Factors affecting the choice of cropping systems in Kebbi State, Nigeria.

Jirgi, A.J.; Viljoen, M. F.

doi:10.4314/njtr.v10i1.1

Cited by 2 publications

(4 citation statements)

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“…Following Sadiq et al (2018), the risk aversion parameter Ls was used to classify farmers into three distinct categories as expressed below; 0<L𝑠<0.4 = Risk preference 0.4<L𝑠<1.2 = Risk neutral 1.2<L𝑠<2.0 = Risk aversion Factor analysis was used to determine the risk management strategies for the cereal/legume based farmers. It conceived that standard parametric statistical measures are suitable for ordinal variables in the form of Likert-type scale (1 not important, 2 less important, and 3 very important) (Jirgi, 2013). It reduces attribute space from a larger number of variables to a smaller number of factors which makes a "non-dependent" procedure (that is, it does not assume that a dependent variable is specified).…”

Section: Specification Of Safety-first Behavioural Approach Modelmentioning

confidence: 99%

“…It reduces attribute space from a larger number of variables to a smaller number of factors which makes a "non-dependent" procedure (that is, it does not assume that a dependent variable is specified). The data was screened to check for outliers that might attenuate the result following Jirgi (2013).…”

Section: Specification Of Safety-first Behavioural Approach Modelmentioning

confidence: 99%

“…While farm management, disease prevention, and selection of high quality inputs such as good quality water source, wellfortified feed and fingerlings with proven qualities) were the most important risk management strategies perceived by the farmers'. Jirgi (2013) carried out a research on the risk attitude of mono croppers and intercroppers in Kebbi State Nigeria using experimental gambling approach, factor analysis and found out that farmers' practicing intercropping system were more statically significant risk averse compared to monocroppers. The results suggested that those into intercropping system adopted diversification to safe guard against crop failure.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Risk Attitude of Cereal/Legume Farmers in Nasarawa State, Nigeria

ABUBAKAR¹,

MOHAMMED²,

TANKO³

et al. 2023

FUDMAJAAT

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This study describes the socio-economic characteristics of the cereal/legume farmers in Nasarawa State, Nigeria, identify risk associated with cereal/legume enterprises; determine the risk attitude of the farmers and identify the management strategies employed in minimizing risk associated with cereal/legume enterprise in the study area. Multistage sampling technique was used for the selection of two Local Government Areas (LGAs) from each of the three agricultural zones I, II, and III, respectively. Farming communities was randomly selected from each of the sampled LGAs from which respondents were proportionately selected to make a total of 105 respondents for this study. Primary data was collected with the aid of structured questionnaire and interview schedule. The data collected was analysed using descriptive statistics, Safety-first and factor analysis. The result showed that the mean age of the farmers was 40 years, 78.1% of respondents were male and a82.9% of them were married. The result from safety first approach revealed that 27.6% and 61.0% of the farmers were risk averse and risk neutral respectively. Production, Financial and human (theft, bush burning) risks form 31.4%, 34.3% and 8.6% of all risks associated with cereal/legume enterprises respectively. Factor analysis result indicated that Spreading sales, family member working off-farm and early planting of crops were employed for managing the risks. It is recommended that Government in conjunction with the donor agencies should make provision for interest free credit facilities at the appropriate time to enable them take as much risk as possible to increase their Cereal/Legume production.

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Section: Specification Of Safety-first Behavioural Approach Modelmentioning

confidence: 99%

Section: Specification Of Safety-first Behavioural Approach Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Risk Attitude of Cereal/Legume Farmers in Nasarawa State, Nigeria

ABUBAKAR¹,

MOHAMMED²,

TANKO³

et al. 2023

FUDMAJAAT

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“…However, most of the studies on allocative e ciency focus on socioeconomic variables and overlook risk attitude, to the extent that, information on risk attitude as a determinant of farm e ciency is lacking in the study area. Jirgi (2013) argue that the fact that risk attitude is associated with the decision-making behavior of an individual means that it should be incorporated in the determination of factors that in uence e ciency. According to Binswanger (1982), such information is important in order to generate reliable knowledge on the effect of risk attitudes on the farmers' decision-making behavior and on the determinants of e ciency.…”

Section: Introductionmentioning

confidence: 99%

Estimating risk attitude impact on allocative efficiency under different plantain-based cropping systems: A latent factor model with instrumental variables

ABIOLA,

ADEGBOLA,

ZANDJANAKOU-TACHIN

et al. 2024

Preprint

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Plantain production is subject to risk, emerging from diverse sources. Consequently, risk modifies farmers behavior, affecting their decision making and thereby their future results. These choices are not only related to investments, crop to produce, and technology use but also to resource allocation. The objective of this study is to analyze the impact of farmers’ risk attitude on allocative efficiency in plantain production. Primary data from 584 farmers, operating on 707 plots, selected through a four-level stratified random sampling was used. The study used the Latent factor models with instrumental variables to account for endogeneity and selection bias. We apply the causal inference methods to assess the impact of risk attitude on allocative efficiency. The result highlights a negative impact of risk attitude on the allocative efficiency. Compared to non-averse farmers, risk-averse farmers are less efficient. Also, as the level of risk aversion increases, the negative impact of risk aversion is more pronounced (-49.1% for extreme risk aversion). Furthermore, stronger impact of risk attitude regardless the level of risk aversion is found for the type 3 which stands for the intensive cropping system. The study provides empirical evidence of the extent of the impact of risk attitude on the allocative efficiency and confirms the heterogeneity of impact assumption. It also provides a useful insight into the key role risk attitude plays in productivity and efficiency in agriculture. These findings have critical policy implications and can help policymakers and practitioners make informed decisions and devise interventions to improve farmers allocative efficiency.

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Factors affecting the choice of cropping systems in Kebbi State, Nigeria.

Cited by 2 publications

References 0 publications

Analysis of Risk Attitude of Cereal/Legume Farmers in Nasarawa State, Nigeria

Analysis of Risk Attitude of Cereal/Legume Farmers in Nasarawa State, Nigeria

Estimating risk attitude impact on allocative efficiency under different plantain-based cropping systems: A latent factor model with instrumental variables

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