IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p10981-d1193179.html
   My bibliography  Save this article

Determinants Influencing Cocoa Farmers’ Satisfaction with Input Credit in the Nawa Region of Côte d’Ivoire

Author

Listed:
  • Yao Dinard Kouadio

    (School of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Amètépé Nathanaël Beauclair Anani

    (School of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Bonoua Faye

    (School of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Yadong Fan

    (School of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

Abstract

Assessing farmers’ satisfaction with Input Credit (IC) is essential for agricultural modernization in Sub-Saharan African countries. Therefore, based on farmers’ socio-economics data, this study aimed to determine the potential factors influencing farmers’ satisfaction with IC. The data were collected through a questionnaire from a random sample of 311 farmers in the Nawa region of southwestern Côte d’Ivoire in November 2022. Farmers rated constraints in the use of IC on three main indicators: (1) availability of inputs, (2) accessibility, and (3) credit repayment conditions. In addition to the descriptive statistics, a logistic regression model was constructed to compute the results using Stata 17.0 software. The main findings of descriptive statistics showed that 61.97% of the farmers were dissatisfied with using IC, while 38.03% were satisfied. The results also indicated that about 61.15% of farmers were constrained by credit services for inputs, compared to 38.85%. The logistic regression results revealed that the factors that significantly influence farmers’ satisfaction were annual production required and the number of years (at 1%) of IC use, training programs for farmers, farm size, input price (at 10%), and age (at 5%). Accordingly, cacao production in Côte d’Ivoire still faces multiple and complex factors. So, the results provide practical implications for policymakers and innovators to support smallholder farmers in providing high-quality technology innovation adoption programs.

