African countries have been facing enormous challenges in adapting to climate change as well as responding to the slowdown in economic growth in recent years. These twin crises have seen increased their being vulnerable and subsequently the effects of climate change and climate variabiity (Recha, 2019) . Sub-saharan Africa is heavily dependent on Agriculture and must adopt to the variances caused by variable climatic conditions. Kenyan households that engage in agriculture solely contributed 31.4% to the rural areas poverty reduction, and, agriculture stays as the largest income source for both poverty stricken and other households in rural areas, according to the most recent World Bank economic analysis (Ayeri, Christian, Josef, & Michael, 2012). The challenges that farmers face are sadly not only the direct effects of climatic variability but also the international demands such as food security , reduction of GHG emissions and many others (Bryan, Ringler, Okoba, Koo, et al., 2013). However, implementing changes is no mean feat due to numerous barriers (Chua et al., 2019 &Moser andEkstrom, 2010) . Policies created for mitigation and adaptation in climate science for rural farmers do not go hand in hand with Immaculate Maumoh et al. International Journal of Advanced Engineering, Management and Science, 7(2)-2021 the farmers' attitude towards climate change. Besides, in Kenya and other East-African countries, notwithstanding the increase in climate information from scientific institutions on climate, there is no knowledge transfer of that data to decision makers (Bryan, Ringler, Okoba, Koo, et al., 2013) as well as other barriers. (Kabisch et al., 2016) posit the literature varies on determining barriers to mitigation and adaptation measures uptake. Drawing from the argument that mitigation and adaptation are different and can be distinguished by behavioral responses. Indeed, mitigation can be defined as a local response to an international need such as reduction of emission of Greenhouse gases, adaptation focuses on a local need and its response thereof (Bryan, Ringler, Okoba, Koo, et al., 2013) an example is food security. In this study, barriers are defined as that which stands in between climate problems as they are identified and their solution which is classified as climate science, and that generally concern itself around the three dimensions of social, biophysical and economic. Behavioral and institutional barriers make up the category of social barriers. The way institutional organizations and their interactions with individuals influence the way individuals are permitted to make changes up to some limit is the institutional barrier related category. Behavioral barriers, on the other hand, are specifically related to how thought processes influence the way individual actors react to climate change stimuli (Jones and Boyd 2011). Environmentally, environmental citizenship behavior is a vital factor in determining uptake of climate science which is Adaptation and mitigation. This behavior preserves and enhances the environment which in turn contributes to sustainable development. Therefore, factors influencing environmental citizenship behavior in this paper aim at promoting sustainable agriculture and consequently, sustainable development. According to the value-belief-norm (VBN) theory (P. C. Stern, Dietz, Abel, Guagnano, & Kalof, 1999), it is assumed that a consumers' value orientation (VO) affects their Ascribed Responsibility (AR). AR if moderated by Environmental Knowledge (EK), will be eventually expressed in environmental positive significance which is environmental citizenship behavior. In the Kenyan context, there is a limitation in research that look into the moderated relationship between AR and ECB. Moreover, activated knowledge (Priadi, Fatria, Sarkawi, & Oktaviani, 2018) has significance to stimulate environmentally significant behavior. Some scholars have drawn Schwartz' norm-activation theory of altruistic behavior for example Stern & Dietz, 1994  (Liere & Dunlap, 1981) directly apply to positive environmental behavior since these are inner morals and personally upheld norms . In the applications of Schwartz' theory, awareness of consequences catalyzes pro environmental behavior. This can be merely compared to environmental concern or positive attitude (Paul C Stern, 2000). In line with Berkman (2002) he distinguishes between awareness of ego oriented, social concern, and environmental consequences corresponding to three different underlying value orientations namely; biospheric, egoistic and altruistic. In order for the behavior to be performed, attention to or awareness of consequences must induce an Ascription to Responsibility (AR) to perform the behavior that in turn activates a personal norm or moral responsibility to perform the behavior. The mediating effect of Ascribed responsibility between value orientation and ECB has not been looked into in the Sub-Saharan context. Additionally, the moderator used in my study has not been explored. The moderating effect shows human duty in providing environmental knowledge drives environmentally significant behavior (Liobikiene & Poškus, 2019). Common among countries in Sub-Saharan Africa , Kenya continuously faces the challenges of climate change (Recha, 2019). The country depends on rainfall agriculture, modern technology adoption has not been prioritized, poverty reduction had not been achieved, and infrastructure is poor thus markets least developed (Bryan, Ringler, Okoba, Koo, et al., 2013)  (Odhiambo, 2009) .Climate models suggest that the Kenyan Average temperature is higher than most regions worldwide. However, uncertainty looms wide about future changes in rainfall in the region. While many universal models show minimal rise in average precipitation in East Africa (Bryan, Ringler, Okoba, Roncoli, et al., 2013) these may be offset by warming of the Indian ocean, more rainfall variations and more occurrences of extreme events such as droughts. (Eisenack et al., 2014) Regional variations in precipitation are more ; It is assumed and expected to get wetter in the Kenyan highlands and Northern Kenya which differs from the coastal region and lowlands which usually get drier (Bryan, Ringler, Okoba, Roncoli, et al., 2013) . Furthermore, key staples like maize and wheat may reduce despite there being more rain owing to increased evapotranspiration (Tidwell, 2010). This paper researches the relationship between agricultural productivity, GHG mitigation in Kenya based on farming practices being used by farmers. The main moderating factor introduced in this paper is Environmental knowledge.
