Evaluating Knowledge, Attitudes and Practices of Livestock Value Chain Actors on Climate Smart Agriculture/Livestock (CSA/L) in Kajiado County, Kenya

Page created by Martin Bailey
 
CONTINUE READING
Evaluating Knowledge, Attitudes and Practices of Livestock Value Chain Actors on Climate Smart Agriculture/Livestock (CSA/L) in Kajiado County, Kenya
Asian Journal of Agricultural Extension, Economics &
                           Sociology

                           39(4): 134-148, 2021; Article no.AJAEES.68508
                           ISSN: 2320-7027

       Evaluating Knowledge, Attitudes and Practices of
         Livestock Value Chain Actors on Climate Smart
        Agriculture/Livestock (CSA/L) in Kajiado County,
                                                  Kenya
                 Mary W. Thongoh1, H. M. Mutembei2*, J. Mburu3 and B. E. Kathambi1
1
 Wangari Maathai Institute for Peace and Environmental Studies (WMI), University of Nairobi, Kenya.
                                        2
                                         Department of Clinical Studies, University of Nairobi, Kenya.
                                 3
                                  Department of Agricultural Economics, University of Nairobi, Kenya.

                                                                                              Authors’ contributions

     This work was carried out in collaboration among all authors. Author MWT managed the Research
          design, data collection and manuscript preparation. Authors HMM, JM and BEK prepared the
                                        manuscript. All authors read and approved the final manuscript.

                                                                                                   Article Information

                                                                                    DOI: 10.9734/AJAEES/2021/v39i430568
                                                                                                                   Editor(s):
                         (1) Dr. Rajesh Kumar, Lala Lajpat Rai University of Veterinary and Animal Sciences (LUVAS), India.
                                                                                                                 Reviewers:
                                                              (1) Waleed El Said El Sayed Mohamed Abou El Amaim, Egypt.
                                 (2) I. Shakuntala Devi, Professor Jayashankar Telangana State Agricultural University,India.
                                              Complete Peer review History: http://www.sdiarticle4.com/review-history/68508

                                                                                            Received 06 March 2021
    Original Research Article                                                                Accepted 11 May 2021
                                                                                             Published 15 May 2021

ABSTRACT

The livestock sector is a major contributor to food security and is mainly practiced by the rural poor
but faces climate related threats. While there are many natural occurrences impacting the average
global temperature and consequently livestock production, human activities in the sector continue to
be a main contributing factor to climate change as a result of greenhouse gas emissions. However
there has been little attention paid to integration of climate smart initiatives into livestock production
and beyond into the value chains especially in ASALs where 80% of livestock production is found. A
mixed method approach was used to evaluate KAP (knowledge, attitudes and practices) of the
Livestock value chain actors (MSMEs). Linking Climate Smart Agriculture (CSA) to MSMEs within
the livestock sector value chains is imperative to producers’ engagements within the livestock value
chain, reducing climate risks and increasing resilience. The study revealed that actors relate climate
change to weather variability, extreme weather conditions and drought and CSA/Livestock as a
_____________________________________________________________________________________________________

*Corresponding author: E-mail: muiaceke@gmail.com;
Evaluating Knowledge, Attitudes and Practices of Livestock Value Chain Actors on Climate Smart Agriculture/Livestock (CSA/L) in Kajiado County, Kenya
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

concept is not well understood; there is a general knowledge of climate change albeit with low
understanding on its relationship with livestock, and concern among the value chain actors on the
impacts of climate change on productivity and the willingness to take part in actions aimed at
protecting the environment and mitigating climate change. There is need to provide context-based
CSA technologies, innovation, and management practices (TIMPs) tailored to pastoral livestock
production and ASALs value chains, strengthening of peer-to-peer learning and improving extension
services to increase awareness, trainings and enhance adoption of CSA since most actors interact
with extension officers, and with each other along the chains.

Keywords: Climate Smart Agriculture/Livestock (CSA/L); Technology, Innovations, and Management
          Practices (TIMPs); climate smart value chains; climate change; knowledge; practices;
          attitude; MSMEs.

1. INTRODUCTION                                        order to mitigate against negative effect on
                                                       climate from keeping of large herds of livestock
Livestock production impacts heavily on climate        by farmers thereby leading to land degradation,
change by being the world's largest user of land       and high methane GHG emissions, the aspect of
directly through grazing and indirectly through        knowledge, attitudes and practices amongst the
consumption of fodder and feed grains while at         livestock value chain actors need to be
the same time producing 14.5 percent of                addressed [1,12,13].
anthropogenic greenhouse gas emissions [1]. In
Kenya livestock production is carried out mainly       Climate Smart Agriculture (CSA) is an approach
in the climate change sensitive rural arid and         that helps to guide actions needed to transform
semi-arid (ASAL) villages that occupy over 85%         and reorient agricultural systems to effectively
of the land mass [2-4]. Kajiado county of Kenya        support development and ensure food security in
is part of these ASAL areas where there are            a changing climate through -coordinated actions
untapped opportunities for integrating climate         among different actors in the value chain towards
smart within livestock value chain to achieve          climate resilient pathways [14,15]. Agricultural
triple wins of improved productivity, enhanced         value chains mainly consist of micro, small to
resilience and reduction of greenhouse gas             medium enterprises (MSMEs) while in some
emissions [4].                                         ASALs there are only micro and small
                                                       enterprises. However little has been done to pay
The practice of livestock production in Kajiado        attention on integration of climate smart
has been pastoralism that is dependent on              initiatives into MSMEs within the livestock value
migrating large herds of cattle, sheep and             chain [14,16,17].
goats(shoats) into open grasslands which have
currently been threatened by ballooning human          Sustainability of climate smart initiatives are
population and shifts of land use towards urban        highly dependent upon knowledge, attitudes and
settlement [5,6]. Since livestock production is key    practices of the actors on the same [18]. Studies
to Kenyan economy and survival of many people          have shown that these attributes influence the
living in ASAL communities, it is prudent that         behaviour of the actors involved in such
climate smart initiatives are integrated into its      initiatives in the way they interphase and interact
value chain for sustainability [1,7,8]. Value chain    with regulating institutions [19]. Such attributes
consist of range of activities necessary to            are built through experience, formal training and
transform raw materials into product or services       social cues. Personal attitude and psychological
in this case from livestock farms to red meat          factors such as environmental identity and values
consumers, including all men, women and                [20] are also important. In livestock value chain
business that add value at each step. Value            for instance, the actors would embrace climate
chains can boost productivity, rural incomes,          smart skills practices that ensure maximum
reduce poverty, improve food security and              yields and profitability [21,22].
address climate change challenges if well
integrated and efficient [9].                          This paper discusses the importance of
                                                       understanding actors’ knowledge, attitude and
CSA need to be integrated into production,             practices of the livestock value chain actors on
marketing and processing sectors of the livestock      climate smart initiatives in order to integrate the
in order to achieve sustainability [10,11,4]. In       same in decisions of managing Micro, small and

