{"title":"农业信贷来源异质性对科特迪瓦水稻生产效率的影响","authors":"N’Banan Ouattara, Xueping Xiong, Abdelrahman Ali, DESSALEGN ANSHISO SEDEBO, Trazié Bertrand Athanase Youan Bi, Zié Ballo","doi":"10.1108/jadee-11-2021-0304","DOIUrl":null,"url":null,"abstract":"PurposeThis study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Côte d'Ivoire by considering the heterogeneity among credit sources.Design/methodology/approachA multistage sampling technique was used to collect data from 588 randomly sampled rice farmers in seven rice areas of the country. The authors use the endogenous stochastic frontier production (ESFP) model to account for the endogeneity of access to agricultural credit.FindingsOn the one hand, agricultural credit has a significant and positive impact on rice farmers' TE. Rice farmers receiving agricultural credit have an average of 5% increase in their TE, confirming the positive impact of agricultural credit on TE. On the other hand, the study provides evidence that the impact of credit on rice production efficiency differs depending on the source of credit. Borrowing from agricultural cooperatives and paddy rice buyers/processors positively and significantly influences the TE, while borrowing from microfinance institutions (MFIs) negatively and significantly influences the TE. Moreover, borrowing from relatives/friends does not significantly influence TE.Research limitations/implicationsFuture research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.Originality/valueThe study provides evidence that the impact of agricultural credit on agricultural production efficiency depends on the source of credit. This study contributes to the literature on the impact of agricultural credit and enlightens policymakers in the design of agricultural credit models in developing countries, particularly Côte d'Ivoire.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" 680","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of agricultural credit sources heterogeneity on rice production efficiency in Côte d'Ivoire\",\"authors\":\"N’Banan Ouattara, Xueping Xiong, Abdelrahman Ali, DESSALEGN ANSHISO SEDEBO, Trazié Bertrand Athanase Youan Bi, Zié Ballo\",\"doi\":\"10.1108/jadee-11-2021-0304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Côte d'Ivoire by considering the heterogeneity among credit sources.Design/methodology/approachA multistage sampling technique was used to collect data from 588 randomly sampled rice farmers in seven rice areas of the country. The authors use the endogenous stochastic frontier production (ESFP) model to account for the endogeneity of access to agricultural credit.FindingsOn the one hand, agricultural credit has a significant and positive impact on rice farmers' TE. Rice farmers receiving agricultural credit have an average of 5% increase in their TE, confirming the positive impact of agricultural credit on TE. On the other hand, the study provides evidence that the impact of credit on rice production efficiency differs depending on the source of credit. Borrowing from agricultural cooperatives and paddy rice buyers/processors positively and significantly influences the TE, while borrowing from microfinance institutions (MFIs) negatively and significantly influences the TE. Moreover, borrowing from relatives/friends does not significantly influence TE.Research limitations/implicationsFuture research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.Originality/valueThe study provides evidence that the impact of agricultural credit on agricultural production efficiency depends on the source of credit. This study contributes to the literature on the impact of agricultural credit and enlightens policymakers in the design of agricultural credit models in developing countries, particularly Côte d'Ivoire.\",\"PeriodicalId\":45976,\"journal\":{\"name\":\"Journal of Agribusiness in Developing and Emerging Economies\",\"volume\":\" 680\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agribusiness in Developing and Emerging Economies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jadee-11-2021-0304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agribusiness in Developing and Emerging Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jadee-11-2021-0304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
引用次数: 0
摘要
目的 本研究通过考虑信贷来源的异质性,探讨了农业信贷对科特迪瓦稻农技术效率(TE)的影响。作者使用内生随机前沿生产(ESFP)模型来解释获得农业信贷的内生性。研究结果一方面,农业信贷对稻农的 TE 有显著的积极影响。获得农业信贷的稻农的 TE 平均增加了 5%,证实了农业信贷对 TE 的积极影响。另一方面,研究提供的证据表明,信贷对水稻生产效率的影响因信贷来源而异。从农业合作社和水稻收购商/加工商借款对 TE 有显著的正向影响,而从小额信贷机构借款则对 TE 有显著的负向影响。此外,向亲戚/朋友借款对 TE 的影响并不显著。研究局限性/意义未来的研究可以通过纳入多种农业生产并使用面板数据来进一步探讨农业信贷的贡献。本研究为有关农业信贷影响的文献做出了贡献,并为发展中国家(尤其是科特迪瓦)的政策制定者设计农业信贷模式提供了启示。
Impact of agricultural credit sources heterogeneity on rice production efficiency in Côte d'Ivoire
PurposeThis study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Côte d'Ivoire by considering the heterogeneity among credit sources.Design/methodology/approachA multistage sampling technique was used to collect data from 588 randomly sampled rice farmers in seven rice areas of the country. The authors use the endogenous stochastic frontier production (ESFP) model to account for the endogeneity of access to agricultural credit.FindingsOn the one hand, agricultural credit has a significant and positive impact on rice farmers' TE. Rice farmers receiving agricultural credit have an average of 5% increase in their TE, confirming the positive impact of agricultural credit on TE. On the other hand, the study provides evidence that the impact of credit on rice production efficiency differs depending on the source of credit. Borrowing from agricultural cooperatives and paddy rice buyers/processors positively and significantly influences the TE, while borrowing from microfinance institutions (MFIs) negatively and significantly influences the TE. Moreover, borrowing from relatives/friends does not significantly influence TE.Research limitations/implicationsFuture research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.Originality/valueThe study provides evidence that the impact of agricultural credit on agricultural production efficiency depends on the source of credit. This study contributes to the literature on the impact of agricultural credit and enlightens policymakers in the design of agricultural credit models in developing countries, particularly Côte d'Ivoire.
期刊介绍:
The Journal of Agribusiness in Developing and Emerging Economies publishes double-blind peer-reviewed research on issues relevant to agriculture and food value chain in emerging economies in Asia, Africa, Latin America and Eastern Europe. The journal welcomes original research, particularly empirical/applied, quantitative and qualitative work on topics pertaining to policies, processes, and practices in the agribusiness arena in emerging economies to inform researchers, practitioners and policy makers