Determinants and impact of adopting climate-smart brachiaria grass among dairy farmers in Kenya

Evolving changes such as population growth, urbanisation and a growing middle-income class in Africa are redefining the agro-food systems. Population growth is expected to double the demand for milk and meat products in Africa by 2050. This raises concerns on the capability of African countries to meet the projected demand. It is imperative that farmers seize the opportunities for earning higher and stable income by responding to the new trends and overcoming the constraints tightened by climate change. Access to quality fodder has continued to be the single most important challenge in livestock production systems. The objective of this article is to evaluate the impact of climate-smart Brachiaria on feed sufficiency and milk productivity in dairy production in Kenya. A random sample of 237 farmers, 111 adopters and 126 non-adopters of Brachiaria was selected in Makueni and Siaya using multi-stage sampling. Data was collected through face to face interviews and Propensity score-matching approach was then employed to evaluate the impact of Brachiaria grass on feed sufficiency and milk productivity. In this study, non-adopters of Brachiaria were farmers who were using Napier grass as their source of fodder. The findings reveal that adoption of Brachiaria increases milk production by about 27.6%. This translates to an average increase of about 3 litres daily per animal. Adoption of Brachiaria consequently increases feed sufficiency measured by time spent in feed related activities by the primary woman in a household by 31.6%. Adopters of Brachiaria spend 2 hours less in sourcing and preparing feed in dry seasons. The surplus milk implies more income for the household, improved nutrition from milk consumption and improved wealth status of household. Results on feed sufficiency imply that Brachiaria offers an alternative sustainable source of fodder in fodder scarce periods and releases the burden on women in feed related activities. There is also an improvement in the welfare of families. The study concludes that policies and efforts aimed at increasing widespread adoption should address factors that influence adoption. We recommend increasing extension and training on climate-smart fodder and strengthening collective institutions such as farmer groups for sustainable livestock production

Socio-Economic and Institutional Constraints to Accessing Credit among Smallholder Farmers in Nyandarua District, Kenya

Amongst the challenges faced by smallholder farmers in production is inaccessibility to credit. This study sought to identify household socio-economic and institutional constraints influencing access to credit among smallholder farmers in Nyandarua District. The study used a Logit model. Both quantitative and qualitative data were acquired from primary and secondary sources. Primary data was collected using questionnaires through a survey design. A sample of 164 smallholder farmers was selected using stratified, multi-stage random sampling techniques. Data was analyzed using descriptive statistics and maximum likelihood method using Statistical Package for Social Sciences (SPSS). The study established that socio-economic constraints such as age, gender, household size, farm income, collateral and awareness are critical determinants of access to credit. The study also established that institutional requirements such as costs involved in operating / maintaining bank accounts, loan requirements and transaction costs involved in the credit process influenced access to credit. The study concludes that household socio-economic characteristics and institutional requirements influence access to credit. Key recommendations made include the need by government to deal with bureaucracies involved in land registration to benefit majority of smallholder farmers who remain insecure in the land they use without proof of ownership and also to make easier the registration of lease certificates for those who do not own land and use land on leasehold tenure system. Financial institutions should also put in place less stringent credit requirements and reduce credit costs especially interest rates to make credit more affordable. Keywords: socio-economic and institutional constraints, credit access, smallholder farmers, logit model

Assessment of Farmers’ Adaptation to the Effects of Climate Change in Kenya: the Case of Kyuso District

The study was carried out to assess how farmers in Kyuso District have adapted to the effects of climate change. Survey data was collected from 246 farmers from six locations that were sampled out through a multistage and simple random sampling procedure. The probit regression model was fitted into the data in order to assess factors influencing farmers’ adaptation to the effects of climate change. The analysis revealed that 85% of the farmers had adapted in various ways to the effects of climate change. In this regard, the age of the farmer, gender, education, farming experience, farm income, access to climate information, household size, local agro-ecology, distance to input/output market, access to credit, access to water for irrigation, precipitation and temperature were found to have significant influence on the probability of farmers to adapt to climate change. The study suggests that more policy efforts should thus be geared towards helping all the farmers in the district to adapt to climate change. Key words: climate change, adaptation, probit regression model, Kyuso District

A demand analysis for Sahiwal breeding animals from the national sahiwal stud (NSS) between 1971 and 2007

The main objective of this working paper is to trace the development of demand for Sahiwal breeding stock over the period 1971-2007. Such an analysis will enhance our understanding of what has happened on the demand side within the study period. There is only a handful of Sahiwal breeding farms existing in the country, which implies that a particular market structure exists. This paper thus traces the likely evolution of demand and provides some insights on what has happened over the period since 1971. The year 1971 was upon decided as a starting point for the simple pragmatic reason that data for earlier years may not be available. Demand indicators assembled from the records at KARI-Naivasha are used to establish the trends of demand in order to predict the likely trajectory of demand in the near future. Time series analysis of data shows the probability of demand for bulls to have been on a downward trend while for heifers, it has been increasing over time. Also critical in this result is that the probability for heifer crosses is soon catching up with demand for heifers and bulls and given these trends, this may be the animal in greatest demand. Results for average request sizes are mixed with an increase in the size of requests for bulls and heifer crosses until 1990s and a drop in the size of requests since. Some parts of the country also appear to have dropped off, notably Coast Province while others (North Eastern) are rare demand centres. A second part of the analysis, which involves the estimation of models that explain these trends, provides a framework within which the role of important demand shifting parameters such as prices, production systems and distances is determined in greater detai