                                                   135
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

medium enterprises (MSMEs) within the chain.              practices can only result from social behavior
Understanding and integrating such decisions              that promotes environmental sustainability [25].
into the value chain will lead to addressing              To effectively understand climate change in
climate change threats, impacts and resilience            relations to livestock production, awareness/
on livestock production in ASAL areas for                 education is an essential element of the global
sustainability [23].                                      response to climate change [26]. Climate change
                                                          education helps individuals comprehend and
2. THEORETICAL AND                 CONCEPTUAL             address the impact of global warming.
   BACKGROUND                                             Furthermore, it encourages changes in their
                                                          attitudes and behavior and helps them adapt to
The Livestock value chain in ASALs is composed            the climate change-related trends as a strategy
of several actors of which majority are Micro,            in building resilience for sustainable futures [27-
Small and Medium Enterprises (MSMEs) who                  29].
play an important role in the whole value chain
[14]. MSMEs consist of businesses whose staff             Fig. 2, shows that propagating sustainability
establishment range from 1-99 employees,                  values require building value chain actors’
MSMEs span over many sectors of the Kenyan                requisite skills (knowledge, attitude and
economy, they operate both formally and/or                practices)     and    desire   for   meaningful
informally [4].                                           behavior change; in this case the farmer who
                                                          rears the livestock, the traders and transporter
Previous authors have used social network and             who buys the livestock, the processor of the
institutional theory to argue out a case of failed        livestock, the distributor and retailer of the
sustainability values in a society [24]. Institutional    product (beef and shoats that make the red
theory outlines a deeper and more adaptable               meat value chain). Actors hence acquire the
aspects of social structure whereby the                   pride behavior of integrating sustainability
processes by which values are built by                    practices within the livestock value chain
institutions that establish schemes, rules, norms,        by integrating CSA TIMPs and obeying
and routines, which then become accepted as               relevant laws. Such climate smart behavior
authoritative guidelines for social behavior [24].        would then take a shape of sustained actor
                                                          decisions and actions (the mission and goals of
Social behavior is shaped by awareness,                   the transformed value chain), which would then
knowledge, and accepted and repeated practices            become institutionalized to realize desired
in a social group. Sustainable climate smart              benefits [30].

                Fig. 1. The Livestock Value Chain system; Adapted from Daniel et al., 2018

                                                      136
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

                                                                          Awareness
                                                                         of sustainable
         Full Integration & institutionalisaton of                      practics such as
         sustainable practices & CSA TIMPs into the value                 CSA TIMPs
         chains.
         Realization of benefits
         Improved productivity & incomes, adaptation
         and migitigation of climate change

          Adoption of change                                                         Knowledge
          New sustainable practices, &                                   of context based CSA TIMPs and
          behaviours.                                                          sustainable practices
          peer to peer influence
          compliance with laws & regulations Capacity for change
                                                       Building
                                   Livestock value chain actors' capacity & desire
                                     to practice sustainable practies such as CSA
                                                        TIMPs.
                                         Introduction of incentives & support
                                           Taking of personal responsibility

                          Fig. 2. AKCAIR conceptual model by the author

2. MATERIALS AND METHODS                                  felling, charcoal burning, over harvesting of sand,
                                                          risking loss of bio-diversity, pollution and loss of
2.1 Study Area                                            aesthetic value. Flash floods are a common
                                                          menace during long rains season mainly
This study was conducted in four out of the six           because of erosion and lack of vegetation cover
sub counties in Kajiado County, Kenya by taking           [31].
into consideration the culture of the inhabitants
(Fig. 3). It is situated between Longitudes 360 5’        2.2 Research Design
and 370 5’ East and between Latitudes 10 0’ and
30 0’ South. The county covers an area of                 A cross-sectional survey was done [32] and use
21,900.9 square kilometres (Km2). The current             of questionnaire to carry out in depth interviews
Kajiado county integrated development plan [31]           of actors (input suppliers, pasture and livestock
indicates pastoralism as a major economic                 producers, traders, processors, slaughter house
activity in the county with major stocks being            workers, distributors and retailers of meat and
cattle, sheep and goats. Livestock trade, and             consumers, and key informant interviews.
products such as milk, beef and chevon, hides             Besides, personal observation during site visits
and skins form the main part of household                 to livestock keepers, livestock traders, market
incomes. The CIPD is focused on improving rural           outlets and processors was carried out.
incomes and food security, through enhanced
livestock productivity, value addition on                 2.3 Data Collection and Analysis
agricultural and livestock produce. Kajiado being
an ASAL is characterized by prolonged periods             Both quantitative and qualitative data were
of abnormally low rainfall and shortage of water,         collected on actors’ knowledge, attitude and
negatively impacting the ecosystem and                    practices. The data and information captured
agriculture hence the local economy which is              processes of production, distribution and
highly dependent on pastoralism. Some of the              marketing. Informants included input suppliers,
areas have been highly degraded by illegal tree           producers, traders, middlemen, processors,

