COFFEE CERTIFICATION PARTICIPATION AND ITS IMPACT ON SMALLHOLDER FARMERS’ INCOME IN JIMMA ZONE, SOUTHWESTERN ETHIOPIA

Yadeta Bekele Bekere, Guta Regasa Megersa
  AGRISE,Vol 21, No 2 (2021),  87-102  
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Abstract


Certification is an instrument to add value to a product, and it addresses a growing worldwide demand for healthier and more socially and environmentally friendly products. Globally, coffee certification has received strong recognition as it is proved to increase smallholder farmers’ access to input and output markets, production, productivity and income. This study investigates the major determinants of coffee certification participation. It also analyzes the welfare gains of participation in the certification schemes by smallholder coffee growers. Both primary and secondary data were used. Primary data were collected from randomly selected 247 coffee producers. Structured questionnaires, focus group discussions and key informant interviews were employed to collect the primary data. Descriptive statistics and econometric models were used for data analysis. Probit model was used to identify factors affecting participation in coffee certification schemes. Propensity score matching technique was used to estimate the impact of coffee certification participation on smallholders’ annual revenue from coffee production. The probit model result revealed that access to training, family size, land size owned, experience in coffee production, education status were significantly determined the smallholders farmers’ participation decision in coffee certification. The propensity score matching model result also shows that participation in coffee certification significantly (p=0.001) improved farmers’ annual revenue by 2,902 Ethiopian birr compared to selling coffee without the certification schemes. This income impact is mainly attributed to the premium price the certification offer to farmers for high quality coffee. Therefore, policies or projects related to coffee value chains should target improving farmers’ access to training, boosting the access to education, working on farmers’ productivity and increasing their technical knowhow on coffee certification to increase farmers’ participation in coffee certification and to improve their annual revenue earning level in the study area.

Keywords


Certification; Coffee; Impact; Income; Propensity score matching; Smallholder farmers

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References


Abadie, A. and G.W. Imbens, 2004. Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74:235- 67.

Abdul-Jalil, M.A., 2015. Determinants of access to credit and its impact on household food security in Karaga district of the Northern region of Ghana (Doctoral dissertation).

Anderson, K. Mbuba, Eric K. Bett, Charles Ndenga and Newton Nyairo, 2018. Analysis of factors influencing microfinance credit uptake among smallholder coffee farmers in Tharaka Nithi county, Kenya. International Journal of Agricultural Extension and Rural Development ISSN 3254-5428, 6 (3) :622-627,

Baker. J. 2000. Evaluating the Impact of Development Projects on Poverty A Handbook for Practitioners. The World Bank Washington, D.C.

Becker, S. and A. Ichino, 2002. Estimation of average treatment effects based on propensity scores. The Stata Journal 2(4): 358 -377.

Berhanu Lakew 2003, Prospects for Export Diversification in Ethiopia, NBE Staff Working Paper ERD/SWP/007/2003

Caliendo, M. and Kopeinig, S. 2008. Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, Vol. 22, (2008), 31–72.

CSA, 2017. Report on Area and production of Major Crops. The Federal Democratic Republic of Ethiopia; Central Statistics Agency Agricultural Sample Survey for 2016/2017 Addis Ababa, Ethiopia., 1, 1-125

CSA, 2019. Report on Area and Production of Major Crops (Private Peasant Holdings, Meher Season) for 2018/19. Central Statistical Agency (CSA), Statistical Bulletin 589, Volume I, Addis Ababa, Ethiopia.

Djoumessi, Y.F., Kamdem, C.B., Afari-sefa, V. and Bidogeza, J.C., 2018. Determinants of Smallholder Vegetable Farmers Credit Access and Demand in Southwest region, Cameroon. Economics Bulletin, 38(2) :1231-1240.

Dehejia, R. and Wahba, S., 2002. Propensity Score Matching Methods for Non- Experimental

GAIN Report, 2014. Coffee Annual report, Ethiopia.

Grote, U. 2009. Environmental Labeling. Protected Geographical Indications and the Interests of Developing Countries. The Estey Centre Journal of International Law and Trade Policy 10(1), pp.94-110.

Grote, U., Basu, A.K. and Chau, N. (eds.) 2007. New Frontiers in Environmental and Social Labeling.Physica Publisher, Heidelberg.

Heckman, J. 1998. Sample Selection Bias as a Specification error. Econometrica, Volume 47, Issue 1, 153-162.

ICO. 2019. Growing Prosperity - Economic viability as the catalyst for a sustainable coffee sector, London.

Kasente, D. 2012. Fair Trade and organic certification in value chains: lessons from a gender analysis from coffee exporting in Uganda. Gender and Development (20).

Kifle, D., Tadesse, Y., Belay, S. and Yusuf, J., 2013. Determinants of women’s participation in microfinance services: empirical evidence from Rural Dire Dawa, Ethiopia. African Journal of Agricultural Economics and Rural Development, 1(1):1-7.

Orebiyi, J.S; Henri-Ukoha, A, Ben-Chendo N.G, Tasie C.M and Ekine D.I 2012: Determinants of credit supplied by IFAD to rural farmers beneficiaries in Rivers State, Nigeria. International Journal of Agricultural Economics, Management and Development 2;84-76.

Ponte, S. 2004. Standards and Sustainability in the Coffee Sector: A Global Value Chain Approach. Winnipeg, International Institute for Sustainable Development.

Ravallion, 2005. The World Bank Research Program, 2005-2007: Abstracts of Current Studies

Rosenbaum, P.R., and D.B. Rubin, 1983.The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, 70 (1): 41-45.

Roberts, L.C., Otieno, D.J. and Nyikal, R.A., 2017. An analysis of determinants of access to and use of credit by smallholder farmers in Suakoko District, Liberia. African Journal of Agricultural Research, 12(24) :.2093-2100.

Ruben and Fort, 2012. The Impact of Fair Trade Certification for Coffee Farmers in Peru

Samuel Elias, Isah Musa Ahmad, and Patil B.L., 2015.The Determinants of access to Agricultural credit for small and Marginal Farmers’ in Dharwad district, Karnataka, India. Research Journal of Agriculture and Forestry Science. 3(5):1-5.

Samuel S., 2010. Credit Default Risk and its Determinants of Microfinance Industry in Ethiopia.

Saqib, S.E., Kuwornu, J.K., Panezia, S. and Ali, U., 2018. Factors determining subsistence farmers' access to agricultural credit in flood-prone areas of Pakistan. Kasetsart Journal of Social Sciences, 39(2): 262-268.

Smith, J. and Todd, P., 2005. Does Matching Overcome LaLonde’s Critique of Non-experimental Estimators? Journal of Econometrics, 125(1–2): 305–353.

Tang, S., Guan, Z., and Jin, S., 2010. Formal and informal credit markets and rural credit demand in China. Paper presented at the Agricultural and Applied Economics Association. AAEA, CAES and WAEA joint annual meeting, Denvere, Colorado, July 25-27, 2010.

UNDP (United Nation Development Programme), 2009. African Economic. Website Outlook.www.african economic outlook.org.

Vavilov, N.I. 1951. The Origin, Variation, Immunity and Breeding of Cultivated Plants (Translated by S. K. Chestitee). Chronica Botonica, 13, 1-366.




DOI: https://doi.org/10.21776/ub.agrise.2021.021.2.2

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