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Factors Affecting Credit Use for Fruit Farms: The Case of Bursa

Yıl 2020, Cilt: 14 Sayı: 41, 81 - 89, 11.11.2020

Burcu Erdal , Tolga Tipi

Öz

One of the basic principles of economic development is to increase agricultural production. To increase agricultural production, technological and biological innovations must be implemented by the farmers. However, the capital accumulation required for the implementation of these innovations is not sufficient, especially in small family farms. To provide production inputs and to apply new production techniques and methods, the farmers find the necessary capital by using agricultural credit. Therefore, agricultural financing is critical for the development and growth of the agricultural sector. This study aims to determine the credit usage levels and factors affecting credit usage of fruit growing farms in the province of Bursa, Turkey. For this purpose, a face-to-face survey was conducted with 57 fruit growing farms in the central districts of the province of Bursa. According to the results of the analysis of the data obtained from the surveys, age of the household head, farmers’ education level, the maturity of credit and the number of types of cultivated crops were determined to be effective on the credit usage level of fruit growing farms.

Anahtar Kelimeler

Credit Use Agricultural Finance Access to Credit

Kaynakça

  • Barry, P.J.; Robison, L.J. 2001. Agricultural finance: Credit, credit constraints, and consequences, Handbook of Agricultural Economics, Volume 1, Part A, Pages 513-571.
  • Cole, S.2009. Fixing Market Failures or Fixing Elections? Agricultural Credit in India, Amerıcan Economıc Journal: Applıed Economıcs, 1 (1): 219-250
  • Dreher, A.; Fuchs, A.; Parks, B.; Strange, A.M.; Tierney, M.J.2018. Apples and Dragon Fruits: The Determinants of Aid and Other Forms of State Financing from China to Africa, International Studies Quarterly, Volume 62, Issue 1, Pages 182–194.
  • Gans, J.; Stern, S. 2003.When does funding research by smaller firms bear fruit?: Evidence from the SBIR program, Journal Economics of Innovation and New Technology, Volume 12, Issue 4.
  • Hardesty, S.D.; Salgia, V.D. 2004. Comparative Financial Performance of Agricultural Cooperatives and Investor-Owned Firms, ageconsearch.umn.edu
  • Myers, L.; Sirois, M.J. 2006. Spearman Correlation Coefficients, Differences between, Encyclopedia of statistical sciences.
  • Newbold, P.1995. Statistics for Business and Economics. Prentice Hall Int.,USA, 764 pp.
  • Palinkas, L.A.; Horwitz, S.M.; Green, C.A.; Wisdom, J.F.; N Duan, N.; Hoagwood,K .2015. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research, Administration and Policy in Mental Health and Mental Health Services Research, Volume 42, Issue 5, pp 533–544.
  • Telmo, C.; J. Lousada, N. Moreira.2010. Corrigendum to ‘‘Proximate analysis, backwards stepwise regressionbetween gross calorific value, ultimate and chemical analysis of wood, Bioresource Technology, 101 (2010) 3808–3815.
  • Weber, R.; O. Musshoff.2012.Is agricultural microcredit really more risky? Evidence from Tanzania, Agricultural Finance Review, Vol. 72 No. 3,pp. 416-435.
  • Reyes, A.; R. Lensink, A. Kuyvenhoven; H. Moll.2012. Impact of Access to Credit on Farm Productivity of Fruit and Vegetable Growers in Chile. International Association of Agricultural Economists (IAAE) Triennial Conference, Foz do Iguaçu, Brazil, 18-24 August.
  • Ekwere, G. E.;I. D. Edem. 2014.Evaluation of Agricultural Credit Facility in Agricultural Production and Rural Development. Global Journal Of Human-Social Science: B Geography, Geo-Sciences, Environmental Disaster Management Vol. 14 Issue 3.
  • Quartey, P.; C. Udry, S. Al-Hassan, H. Seshie.2012. Agricultural Financing and Credit Constraints: The Role Of Middlemen In Marketing And Credit Outcomes In Ghana. Instıtute Of Statistical, Social & Economic Research (Isser) Working Paper, 31p.
  • Temesgen, F.; H. Duguma; C. Hailu.2018. Factors affecting credit use for rural farming at household level: Evidence from small holder farmers’ of Toke-Kutaye district. Journal of Agricultural Economics and Development Vol. 7(2), pp. 007-012.
  • Brewer, B.E.; J.S. Bergtold; A. M. Featherstone; C.A. Wilson.2019. Farmers’ Choice of Credit among the Farm Credit System, Commercial Banks, and Nontraditional Lenders. Journal of Agricultural and Resource Economics 44(2):362–379.
  • Ahmad, N.2011. Impact of institutional credit on agricultural output: A case study of Pakistan. Theoretical and Applied Economics, 10(10), 99-120.
  • Balogun, O. L.; Yusuf, S. A.2011. Determinants of demand for microcredit among the rural households in South-Western States, Nigeria. Journal of Agriculture and Social Sciences, 7, 41-48.
  • Barslund, M.; Tarp, F.2008. Formal and informal rural credit in four provinces of Vietnam. The Journal of Development Studies, 44(4), 485-503.
  • Bose, P.1998. Formal–informal sector interaction in rural credit markets. Journal of Development Economics, 56(2), 265-280, 1998.
  • Das, A.; Senapati, M.;John, J.2009. Impact of agricultural credit on agriculture production: An empirical analysis in India. Reserve Bank of India Occasional Papers, 30(2), 75-107.
  • Gandhimathi, S.; Vanitha, S.2010. Determinants of borrowing behaviour of farmers–A comparative study of commercial and co-operative banks. Agricultural Economics Research Review, 23(1), 157-164.
  • Nouman, M.; Siddiqi, M. F.; Asim, S. M.; Hussain, Z.2013. Impact of Socio-Economic Characteristics of Farmers on Access to Agricultural Credit. Sarhad Journal of Agriculture, 29(3), 469-476.
  • Katchova, A.2005. Factors affecting farm credit use. Agricultural Finance Review, Vol. 65 No. 2, pp. 17-29.