Suggested Citation

  • Yao Dinard Kouadio & Amètépé Nathanaël Beauclair Anani & Bonoua Faye & Yadong Fan, 2023. "Determinants Influencing Cocoa Farmers’ Satisfaction with Input Credit in the Nawa Region of Côte d’Ivoire," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10981-:d:1193179
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/10981/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/14/10981/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    2. Bonoua Faye & Guoming Du & Ru Zhang, 2022. "Efficiency Analysis of Land Use and the Degree of Coupling Link between Population Growth and Global Built-Up Area in the Subregion of West Africa," Land, MDPI, vol. 11(6), pages 1-21, June.
    3. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
    4. Bonoua Faye & Guoming Du & Edmée Mbaye & Chang’an Liang & Tidiane Sané & Ruhao Xue, 2023. "Assessing the Spatial Agricultural Land Use Transition in Thiès Region, Senegal, and Its Potential Driving Factors," Land, MDPI, vol. 12(4), pages 1-20, March.
    5. Manolis Manioudis & Giorgos Meramveliotakis, 2022. "Broad strokes towards a grand theory in the analysis of sustainable development: a return to the classical political economy," New Political Economy, Taylor & Francis Journals, vol. 27(5), pages 866-878, September.
    6. Kassem, Hazem S. & Alotaibi, Bader Alhafi & Muddassir, Muhammad & Herab, Ahmed, 2021. "Factors influencing farmers’ satisfaction with the quality of agricultural extension services," Evaluation and Program Planning, Elsevier, vol. 85(C).
    7. Srijna Jha & Harald Kaechele & Marcos Lana & T.S Amjath-Babu & Stefan Sieber, 2020. "Exploring Farmers’ Perceptions of Agricultural Technologies: A Case Study from Tanzania," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    8. Khonje, Makaiko & Mkandawire, Petros & Manda, Julius & Alene, Arega, 2015. "Analysis of adoption and impacts of improved cassava varieties," 2015 Conference, August 9-14, 2015, Milan, Italy 211842, International Association of Agricultural Economists.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Backson Mwangi & Ibrahim Macharia & Eric Bett, 2021. "Ex-post Impact Evaluation of Improved Sorghum Varieties on Poverty Reduction in Kenya: A Counterfactual Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 447-467, April.
    2. Adu-Gyamfi Poku & Regina Birner & Saurabh Gupta, 2018. "Why do maize farmers in Ghana have a limited choice of improved seed varieties? An assessment of the governance challenges in seed supply," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 27-46, February.
    3. Larson,Donald F. & Muraoka,Rie & Otsuka,Keijiro, 2016. "On the central role of small farms in African rural development strategies," Policy Research Working Paper Series 7710, The World Bank.
    4. Gebremariam, Gebrelibanos & Tesfaye, Wondimagegn, 2018. "The heterogeneous effect of shocks on agricultural innovations adoption: Microeconometric evidence from rural Ethiopia," Food Policy, Elsevier, vol. 74(C), pages 154-161.
    5. Li, Dongmei & Yang, Yuanyuan & Du, Guoming & Huang, Shanlin, 2021. "Understanding the contradiction between rural poverty and rich cultivated land resources: A case study of Heilongjiang Province in Northeast China," Land Use Policy, Elsevier, vol. 108(C).
    6. Fissha Asmare & Jūratė Jaraitė & Andrius Kažukauskas, 2022. "Climate change adaptation and productive efficiency of subsistence farming: A bias‐corrected panel data stochastic frontier approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 739-760, September.
    7. Julius Manda & Cornelis Gardebroek & Makaiko Khonje & Arega Alene & Munyaradzi Mutenje & Menale Kassie, 2016. "Determinants of child nutritional status in the eastern province of Zambia: the role of improved maize varieties," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 239-253, February.
    8. Million Sileshi & Reuben Kadigi & Khamaldin Mutabazi & Stefan Sieber, 2019. "Impact of soil and water conservation practices on household vulnerability to food insecurity in eastern Ethiopia: endogenous switching regression and propensity score matching approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(4), pages 797-815, August.
    9. Varma, Poornima, 2017. "Adoption of System of Rice Intensification and its Impact on Rice Yields and Household Income: An Analysis for India," IIMA Working Papers WP2017-02-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    10. Tufa, Adane Hirpa & Alene, Arega D. & Manda, Julius & Akinwale, M.G. & Chikoye, David & Feleke, Shiferaw & Wossen, Tesfamicheal & Manyong, Victor, 2019. "The productivity and income effects of adoption of improved soybean varieties and agronomic practices in Malawi," World Development, Elsevier, vol. 124(C), pages 1-1.
    11. Cindybell Gamboa & Goedele Van den Broeck & Miet Maertens, 2018. "Smallholders’ Preferences for Improved Quinoa Varieties in the Peruvian Andes," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    12. Sinyolo, Sikhulumile, 2020. "Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties," Technology in Society, Elsevier, vol. 60(C).
    13. Manda, Julius & Alene, Arega D. & Tufa, Adane H. & Abdoulaye, Tahirou & Wossen, Tesfamicheal & Chikoye, David & Manyong, Victor, 2019. "The poverty impacts of improved cowpea varieties in Nigeria: A counterfactual analysis," World Development, Elsevier, vol. 122(C), pages 261-271.
    14. Aminata Diagne & Lota Tamini & Patrick Mundler, 2019. "Factors Explaining the Dynamics of Agricultural Technology Adoption: Evidence from Senegal's Rain Maize Farmers," CIRANO Working Papers 2019s-08, CIRANO.
    15. Pham Bao Duong & Pham Tien Thanh & Tihomir Ancev, 2021. "Impacts of off‐farm employment on welfare, food security and poverty: Evidence from rural Vietnam," International Journal of Social Welfare, John Wiley & Sons, vol. 30(1), pages 84-96, January.
    16. Botero, Hernan & Barnes, Andrew P. & Perez, Lisset & Rios, David & Ramirez-Villegas, Julian, 2021. "The determinants of common bean variety selection and diversification in Colombia," Ecological Economics, Elsevier, vol. 190(C).
    17. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2018. "The impacts of postharvest storage innovations on food security and welfare in Ethiopia," Food Policy, Elsevier, vol. 75(C), pages 52-67.
    18. Manda, Julius & Khonje, Makaiko G. & Alene, Arega D. & Tufa, Adane H & Abdoulaye, Tahirou & Mutenje, Munyaradzi & Setimela, Peter & Manyong, Victor, 2020. "Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    19. Tezera W. Meskel & Mengistu Ketema & Jema Haji & Lemma Zemedu, 2021. "Welfare Impact of Moringa Market Participation in Southern Ethiopia," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 9(3), pages 1-98, December.
    20. Gao, Yang & Niu, Ziheng & Yang, Haoran & Yu, Lili, 2019. "Impact of green control techniques on family farms' welfare," Ecological Economics, Elsevier, vol. 161(C), pages 91-99.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10981-:d:1193179. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.