scholarly journals The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana

2021 ◽  
Vol 13 (3) ◽  
pp. 1059
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Bismark Addai ◽  
Zhao Ding ◽  
Abbas Ali Chandio ◽  
...  

The emergence of agricultural cooperatives is extensively viewed as a necessary institutional arrangement that can help farmers in developing countries overcome the constraints that impede them from improving sustainable agricultural production and acquiring new marketing opportunities. Therefore, this study examines the determinants of cooperative membership and its impact on fish farm household income, using data collected from two regions in Ghana. An endogenous switching regression (ESR) model is utilized to address the potential sample selection bias issue. The results show that household heads’ decisions to join cooperatives are affected by their access to credit, off-farm work, education level, and peer influence. Cooperative membership can increase both household and farm income by 28.54% and 34.75%, respectively. Moreover, we show that different groups of households’ cooperative impacts on farm and household income are heterogeneous. Our findings highlight the importance of cooperative patronization and provide implications that can improve households’ welfare.

2020 ◽  
Vol 12 (8) ◽  
pp. 3255 ◽  
Author(s):  
Anthony Siaw ◽  
Yuansheng Jiang ◽  
Martinson Ankrah Twumasi ◽  
Wonder Agbenyo

This study analyzed the effects of internet use on farm income and household income using survey data from 478 rural farmers from two regions in Ghana. An endogenous switching regression (ESR) model and probit models were employed to achieve the aims of the study. The results revealed that internet use was influenced by off-farm employment, education, access to credit, non-fixed asset (NFA), age, and perception variables. We found that internet use increased farm income and household income by 20.1% and 15.47%, respectively. Regarding heterogeneous impacts, the estimates showed that internet use reduced farm income by 18.12% for farm households that participated in off-farm activities but increased farm income by 14.66% for households that had access to NFA. The estimates also indicated that internet use increased household income by 31.77% for farm households that engaged in off-farm employment and by 15.33% for those that had access to NFA. Furthermore, internet use increased the household income for households that did not engage in off-farm activities by 24.85%. The findings of this study will contribute significantly to the existing literature on information communication technology (ICT) in developing countries by providing a new reference for improving rural development and solving the problem of poverty.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.


Land ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 267
Author(s):  
Regina Neudert ◽  
Naiba Allahverdiyeva ◽  
Niyaz Mammadov ◽  
Alexandre Didebulidze ◽  
Volker Beckmann

Diversified livelihoods combining farming, livestock keeping and non-farm income are characteristic of many rural households worldwide. For the Central Asian and Caucasian region, livestock keeping is especially important in terms of land use and socio-cultural heritage. We contribute to the literature with data from the under-researched Caucasus region and investigate: (i) the extent of diversification in smallholder households; (ii) the role of livestock keeping in diversification; (iii) the influence of household-specific and location-specific variables and diversification on household income. Based on a dataset of 303 households, we calculate contribution margins for the main agricultural activities, household income, and diversification indices and analyze the influence of diversification, asset and location variables on household income with a regression model. Household income is generally diversified and a combination of four income sources (crops, livestock, poultry/bees and social benefits) was the most frequent. The econometric analysis shows that higher household incomes are positively correlated with higher household land and livestock assets, the presence of non-farm work and social benefit income sources and with an increasing specialization as measured by the diversification index. For enhancing rural household incomes and slowing down rural-urban migration, the development of non-farm job opportunities is recommended.


2016 ◽  
Vol 8 (4) ◽  
pp. 553-571 ◽  
Author(s):  
Aditya R. Khanal ◽  
Ashok K. Mishra

Purpose The purpose of this paper is to investigate the impact of internet usage on financial performance of small farm business households in the USA. In particular, the authors want to assess the impact of internet usage on small farm businesses, where the owner’s main occupation is farming. Using a nationwide farm-level data in the USA and a non-parametric matching estimator, the study finds a significant positive impact of internet usage on gross cash income, total household income, off-farm income. The study further suggests that small farm businesses receive benefits from internet usage as it facilitates reduction in income risk through off-farm income sources, as well as a reduction in marketing and storage costs; households’ non-farm transportation and vehicle leasing expenses. Design/methodology/approach In this study, the authors use the “nearest neighbors” matching method in treatment evaluation, developed by Abadie and Imbens (2002). In this method, a weighting index is applied to all observations and “nearest neighbors” are identified (Abadie et al., 2004). Although matching estimation through the nearest neighbor method does not require probit or logit model estimation per se, the authors have estimated a probit model because it allows the authors to check the balancing property and to analyze the association of included variables with the likelihood of internet use. Findings The study suggests that small farm business households using the internet are better off in terms of total household income and off-farm income. As compared to the control group (which is counterfactual, representation of small farm businesses not using the internet), small farm businesses using the internet earn about $24,000-$26,000 more in total household income and about $27,000-$28,000 more in off-farm income. Also, small farm businesses using the internet earn about $4,100-$4,900 more in gross cash farm income compared to their counterpart. The estimate of ATT for NFI is not different from zero. However, gross cash farm revenue increased significantly. Practical implications To this end internet can provide an important role in information gathering. Internet is one of the convenient means to access and exchange information. Information and communication facilitation through internet have opened up new areas of commerce, social networking, information gathering, and recreational activities beyond a geographical bound. Producers and consumers can take advantages of internet in both collaborative and competitive aspects in economic activities as it can reduce the information asymmetries among economic agents. Social implications Farmers will seek assistance in interpreting data and applying information to their farming operations, via the internet. Therefore, it is essential that land grant universities continue to improve the delivery of electronic extension and provide information in a clear and concise manner. Originality/value Studies in farm households have mainly investigated factors influencing internet adoption, purchasing patterns through internet, internet use, and applications. In most cases, impact analyses of communication and information technologies such as internet in agricultural businesses are discussed with references to large scale farm businesses. Thus, the authors know very little about access to the internet when it comes to small farm businesses and small farm households and about how it impacts well-being of small farm households.