Policymakers can be influenced by the results to implement policies that encourage better management practices which are effective as well as available in achieving different management practices for the various agroecological zones (AEZs) in Kenya and beyond. Smallholder farmers are vital in agricultural improvement (Tidwell, 2010& FAO, 2008). In targeting these farmers and strategies for adaptation on their farm management practices or Climate smart Agriculture, their local knowledge is key to up their adaptive capacity as seen in the literature for climate change, traditional ecological knowledge (Pretty et al., 2009) . Both local knowledge and local ecological knowledge refer to the a collection of knowledge, practices and beliefs, that are within a particular locality, only reached through a long-term observation of while being present in that environment, and transferred through oral traditions through generations (Ogalleh, Vogl, Eitzinger, & Hauser, 2012). Many smallholders often apply this local ecological knowledge in their daily practices. In assessing adaptive capacity, it is vital to look at these practices to improve local knowledge. This illustrates how to merge agricultural practices to up smallholders' adaptive capacity towards climatic variations within the seasons. This knowledge is specific to location, time and culture (Bank & Bank, 2019). Local knowledge is practical and farmers decide wisely and while more informed at certain times to environmental changes and how to make their yield better (Saitabau & Nairobi-kenya, 2014). The test of validity of local knowledge has been proven by science by comparing with quantitative data (Orlove & Caton, 2010). Many results illustrates that farmers' observations matches quantitative data analysis: local knowledge has been used to respond to extreme conditions which farmers have encountered such as droughts, famines, and other condition (Jiri, Mafongoya, Mubaya, & Mafongoya, 2016). There have also been cases where there has been a mismatch between local knowledge and quantified data hence casting doubt on local knowledge (Ochieng, Recha, & Bebe, 2017) Policy on adaptation policy has not been grounded yet. Despite all the noise on climate change policy agenda, only used during political campaigns, adaptation policy research is not adapted enough .Focus is on how to measure and scale-up to the "dependent variable problem" (Dupuis & Biesbroek, 2013). While the literature on adaptation has dealt with the "how" to understand adaptation concepts from different angles such as resilience, adaptive capacity and vulnerability (Lee, Yang, & Blok, 2020), questions loom on the practicality of readiness for future climate change. Research uptake thus still remains an emerging field that is not yet very well understood. Collaborations such as "boundary organizations" try to make scientists and policy-makers have exchange forums for exchange of information, policy learning and decisionmaking processes (Lee et al., 2020) The funding for climate modelling and the quality and quantity of climate data available is very variable on a global scale and in Kenya. Based  Stern (2000) later added the VO, belief and norm on environmentally significant behavior to create his VBN theory. This study purposes to adopt the said values from the VBN theory and enhance the same using Environmental knowledge to measure the impact of the Environmental knowledge of farmers on the uptake and use of scientific research methods on mitigation and adaptation. Some observers define the model predominantly as a "proenvironmental behavior. Andrew Dobson (2010), is of the view that the model argues the principle of fairness and the sharing of what the environment provides, by taking part in and in the co-creation of laws that sustain development where the scope of citizen taking part ranges from individuals personally taking part in environmental decision making process or by using influence to directly sort out environmental concerns and to work with others to reach solutions for environmental crises. In Agriculture, ECB guides to comprehend environmentally significant behavior( Farmers are businessmen who need to be efficient (Del Corso, Kephaliacos, & Plumecocq, 2015) They use all resources available to spread awareness of good environmental behavior. As such, pro-environmentalists preserve and improve the condition of their environment (Gailhard, Bavorová, & Pirscher, 2015) They also form group with subscription membership. Farmers have a tendency to pressure their elected leaders to protect their interests (Taylor & Van Grieken, 2015) In Kenya, they are seen to constantly pursue the government for subsidized fertilizer prices and irrigation initiatives. ECB is considered as a collective effort which may also include attending seminars(Paul C Stern, 2000). Schwartz (1992) says that values improve existent status or are acceptable. (P. C. Stern et al., 1999) adopted measures for value orientation in a socio psychological perspective from specific values in society to study good environmental behavior. Stern (2000) later added the Value Orientation to and belief and norm to create the VBN theory on environmentally significant behavior. BV Is the farmer's willingness to protect his environment or biosphere without harm (Turaga, Howarth, & Borsuk, 2010). It unites man and his natural resources (Steg, 2007) and non-pollution due to respect of the environment (Berkman, 2002). Emphasis is put on preservation of the environment (Steg, 2007) . Farmers should highly perform Biospheric values (Del Corso et al., 2015). The Altruistic Value is more inclined towards the farmer taking care of the environment so as not to harm the society and other people (Chen & Sun, 2015a) (Chua et al., 2019). Farmers who have a high altruistic value have environmentally significant behavior (Del Corso et al., 2015). EV are those for the personal benefit of an individual (Turaga et al., 2010) . the individual considers his needs before safeguarding his environment (Chen & Sun, 2015b) are the basis of EV. AR is believed to be human action impact on the environment. It could be positive or negative (Paul C Stern, 2000). The VBN gives an understanding of the relationship between VO and AR. The relationship between humans and their environment may have consequences depending on how humans treat their environment.