                                                      137
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

                         Kajiado
                         County

          Fig. 3. The map of the study areas- map of Kenya showing Kajiado County

and      distributors/retailers, consumer    and      livestock value chain in Kajiado. This is not
stakeholders in the extended and enabling value       unique since adoption precedes integration, all
chains (extension officers, bankers, insurance        factors that create an efficient value chains
agencies, and microcredits, central and county        where     every   actor    achieves   maximum
government,        government     agencies   and      productivity may not be in place especially
development partners) and from research               bearing in mind that the red meat value chain is
institutions and universities. Following Mugenda      underdeveloped in Kenya and specifically in
and Mugenda et al. (2010) and Mutisya and             ASALs [34].
Barker [33], a sample size of 459 respondents
were sampled across the value chain. Context          Most actors are in some way aware on the
and thematic analysis were used for qualitative       concept of value chain, this was supported by the
data analysis while the quantitative data was         aggregate score of the Likert items in Fig. 4
analyzed with the aid of Statistical Package for      below which indicated an agreement level of
Social Sciences (SPSS) and reported in tables,        80.2% on value chain concept awareness.
frequencies, charts and graphs. Statistical           Creating more efficient value chain calls for
inferences were also made from regression, chi-       involvement and knowledge of the value chain
square and differences observed in various            concept of many actors from livestock farmers,
actors using the 95% confidence interval              traders, transporters, processors, distributors and
(P=0.05).                                             retailer and the input suppliers because engaging
                                                      all the actors can improve value chain
3. RESULTS                                            performance [9] and hence the incomes of the
                                                      actors.
3.1 Knowledge       of     the     Value   Chain
    Concept                                           Retailers are the butcheries, eateries, kiosks,
                                                      Nyama choma (meat roasting) joints while
Table 1 show that other than the actor’s feeling      distributors are those who buy meat from
that they do not have the support to effectively      processors (slaughter houses) and sell to
participate in the livestock value chain, all of      butcheries and nyama choma joints, and the bulk
them significantly felt not integrated into the       of their business being to schools, hotels and
livestock value chain in Kajiado (P= .04) even        institutions.
though they are aware that they are part of the

                                                  138
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

                  Table 1. Actor awareness of the livestock Value Chain concept

 Parameter                                                                       Agree %         Disagree %
                                                                                 (Positive)      (Negative)
                                                                                       a               b
 I believe I am part of the red meat business/value chain in Kajiado             5.5±.4          88±4.4
                                                                                         a               b
 I have a market/someone to sell my product/services                             16.7±.8         75.6±3.9
 The red meat value chain contributes to my income                               16.4±.8a        76.2±3.8b
                                                                                         a               b
 I have access to necessary information I need to participate                    17.9±.9         64.3±3.2
 effectively in the value chain
                                                                                           a             b
 I believe I have the skills and experience to effectively participate in        14.3±.7         71.6±3.6
 the value chain
 I have the support/enablement to effectively participate in the value           57.5±2.9a       22.9±1.1b
 chain

        45                                                                                     42.3%
        40                                                               37.9%
        35
        30
        25
        20
        15
                                    7.6%               8.9%
        10
                   3.3%
         5
         0
             Strongly Disagree      Agree             Neutral            Agree          Strongly Agree

                            Fig. 4. Knowledge on the Value Chain Concept

   Table 2. Regression Coefficients of Model Factors on Awareness of Value Chain Concept

                                                        B        S.E.       Wald      df       Sig.    Exp(B)
  Step 1a    Age of Respondents                         0.25     0.129      3.788     1        0.052   1.284
             Level of Education                         0.124    0.122      5.031     1        0.031   1.132
              Age of your business/activity (years)     -0.822   0.12       47.11     1        0       0.439
              Gender                                    0.76     0.278      4.499     1        0.046   0.468
             Constant                                   4.629    0.782      35.074    1        0       102.428

At least 80% believe in media as the main source        implies that the actors have heard of the concept
of awareness and knowledge on the value.                of climate change. Climate change is associated
Regression results in Table 2 show that only            with weather variability (50.4%), followed by
three factors affect the awareness of Value             extreme weather (26.5%) and frequent droughts
Chain concept. These factors are level of               (12.9%).
education (P= .031), age of the business
(P=.000) and gender (P= .046). Out of these             3.1.2 Knowledge on climate smart value
factors level of education and gender (more                   chain concepts
males) is associated with increased knowledge
on value chain while an increase in age of              In testing the knowledge of actors on different
business is linked with diminished knowledge on         concepts, results in Fig. 6 show that most actors
value chain concept.                                    have heard of building resilience (34.8%) and
                                                        reducing poverty (31.1%). The actors on other
3.1.1 Understanding of climate              change      remaining concepts had awareness of less than
      among the value chain actors                      7%. Actors’ awareness on climate smart
                                                        agriculture and climate smart animal/livestock
Majority of the respondents (76%) were aware of         agriculture were only at 5.3% and 6.1%
the climate change as shown in Fig. 5. This

                                                    139
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

respectively. This implies that most actors may          poverty). This could be attributed to the fact that
not    be     aware       about    climate   smart       processors are located in urban towns within
livestock/agriculture as a stand-alone concept           Kajiado county where they have access to
even though they were aware of climate change.           information and they connect producers and
This observation might be unique and not                 traders to distributors and retailers, this makes
worrying for counties like Kajiado where climate         them central to a lot of value chain information.
smart agriculture practices are rare within the
livestock value chain. Based on the high number          3.2 Attitude on the Climate Smart
of development actors in rural Kenya tackling the            Livestock Value Chain Concept
subject of poverty it’s possible the actors may
have come across the concepts of resilience              Table 3, presents results on the views of actors
building and poverty reduction but since climate         about negative effect of their business activity on
smart agriculture is still a new concept there may       the environment. As can be seen majority of the
not be many organizations teaching on the same           actors (61%) believed that their business can
and especially in livestock/red meat value chains        impact the environment negatively. About 71% of
since most of the focus has been on food crop            the actors also revealed that they believed that
value chains [14,35].                                    their business should be involved in protecting
                                                         the environment. This is not surprising especially
A cross-tabulation results indicated that producer       following the enactment of the environmental
of the value chain was more aware on reducing            management act and the awareness campaign
poverty and building resilience. Similarly,              ran by the NEMA (National Environment
middlemen/aggregators, distributors/retailers and        Management Authority) and various NGOs,
consumers were equally aware on reducing                 though the awareness is not specific to the
poverty and building resilience as climate related       livestock value chains.
concepts. On the other hand, input suppliers
were aware about increased productivity and              Fig. 7 shows an overview of results on how
building resilience as climate change related            actors’ business activities can impact the
concepts. As for the processors, they were               community. It shows that most of the actors
relatively knowledgeable on the five constructs          believed that their business can impact the
(climate smart animal/livestock agriculture,             environment more than other aspects (reduce
increasing productivity, building resilience,            poverty, quality of life, create jobs).
livelihoods/livelihoods protection and reducing