2020 ◽  
Vol 13 (1) ◽  
pp. 44
Author(s):  
Florence Opondo ◽  
George Owuor ◽  
Patience Mshenga ◽  
Andre Louw ◽  
Daniel Jordan

The transformation of agricultural production from subsistence to commercially oriented outcomes is a topical matter in the rural and socio-economic development discourse. Cassava crop is being promoted for commercialization because of its tolerance to harsh climatic conditions experienced in arid and semi-arid areas. Furthermore, there is high potential for the tuber crop to improve household income. In Kenya, a number of interventions have been directed towards commercializing cassava. The effect of commercialization on household income has not been established. Distinct from other studies, this study estimated the effect of cassava commercialization on three different income measures namely per capita, annual and per acre revenue. A household survey was conducted in Kilifi County in Kenya where 200 respondents were randomly selected. Data was collected using a structured questionnaire. A two-stage endogenous switching regression model was fitted to determine the effect of commercialization on the different income measures. The proportion of households that commercialized was 69% while the remaining 31% did not. The study found that majority of the households marketed low value-added cassava products. The results reveal that farmers who engaged in cassava commercialization enjoyed relatively more income than their counterparts. Off-farm income, age of the household head and distance to market had a negative significant influence in all the income estimates. Group membership was only significant for the per acre income while household size was negative and statistically significant in both per acre and per capita incomes. Findings point out the importance of promoting policies that will enhance cassava commercialization.


Author(s):  
M. K. Ibrahim ◽  
M. Haruna ◽  
U. M. Shaibu

The study analysed household participation in urban agriculture in Kogi State, Nigeria. It specifically; described the socioeconomic characteristics of the respondents; determined the factors that influence household participation in urban agriculture; and determined the effect of urban agriculture on household income. Simple random sampling technique was used to select 60 respondents each from four purposively selected peri-urban/urban centres in Kogi State: Lokoja (Zone A), Anyigba (Zone B), Okene (Zone C), and Idah (Zone D). Primary data obtained through questionnaire administration were analysed using descriptive and inferential statistical tools. Findings from the study revealed that 61.7% of the respondents were males and a mean age of 43 years was recorded. Married (90%) household heads dominated the respondents with a mean household size of 7 members. Education (β = -0.862), dependent (β = 1.904), marital status (β = 2.544), access to sufficient food (β = -2.495), employment status (β = 1.307) and access to land (β = 0.505) statistically influenced household participation in urban agriculture, while the OLS output indicated that urban farm income (β = 17.539) and non-farm income (β = 848.798) had significant effect on total household income. The study concluded that urban agriculture has the potential of improving the livelihood of urban dwellers. The study therefore recommends the integration of urban agriculture into urban development plan; easy access to land and other production inputs.


2021 ◽  
Vol 13 (5) ◽  
pp. 91
Author(s):  
T. Shabangu ◽  
M. S. C. Ngidi ◽  
T. O. Ojo ◽  
S. C. Babu

Providing appropriate post-settlement support to farmers is crucial for sustainable development of smallholder agriculture in South Africa. In unravelling this, the South Africa’s Recapitalization and Development Programme (RADP) was initiated. Hence, this study analysed the impact of RADP on performance of land reform beneficiary farmers in KwaZulu-Natal, South Africa. A multistage sampling procedure was used to select (n = 264) respondents for the study. Accounting for endogeneity issues in RADP assessments and its impact on the performance of land reform farmers, an endogenous switching regression model (ESRM) was employed. In the same vein, a doubly-robust inverse probability weighted regression adjustment was used as credible remedy for potentially biased estimates of ATT and POM of endogenous treatment model. The main findings revealed that tax compliance, secondary organization, legal entity, farm potential income at acquisition, farmers receiving third party assistance and strategic partnership were statistically significant in influencing the participation of farmers in RADP. Mentorship remains an extremely challenging element in post-settlement. However, through the strategic partnership of RADP farmers had likelihood to improve the farm and increase farm income. The results of the suggest that the RADP can contribute to a deep process of change and empowerment of farmers. In the same vein, strategic partnership of RADP is likely to improve the farmers’ performance. Therefore, there is a need to strongly improve mentorship and strategic partnership programme to encourage participation of land reform farmers in the support programmes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongyun Zheng ◽  
Wanglin Ma ◽  
Yanzhi Guo ◽  
Xiaoshi Zhou

