Ranking provinces based on development scale in agriculture sector using taxonomy technique

Abstract: The purpose of this paper is to determine comparative ranking of agricultural development in different provinces of Iran using taxonomy technique. The independent variables are amount of annual rainfall amount, the number of permanent rivers, the width of pastures and forest, cultivated level of agricultural harvests and garden harvests, number of beehives, the number of fish farming ranches, the number of tractors and combines, the number of cooperative production societies, the number of industrial cattle breeding and aviculture. The results indicate that the maximum development coefficient value is associated with Razavi Khorasan province followed by Mazandaran, East Azarbayjan while the minimum ranking value belongs to Bushehr province.

How to cite this paper

 Rostampour, S. (2012). Ranking provinces based on development scale in agriculture sector using taxonomy technique.Management Science Letters , 2(5), 1813-1818.

Refrences

Chen, Z., & Song, S. (2009). Efficiency and technology gap in China & apos; s agriculture: A regional meta-frontier analysis. China Economic Review, 19(2), 287-296.

Hoang, V.N., & Rao, D.S.P. (2010). Measuring and decomposing sustainable efficiency in agricultural production: A cumulative exergy balance approach. Ecological Economics, 69(9), 1765-1776

Hu, J.L., Wang, S.C., & Yeh, F.Y. (2006). Total-factor water efficiency of regions in China. Resources Policy, 31(4), 217-230.

Judd, W.S., Campbell, C.S., Kellog, E.A., Stevens, P.F., & Donoghue, M.J. (2007). Taxonomy. In Plant Systematics - A Phylogenetic Approach, 3rd Ed. Sinauer Associates, Sunderland.

Mao, W., & Koo, W.W. (1997). Productivity growth, technological progress, and efficiency change in chinese agriculture after rural economic reforms: A DEA approach. China Economic Review, 8(2), 157-174.

Marti?, M., & Savi?, G. (2001). An application of DEA for comparative analysis and ranking of regions in Serbia with regards to social-economic development. European Journal of Operational Research, 132(2), 343-356.

Murshed-E-Jahan, K., & Pemsl, D.E. (2011). The impact of integrated aquaculture–agriculture on small-scale farm sustainability and farmers’ livelihoods: Experience from Bangladesh. Agricultural Systems, 104(5), 392-402.

Picazo-Tadeo, A.J., G?mez-Lim?n, J.A., & Reig-Mart?nez, E. (2011). Assessing farming eco-efficiency: A Data Envelopment Analysis approach. Journal of Environmental Management, 92(4), 1154-1164.

Reith, C.C., & Guidry, M.J. (2003). Eco-efficiency analysis of an agricultural research complex. Journal of Environmental Management, 68(3), 219-229

Sadjadi, S.J., Omrani, H., Abdollahzadeh, S., Alinaghian, M., & Mohammadi,H. (2011). A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran. Expert Systems with Applications, 38(9), 10875-10881.

Sueyoshi, T. (1999). DEA non-parametric ranking test and index measurement: slack-adjusted DEA and an application to Japanese agriculture cooperatives. Omega, 27(3), 315-326.

Sultana, A., & Kumar, A. (2012). Ranking of biomass pellets by integration of economic, environmental and technical factors. Biomass and Bioenergy, 39, 344-355.