- About this Journal ·
- Abstracting and Indexing ·
- Advance Access ·
- Aims and Scope ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Volume 2014 (2014), Article ID 329674, 9 pages
Impact of Formal Financial Market Participation on Farm Size and Expenditure on Variable Farm Inputs: The Case of Maize Farmers in Ghana
1Department of Agricultural Economics, Agribusiness and Extension, Kwame Nkrumah University of Science and Technology,
2Department of Agricultural Economics and Agribusiness, University of Ghana, Legon, Ghana
Received 26 August 2013; Accepted 16 September 2013; Published 12 January 2014
Academic Editors: D. Dave, M. Matsui, and M. Ransom
Copyright © 2014 Dadson Awunyo-Vitor et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- S. R. Khandker and R. R. Faruqee, “The impact of farm credit in Pakistan,” Agricultural Economics, vol. 28, no. 3, pp. 197–213, 2003.
- E. Duflo, R. Glennerster, and M. Kremer, “Using randomization in development economics research,” Handbook of Development Economics, vol. 4, pp. 25–39, 2008.
- M. Ravallion, “Bailing out the world’s poorest,” Challenge, vol. 52, no. 2, pp. 55–80, 2008.
- R. Blundell and M. C. Dias, “Evaluation methods for non-experimental data,” Fiscal Studies, vol. 21, no. 4, pp. 427–468, 2000.
- S. R. Khandker, G. B. Koolwal, and H. A. Samad, Handbook on Impact Evaluation: Quantitative Methods and Practices, The world Bank, Washington, DC, USA, 2010.
- V. Owusu and A. Abdulai, “Non-farm Work and Food Security Among Farm Households in Northern Ghana,” non-farm_northern-ghana, 2009, http://www.pegnet.ifw-kiel.de/activities/research/.
- J. Becerril and A. Abdulai, “The impact of improved maize varieties on poverty in Mexico: a propensity score-matching approach,” World Development, vol. 38, no. 7, pp. 1024–1035, 2010.
- J. M. Mutua and L. N. Oyugi, “Access to financial services and poverty reduction in rural Kenya,” NEPRU Working Paper 108, 2006.
- G. Owuor, “Is micro-finance achieving its goal among smallholder farmers in Africa? Empirical evidence from Kenya using propensity score matching,” in Proceedings of the 25th International Conference of Agricultural Economists, Beijing, China, August 2009.
- Ministry of Food and Agriculture, Agriculture in Ghana Facts and Figures, MoFA Ghana, 2009.
- P. R. Rosenbaum and D. B. Rubin, “The central role of the propensity score in observational studies for causal effects,” Biometrika, vol. 70, no. 1, pp. 41–55, 1983.
- R. H. Dehejia and S. Wahba, “Causal effects in nonexperimental studies: reevaluating the evaluation of training programs,” Journal of the American Statistical Association, vol. 94, no. 448, pp. 1053–1062, 1999.
- S. O. Becker and A. Ichino, “Estimation of average participation effects based on propensity scores,” The Stata Journal, vol. 2, no. 4, pp. 358–377, 2002.
- M. Caliendo and S. Kopeinig, “Some practical guidance for the implementation of propensity score matching,” Journal of Economic Surveys, vol. 22, no. 1, pp. 31–72, 2008.
- J. A. Smith and P. E. Todd, “Does matching overcome LaLonde's critique of nonexperimental estimators?” Journal of Econometrics, vol. 125, no. 1-2, pp. 305–353, 2005.
- J. Heckman, R. LaLonde, and J. Smith, “The economics and econometrics of active labor market programs,” in Handbook of Labor Economics, O. Ashenfelter and D. Card, Eds., vol. 3, pp. 1865–2097, Elsevier, Amsterdam, The Netherlands, 1999.
- B. Sianesi, “An evaluation of the active labour market programmes in Sweden,” The Review of Economics and Statistics, vol. 86, no. 1, pp. 133–155, 2004.
- P. R. Rosenbaum, Observational Studies, Springer, New York, NY, USA, 2002.
- T. A. DiPrete and M. Gang, “Assessing bias in the estimation of causal effects: rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments,” Sociological Methodology, vol. 34, pp. 271–310, 2004.
- World Bank, Finance for All? Policies and Pitfalls in Expanding Access, World Bank, Washington, DC, USA, 2005.
- T. Jappelli, “Who is credit constrained in the U.S. economy,” Quarterly Journal of Economics, vol. 105, pp. 219–234, 1990.
- S. Steiner, Determinants of the Use of Financial Services in Rural Ghana: Implications For Social Protection, Brooks World Poverty Institute, University of Manchester, 2008.
- C. K. Chen and M. Chivakul, “What drives household borrowing and credit constraints? Evidence from bosnia Herzegovnia,” IMF Working Paper 08(202), 2008.
- M. A. Y. Rahji and S. B. Fakayode, “A multinomial logit analysis of agricultural credit rationing by commercial banks in Nigeria,” International Research Journal of Finance and Economics, vol. 1, no. 24, pp. 90–100, 2009.