(  (Snelgar, 2006) In this case, farmers are aware that if they use certain agrochemicals, it will be harmful to their environment and as such will desist from using them H1. Biospheric value has a direct positive effect on Ascribed responsibility H2. Altruistic Value has a direct positive effect on Ascribed responsibility H3. Egoistic value has a direct negative effect on Ascribed responsibility H4. Ascribed responsibility has a direct positive effect on Environmental Citizenship Behavior Environmental knowledge may lead to pro-environmental behavior especially if there is monitoring of such knowledge. A few scholars have found that such knowledge has an insignificant effect on pro-environmental behavior . (Otto & Kaiser, 2014) However found this relationship to be significant. Their study found that people who know more about environmental problems and have vast knowledge on the environment act more pro-environmentally. This inconsistency is proof that there has to be studies on more than one school of thought on the impact of Environmental knowledge (Liobikiene & Poškus, 2019),

The effect of Action-related knowledge has a greater impact on pro-environmental compared to any other type of environmental knowledge. For example, merely knowing that climate smart agriculture has a better effect on the environment is not enough but knowing that the farmer will get better yields can influence policy decisions. This affects behavior directly (Liobikiene & Poškus, 2019). Goes without saying that people with higher knowledge behave more appropriately towards the environment as stated by Ting (Otto & Kaiser, 2014). (Zhao, Gao, Wu, Wang, & Zhu, 2014) observed that usage behavior can only be achieved if and when one is informed about green economy. The knowledge of environmental problems impacts pro-environmental behavior (López & Cuervo-arango, 2014). One can only take pro-environmental actions if they know what the can or cannot do. Thus, action related knowledge translates to behavior. Independent and Dependent variables can be perfectly described where there is a moderator. The current study proposes EK to moderate the relationship between AR and ECB. (Steg, 2007) that personal norms positive to the environment mediated the relationship between environmentally significant behavior and the ascription of responsibility. The authors did an experiment on the pricing policy for transport and its acceptance. The nexus between the ascription of responsibility, environmental knowledge (EK) and ECB is yet to be examined. The current study assumes that EK will moderate the effect of AR on ECB positively. For this reason, the hypothesis hereunder is proposed. From the foregoing, the figurative model below is proposed. Kenya's total area of 581,700 km2consists ranges in natural ecosystems. There are the following areas; arid, semi-arid, savannah and forests. There is rapid and unending expansion of urban areas despite urbanization and of rural areas. Areas covered by water and the ocean environment which hosts marine and coastal ecosystems, fresh water lakes and rivers. Some of these rivers are periodic and may dry at different periods during climate variability. Some of the lakes are saline in nature while some are of fresh water. The aquatic environment includes 14,300 and 143,100 km2 of territorial waters and exclusive economic zone (EEZ), respectively, in the Indian Ocean (Services, Health, & Macro, 2010) . Table 1 shows the different Agro ecological zones of the country. Kenya's economy is dependent on the environment. All the key sectors, rely on the environment. To achieve a sustainable economy and development, different sectors of development must take action. Agriculture has for a long time been the main contribution to the economy marking up for 25 percent of the gross domestic product (GDP) (Kabubo-Mariara & Karanja, 2007) . A scholar or researcher may use mediation analysis to realize the effect of X on Y (Hayes & Rockwood, 2017). The authors here use the example of the therapy and trauma. They explain that the initial cause X could be the kind of the therapy the patient receives or the kind of therapy or any other conceived actor that has some kind of cause which consequently has results. Whilst mediation analysis focuses the cause and its consequences, moderation analysis deals with, time and conditions, or for the kind of individuals that effect exists or does not and to what extent. (Hayes & Rockwood, 2017). In this paper, the authors used the example of traditional therapy in comparison to a modern therapy which effects might be less effective to treating depression. The effect of the moderation might be small or even harmful. In this paper Environmental knowledge will be the moderator on ascribed responsibility

In the collection of data, the research identified and assesses current and potential household-level Adaptation and Mitigation strategies available to farmers from 4 different Agro ecological zones (AEZs) was collected, cash crops, other crops, institutional backgrounds and policy were all considered. World Bank supported projects in the selected zones where agricultural mitigation and adaptation were practiced. They range from arid, semi-arid, temperate, and humid areas. The use of self-administered questionnaires was employed by distributing 350 questionnaires to those farmers who had basic knowledge on Climate smart agriculture. Around 300 were completed usably and handed back directly by the farmers after completion. The hypothetic-deductive approach was followed in this study, wherein hypotheses were tested. Each variable correlation is tested without much engagement of the researcher. Positive Environmental behavior was observed as it usually and normally occurs. The farmer being the unit of analysis. The data were collected in the year 2019 which has 2 main planting seasons however some plants especially vegetables have no particular season thus some grow throughout the year. The objective of this study being to confirm existing theory (Value Belief Norm) by developing new variables in this case, moderating Ascribed responsibility using Environmental knowledge; nonprobability sampling technique, was applied (Boon et al., 2019). The thumb rule was used to reach the appropriate sample size (Cracraft, 1988).
