Abstract
Khuzestan Province is one of the largest hubs of agricultural production, and consequently is one of the largest consumers of chemical pesticides and fertilizers in the country. Integrated pest management can be an effective step toward reducing pesticide use, protect human health, and the environment. Due to the fact that owner and non-owner have different economical–social conditions, it is expected that they have two different sets of priorities in implementing of the operation. To study the effective factors on willingness to pay to reduce risks of environmental pesticides for two groups, endogenous switching method leads to better results. The problem with this method is incorrect normal distribution assumption for residuals. Therefore, in this study to cope with this problem, we applied endogenous switching copula approach which allows us to use different marginal distributions and leads to accurate results. The results showed that the logistic distribution for decision equation’s residual and Student’s t-distribution for willingness to pay equation’s residual are better than normal distribution. In addition, the average treatment effect results showed that owners have more willingness to pay than non-owners; hence, different factors effect on willingness to pay for two groups. The knowledge factor has a positive effect on the willingness to pay in the two groups; thus, giving information about the harmful effects of chemical pesticides and visiting the control farms can be effective. The income factor is insignificant in owners’ equation and has less effect in non-owners; it shows that the two groups are unaware of the benefits of such operation; hence, by raising awareness of the utility and demand of organic agricultural products, the policymakers can encourage the farmers to reduce the pesticides use. Owners have more motivation for this kind of operation, because they can utilize the long-run benefit. Hence, legislation about long-run rental contract and utilization of tax punishment for excessive use of pesticides can encourage non-owner to implement this operation.
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Notes
- 1.
The preharvest interval (PHI) is the wait time that must lapse after a pesticide application to a crop ready to be harvested (National Pesticide Information Center (NPIC) 2019).
- 2.
Khuzestan Province is one of the most important agricultural production areas in Iran. It is in the southwest of the country, bordering Iraq and the Persian Gulf and has the highest cereal production (13.12%) in the country (Ministry of Agriculture Jihad 2018).
References
Adeli M, Khodaverdizadeh M, Hayati B (2017) Application of ordered logit model to determine factors affecting adoption of integrated pest management practices among greenhouse owners in Jiroft county. J Sci Technol Greenhouse Cult 8(3):107–119
Alwang J, Norton G, Larochelle C (2019) Obstacles to widespread diffusion of IPM in developing countries: lessons from the field. J Integr Pest Manage 10(1):1–8
Anonymous (2007) Point of views agricultural organizations in reducing consume of pesticide and implementation biological control project. Reported the Second Gathering of Head of Agricultural Organizations Provinces of Iran
Babendreier D, Wan M, Tang R, Gu R, Tambo J, Liu Z, Grossrieder M, Kansiime M, Wood A, Zhang F, Romney D (2019) Impact assessment of biological control-based integrated pest management in rice and maize in the greater Mekong subregion. Insects 10(226):2–16
Beckmann V, Wesseler J (2003) How labor organization may affect technology adoption: an analytical framework analyzing the case of integrated pest management. Environ Dev Econ 8(3):437–450
Birungi PB (2007) The linkage between land degradation, poverty and social capital in Uganda. Ph.D. Thesis, Faculty of Agricultural Economics, Extension and Rural Development, University of Pretoria, South Africa
Carlberg E, Kostandini G, Dankyi A (2012) The effects of integrated pest management techniques (IPM) farmer field schools on groundnut productivity: evidence from Ghana. Selected Paper Prepared for Presentation at the Agricultural and Applied Economics Association
Dhawan AK, Singh S, Kumar S (2009) Integrated pest management (IPM) helps reduce pesticide load in cotton. J Agric Sci Technol 11(5):599–611
Farid S, Pourkhaton M, Lori Z (2015) Integrated pest management in greenhouses. Ministry of Agriculture-Jahad Agriculture Organization of Kerman Province, Kerman Agricultural Promotion Coordination Management, pp 1–16
Food and Agriculture Organization of the United Nations (2017) Integrated pest management of major pests and diseases in Eastern Europe and the Caucasus
Gajanana TM, Krishna Moorthy PN, Anupama HL, Raghunatha R, Prasanna Kumar GT (2006) Integrated pest and disease management in tomato: an economic analysis. Agric Econ Res Rev 19:269–280
