The impact of India’s farm science centers (Krishi Vigyan Kendras) on farm households’ economic welfare: Evidence from a national farmers survey

Author(s):  
International Food Policy Research Institute (IFPRI)
2019 ◽  
Vol 11 (18) ◽  
pp. 4987 ◽  
Author(s):  
Bo Wang ◽  
Po-Yuan Cheng ◽  
Brian Lee ◽  
Lih-Chyun Sun ◽  
Hung-Hao Chang

Recent research has highlighted the importance of agricultural cooperatives on farm production. Although the consensus from the literature suggests that participating in these organizations significantly affects farm production, there is inconclusive evidence on whether this effect is positive or negative. Moreover, previous studies solely focus on the magnitude of this effect and fail to explain the mechanism behind it. This study contributes to this knowledge gap by estimating the impact of agricultural cooperatives on farm profits. To do this, we apply the causal mediation analysis to explain the potential mechanism behind this relationship. Using a nationally representative survey of farm households from Taiwan in 2013, we find that participating in cooperatives increases farm profits. Furthermore, this effect is more pronounced for producers with higher profits. Concerning the mechanism, we find that the use of food labels accounts for approximately 15 to 28% of the total effect of cooperative participation on farm profits.


2021 ◽  
Author(s):  
Takashi Yamano ◽  
Noriko Sato ◽  
Babur Wasim Arif

This paper presents the results of two mobile phone surveys conducted by the Asian Development Bank among farmers in Punjab and Sindh provinces in Pakistan in mid-2020 during the coronavirus disease (COVID-19) pandemic. The surveys collected information about how COVID-19-related measures and economic and transport disruptions affected farmers’ harvests, marketing efforts, input prices, and financial needs. The surveys found that the COVID-19 pandemic had significant negative impacts on farm households in both provinces. The paper provides additional context on COVID-19-related effects on local and regional economies and food supply chains. It also covers a simultaneous locust invasion along the India–Pakistan border, which has created “crisis within a crisis” in the surveyed provinces and exacerbated conditions that could lead to famine, disease, and increased poverty.


2010 ◽  
Vol 45 (3) ◽  
pp. 188-192 ◽  
Author(s):  
Davide Viaggi ◽  
Meri Raggi ◽  
Vittorio Gallerani ◽  
Sergio Gomez y Paloma

2013 ◽  
Vol 35 (3) ◽  
pp. 508-527 ◽  
Author(s):  
Chandra S. Kumar ◽  
Calum G. Turvey ◽  
Jaclyn D. Kropp

2011 ◽  
Vol 40 (1) ◽  
pp. 95-115 ◽  
Author(s):  
Hisham El-Osta

Data from the 2006 Agricultural Resource Management Survey and multivariate regression procedures are used to examine the role of human capital in impacting the incomes of farm households. The paper uses an “adjusted” concept of income where government payments are subtracted from total household income thus allowing for the utilization of government payments as a potential control variable in the regression models. Findings indicate a significant and positive role for higher education except for farm households at the very lower and upper ends of the income distribution.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lin Lin ◽  
Hung-Hao Chang

PurposeThe purpose of this paper is to identify the factors associated with the adoption of agro-processing methods and to estimate their impact on farm income and farm diversification.Design/methodology/approachUsing a large-scale sample of 12,122 special crop farm households drawn from the 2015 Agricultural Census Survey in Taiwan, the semiparametric multivalued treatment effect model was estimated.FindingsThe authors found that agro-processing farm households obtain higher farm incomes than non-agro-processing farm households. Among the agro-processing methods, self-processing generates higher farm income than outsourced-processing. Moreover, farm households that adopt either agro-processing method are more likely to diversify into agritourism and other agribusinesses than non-agro-processing farms.Research limitations/implicationsThe authors could only access data on farm income and not on agro-processing costs. Future studies may address the impact of agro-processing on farm profitability if relevant data are available.Originality/valueVery few studies have examined the relationship between agro-processing, farm income and farm diversification. To the best of the authors’ knowledge, this is one of the first papers to examine the impact of different agro-processing practices on farm income and farm diversification.


2018 ◽  
Vol 10 (12) ◽  
pp. 4361 ◽  
Author(s):  
Hong Sun ◽  
Valentina Hartarska ◽  
Lezhu Zhang ◽  
Denis Nadolnyak

This paper evaluates whether social capital affects the ability of farm households to obtain formal and informal loans. We test for the impact of two measures of social capital. The first measure, kinship, captures the traditional aspects of bonding social capital in rural areas that might affect the probability of getting informal loans. As the economic reforms in China have changed the traditional rural way of life and weakened the role of kinship, more mobile farmers are likely to develop a different kind of social capital also based in the Chinese tradition but not focused exclusively on kin. This friendship social capital is hypothesized to affect farmers’ ability to get both formal and informal loans. We use the Chinese Household Finance Survey data from 2013 and estimate the probability of obtaining credit, while also accounting for the reverse causality. In addition, we use the Heckman selection model to establish how social capital affects not only the probability of getting loans but also the size of the loan. Empirical results suggest that social capital affects borrowing by farm households. In particular, the friendship social capital has a positive effect on farm household’s ability to get formal loans, and has a substitution effect on informal borrowing, while kinship has a positive effect on farm households’ ability to get informal loans. Friendship and kinship are positively associated with the amount of a farm household’s formal and informal loans, respectively.


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