scholarly journals The impact of job contact networks on wages of rural–urban migrants in China: a switching regression approach

2017 ◽  
Vol 15 (1) ◽  
pp. 81-101 ◽  
Author(s):  
Wenjin Long ◽  
Simon Appleton ◽  
Lina Song
Keyword(s):  
Switching Regression ◽  
Contact Networks ◽  
Urban Migrants ◽  
Regression Approach ◽  
The Impact

Does the Contract Type Matter? Impact of Marketing and Production Contracts on Cashew Farmers’ Farm Performance in Ghana

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Caroline Dubbert ◽  
Awudu Abdulai
Keyword(s):  
Driving Forces ◽  
Smallholder Farmers ◽  
Spot Markets ◽  
Switching Regression ◽  
Farm Productivity ◽  
Production Contracts ◽  
Marketing Contracts ◽  
On Farm ◽  
The Impact ◽  
Substantial Heterogeneity

Abstract Many studies show that participation in contract farming has positive impacts on farm productivity and incomes. Most of the literature, however, does not take into account that contracts vary in their specifications, making empirical evidence scarce on the diverse impacts of different types of contracts. In this study, we investigate the driving forces of participation in marketing and production contracts, relative to spot markets. We also study the extent to which different contract types add additional benefits to smallholder farmers, using recent survey data of 389 cashew farmers in Ghana. To account for selection bias arising from observed and unobserved factors, we apply a multinomial endogenous switching regression method and implement a counterfactual analysis. The empirical results demonstrate that farmers who participate in production contracts obtain significantly higher cashew yields, cashew net revenues, and are more food secure compared to spot market farmers. We also find substantial heterogeneity in the impact of marketing and production contracts across scale of operation. Small sized farms that participate in production contracts tend to benefit the most. Marketing contracts, however, do not appear to benefit cashew farmers.

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 ◽  
...  
Keyword(s):  
Peer Influence ◽  
Household Income ◽  
Sample Selection ◽  
Institutional Arrangement ◽  
Fish Farm ◽  
Farm Income ◽  
Switching Regression ◽  
Farm Work ◽  
Household Heads ◽  
The Impact

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.

The same deep water as you? The impact of alternative governance arrangements of water service delivery on efficiency

2017 ◽  
Vol 3 (2) ◽  
pp. 78-101 ◽  
Author(s):  
Miguel Rodrigues ◽  
António F Tavares
Keyword(s):  
Regulatory Authority ◽  
Regression Models ◽  
Water Governance ◽  
Water Utilities ◽  
Switching Regression ◽  
Water Utility ◽  
Utility Systems ◽  
The Impact ◽  
Switching Regression Models ◽  
Governance Arrangements

This work contributes to the literature on water governance by attempting to provide an answer to the question of what are the differences in efficiency of alternative governance arrangements of water utilities. We test hypotheses derived from property rights, principal–agent, and transaction costs theories using a comprehensive database of 260 water utility systems provided by the Portuguese Regulatory Authority of Water and Waste Services. Using endogenous switching regression models estimated through maximum likelihood, the study is designed in two steps. First, we investigate differences in efficiency between in-house options and externalization and find that in-house solutions as a set (direct provision and municipal companies) are more efficient than externalization options (mixed companies and concessions). Second, we test differences in efficiency within both in-house and externalization solutions, and fail to find statistically significant differences in efficiency between in-house bureaucracies and municipal companies and between mixed companies and concessions.

Nonfarm diversification and the well-being of rural farm households in developing countries: Evidence from Ghana using new dataset

2018 ◽  
Vol 69 (3) ◽  
pp. 207-229
Author(s):  
Bernardin Senadza ◽  
Edward Nketiah-Amponsah ◽  
Samuel Ampaw
Keyword(s):  
Well Being ◽  
Household Consumption ◽  
Empirical Method ◽  
Farm Households ◽  
Consumption Expenditure ◽  
Switching Regression ◽  
Rural Ghana ◽  
Per Capita ◽  
Nationally Representative ◽  
The Impact