Yıl 2020, Cilt: 14 Sayı: 41, 81 - 89, 11.11.2020

Burcu Erdal , Tolga Tipi

Öz

Kaynakça

  • Barry, P.J.; Robison, L.J. 2001. Agricultural finance: Credit, credit constraints, and consequences, Handbook of Agricultural Economics, Volume 1, Part A, Pages 513-571.
  • Cole, S.2009. Fixing Market Failures or Fixing Elections? Agricultural Credit in India, Amerıcan Economıc Journal: Applıed Economıcs, 1 (1): 219-250
  • Dreher, A.; Fuchs, A.; Parks, B.; Strange, A.M.; Tierney, M.J.2018. Apples and Dragon Fruits: The Determinants of Aid and Other Forms of State Financing from China to Africa, International Studies Quarterly, Volume 62, Issue 1, Pages 182–194.
  • Gans, J.; Stern, S. 2003.When does funding research by smaller firms bear fruit?: Evidence from the SBIR program, Journal Economics of Innovation and New Technology, Volume 12, Issue 4.
  • Hardesty, S.D.; Salgia, V.D. 2004. Comparative Financial Performance of Agricultural Cooperatives and Investor-Owned Firms, ageconsearch.umn.edu
  • Myers, L.; Sirois, M.J. 2006. Spearman Correlation Coefficients, Differences between, Encyclopedia of statistical sciences.
  • Newbold, P.1995. Statistics for Business and Economics. Prentice Hall Int.,USA, 764 pp.
  • Palinkas, L.A.; Horwitz, S.M.; Green, C.A.; Wisdom, J.F.; N Duan, N.; Hoagwood,K .2015. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research, Administration and Policy in Mental Health and Mental Health Services Research, Volume 42, Issue 5, pp 533–544.
  • Telmo, C.; J. Lousada, N. Moreira.2010. Corrigendum to ‘‘Proximate analysis, backwards stepwise regressionbetween gross calorific value, ultimate and chemical analysis of wood, Bioresource Technology, 101 (2010) 3808–3815.
  • Weber, R.; O. Musshoff.2012.Is agricultural microcredit really more risky? Evidence from Tanzania, Agricultural Finance Review, Vol. 72 No. 3,pp. 416-435.
  • Reyes, A.; R. Lensink, A. Kuyvenhoven; H. Moll.2012. Impact of Access to Credit on Farm Productivity of Fruit and Vegetable Growers in Chile. International Association of Agricultural Economists (IAAE) Triennial Conference, Foz do Iguaçu, Brazil, 18-24 August.
  • Ekwere, G. E.;I. D. Edem. 2014.Evaluation of Agricultural Credit Facility in Agricultural Production and Rural Development. Global Journal Of Human-Social Science: B Geography, Geo-Sciences, Environmental Disaster Management Vol. 14 Issue 3.
  • Quartey, P.; C. Udry, S. Al-Hassan, H. Seshie.2012. Agricultural Financing and Credit Constraints: The Role Of Middlemen In Marketing And Credit Outcomes In Ghana. Instıtute Of Statistical, Social & Economic Research (Isser) Working Paper, 31p.
  • Temesgen, F.; H. Duguma; C. Hailu.2018. Factors affecting credit use for rural farming at household level: Evidence from small holder farmers’ of Toke-Kutaye district. Journal of Agricultural Economics and Development Vol. 7(2), pp. 007-012.
  • Brewer, B.E.; J.S. Bergtold; A. M. Featherstone; C.A. Wilson.2019. Farmers’ Choice of Credit among the Farm Credit System, Commercial Banks, and Nontraditional Lenders. Journal of Agricultural and Resource Economics 44(2):362–379.
  • Ahmad, N.2011. Impact of institutional credit on agricultural output: A case study of Pakistan. Theoretical and Applied Economics, 10(10), 99-120.
  • Balogun, O. L.; Yusuf, S. A.2011. Determinants of demand for microcredit among the rural households in South-Western States, Nigeria. Journal of Agriculture and Social Sciences, 7, 41-48.
  • Barslund, M.; Tarp, F.2008. Formal and informal rural credit in four provinces of Vietnam. The Journal of Development Studies, 44(4), 485-503.
  • Bose, P.1998. Formal–informal sector interaction in rural credit markets. Journal of Development Economics, 56(2), 265-280, 1998.
  • Das, A.; Senapati, M.;John, J.2009. Impact of agricultural credit on agriculture production: An empirical analysis in India. Reserve Bank of India Occasional Papers, 30(2), 75-107.
  • Gandhimathi, S.; Vanitha, S.2010. Determinants of borrowing behaviour of farmers–A comparative study of commercial and co-operative banks. Agricultural Economics Research Review, 23(1), 157-164.
  • Nouman, M.; Siddiqi, M. F.; Asim, S. M.; Hussain, Z.2013. Impact of Socio-Economic Characteristics of Farmers on Access to Agricultural Credit. Sarhad Journal of Agriculture, 29(3), 469-476.
  • Katchova, A.2005. Factors affecting farm credit use. Agricultural Finance Review, Vol. 65 No. 2, pp. 17-29.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Tarımsal Biyoteknoloji (Diğer)
Bölüm Makaleler
Yazarlar