Analysis of Farmers’ Perceptions of the Effects of Climate Change in Kenya: the Case of Kyuso District

A cross-sectional analysis was carried out to evaluate how farmers in Kyuso District have perceived climate change. Data was collected from 246 farmers from six locations sampled out through a multistage and simple random sampling procedure. The logistic regression analysis was carried out to assess factors influencing farmers’ perceptions of climate change. The analysis revealed that 94% of farmers in Kyuso District had a perception that climate was changing.  In this regard, age of the household head, gender, education, farming experience, household size, distance to the nearest input/output market, access to irrigation water, local agro-ecology, access to information on climate change, access to extension services, off farm income and change in temperature and precipitation were found to have significant influence on the probability of farmers to perceive climate change. Since the level of perception to climate change revealed by the study was found to be high (94%), the study suggests that more policy efforts should thus be geared towards helping farmers to adapt to climate change. Key words: Climate change, Perceptions, Logistic regression, Kyuso District

A demand analysis for Sahiwal breeding animals from the national sahiwal stud (NSS) between 1971 and 2007

The main objective of this working paper is to trace the development of demand for Sahiwal breeding stock over the period 1971-2007. Such an analysis will enhance our understanding of what has happened on the demand side within the study period. There is only a handful of Sahiwal breeding farms existing in the country, which implies that a particular market structure exists. This paper thus traces the likely evolution of demand and provides some insights on what has happened over the period since 1971. The year 1971 was upon decided as a starting point for the simple pragmatic reason that data for earlier years may not be available. Demand indicators assembled from the records at KARI-Naivasha are used to establish the trends of demand in order to predict the likely trajectory of demand in the near future. Time series analysis of data shows the probability of demand for bulls to have been on a downward trend while for heifers, it has been increasing over time. Also critical in this result is that the probability for heifer crosses is soon catching up with demand for heifers and bulls and given these trends, this may be the animal in greatest demand. Results for average request sizes are mixed with an increase in the size of requests for bulls and heifer crosses until 1990s and a drop in the size of requests since. Some parts of the country also appear to have dropped off, notably Coast Province while others (North Eastern) are rare demand centres. A second part of the analysis, which involves the estimation of models that explain these trends, provides a framework within which the role of important demand shifting parameters such as prices, production systems and distances is determined in greater detai

Is Agricultural Extension a Determinant of Farm Diversification - Evidence from Kenya

Farm diversification is a common coping strategy among smallholder farmers, especially in the developing countries. As a result, understanding the determinants of farm diversity is paramount. Access to extension has been found to be an important determinant of farm diversity through the technology adoption pathway. Despite farmers access to several extension services, no evidence exists on the effect of different extension services on farm diversity. This study evaluates the effect of extension services on farm diversity in Kenya. It uses a truncated Poisson model on a sample of 743 households who were selected using a multi stage sampling technique. The findings show that there are significant differences between the least and the most diversified farms. Furthermore, access to government, private and NGO extension services, alongside farmer demographic characteristics, increases farm diversity. This study therefore recommends for hiring, training and facilitating extension officers. In addition, the different extension services should be used as compliments and targeted to where their impact is highest. Acknowledgement : This research was financially supported by the German Federal Ministry of Food and Agriculture (BMEL) based on the decision of the Parliament of the Federal Republic of Germany (grant number 2813FSNu01)

An assessment of the factors influencing household willingness to pay for non-marketed benefit of cattle in the agro-pastoral systems of Mozambique

This study used Probit model to analyze factors influencing probability of household willingness to pay for non-marketed benefits (NBS) of cattle in Mozambique. The primary data from 184 agro-pastoralist households were collected using a structured questionnaire. Data collected comprised information relating to household demographic, household livelihoods and non-marketed benefits of cattle. The result showed that the probability of household willingness to pay (WTP) was influenced by both animal and household related characteristics. Animal related characteristics that had a significant influence on the probability of households WTP for NMB’s of cattle included: Animal age (ANAGE), herd size (HERDSIZE) and cattle breeds (INDBRED). Household related characteristics that had significant (p<0.05) influence on probability of household WTP for NMB’s of cattle, comprised: Dependant ratio (DEPRAT), household size (HHS), off-farm income (OFFINC) and distance to the market (DISTMK). As expected, however, the OFFINC had a negative influence on probability of household WTP for NMB’s of cattle. The study concluded that non-marketed benefits of cattle were highly valued among agro-pastoralist in Mabalane district and thus were willing to pay for them

Analysis of Farmers’ Perceptions of the Effects of Climate Change in Kenya: The Case of Kyuso District

A cross-sectional analysis was carried out to evaluate how farmers in Kyuso District have perceived climate change. Data was collected from 246 farmers from six locations sampled out through a multistage and simple random sampling procedure. The logistic regression analysis was carried out to assess factors influencing farmers’ perceptions of climate change. The analysis revealed that 94% of farmers in Kyuso District had a perception that climate was changing. In this regard, age of the household head, gender, education, farming experience, household size, distance to the nearest input/output market, access to irrigation water, local agro-ecology, access to information on climate change, access to extension services, off farm income and change in temperature and precipitation were found to have significant influence on the probability of farmers to perceive climate change. Since the level of perception to climate change revealed by the study was found to be high (94%), the study suggests that more policy efforts should thus be geared towards helping farmers to adapt to climate change