          Weather variability/uncertain
                                                                                            50.40%
         /unpredictable weather seasons.
           Extreme weather/too hot/high
                                                                     26.50%
                temperatures/ low…
                      Frequent Droughts                   12.90%

                               Little rain        5.90%

                     Floods /flash floods        4.30%

                                         0.00%            20.00%             40.00%             60.00%

     Fig. 5. Understanding of Climate change among value chain actors in Kajiado County

                   Table 3. Effects of value chain activities on the environment

Parameter                                                                        Yes (%)           No (%)
Do you believe that businesses/ your activities/ have any negative               39.5±2a           60.5±3b
impact on the environment?
Should your business/ your activities/actions be involved in                     71.1±3.6          28.9±1.4
protection of environment?

                                                    140
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

      40.0%
              34.8%
      35.0%           31.1%
      30.0%
      25.0%
      20.0%
      15.0%
      10.0%                   6.8%      6.1%      6.1%      5.3%
       5.0%                                                         3.0%     2.3%     2.3%     1.5%     0.8%
       0.0%

                   Fig. 6. Knowledge on climate Smart Value Chain concepts

        45%           42%
        40%
        35%
        30%
        25%                                    22%
                                                                       20%
        20%                                                                                    16%
        15%
        10%
         5%
         0%
                  Improve the        Improve quality of life       Create jobs           Reduce poverty
                  environment

   Fig. 7. The positive social impacts the value chain activities can have on the community

3.3 Existing MSME Practices in Climate                    sustainable     practices    among     staff and
    Smart Agriculture and Livestock                       stakeholders (11%), reuse or recycling of
    Value Chains in Kajiado County                        materials (10%) and having environment days
                                                          like cleaning or tree planting days (10%).
The results in Table 4 shows actors used
different sustainable practices and the usage of          Cross-tabulation on the relationship between
the different sustainable practices ranged                Technologies/Innovations and Extended Value
between 8% and 12%.                                       Chain Actors revealed that financial institutions
                                                          and        associations/cooperatives    adopted
Fig. 8 shows the technologies and practices               measures geared towards risk management
employed by the value chain actors in their               such as insuring of business and setting aside
activities were having an emergency fund (13%),           emergency funds. And indicated that for enabling
insuring businesses against weather effects               value chain, the County government adopted
(13%) having an awareness/knowledge on                    measures geared towards reducing risks while
                                                          multi-lateral agencies adopted measure that

                                                      141
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

would enhance        sustainability    and      mitigate     Amongst the retailers who do not use cold
against risks.                                               storage facilities, most reported that they did not
                                                             need storage facilities (37.8%) and that it was
3.3.1 Use of cold storage facilities among                   expensive (21.8%). Non-importance of cold
      value chain actors                                     storage facilities was also supported by 14.5%
                                                             who reported that all meat is sold before end of
Findings on use of cold storage facilities                   day and 12.6% who buy meat buy enough for
demonstrated that majority of retailers (57%) do             consumption on a given day. Meat being an
not use cold storage facilities. 43% of those who            expensive food in Kenya, there is hardly any
use cold storage facilities, mainly used deep                waste. Table 6 shows that meat waste was
freezer/fridge as shown in Table 5.                          mainly used for dog food production.

                  Table 4. Sustainable practices, technologies or innovations used

 Parameter                                                                                        Practiced by (%)
 Livestock insurance/emergency fund                                                               12±.6a
                                                                                                        a
 Water harvesting for livestock                                                                   12±.6
                                                                                                          a
 Crop and livestock mix                                                                           11±.55
 Adaptive breeds /animal breeding/appropriate breeds/animal genetic resources                     11±.55a
                                                                                                        a
 Manure and composting                                                                            10±.5
 Keeping a variety of livestock                                                                   10±.5a
                                                                                                        a
 Reduce/reuse/recycling e.g., Biogas                                                              9±.45
                                                                                                        a
 Weather warning/agro- weather systems                                                            9±.45
                                                                                                      a
 Grassland management and restoration/Pasture management                                          8±.4
                                                                                                      a
 Better feeds and feed supplements                                                                8±.4
                                            Confidence Interval (CI) = 95%

            14%      13%    13%

            12%                       11%     10%    10%     10%
            10%                                                      9%
             8%                                                              7%
             6%                                                                      5%      5%      4%
                                                                                                            4%
             4%
             2%
             0%

              Fig. 8. Climate Smart technologies in use by the Value Chain Actors
                                       Table 5. Type of storage facility

 Cold storage facility                                                    Frequency                  Percent
 Traditional cooler/Charcoal cooler                                       2                          1
 Deep freezer/Fridge                                                      195                        99
 Total                                                                    197                        100

                                                         142
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

                              Table 6. Meat waste disposal mechanism

 Handling meat wastes                                                       Frequency               Percent
 Food to dogs/sold to dog owners as dog food                                44                     75%
 Disposing off with other wastes                                            13                     22%
 Disposing for paid collection                                              1                      2%
 In making ornaments                                                        1                      2%
 Total                                                                      59                     100%