Burcu Erdal

Tolga Tipi

Yayımlanma Tarihi 11 Kasım 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 14 Sayı: 41

Kaynak Göster

APA Erdal, B., & Tipi, T. (2020). Factors Affecting Credit Use for Fruit Farms: The Case of Bursa. Journal of Biological and Environmental Sciences, 14(41), 81-89.
AMA Erdal B, Tipi T. Factors Affecting Credit Use for Fruit Farms: The Case of Bursa. JBES. Kasım 2020;14(41):81-89.
Chicago Erdal, Burcu, ve Tolga Tipi. “Factors Affecting Credit Use for Fruit Farms: The Case of Bursa”. Journal of Biological and Environmental Sciences 14, sy. 41 (Kasım 2020): 81-89.
EndNote Erdal B, Tipi T (01 Kasım 2020) Factors Affecting Credit Use for Fruit Farms: The Case of Bursa. Journal of Biological and Environmental Sciences 14 41 81–89.
IEEE B. Erdal ve T. Tipi, “Factors Affecting Credit Use for Fruit Farms: The Case of Bursa”, JBES, c. 14, sy. 41, ss. 81–89, 2020.
ISNAD Erdal, Burcu - Tipi, Tolga. “Factors Affecting Credit Use for Fruit Farms: The Case of Bursa”. Journal of Biological and Environmental Sciences 14/41 (Kasım 2020), 81-89.
JAMA Erdal B, Tipi T. Factors Affecting Credit Use for Fruit Farms: The Case of Bursa. JBES. 2020;14:81–89.
MLA Erdal, Burcu ve Tolga Tipi. “Factors Affecting Credit Use for Fruit Farms: The Case of Bursa”. Journal of Biological and Environmental Sciences, c. 14, sy. 41, 2020, ss. 81-89.
Vancouver Erdal B, Tipi T. Factors Affecting Credit Use for Fruit Farms: The Case of Bursa. JBES. 2020;14(41):81-9.

Journal of Biological and Environmental Sciences is the official journal of Bursa Uludag University

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