Abstract This paper examines the impact of participation in both farm and nonfarm activities on both household consumption expenditure per adult equivalent and household per capita income, in rural Ghana. The objective is to ascertain whether the results are sensitive to the choice of well-being measure. We use a nationally representative dataset on 8,059 rural farm households collected in 2012/13. In order to account for potential selectivity and endogeneity biases, which previous studies failed to correct for, we adopt the endogenous switching regression (ESR) estimation technique. We find diversified households to be systematically different from their undiversified counterparts in terms of socioeconomic and demographic centeracteristics, thus justifying the empirical method used. Our results indicate a higher observed mean consumption for the diversified sub-sample compared to its counterfactual, implying that households participating in nonfarm enterprise activities in addition to farming have greater mean consumption compared to households engaged solely in farming. Similar conclusions are reached when income instead is used as the well-being indicator. Our findings, thus, indicate that the well-being implication of farm-nonfarm diversification is insensitive to the choice of well-being measure.

Capital and credit constraints in the engagement of youth in Ghanaian agriculture

2019 ◽  
Vol 80 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Monica Owusu Acheampong
Keyword(s):  
Positive Impact ◽  
Credit Constraints ◽  
Rural Youth ◽  
Unique Contribution ◽  
Switching Regression ◽  
Credit Constraint ◽  
Data Set ◽  
Content Type ◽  
Application Procedure ◽  
The Impact

Purpose The purpose of this paper is to determine the factors influencing rural youth farmers’ credit constraints status and the effect of credit constraint on the intensity of participation of these farmers in Ghana. Design/methodology/approach The econometric estimation is based on cross-sectional data collected in 2018 from the Brong Ahafo region in Ghana. The sample data set consists of 450 rural youth farmers. The collected data were analyzed through different econometric techniques, using the endogenous switching regression model (ERSM). Findings The direct elicitation approach employed in this study revealed that out of the 450 farmers, 211 (47 percent) of the respondents were credit constrained compared to 239 (53 percent) of their counterparts who were unconstrained. The ERSM indicated that youth farmers education, age, savings, parents occupation reduced the probability of the rural youth farmer to be credit constrained but cumbersome loan application procedure and loan disbursement time positively affect credit constraint. Moreover, farmers that are credit constrained have lower intensity of participation in agriculture activities than a random farmer from the sample. This suggests that access to credit has a positive impact on the intensity of participation in agriculture activities. Research limitations/implications In this study, only rural youth farmers in a particular region were considered. However, there are youths all over the nation. Therefore, future researchers could consider other youth’s farmers elsewhere in the country. Originality/value Although existing studies have examined rural youth farmers’ participation in agriculture and credit constraint separately, the unique contribution of this paper is the analysis of credit constraint of rural youth farmers as well as the impact of credit constraint on the intensity of participation in agriculture activities.

Pushed out or pulled in? Participation in non-farm activities in rural China

2017 ◽  
Vol 9 (1) ◽  
pp. 111-129 ◽  
Author(s):  
Yuanxiang Liu
Keyword(s):  
Rural China ◽  
Rural Households ◽  
Household Survey ◽  
Switching Regression ◽  
Content Type ◽  
Income Gap ◽  
Income Differential ◽  
Farm Production ◽  
Commercial Farming ◽  
The Impact

Purpose The purpose of this paper is to identify the determinants of China’s rural households’ non-farm participation. The authors pay special attention to the effect of potential income differential on this participation. Design/methodology/approach The data used in this study come from a household survey conducted in Hubei Province. The authors estimate participation equation and income equation, respectively, then introduce potential income differential simulated in participation equation to examine its effect on non-farm participation. Findings Potential income differential serves as the major pull factor that favors non-farm participation. Education, proximity to a city and specialized commercial farming are crucial in helping rural households to participate in non-farm production; while the land shortage or the labor surplus act as the push factor in non-farm participation. Better quality of land reduces the household’s propensity to participate in non-farm activities. Moreover, the income gap between households that participate in non-farm activities and pure farmers is mainly determined by the differences in household characteristics. Originality/value The authors use the method of “switching regression and structural probit” to examine the impact of potential income differential on non-farm participation, and simulate the response of the participation probability to the change of potential income differential. The authors also analyze the sources of income gap between non-farm and farm households using Oaxaca decomposition.

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