Opium Supply Control Policies in Afghanistan: A Case Study OF Daykundi Province, Kiti District

Document Type : Research Paper

Authors

1 Msc of Agricultural Economics, College of Agriculture, Shiraz University, Shiraz, Iran

2 Professor of Agricultural Economics, College of Agriculture, Shiraz University, Shiraz, Iran

3 Assistant Professor of Agricultural Economics, College of Agriculture, Shiraz University, Shiraz, Iran

Abstract

The opium poppy cultivation is one of the many problems that Afghanistan is facing nowadays. To address this problem, many strategies such as eradication, interdiction and alternative livelihood opportunities have been adopted. But, it is a well-established fact that these efforts have not been successfully proved as they were envisaged when started. It is believed that cultivation of opium poppy will automatically contract by enhancing licit livelihood opportunities. But, alternative livelihood development has failed to recognize the different motivations and factors that influence household's decision to cultivate illicit drug crops and ignored the fact that these motivation and factor differ across households from different socio-economic group in different areas of Afghanistan. The goal of this study was to examine opium cultivation alternative policies using positive mathematical programming (PMP) model at representative farm (RF) level. PMP has been improved to overcome normative character of optimization models. Therefore, PMP is highly practical for analyzing the consequences of agricultural policies as long as enough empirical data are available for calibration of the model. A linear programming model was used for the RF of homogenous groups when no empirical data was available. Farm level data were obtained from a sample of poppy farmers in the Kiti district of Daykundi province. A two stage cluster sampling was used to select the sample farmers. At the first stage, a cluster of seven villages. In the second stage, by a simple random sampling method, 132 poppy producers were chosen for interview and collection of necessary farm level data. The results showed that opium is the only cash crop in contrast with other crops which are cultivated primarily to meet subsistence requirements. The exclusion of opium had significant effects on farmers' income and decreased their gross margins by 34.7 to 68 percents. Results also indicated that saffron is a serious alternative for opium poppy particularly at the representative farm of group 2 under current conditions. But, the retail margin for the poppy is very high and if a part of this margin assign to poppy farmers, none of the crop can compete against opium poppy. In other words, saffron cannot be an alternative crop if the farm gate price of poppy becomes eighty thousand Afghanis per Man (Approximately 1Man=5 kilos). Finally, it was found that price and non-price policies of wheat and corn can alleviate economic effects of poppy interdiction.

Keywords

Main Subjects


Atance, M. I. and H. J. Barreiro. (2006) CAP MTR versus environmentally targeted agricultural policy in marginal arable areas: Impact analysis combining simulation and survey data. Agricultural Economics. 34: 303-313.
Bittner, B., Kerekgyarto, A.M. Orosz, T. and Borsos, J. (2009) Difficulties of diversification and alternative crops to tobacco in the European union. 4th Aspects and Visions of Applied Economics and Informatics. March 26 – 27, Debrecen, Hungary.
Buysse, J., G. V. Huylenbroeck and L. Lauwers. (2007) Normative, positive and econometric mathematical programming as tools for incorporating of multifunctionality in agricultural policy modeling. Agriculture, Ecosystem and Environment. 120: 70-81.
Golan, A., G. and Perloff, J. M. (1996) Maximum entropy econometrics: Robust Estimation with Limited Data. John Wiley & Sons, New-York.
Hadi, P.U. Kustiari, R. and Anugrah, I.S. (2008) Case study of tobacco cultivation and alternate crops in Indonesiab.research paper. Indonesian center for agricultural socio-economic and policy studies. Department of Agriculture, Jakarta.    
Heckelei, T. and Britz, W. (2000) Positive mathematical programming with multiple data points: A cross-sectional estimation procedure. Cahiers d'Economie et Sociologie Rurales. 57: 28-50.
Howitt, R.E. (1995) Positive mathematical programming. American Journal of Agricultural Economics. 77: 329-342.
Howitt, R. E. (2002) Optimization model building in economics. Department of Agricultural Economics. University of California, Davis: [Online].<www.agecon.ucdavis.edu/people/faculty/facultydocs/Howitt/252notes.pdf<
Howitt, R. E. and Reynaud, A. (2003) Spatial disaggregation of agricultural production data using maximum entropy. European Review of Agricultural Economics. 30(3): 359-378.
Manos, B., T. Bournaris, J. Papathanasiou, P. and Chatzinikolaou, P. (2008) Evaluation of tobacco cultivation alternatives under the EU common agricultural policy (CAP). Journal of Policy Modeling. 31: 225–238.
Mohseni, A. (2008) Analysis of the Consequences of Increasing the Rangeland Area and Related Policies in Waddan Plain of Fars Province: Application of Positive Planning Model. Master thesis, Shiraz University, Shiraz.
Paris, Q. and Howitt, R.E. (1998) An analysis of ill-posed problems using maximum entropy. American Journal of Agricultural Economics. 80(1): 124- 138.
Planning Expert Provincial Afghanistan. (2007). Daikundi province.
Persian Dari Radio website. (2006) The political conference on the importance of alternative drug cultivation in Afghanistan.
Röhm, O. and Dabbert, S. (2003) Integrating agri-environmental programs into regional production models: An extension of positive mathematical programming. American Journal of Agricultural Economics. 85(1): 254-265.
Soltani, Gh.R., Zibaei, M., and Kahkha, A. (1999) Application of mathematical planning in agriculture. Agricultural Research, Education and Promotion Organization, Tehran, Iran
Zibaei, M., Soltani, Gh.R and Kahkha,. A. (1998) Investigating the Consequences of Increasing the Surface Area and Income of Farmers in Fars Province. Science and Technology of Agriculture and Natural Resources, Volume 2, (4): 31-15.
 UNODC (United Nations Office on Drugs and Crime) and Ministry Of Counter Narcotics, (2013, 2016) Afganistan Opium Survey, 2013,. retrieved from / www.unodc.org/
United Nations, (2010 and 2016) United Nations Office on Drugs and Crime. Annual drug screening in Afghanistan.