PurposeThe purpose of this study is to investigate the interactive relationship between non-farm employment and mechanization service expenditure.Design/methodology/approachThe study employs an innovative two-stage probit least squares (2SPLS) model to analyze the survey data collected from 1,148 rural households in China. This model not only simultaneously estimates the impact of non-farm employment on mechanization service expenditure and the impact of mechanization service expenditure on non-farm employment, but also addresses endogeneity issues associated with these two activities.FindingsThe empirical results show that non-farm employment and mechanization service expenditure are jointly determined. In particular, the study finds that non-farm employment significantly increases mechanization service expenditure, and vice versa. The results are confirmed by an estimation that captures a dichotomous decision of mechanization service usage. The interactive effects of non-farm employment on mechanization service expenditure are heterogeneous between male and female household heads and among households with different member sizes. Further analyses reveal that (1) mechanization service expenditure increases with increasing non-farm working time; (2) local non-farm employment, rather than provincial non-farm employment, has a larger impact on mechanization service expenditure; and (3) the number of household members employed in non-farm works does not affect mechanization service expenditure significantly.Originality/valueAlthough mechanization service markets are rapidly growing in many developing and transition countries, little is known about how service purchasing interacts with farmers' decisions to work in the non-farm sector. This study makes the first attempt by investigating the interactive effects of non-farm employment on mechanization service expenditure in rural China. The findings provide significant evidence for policymakers in China and other countries in their efforts to generate non-farm work opportunities and promote agricultural mechanization, with the aim of boosting rural development and improving farm economic performance.


2019 ◽  
Vol 12 (1) ◽  
pp. 71-89 ◽  
Author(s):  
Li Li ◽  
Atsushi Tsunekawa ◽  
Ian MacLachlan ◽  
Guicai Li ◽  
Atsushi Koike ◽  
...  

Purpose The purpose of this paper is to examine the factors (including conservation payments) that influence household decisions to participate in off-farm work and estimate the impact of participation on household welfare under the auspices of the Grain for Green (GfG) program. Design/methodology/approach The authors used survey data from 225 farm households on the Loess Plateau and addressed the possible sample selection and endogeneity problems by employing a jointly estimated endogenous switching regression (ESR) model. Findings The findings of this paper are as follows: off-farm participation is positively related to households’ educational attainment and negatively related to their land resource endowment and the presence of children; participation in off-farm work exerts positive effects on household income and per capita household income, but negative effects on farm productivity; and conservation payments show no significant impact on off-farm participation, no significant impact on any of the three household welfare indicators for off-farm non-participant households, but a significantly negative impact for off-farm participant households. Originality/value This paper makes two contributions. First, the authors address the selection bias and endogeneity problem of GfG participating households by employing the ESR method and explicitly estimating the treatment effects of off-farm participation on their household welfare. Neglecting these problems leads to biased estimates and misleading policy implications. Second, this analysis stresses the important role of government in reducing market or institutional failure and other barriers that impede farmers’ efficient allocation choices instead of compensating households for conserving sloping land, shedding new light on the most effective policy options to achieve the program’s goals.


2015 ◽  
Vol 32 (2) ◽  
pp. 65-94 ◽  
Author(s):  
Dil Bahadur Rahut ◽  
Pradyot Ranjan Jena ◽  
Akhter Ali ◽  
Bhagirath Behera ◽  
Nar Bahadur Chhetri

Using the 2012 Bhutan Living Standard Survey, this paper finds that rural nonfarm activities comprise 60.7% of rural household income in Bhutan and this contribution increases with higher income and education levels. The poor and less educated participate less in the nonfarm sector. When they do, they are self-employed in petty nonfarm activities, which require little investment and little or no skills. Accounting for endogeneity and sample selection issues, we estimate the determinants of participation in nonfarm activities and nonfarm incomes. We find that a household's education and labor supply play an important role in accessing more remunerative nonfarm employment. Interestingly, we find that women play an important role in self-employment in nonfarm activities. Decomposition shows that nonfarm income has a disequalizing effect and farm income has an equalizing effect, indicating the need to increase the endowment of poor households to enable them to access the lucrative rural nonfarm sector. Further decomposition reveals that self-employment in petty nonfarm activities reduces inequality.


Sign in / Sign up

Export Citation Format

Share Document