Impact of agricultural credit sources heterogeneity on rice production efficiency in Côte d'Ivoire

被引:0
作者
Ouattara, N'Banan [1 ,2 ]
Xiong, Xueping [1 ]
Ali, Abdelrahman [1 ,3 ]
Sedebo, Dessalegn Anshiso [1 ]
Bi, Trazie Bertrand Athanase Youan [2 ,4 ]
Ballo, Zie [5 ]
机构
[1] Huazhong Agr Univ, Coll Econ & Management, Wuhan, Peoples R China
[2] Ctr Suisse Rech Sci Cote Ivoire, Abidjan, Cote Ivoire
[3] Fayoum Univ, Agr Coll, Dept Agr Econ, Al Fayyum, Egypt
[4] Univ Alassane Ouattara, UFR Sci Econ & Dev, Bouake, Cote Ivoire
[5] Univ Felix Houphouet Boigny, UFR Sci Econ & Gest, Abidjan, Cote Ivoire
关键词
Technical efficiency; Agricultural credit; Cote d'Ivoire; Endogenous stochastic frontier production; Rice farming; TECHNICAL EFFICIENCY; SMALLHOLDER FARMERS; ALLOCATION DECISIONS; ACCESS; CONSTRAINTS; GHANA; DETERMINANTS; MARKETS; DEA;
D O I
10.1108/JADEE-11-2021-0304
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Purpose - This study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Cote d'Ivoire by considering the heterogeneity among credit sources.Design/methodology/approach - A 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.Findings - On 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/implications - Future research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.Originality/value - The 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 Cote d'Ivoire.
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页数:23
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共 68 条
  • [1] Agricultural credit and technical efficiency in Ghana: is there a nexus?
    Abdallah, Abdul-Hanan
    [J]. AGRICULTURAL FINANCE REVIEW, 2016, 76 (02) : 309 - 324
  • [2] Agricultural Credit and Its Impact on the Productivity of Certain Cereals in Togo
    Agbodji, Akoete Ega
    Johnson, Ablamba Ahoefavi
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2021, 57 (12) : 3320 - 3336
  • [3] Aigner J., 1977, Journal of Econometrics, V6, P21, DOI [10.1016/0304-4076(77)90052-5, DOI 10.1016/0304-4076(77)90052-5]
  • [4] Anang B. T., 2016, Journal of Agriculture and Rural Development in the Tropics and Subtropics, V117, P189
  • [5] Capital and credit constraints in the engagement of youth in Ghanaian agriculture
    Ankrah Twumasi, Martinson
    Jiang, Yuansheng
    Owusu Acheampong, Monica
    [J]. AGRICULTURAL FINANCE REVIEW, 2020, 80 (01) : 22 - 37
  • [6] Moving toward rice self-sufficiency in sub-Saharan Africa by 2030: Lessons learned from 10 years of the Coalition for African Rice Development
    Arouna, Aminou
    Fatognon, Irene Akoko
    Saito, Kazuki
    Futakuchi, Koichi
    [J]. WORLD DEVELOPMENT PERSPECTIVES, 2021, 21
  • [7] The Determinants of Technical Efficiency of Cocoa Production in Ghana: An Analysis of the Role of Rural and Community Banks
    Attipoe, Sonny Gad
    Jianmin, Cao
    Opoku-Kwanowaa, Yaa
    Ohene-Sefa, Frank
    [J]. SUSTAINABLE PRODUCTION AND CONSUMPTION, 2020, 23 : 11 - 20
  • [8] Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level
    Auci, Sabrina
    Vignani, Donatella
    [J]. ECONOMIA POLITICA, 2020, 37 (02) : 381 - 409
  • [9] Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana
    Azumah, Shaibu Baanni
    Donkoh, Samuel Arkoh
    Awuni, Joseph Agebase
    [J]. AGRICULTURAL AND FOOD ECONOMICS, 2019, 7 (01)
  • [10] Beke T. E., 2011, Revue d'Etudes en Agriculture et Environnement, V92, P117