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Analysis of Adoption of Biological Control practices in Tomato Farms of Jiroft County Using Duration Analysis

Document Type : Original Research

Authors

1 M.Sc, Dept of Agricultural Economics, Faculty of Agriculture, University of Jiroft, Iran

2 Associate Professor, Department of Agricultural Economics, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.

3 Associate Professor, Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman

Abstract

The human need for food, during recent decades has increased dependence on pesticides and chemical pesticides. Due to the destructions effect of chemical toxins, adoption of bio and non-bio technologies Identical with the sustainable agriculture such as pest control by natural enemies, is taken into consideration by agriculture researchers. so, the process of adopting biological control technology is investigated in the farms of tomato in Jiroft County during the period of 2010 until 2014. Why some farmers are faster to adopt this technology is investigated using duration analysis, which allows the timing of an event to be explored in a dynamic framework. The empirical results highlight the negative importance of age variable, and positive effect of farm size and attitude to control biologic. In this study due to the use of survival analysis model it was possible to evaluate the effect of time dependent variables include product price and years of knowledge about control biologic on speed of adoption. Therefore, it became clear that if in a year the price of the product is increase the probability of adoption is increased as well as if the farmer has been informed about biological control technology earlier the technology adoption rate increases.

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References
اسد پور، ح. 1390. بررسی عوامل مؤثر بر گسترش فناوری مبارزه بیولوژیک علیه آفت کرم ساقه خوار در مزارع برنج استان مازندران. اقتصاد کشاورزی و توسعه، 19 (76): 252-231.
امیر نژاد، ح. و رفیعی، ح. 1387. بررسی تأثیر عوامل اقتصادی- اجتماعی بر پذیرش روش­های کنترل بیولوژیک در مزارع برنج. همایش ملی برنج.
بی نام، 1392. مرکز آمار و اطلاعات وزارت جهاد کشاورزی. قابل‌دستیابی در: www.maj.ir، آخرین دسترسی: 14 بهمن 1392.
سلامی، ح. و خالدی، م. 1380. تأثیر فناوری مبارزه بیولوژیکی با آفت کرم ساقه خوار برنج بر استفاده از آفت‌کش‌ها مطالعه موردی: استان مازندران. اقتصاد کشاورزی و توسعه، 9 (33): 270 - 247.
عناستی ا. م. 1382. اثرات سوء باقیمانده آفت‌کش‌ها بر سلامت محیط زیست و انسان و راه­های مدیریت آن. ششمین همایش ملی بهداشت محیط.
Alcon, F., Carmen, M., Dolores, D.M. and ngeles Ferna, M. 2010. Adoption of soilless cropping systems in Mediterranean greenhouses: an application of duration analysis. Horculturet science, 45(2): 248–253.
Alcon, F., Dolores de Miguel, M. and Burton, M. 2011. Duration analysis of adoption of drip irrigation technology in southeastern Spain. Technological Forecasting and Social Change, 78: 991–1001.
Bradburn, M.J., Clark, T.G., Love, S.B. and Altman, D.G. 2003. Survival Analysis Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit. British Journal of Cancer, 89: 605 – 611.
Burton, M., Rigby, D. and Young, T. 2003. Modeling the adoption of organic horticultural technology in the UK using Duration Analysis. The Australian Journal of Agricultural and Resource Economics, 47: 29–54.
Collett, D. 2003. Modeling survival data in medical research. Chapman and Hall/CRC London. England.
Cox, D.R. 1972. Regression models and life-tables (with discussion), J. R. Stat. Soc., Ser. B, 30: 248–275.
Cleves, M.A., Gould, W.W. and Gutierrez, R.G. 2002. An Introduction to Survival Analysis Using Stata, Stata Corporation, College Station, TX.
De Souza Filho, H., Young, T. and Burton, M. 1999. Factors influencing the adoption of sustainable agricultural technologies: evidence from the state of Espirito Santo, Brazil. Technological Forecasting Social Change, 60 (2): 97–112. Homepage of http://healthf.kaums.ac.ir. www.kaums.ac.ir,Visited: 2015.06.05.
Dohoo, I., Tillard, E., Stryhn, H. and Faye, B. 2001. The use of multilevel models to evaluate sources of variation in reproductive performance in dairy cattle in Reunion Island. Preventive Veterinary Medicine, 50: 127 - 144.
Eddleston, M. and Phillips, M. R. 2004. Self poisoning with pesticides BMJ, 328:42-49.
Emden, F.D., Llewellyn, T.S. and Burton, M.P. 2006. Adoption of conservation tillage in Australian cropping regions: An application of duration analysis. Technological Forecasting and Social Change, 73: 630–647.
Feder, G., Just, R. and Zilberman, D. 1985. Adoption of agricultural innovations in developing countries: a survey. Economical Development Culture Change, 33: 255–297.
Gangadhar, B., Kumaresan, P.D., Somaprakash, S. and Qadri, S.M.H. 2012. Adoption of bio control methods for the control of mealy bug and uzifly in sericulture. Journal of Biological pest, 5 (Supplementary): 199-201.
Kiefer, N.M. 1988. Economic duration data and hazard functions. Journal of Economical Literature, XXVI: 646–679.
Kleinbaum, D. and Klein, M. 2005. Survival Analysis: A Self Learning Text. Springer-Verlag New York, USA.
Lancaster ,T.A. 1972. Stochastic model for the duration of a strike. Journal of the Royal Statistical Society. 135: 257–271.
Leggesse, D., Burton., M. and Ozanne, A. 2005. Duration analysis of technological adoption in ethiopian agriculture. Journal of Agricultural Economics. 55 (3): 613–631.
Mahesh, P., Paudel, K., Mishra, A. and Segarra, E. 2011. Precision farming technology adoption in cotton farming: duration analysis. Agricultural & Applied Economics Association’s 2011AAEA & NAREA Joint Annual Meeting, Pittsburgh, Pennsylvania, July 24-26.
Noorhosseini, S.A., Allahyari, M.S. and Sabouri, M.S. 2010. Factors Influencing the Adoption of Biological Control of Rice stem borer (Chilo Suppressalis) in Talesh Region, Iran. International Journal of Agricultural Science and Research. 1: 36 – 42.
Radjabi, R., Noorhosseini-Niyaki, S.A. and Masjedi, H. 2014. Socio-economic factors on adoption of biological control in Iran. Indian Journal of Fundamental and Applied Life Sciences. 4 (1): 76-81.
Schumacher, S.K., Marsh, T.L. and Williams, K.A. 2006. Optimal pest control in greenhouse production of ornamental crops. Agricultural Economics. 34:39–50.
Van Lenteren, J.C.  2000. greenhouse without pesticides: fact or fantasy?. Crop Protection, 19:375–84.
Rural Development Strategies
Volume 2, Issue 3 - Serial Number 7
November 2015
Pages 351-365
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