Gallardo R, Wang Q (2013) Willingness to pay for pesticides’ environmental features and social desirability bias: the case of apple and pear growers. J Agric Resource Econ 38(1):124–139
Gautam S, Schreinemachers P, Uddin MN, Srinivasan R (2017) Impact of training vegetable farmers in Bangladesh in integrated pest management (IPM). Crop Protect 102:161–169
Hasebe T (2013) Copula-based maximum-likelihood estimation of sample-selection models. Stata J 13(3):547–573
Hasebe T, Vijverberg W (2012) A Flexible sample selection model: a GTL-copula approach. IZA Discussion Paper No. 7003
Hossein Zad J, Shorafa S, Dashti GH, Hayati B, Kazemiyeh F (2010) An economic evaluation of the environmental benefits from pesticides reduction program in Khuzestan province. J Agric Sci Sustain 20(4):101–112
Humayun Kabir M, Rainis R (2015) Adoption and intensity of integrated pest management (IPM) vegetable farming in Bangladesh: an approach to sustainable agricultural development. Environ Dev Sustain 17(6):1413–1429
Leanne M, Mullen J, Stevens M (2008) An evaluation of the economic, environmental and social impact of investments in IPM research in invertebrate rice pests. Economic Research Report No. 41. https://www.ageconsearch.umn.edu
Lee LF (1983) Generalized econometric models with selectivity. Econometrical 51:507–512
Ministry of Agriculture-Jihad Statistic Information, Agricultural Statistical Yearbook (2018) Available at https://www.maj.ir
National pesticide information center (NPIC) (2019) Preharvest interval (PHI). Available at https://www.npic.orst.edu
Neill SP, Lee DR (1999) Explaining the adoption and disadoption of sustainable agriculture: the case of cover crops in northern Honduras. Department of agriculture resource and managerial economics, Cornell University working paper 31
Nelson RB (1998) An introduction to copulas. Lecture Notes in Statistics. Springer, New York
Pimentel D (1991) CRC handbook of pest management in agriculture. CRC Press, Boca Raton, p 784
Pishbahar E, Hosseinzad J, Abedi S, Bageri P (2019) Willingness to pay for IPM: an application of the Heckman-Copula approach. In: Rashidghalam M (eds) Sustainable agriculture and agribusiness in Iran. Perspectives on development in the Middle East and North Africa (MENA) Region. Springer, Singapore
Pretty J, Bharucha Z (2015) Integrated pest management for sustainable intensification of agriculture in Asia and Africa. Insects 6(1):152–182
Rahman M, Norton G, Rashid M (2018) Economic impacts of integrated pest management on vegetables production in Bangladesh. J Crop Protect 113:6–14
Rasul G, Thapa G (2004) Sustainability of ecological and conventional agricultural systems in Bangladesh: an assessment based on environmental, economic and social perspectives. Agric Syst 79:327–351
Smith MD (2003) Modelling sample selection using archimedean copulas. Econometrics J 6:99–123
Surangsri W, Suraphol C, Nunta B (2005) Factors affecting the adoption and non-adoption of sloping land conservation farming practices by small-scale farmers in Thailand. Report the Swiss Agency for Development and Cooperation (SDC) Bankok, Tailand
Tatlidil FF, Boz I, Tatlidil H (2009) Farmer’s perception of sustainable agriculture and its determinants: a case study in Kahramanmaras province of Turkey. Environ Dev Sustain 11:1091–1106
Trivedi PK, Zimmer DM (2005) Copula modeling: an introduction for practitioners. Found Trends Econometrics 1(1): Now Publishers
Wandji N, Juliusa L, Gockowskia J, Isaacb T (2006) Socio-economic impact of a cocoa integrated crop and pest management diffusion knowledge through a farmer field school approach in southern Cameroon. In: Presentation at the international association of agricultural economists conference, Gold Coast, Australia
Wichian A, Sriboonchitta S (2014) Econometric analysis of private and public wage determination for older workers using a copula and switching regression. Thai J Math 111–128
Yazdi Z, Sarreshtedari M, Zohal MA (2010) Respiratory disease in workers exposed to organophosphate materials. J School Med 53(4):206–213
Zahangeer Alam M, Crump AR, Haque M, Islam S, Hossain E, Hasan S, Hasan SH, Hossain S (2016) Components in a rice agro-ecosystem in the Barisal Region of Bangladesh. Front Environ Sci 4:1–10
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Abedi, S., Bagheri, P., Pishbahar, E. (2020). Adoption of IPM by Farmland Owners and Non-owners: Application of Endogenous Switching Copula Approach. In: Rashidghalam, M. (eds) The Economics of Agriculture and Natural Resources. Perspectives on Development in the Middle East and North Africa (MENA) Region. Springer, Singapore. https://doi.org/10.1007/978-981-15-5250-2_7
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