3.3.2 Meat    Wastes    handling    mecha-              chains, and there has also been a low
      nisms/Practices among the Value chain             understanding of the relationship between
      actors                                            climate change and livestock production
                                                        [26,13,25].
Table 6 shows, about 75% of actors used meat
waste as dog food while the hooves and horns            Awareness and knowledge can help the actors
are used in making ornaments, sold to those who         appreciate and address the impact of global
sell traditional artefacts and jewelry. At abattoirs    warming on their activities. Knowledge of all the
offal are given to workers, who sell them or use        aspects of the value chain is key in adopting
them for making traditional dishes popular with         CSA        (technologies,     innovations       and
locals and what is not cooked is sold as dog food       management practices) TIMPs [37], the concept
or disposed off with other waste.                       of the value chain can act as an entry point to
                                                        knowledge on climate change, related concepts,
4. DISCUSSIONS                                          CSA and CSA TIMPS. Furthermore, knowledge
                                                        encourages changes in attitudes and behavior
The Livestock value chain in ASALs is composed          and helps actors adapt to the climate change-
of several actors who play an important role in         related trends as a strategy in building resilience
the whole value chain [14]. Majority of the actors      for sustainable futures [27-29].
in this study had enterprises with less than 10
employees (80.8%), hence most of them can be            The level of climate change awareness if linked
categorized as micro enterprises and they               to value chain productivity and livelihood
operate both formally and/or informally [4].            protection can be used to effectively engage the
                                                        actors/MSMEs to adopt CSA TIMPS within the
Most of the actors in the study were aware of the       value chain [13,38] as a means to develop
value chains concept and its contributions to their     climate smart value chains by mitigating the
livelihoods, they were conscious that they              effects of climate change on productivity and
interact with other actors, exchanging and getting      incomes.
value within the livestock ecosystem. Majority of
the respondents were aware of the climate               The transaction and agency theory, states that
change implying they have heard the term                habits, norms and institutions play a significant
climate change. The actors mainly associated            role in directing human behavior (practices) and
Climate change with three factors, namely;              that individuals will only be willing to adopt a new
weather variability, extreme weather and                practice or technology if they are able to perceive
frequent droughts. This suggests that climate           the benefit it comes with [39-41]. Hence
change to most actors is a weather index factor         increasing awareness of climate change and
but were not aware of climate smart agriculture         CSA is not enough the awareness/education
(5.3%) as a concept [36]. The actors did not            efforts much also sell the benefit of CSA
effectively understand climate change in relations      knowledge and its application and implications to
to livestock value chain, implying that awareness       the actors.
is essential in responding to climate change [26].
The low understanding can be attributed to the          Collectively as a chain there is fair appreciation
fact that CSA as a concept is still at its nascent      of climate change related concepts even though
years having first been launched during the             individually at the actor level there are noticeable
Hague Conference on Agriculture, Food Security          gaps. The context and perceptions, attitude and
and Climate Change in 2010 [1]. Equally                 knowledge of CSA and TIMPs along the value
knowledge of CSA in the livestock sector would          chains can determine various levels of
be low because more emphasis have previously            understanding and adaptation to climate change
been placed on crops than livestock value               [42] and hence actors/MSMEs can be leveraged

                                                    143
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

to disseminate information to each other based          The usage of different CSA practices among the
on their knowledge level.                               value chain actors was very low which implies
                                                        that adoption of technology and use of
Understanding how the social systems that               innovations in livestock production in Kajiado is
includes level of education, age and gender             still very low and this can be related to the
affects awareness is critical in the application,       findings on low awareness on CSA among the
adoption and scaling of CSA TIMPs among the             actors. Climate change education can encourage
value chain actors [43,38,44]. The three critical       changes in attitudes and behavior and helps in
factors affecting the knowledge level on the value      adoption of climate change-related trends as a
chain concept were; level of, age of the business,      strategy in building resilience for sustainable
gender and education. Most of the respondents           futures [27,29].
were youths (65.2%), and male, 72.3%
suggesting that the livestock value chain is male       The demand for meat in Kenya is driven by
dominated, this is because the livestock keeping        population growth, increasing economic welfare,
and trading is culturally and by gender roles           a growing middle class and urbanization, in
mainly a male role and livestock production             Nairobi alone, the demand for meat is expected
requires economic capacity of which women are           to double by 2030 [53]. Consequently, more
at a disadvantage especially in the pastoralist         meat waste is likely to be generated from the
community [45].                                         sector across the value chains actors hence the
                                                        need to strengthen proper waste management
Value chains and social networks do not only            practices amongst the MSMEs [1, 14] as the red
exchange products but also information and              meat value chain develops [54].
knowledge and due to their higher level of
education and thus awareness, input suppliers,          5. CONCLUSION             AND      RECOMMENDA-
consumers and end customers can be leveraged               TIONS
as key source of information on CSA and CSA
TIMPS to other actors within the value chain.           5.1 Conclusion
Since training on related topics to climate smart
agriculture can influence the actors' likelihood to
                                                        The       concept      of     Climate      Smart
adopt technologies, there is a possibility of
                                                        Agriculture/Livestock is not well understood
leveraging existing knowledge on reducing
                                                        among the value chain actors hence the difficulty
poverty and building resilience to improve CSA
                                                        in adoption of CSA TIMPS. This is attributed to
awareness [46]. To effectively transfer CSA
                                                        the concepts being at a formative stage, lack of
knowledge and information there is need to find
                                                        extension officers in the value chain alongside
innovative ways to tailor the CSA information and
                                                        the nature of operations amongst the
modes of transmission to the actors’ level of
                                                        actors/MSMEs especially the producers who are
literacy. Availability of extension officers is also
                                                        pastoralists and nomads, and the fact that
very critical to promoting adoption and new
                                                        livestock value chains, especially in ASALs, are
innovation such as CSA TIMPs [47] and will
                                                        still very underdeveloped and fragmented.
effectively compliment sources such as media,
                                                        Equally previous research and efforts on CSA
workshop and training.
                                                        and CSA TIMPS was mainly focused on
                                                        agriculture crop production and related value
 The activities in the value chain have both direct
                                                        chains and neglecting livestock value chains
and indirect effects on the environment,
                                                        hence there is limited TIMP specifically tailored
moreover, Livestock sector is an emitter of
                                                        to livestock production and specifically to the
GHGs, this includes carbon monoxide, methane
                                                        unique pastoral value chains.
and nitrous oxide from livestock farming [48]. It is
therefore of critical importance that sustainable
                                                        On the positive, the value chain actors are
ways are put in place to ensure that production is
                                                        concerned about the impacts of climate change
maintained at an optimum level while the
                                                        on their activities and are consequently aware of
environment is safeguarded [49-51] and the
                                                        the impacts their activities have on the
findings that majority of the respondents believe
                                                        environment hence willing to take part in
that their business affects the environment and
                                                        initiatives aimed at ensuring environmental
are consequently willing to be involved in the
                                                        protection as well as curbing climate change
protection of the environment is a step forward in
                                                        risks and finally, the actors have incorporated
building sustainable and climate resilient
                                                        various sustainability strategies but mainly for
livestock value chains [52,4].

