Choice of Agri-credit Source Among Cavendish Banana Farmers: Evidence from Southern Philippines
spjrd-march-2025
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Keywords

agricultural credit
formal credit
informal credit
multinomial regression
Cavendish banana

How to Cite

Loquias, M., Placencia, S. G., & Digal, L. (2025). Choice of Agri-credit Source Among Cavendish Banana Farmers: Evidence from Southern Philippines. Southeastern Philippines Journal of Research and Development, 30(1), 153-171. https://doi.org/10.53899/spjrd.v30i1.455

Abstract

The Cavendish banana industry presents various opportunities for the Philippine agricultural sector; however, the threats of high development, production, and maintenance costs and the persisting Fusarium Wilt issue impede farmers from harnessing these opportunities. With the high production cost, agricultural credit becomes the fastest solution to sustain production. This study examines the factors affecting the choice of agri-credit source of smallholder Cavendish banana farmers in the Philippines. Using a multinomial regression model, survey data from 187 Cavendish banana farmers in Davao del Norte, Philippines, were analyzed to determine the factors influencing the choice of credit source. The credit sources were classified as categorical variables with ‘no credit’ as the base outcome. Results showed that factors such as education, contract arrangement, and level of barangay infrastructure significantly affected the choice of credit source of the farmers. Key findings also show that farmers who loaned from formal sources had higher output and farm incomes than those who had no credit and those who loaned from informal credit. The results can potentially aid the government in crafting policies and interventions relating to improved access to formal credit. Very few studies have explored the credit choice of farmers in the context of an important export commodity such as the Cavendish banana industry. As such, this study can add to the body of knowledge on agricultural finance, especially in the context of an export industry.

https://doi.org/10.53899/spjrd.v30i1.455
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References

Abdallah, A.-H. (2016). Does credit market inefficiency affect technology adoption? Evidence from sub-Saharan Africa. Agricultural Finance Review, 76(4), 494-511. https://doi.org/10.1108/AFR-05-2016-0052

Abdallah, A.-H., Ayamga, M., & Awuni, J. A. (2018). Impact of agricultural credit on farm income under the Savanna and Transitional zones of Ghana. Agricultural Finance Review. https://doi.org/10.1108/AFR-02-2018-0009

Abedullah, A., Mahmood, N., Khalid, M., & Kouser, S. (2009). The role of agricultural credit in the growth of livestock sector: A case study of Faisalabad. Pakistan Veterinary Journal, 29(2), 81-84. https://www.pvj.com.pk/pdf-files/29_2/81-84.pdf

Adams, D. W., & Nazarea-Sandoval, V. (1992). Informal finance in a semi-rural area of the Philippines. Savings and Development, 16(2), 159-168. https://tinyurl.com/2svxvvmv

Adekanye, T. O. (1983). Agricultural credit in Africa: Implications of the Nigerian experience. Agricultural Administration, 14(4), 203-211. https://doi.org/10.1016/0309-586X(83)90058-4

Agcaoili, L. (2020, January 3). Agri-agra loans grow 11% to P714 billion in 9 months. Philippine Star. https://tinyurl.com/v3m296x3

Arouna, A., Michler, J. D., & Lokossou, J. C. (2021). Contract farming and rural transformation: Evidence from a field experiment in Benin. Journal of Development Economics, 151. https://doi.org/10.1016/j.jdeveco.2021.102626

Awotide, B. A., Abdoulaye, T., Alene, A., & Manyong, V. M. (2015). Impact of access to credit on agricultural productivity: Evidence from smallholder cassava farmers in Nigeria. International Conference of Agricultural Economists (ICAE), 1-34. https://doi.org/10.22004/ag.econ.210969

Barslund, M., & Tarp, F. (2008). Formal and informal rural credit in four provinces of Vietnam. Journal of Development Studies, 44(4), 485-503. https://doi.org/10.1080/00220380801980798

Bayudan-Dacuycuy, C., Magno-Ballesteros, M., Kryz, L., Baje, C., & Ancheta, J. A. (2020). Towards a more sustainable financing of small farmers and fisherfolk’s agricultural production. PIDS Discussion Paper Series, No. 2020-38. https://www.pids.gov.ph

Benson, A., & Faguet, J.-P. (2023). Increasing access to formal agricultural credit: The role of rural producer organisations. The Journal of Development Studies, 59(1), 21-38. https://doi.org/10.1080/00220388.2022.2102899

