2022
DOI: 10.1111/poms.13642
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Crop minimum support price versus cost subsidy: Farmer and consumer welfare

Abstract: Besides using earmark budget to support farmer cost subsidies, governments in many developing countries use minimum support price (MSP) as an alternative subsidy scheme to (i) safeguard farmers' incomes against vagaries in crop price and (ii) ensure sufficient crop production. Among different MSP schemes, we focus on the creditbased MSP scheme under which a government will not take any possession of a crop; instead, it will credit farmers if the prevailing market price is below the prespecified MSP. In this pa… Show more

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Cited by 29 publications
(10 citation statements)
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“…š›½e can be expressed as the degree of improvement in product performance (Hsu et al, 2019;Mu et al, 2016), where š›½ is the market demand sensitivity coefficient under consumer green technology preference (i.e., consumer green preference), e represents the level of green technology (i.e., water saving effect), q indicates the production quantity of the farmer (we relax the relevant assumptions in our extensions, see Appendix A). Similar to Guda et al (2021), the improved agricultural infrastructure and mechanization of agriculture has largely reduced the uncertainty in crop yields in many developing countries (Chintapalli & Tang, 2022a;Guo et al, 2022).…”
Section: Modelmentioning
confidence: 99%
“…š›½e can be expressed as the degree of improvement in product performance (Hsu et al, 2019;Mu et al, 2016), where š›½ is the market demand sensitivity coefficient under consumer green technology preference (i.e., consumer green preference), e represents the level of green technology (i.e., water saving effect), q indicates the production quantity of the farmer (we relax the relevant assumptions in our extensions, see Appendix A). Similar to Guda et al (2021), the improved agricultural infrastructure and mechanization of agriculture has largely reduced the uncertainty in crop yields in many developing countries (Chintapalli & Tang, 2022a;Guo et al, 2022).…”
Section: Modelmentioning
confidence: 99%
“…Therefore, if seller š‘– does not adulterate his products, he will expect to obtain their overall quality level of š›¼ š‘– . Here, we implicitly assume that the uncertainty factor is perfectly correlated for all sellers, i.e., the uncertainty factor is at the "market level" (Chintapalli and Tang, 2022). This assumption is commonly adopted in the agricultural economics and operations literature (e.g., Kazaz and Webster, 2011;Alizamir et al, 2019) to ensure tractability and is reasonable when the farmers are located in countries that have similar weather conditions and, hence, are exposed to the same sources of uncertainty.…”
Section: Model Formulationmentioning
confidence: 99%
“…In Chintapalli and Tang (2021a), the authors analyze the impact on both net benefit to farmers and net social value after accounting for the cost of implementing MSP. In Chintapalli and Tang (2021b), the authors analyze the impact of cost subsidy and MSP on net benefit to farmers and net surplus. Ye et al (2021) analyze the impact of a farmer subsidy program vis-Ć -vis a producer subsidy program in a setting wherein risk-averse farmers with limited land capacity and yield uncertainty produce biomass feedstock to supply to a bioenergy producer.…”
Section: Production and Operations Managementmentioning
confidence: 99%
“…In Chintapalli and Tang (2021a), the authors analyze the impact on both net benefit to farmers and net social value after accounting for the cost of implementing MSP. In Chintapalli and Tang (2021b), the authors analyze the impact of cost subsidy and MSP on net benefit to farmers and net surplus. Ye et al.…”
Section: Stakeholder Engagement For Farming In a Digital Eramentioning
confidence: 99%