                                                    144
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

cost reduction, mitigate against economic loss        whom this research would not have been
and compliance with county regulations not            possible.
necessarily for environmental and social
protection or as a result of personal                 COMPETING INTERESTS
responsibility.
                                                      Authors have        declared     that   no   competing
Livestock sector will continue to grow at a faster    interests exist.
rate hence the phrase, “Livestock revolution” and
because of this expansion, there is an urgent         REFERENCES
need to embed sustainable practices such as
CSA TIMPs into the livestock value chain to           1.     FAO. Value chain analysis: A case study of
achieve food security, mitigate effects of climate           mangoes in Kenya. Sugar and Beverages
change but also achieve sustainability.                      Group Raw Materials, Tropical and
                                                             Horticultural       Products        Service
5.2 Recommendations                                          Commodities and Trade Division Food and
                                                             Agriculture Organization of the United
The study recommends the following;                          Nations. 2013;11.
                                                      2.     Mureithi, Stephen M, Verdoodt, Ann,
     Having reported low knowledge on CSA,                  Njoka,      Jesse,    Gachene,     Charles,
      there is need to enhance awareness on                  Meyerhoff, Elizabeth, Van Ranst, Eric.
      the Climate Smart Agriculture (CSA)                    Benefits derived from rehabilitating a
      through context-based CSA information,                 degraded       semi-arid    rangeland     in
      innovative channels of dissemination, like             communal enclosures, Kenya. Land
      leveraging mobile technology and there is              Degradation & Development. 2014;27.
      need for strengthening of extension                    DOI:10.1002/ldr.2341.
      officers in the sector.                         3.     Wreford, Anita, Ignaciuk, Ada, Gruere,
     Resulting from the scarce CSA practices,               Guillaume. Overcoming Barriers to the
      there is need to enhance research and                  Adoption of Climate-Friendly Practices in
      practices specific to Climate Smart                    Agriculture; 2017.
      Livestock (CSL) value chains and further               DOI:10.1787/97767de8-en.
      inform the development of context based         4.     Ministry of Agriculture, Livestock, F, I.
      CSL TIMPs suited to unique challenges of               Agricultural sector transformation and
      ASALs and the Pastoralist livestock                    growth strategy: towards sustainable
      production.                                            agricultural transformation and food
     There is need to leverage actors across                security In Kenya. 2018;46.
      the value chain who have a higher               5.     Tánago, Itziar, Urquijo Reguera, Julia,
      awareness of climate change and related                Blauhut, Veit, Villarroya, Fermin, De
      concepts such as the input suppliers,                  Stefano, Lucia.. Learning from experience:
      processors      (slaughter   houses)    and            A systematic review of assessments of
      consumers as climate smart peer                        vulnerability to drought. Natural Hazards.
      educators and awareness advocates within               2016;80.
      the livestock value chain.                             DOI:10.1007/s11069-015-2006-1.
     It’s clear that agricultural production will    6.     World Bank. The World Bank Annual
      need to expand by 60% by 2050 to meet                  Report 2019: Ending Poverty, Investing in
      increased food demand, and most of this                Opportunity. Washington, DC: World Bank.
      cannot be met by increased land but from               ©          World         Bank;        2019.
      increased productivity. Hence there is                 Available:https://openknowledge.worldban
      need for further research on sustainable               k.org/handle/10986/32333 License: CC
      ways of transitioning from the nomadic                 BY-NC-ND 3.0 IGO
      pastoralist open land-based livestock           7.     Stein C, Barron J. Mapping actors along
      production systems, to those that require              value chains: integrating visual network
      less land.                                             research and participatory statistics into
                                                             value chain analysis. Mapping Actors
ACKNOWLEDGEMENT                                              along Value Chains: Integrating Visual
                                                             Network Research and Participatory
I would like to acknowledge the support of my                Statistics into Value Chain Analysis; 2017.
family, the KCSAP and my supervisors without                 DOI:https://doi.org/10.5337/2017.216