Boltana, A., Tafesse, A., Belay, A., Recha, J. W., & Osano, P. (2023). Impact of credit on household food security: The case of Omo microfinance institution in southern Ethiopia. Journal of Agriculture and Food Research, 14, 100903. https://doi.org/10.1016/j.jafr.2023.100903

Blundell, R. W., & Powell, J. L. (2004). Endogeneity in semiparametric binary response models. The Review of Economic Studies, 71(3), 655-679. https://doi.org/10.1111/j.1467-937X.2004.00299.x

Castellani, D. (2014). Shocks and credit choice in Southern Ethiopia. Agricultural Finance Review, 74(1), 87-114. https://doi.org/10.1108/AFR-04-2013-0015

Chandio, A. A., Jiang, Y., Rehman, A., Twumasi, M. A., Pathan, A. G., & Mohsin, M. (2021). Determinants of demand for credit by smallholder farmers’: A farm level analysis based on survey in Sindh, Pakistan. Journal of Asian Business and Economic Studies, 28(3), 225-240. https://doi.org/10.1108/JABES-01-2020-0004

Congress of the Philippines. (2009). Agri-agra reform credit act of 2009 (Republic Act. No. 10000).

de Grange, L., González, F., Marechal, M., & Troncoso, R. (2024). Estimating multinomial logit models with endogenous variables: Control function versus two adapted approaches. Transportation Research Part A: Policy and Practice, 183, 104068. https://doi.org/10.1016/j.tra.2024.104068

de la Cruz, J., & Jansen, K. (2018). Panama disease and contract farming in the Philippines: Towards a political ecology of risk. Journal of Agrarian Change, 18(2), 249-266. https://doi.org/10.1111/joac.12226

Department of Agriculture. (2022). The Philippine banana industry roadmap 2021-2025.

Diagne, A., Zeller, M., & Sharma, M. (2000). Empirical measurements of households’ access to credit and credit constraints in developing countries: Methodological issues and evidence. In FCND Discussion Paper No. 90. https://tinyurl.com/3ejxytxk

Digal, L., & Placencia, S. G. (2019). Factors affecting the adoption of hybrid and high-yielding rice varieties in the Philippines. Agricultural Research, 9, 1-8. https://doi.org/10.1007/s40003-019-00403-z

Doan, T., Gibson, J., & Holmes, M. (2010). What determines credit participation and credit constraints of the poor in peri-urban areas, Vietnam? https://tinyurl.com/mt6ev9eu

Food and Agriculture Organization of the United Nations (FAO). (2017). Banana market review 2015-2016.

Food and Agriculture Organization of the United Nations (FAO). (2018a). Banana Market Review 2017.

Food and Agriculture Organization of the United Nations (FAO). (2018b). Banana market review: Preliminary results for 2018. 1-46.

Food and Agriculture Organization of the United Nations (FAO). (2023). Banana market review- Preliminary results 2023.

Geron, M. P. S., Llanto, G. M., & Badiola, J. A. R. (2016). Comprehensive study on credit programs to smallholders. PIDS Discussion Paper Series. https://tinyurl.com/ys99cx7a

Girma, Y. (2022). Credit access and agricultural technology adoption nexus in Ethiopia: A systematic review and meta-analysis. Journal of Agriculture and Food Research, 10, 100362. https://doi.org/10.1016/j.jafr.2022.100362

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251-1271. https://doi.org/10.2307/1913827

Heckman, J. J. (1976). Simultaneous equation models with both continuous and discrete and endogenous variables with and without structural shift in the equations. In Studies in Nonlinear Estimation (pp. 931-59).

Iftikhar, S., & Mahmood, H. Z. (2017). Ranking and relationship of agricultural credit with food security: A district level analysis. Cogent Food and Agriculture, 3(1). https://doi.org/10.1080/23311932.2017.1333242

Kiros, S., & Meshesha, G. B. (2022). Factors affecting farmers’ access to formal financial credit in Basona Worana District, North Showa Zone, Amhara Regional State, Ethiopia. Cogent Economics and Finance, 10(1). https://doi.org/10.1080/23322039.2022.2035043

Kumar, A., Singh, D. K., & Kumar, P. (2007). Performance of rural credit and factors affecting the choice of credit sources. Indian Journal of Agricultural Economics, 62(3), 297-313. https://doi.org/10.22004/ag.econ.204524