A five-point Likert scale ranging from strongly disagree (never behave: 1) to strongly agree (always behave:  4 indicates mediation of exogenous variables of (EV, AV and BV) to AR with indirect effect on ECB significant of (β = .0592, t = -2.1265, p < = .0342), (β = .0552, t = 4.0012, p < = .001), and (β = .0670, t = 4.8523, p < = .000) respectively. The regression model shows all exogenous variables significance predictor of AR except EV. In the same vein, the indirect effect of (EV, AV, BV) significantly predicts the ECB shows table 4 EV (β = .0409, t = -2.1252, p < = .0343), AR (β = .0380, t = 6. 7050, p < = .000), AV (β = .0388, t = 5.0553, p < = .000), BV (β = ..0476, t = 6.2438, p < = .000). The effect size is -.0361 with 95% confidence level thus less than zero in negative interval z = -.002 (Preacher & Hayes, 2008) . Therefore, the H4 of the indirect effects of all the exogenous constructs significantly satisfied the model constructs in this study. Table 5 shows very good significance relationship among constructs, though, on negative weak relationship but significant. Therefore, all the constructs have showed good effects from H1, H2, and H3 . (Chua et al., 2019) The hypotheses in the study all supported, while the mediation and moderation also justified from table 4 and 3 above. From table 6 items loading from each construct indicated above or within the benchmark of 0.7. These loading are indication of good measurement effects of the exogenous variables and the endogenous constructs based on the conceptual model of the study. The variance explanatory power of ECB is R² = 0.650 represents 66% of the dependent variable strength. Also, the mediator R²= 0.363 thus 36% of the variance of all the exogenous directly to the mediator. Correlation is significant at the * = P≤0.05, ** = P≤0.01, Note: @ = Cronbach's Alpha, SD = standard deviation, EGV = egoistic values, ALV = altruistic values, BPV = biospheric values, AR = ascribe responsibilities, ECB = environmental citizenship behavior, EKW = environmental knowledge. 2000) , Thus, a farmer with strong BV and AV is expected to accept AR and speedily welcome initiatives. The farmers consider their environment while using fertilizer, they are concerned about the wellbeing of their fellow citizens and they focus on their harvest. When the farmers are egoistic though, they don't seem to care much about the impacts of their action. These value orientations affect Ascribed responsibility, and show how much they can do for environmental protection. Data obtained confirms the connection between AR and the ECB as is the case in the VBN theory. Individuals aware of what their actions might cause and capable of exercising caution refrain from harmful actions to the environment. The current research context, Kenyan farmers are more knowledgeable and employ the use of using Climate Smart methods in farming and consequently intimated the will to carry out their responsibility to take care of the environment. Therefore, Responsibility is confirmed. On Environmental knowledge, the current study revealed that EK enhances a farmer's responsibility to be more aware and as such have the final effect in decision making. The results are true to the VBN theory, which assumes a nexus between variables and action taken, i.e. values, responsibility, norm and positive environmental behavior (Paul C Stern, 2000)Farmers who are aware of action related consequences and know their commitment to the environment, have their sense of moral obligation activated, and eventually influences their Environmental Citizenship Behavior. as; While farmers use the environment, the onus lies in them protecting it (e.g. "I only use environmentally friendly fertilizer", "I long for a war free world" and "I would like to have better harvest next time for more monetary returns). To

*p < = .01, **p < = .001, ***p < = .005. .