                                                  145
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

8.    Stoian D, Donovan J, Fisk J, Muldoon MF.              sub-Saharan Africa. International Journal
      Value chain development for rural poverty             of Agricultural Sustainability. 2014;13.
      reduction: a reality check and a warning.             DOI:10.1080/14735903.2014.912493
      Financial and Market Integration of            17.    Mwongera C, Nowak A, Notenbaert AMO,
      Vulnerable People, September. 2015;71–                Grey S, Osiemo J, Kinyua I, Lizarazo M,
      86.                                                   Girvetz E. Climate-Smart Agricultural
      DOI:https://doi.org/10.3362/978178044887              Value Chains: Risks and Perspectives. In
      9.006                                                 The Climate-Smart Agriculture Papers.
9.    World Bank. The World Bank Annual                     Springer        International       Publishing.
      Report 2012 : Responding with Knowledge               2019a;235–245.
      and Experience. World Bank Annual                     DOI:https://doi.org/10.1007/978-3-319-
      Report;. Washington, DC. © World Bank.                92798-5_20
      2012;2.                                        18.    Fielding, Kelly, Hornsey, Matthew. A social
      Available:https://openknowledge.worldban              identity analysis of climate change and
      k.org/handle/10986/11845 License: CC BY               environmental attitudes and behaviors:
      3.0 IGO.                                              Insights and opportunities. Frontiers in
10.   Ogutu JO, Piepho HP, Said MY, Ojwang                  Psychology. 2016;7.
      GO, Njino LW, Kifugo SC, et al. Extreme               DOI:10.3389/fpsyg.2016.00121.
      Wildlife Declines and Concurrent Increase      19.    Raciti, Steve, Groffman, Peter, Jenkins,
      in Livestock Numbers in Kenya: What Are               Jennifer, Pouyat, Richard, Fahey, Timothy,
      the        Causes?         PLoS       ONE.            Pickett, STA, Cadenasso, Mary. Nitrate
      2016;11(9):e0163249.                                  production and availability in residential
      DOI:https://doi.org/10.1371/journal.pone.0            soils. Ecological applications: a publication
      163249                                                of the Ecological Society of America.
11.   Mirzabaev A. Improving the resilience of              2011;21:2357-66. DOI:10.2307/41416663.
      central asian agriculture to weather           20.    Fielding, Kelly, Hornsey, Matthew. A social
      variability and climate change. In Natural            identity analysis of climate change and
      Resource Management and Policy.                       environmental attitudes and behaviors:
      Springer.                 2018;52:477–495.            Insights and opportunities. Frontiers in
      DOI:https://doi.org/10.1007/978-3-319-                Psychology. 2016;7.
      61194-5_19                                            DOI:10.3389/fpsyg.2016.00121.
12.   Grossi, Giampiero, Goglio, Pietro, Vitali,     21.    Ali, Akhter, Erenstein Olaf. Assessing
      Andrea, Williams, Adrian. Livestock and               farmer use of climate change adaptation
      climate change: Impact of livestock on                practices and impacts on food security and
      climate and mitigation strategies. Animal             poverty in Pakistan. Climate Risk
      Frontiers. 2018;9. DOI:10.1093/af/vfy034.             Management.                 2017;16:183-194.
13.   Nations U. Climate change, Impacts,                   DOI:10.1016/j.crm.2016.12.001.
      Adaptation, Ports, Seaports, Coastal           22.    Williamson, Ian, Enemark, Stig, Rajabifard,
      transportation © 2019; 2019.                          Abbas.       Land       Administration      for
14.   Sourcebook S. Climateesmart Agriculture;              Sustainable Development; 2009.
      2013.                                          23.    Chandler CIR. Knowledge, attitudes, and
      Available:www.fao.org/                                practice     surveys.     the     international
15.   Karami S, Shobeiri SM, Jafari H, Jafari H.            encyclopedia of anthropology. 2018;1–2.
      Assessment of knowledge, attitudes, and               DOI:https://doi.org/10.1002/978111892439
      practices (KAP) towards climate change                6.wbiea1387
      education (CCE) among lower secondary          24.    Scott W. Institutional theory: Contributing
      teachers in Tehran, Iran. International               to a Theoretical Research Program;
      Journal of Climate Change Strategies and              2005.
      Management. 2017b;9(3):402–415.                25.    UNFCCC. Climate change: Impacts,
      DOI:https://doi.org/10.1108/IJCCSM-04-                vulnerabilities and adaptation in developing
      2016-0043                                             countries; 2010.
16.   Meijer, Seline, Catacutan, Delia, Ajayi,       26.    Tasquier G, Pongiglione F, Levrini O.
      Oluyede       Olu,      Sileshi,    Gudeta,           Climate change: An educational proposal
      Nieuwenhuis, Maarten. The role of                     integrating the physical and social
      knowledge, attitudes and perceptions in               sciences. Procedia - Social and Behavioral
      the uptake of agricultural and agroforestry           Sciences.                2014b;116:820–825.
      innovations among smallholder farmers in              DOI:https://doi.org/10.1016/j.sbspro.2014.0