Kumar, A., Singh, K. M., & Sinha, S. (2010). Institutional credit to agriculture sector in India: Status, performance and determinants. Agricultural Economics Research Review, 23(2), 253-264. https://doi.org/10.22004/ag.econ.96935

Lesschen, J. P., Verburg, P. H., & Staal, S. J. (2005). Statistical methods for analysing the spatial dimension of changes in land use and farming systems. LUCC Report Series No.7. https://tinyurl.com/4ecvpepa

Lewbel, A. (2018). Identification and estimation using heteroscedasticity without instruments: The binary endogenous regressor case. Economics Letters, 165, 10-12. https://doi.org/10.1016/j.econlet.2018.01.003

Llanto, G. M. (1993). Agricultural credit and banking in the Philippines: Efficiency and access issues. Philippine Institute for Development Studies, 93. https://tinyurl.com/3azdxewt

Looney, R. E. (1994). The impact of infrastructure on Pakistan’s agricultural sector. Journal of Developing Areas, 28(4), 469-486. https://tinyurl.com/3hcxmh9n

Loquias, M. P., Digal, L. N., Placencia, S. G., Astronomo, I. J. T., Orbeta, M. L. G., & Balgos, C. Q. (2022). Factors affecting participation in contract farming of smallholder Cavendish banana farmers in the Philippines. Agricultural Research, 11(1), 146-54. https://doi.org/10.1007/s40003-021-00544-0

Lyons, A. C., Grable, J. E., & Zeng, T. (2019). Impacts of financial literacy on the loan decisions of financially excluded households in the People’s Republic of China. In ADBI Working Paper 923. Asian Development Bank Institute. https://tinyurl.com/9set4bfu

Mamba, T. X. (2016). The role of contracts in improving access to credit in the smallholder livestock sector of Swaziland [MSc thesis in Agriculture (Agricultural Economics), University of Pretoria]. https://tinyurl.com/mwhzn3xf

Mohamed, S., & Haji, J. (2017). Impact of productive safety net program on household food security and asset building: The case of Goro Gutu District, East Hararghe Zone of Oromia National Regional State, Ethiopia [Postgraduate Program Directorate, Haramaya University].

Pal, D., & Laha, A. K. (2015). Sectoral credit choice in rural India. Journal of Choice Modelling, 14, 1-16. https://doi.org/10.1016/j.jocm.2015.03.001

Pal, S. (2002). Household sectoral choice and effective demand for rural credit in India. Applied Economics, 34(14), 1743-55. https://doi.org/10.1080/00036840210121228

Philippine Statistics Authority (PSA) - OpenSTAT. (2024a). Other crops: Volume of production by Region and by Province, by Quarter and Semester, 2010-2024.

Philippine Statistics Authority (PSA) - OpenSTAT. (2024b). Other crops: Area planted/harvested, by Region and by Province, by Semester, 2010-2024.

Ping, L., Xiaosong, S., & Jinzhao, L. (2022). Research on farmers’ households credit behavior and social capital acquisition. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.961862

Poliquit, L. Y. (2006). Accessibility of rural credit among small farmers in the Philippines.

Provincial Agriculturist’s Office. (2016). Cavendish banana production area.

Rashid, F. N. (2021). Achieving SDGs in Tanzania: Is there a nexus between land tenure security, agricultural credits, and rice productivity? Resources, Conservation and Recycling, 164, 105216. https://doi.org/10.1016/j.resconrec.2020.105216

Rizwan, M., Ping, Q., Iram, S., Nazir, A., & Wang, Q. (2019). Why and for what? An evidence of agriculture credit demand among rice farmers in Pakistan. In ADBI Working Paper 995. Asian Development Bank Institute. https://tinyurl.com/3f5tn4bk

Rudeloff, M. (2019). The influence of informal learning opportunities on adolescents’ financial literacy. Empirical Research in Vocational Education and Training, 11(1). https://doi.org/10.1186/s40461-019-0086-y

Setboonsarng, S. (2008). The impact of rural infrastructure and agricultural support services on poverty: The case of agrarian reform communities in the Philippines. In ADBI Discussion Paper 110. Asian Development Bank Institute. https://tinyurl.com/mtu98u49

World Bank (WB). (2015). Mindanao jobs report: Jobs value chain analysis.

Wulff, J. N. (2015). Interpreting results from the multinomial logit model: Demonstrated by foreign market entry. Organizational Research Methods, 18(2), 300-25. https://doi.org/10.1177/1094428114560024

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