                                                 146
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

      1.304                                                    Grey S, Osiemo J, Kinyua I, Lizarazo M,
27.   Wang et al.; 2015.                                       Girvetz E. Climate-Smart Agricultural
      Retrieved August 21, 2020,                               Value Chains: Risks and Perspectives. In
      Available:https://www.researchgate.net/pu                The Climate-Smart Agriculture Papers.
      blication/281389709_Wang_et_al_2015                      Springer        International     Publishing.
28.   Heidari MR, Norouzadeh R. Nursing                        2019a;235–245.
      students’     perspectives     on     clinical           DOI:https://doi.org/10.1007/978-3-319-
      education. Journal of Advances in Medical                92798-5_20
      Education & Professionalism. 2015;                36.    Warhurst,     Chris,      Thompson,     Paul.
      3(1):39–43.                                              Mapping knowledge in work: Proxies or
      Available:http://www.ncbi.nlm.nih.gov/pub                practices?. Work Employment and Society
      med/25587554                                             - WORK EMPLOY SOC. 2006;20:787-800.
29.   Oversby J. Teachers’ learning about                      DOI:10.1177/0950017006069815.
      climate change education. Procedia -              37.    Mwongera C, Shikuku KM, Twyman J,
      Social     and      Behavioral     Sciences.             Läderach, P., Ampaire E, Van Asten P,
      2015;167:23–27.                                          Twomlow S,         Winowiecki LA. Climate
      DOI:https://doi.org/10.1016/j.sbspro.2014.1              smart agriculture rapid appraisal (CSA-
      2.637                                                    RA): A tool for prioritizing context-specific
30.   Le QB, Nkonya E, Mirzabaev A. Biomass                    climate smart agriculture technologies.
      productivity-based mapping of global land                Agricultural Systems. 2017;151:192–203.
      degradation hotspots. In Economics of                    DOI:https://doi.org/10.1016/j.agsy.2016.05.
      Land Degradation and Improvement - A                     009
      Global Assessment for Sustainable                 38.    Ouédraogo M, Houessionon P, Zougmoré
      Development.       Springer     International            RB, Partey ST. Uptake of climate-smart
      Publishing.                     2015;55–84.              agricultural technologies and practices:
      DOI:https://doi.org/10.1007/978-3-319-                   Actual and potential adoption rates in the
      19168-3_4                                                climate-smart village site of Mali.
31.   Kajiado C. County Government of Kajiado                  Sustainability (Switzerland). 2019;11(17).
      Integrated Development Plan 2018-2022-                   DOI:https://doi.org/10.3390/su11174710
      Fostering Socio-Economic and political            39.    Lang T. Institutional Theory, New. In The
      development for Sustainable Growth.                      Blackwell Encyclopedia of Sociology. John
      2018;15–114.                                             Wiley & Sons, Ltd. 2018;1–3.
      Available:https://cog.go.ke/downloads/cate               DOI:https://doi.org/10.1002/978140516551
      gory/106-county-integrated-development-                  8.wbeosi050.pub2
      plans-2018-2022                                   40.    Warhurst C, Thompson P. Mapping
32.   Ishtiaq M. Book Review Creswell, J. W.                   knowledge in work: proxies or practices?
      (2014). Research Design: Qualitative,                    Work,      Employment         and   Society.
      Quantitative      and    Mixed      Methods              2006;20(4):787–800.
      Approaches (4th ed.). Thousand Oaks,                     DOI:https://doi.org/10.1177/095001700606
      CA: Sage. English Language Teaching.                     9815
      2019;12(5):40.                                    41.    Poczta-Wajda, Agnieszka. Mechanisms
      DOI:https://doi.org/10.5539/elt.v12n5p40                 and effects of agricultural subsidies – a
33.   Budnick, Andrea, Kreutz R, Draeger D.                    theoretical depiction; 2015.
      Research methods: Qualitative and                 42.    Makate Clifton, Makate Marshall, Mango
      quantitative approaches. Innovation in                   Nelson. Smallholder farmers' perceptions
      Aging. 2017;1:231-232.                                   on climate change and the use of
      DOI:10.1093/geroni/igx004.861.                           sustainable agricultural practices in the
34.   Karami S, Shobeiri SM, Jafari H, Jafari H.               Chinyanja Triangle, Southern Africa. Social
      Assessment of knowledge, attitudes, and                  Sciences. 2017;6:30.
      practices (KAP) towards climate change                   DOI:10.3390/socsci6010030
      education (CCE) among lower secondary             43.    Kuwornu, John, Al-Hassan, Ramatu,
      teachers in Tehran, Iran. International                  Etwire,    Prince,     Osei-Owusu,      Yaw.
      Journal of Climate Change Strategies and                 Adaptation Strategies of smallholder
      Management. 2017b;9(3):402–415.                          farmers to climate change and variability:
      DOI:https://doi.org/10.1108/IJCCSM-04-                   Evidence       from      Northern    Ghana.
      2016-0043                                                2013;5:233-239.
35.   Mwongera C, Nowak A, Notenbaert AMO,

                                                    147
Thongoh et al.; AJAEES, 39(4): 134-148, 2021; Article no.AJAEES.68508

44.  Mutisya      SM,     Barker    M.     Pupils’ 50. Carabine E, Simonet C. Value chain
     environmental awareness and knowledge:            analysis for resilience in drylands (VC-
     A springboard for action in primary schools       ARID): identification of adaptation options
     in Kenya’s Rift valley. In Science                in        key        sectors.       2018;76.
     Education International. 2011;22(1).              Available:https://www.odi.org/sites/odi.org.
45. IFAD. Livestock Thematic Paper, Women              uk/files/resource-
     and Pastoralism; 2012.                            documents/12286.pdf%0Ahttps://www.cab
46. Jeetendra Prakash Aryal, Dil Bahadur               direct.org/cabdirect/abstract/20183299617
     Rahut, Sofina Maharjan, Olaf Erenstein. 51. Thornton P, Enahoro D, Njiru N, Wijk M.
     Factors affecting the adoption of multiple        van, Ashley L. Program for climate-smart
     climate-smart agricultural practices in the       livestock systems. Country stocktake:
     Indo-Gangetic Plains of India; 2018.              Uganda;            2019.          December.
47. Chowdhury, Ataharul, Odame, Helen,                 Available:https://cgspace.cgiar.org/handle/
     Leeuwis C. Transforming the roles of a            10568/106291
     public extension agency to strengthen 52. Krishnan A, Were A, Willem Te Velde D.
     innovation: Lessons from the National             Integrating Kenya’s small firms into leather,
     Agricultural     Extension     Project     in     Textiles and garments value chains:
     Bangladesh. The Journal of Agricultural           Creating jobs under Kenya’s Big Four
     Education and         Extension.    2014;20.      agenda. May 2019; 2019.
     DOI:10.1080/1389224X.2013.803990.             53. Alarcon, Pablo, Fèvre, Eric, Muinde,
48. ldersley A, Murray SJ, Corn SE. Science of         Patrick,     Murungi,    Maurice,     Kiambi,
     the Total Environment Global an d regional        Stella, Akoko, James, Rushton, Jonathan.
     an alysis of clim ate an d h um an drivers        Urban      livestock    keeping     in    the
     of w ild fi re. Science of the Total              City of Nairobi: Diversity of Production
     Environment. 2011; 409:3472–3481.                 Systems,        Supply      Chains,      and
     DOI:https://doi.org/10.1016/j.scitoten            Their Disease Management and Risks.
49. Dekens Julie, Dazé, Angie. Conducting              Frontiers      in    Veterinary     Science.
     gender analysis to inform national                2017;4:171.
     adaptation     plan    (NAP)      Processes:      DOI:10.3389/fvets.2017.00171.
     Reflections from six African countries; 54. Dietz M. Value Chain Governance that
     2019.                                             Benefits the Poor. 2011;1–15.
     DOI:10.13140/RG.2.2.12765.36321.
_________________________________________________________________________________
© 2021 Thongoh et al.; This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited.

                                             Peer-review history:
                         The peer review history for this paper can be accessed here:
                               http://www.sdiarticle4.com/review-history/68508

                                                            148
You can also read