- Abbas, A., Zhao, C., Waseem, M., Ahmed khan, K., & Ahmad, R. (2022). Analysis of energy input–output of farms and assessment of greenhouse gas emissions: A case study of cotton growers [Community case study]. Frontiers in Environmental Science, 9. https://doi.org/10.3389/fenvs.2021.826838
- Abdi Rokni, K., Abedi, S., & Kashiri Kolaei, F. (2019). Effect of optimization of chemical fertilizers consumption on optimal cropping pattern in the framework of positive mathematical programming (Case study of Sari Goharbaran). Agricultural Economics Research, 11(42), 263-276.
- Agriculture-Jahad, M.O. (2023). Statistics of crop production. Dputy of Planning and economy.
- Alijani, F., & Azadegan, E. (2018). Analysis of pricing policy agricultural products. Agricultural Economics Research, 10(40), 85-104.
- Arfini, F., Donati, M., & Paris, Q. (2003). A national PMP model for policy evaluation in agriculture using micro data and administrative information. International Conference on Agricultural Policy Reform and the WTO: Where are we heading. Capri, Italy.
- Bakhshi, M.R., Peykani, G., Hosseini, S.S., & Saleh, I. (2010). Evaluating effects of removing fertilizer subsidy and direct payment polices on cropping pattern and inputs use (Case study: Agronomy subsector of Sabzevar Township). Agricultural Economics, 4(2), 185-207.
- Baldi, L., Arfini, , Calzolai, S., & Donati, M. (2023). CAP reform and GHG emissions: policy assessment using a PMP agent-based model Research in Agricultural & Applied Economics. https://doi.org/10.36253/bae-14592
- Balezentis, T., Chen, X., Galnaityte, A., & Namiotko, V. (2020). Optimizing crop mix with respect to economic and environmental constraints: An integrated MCDM approach. Science of The Total Environment, 705, 135896. https://doi.org/10.1016/j.scitotenv.2019.135896
- Bigdeli, s., Ebrahimi, K., Davudirad, A., & Hoorfar, A. (2024). Evaluation of the Zarandieh Saveh aquifer sustainability, Iran. Iranian Journal of Irrigation & Drainage, 17(5), 817-830.
- Buysse, J., Van Huylenbroeck, G., & Lauwers, L. (2007). Normative, positive and econometric mathematical programming as tools for incorporation of multifunctionality in agricultural policy modelling. Agriculture, Ecosystems & Environment, 120(1), 70-81. https://doi.org/10.1016/j.agee.2006.03.035
- Chen, Y.-H., Chen, M.-X., & Mishra, A.K. (2020). Subsidies under uncertainty: Modeling of input- and output-oriented policies. Economic Modelling, 85, 39-56. https://doi.org/10.1016/j.econmod.2019.05.005
- Cortignani, R., & Dono, G. (2015). Simulation of the impact of greening measures in an agricultural area of the southern Italy. Land Use Policy, 48, 525-533. https://doi.org/10.1016/j.landusepol.2015.06.028
- Cortignani, R., & Dono, G. (2019). CAP's environmental policy and land use in arable farms: An impacts assessment of greening practices changes in Italy. Science of The Total Environment, 647, 516-524. https://doi.org/10.1016/j.scitotenv.2018.07.443
- Daneshgar, H., Bagheri, M., Mardani Najafabadi, M., Alijani, F., & Yavari, G. (2021). Effects of climate change on hydrological and economic conditions of Bushkan plain farmers. Agricultural Economics Research, 13(2), 259-280.
- Deng, L., & Zhao, J. (2024). Assessing economic and environmental impacts of subsidies for organic fertilizer in vegetable production: insights from a combined PMP-LCA-LCC approach. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-04825-w
- Dijak, W.D., Hanberry, B.B., Fraser, J.S., He, H.S., Wang, W.J., & Thompson, F.R. (2017). Revision and application of the LINKAGES model to simulate forest growth in central hardwood landscapes in response to climate change. Landscape Ecology, 32, 1365-1384. https://doi.org/10.1007/s10980-016-0473-8
- Esfahani, S.M.J. (2022). Management of energy consumption and greenhouse gas emissions using the optimal farm scale: Evidence from wheat production in South Khorasan Province. Iran Agricultural Research, 40(2), 71-83.
- Esfahani, S.M.J., & Rafati, M. (2022). The share of farm-scale on optimizing energy consumption and greenhouse gas emissions in irrigated wheat farms in eastern Iran. Sustainable Energy Technologies and Assessments, 53, 102465. https://doi.org/10.1016/j.seta.2022.102465
- Hasanvand, M., Tahmasebi, J., & Keramatzadeh, A. (2016). Survey of farmerâs reaction to agricultural water policies in sub sector of farm in Khorramabad County using positive mathematical programming approach (PMP). Agricultural Economics and Development, 24(1), 167-192. https://doi.org/10.30490/aead.2016.59026
- Ilahi, S., Wu, Y., Raza, M.A.A., Wei, W., Imran, M., & Bayasgalankhuu, L. (2019). Optimization approach for improving energy efficiency and evaluation of greenhouse gas emission of wheat crop using data envelopment analysis. Sustainability, 11(12), 3409. https://doi.org/10.3390/su11123409
- Jamali Jaghdani, T., & Kvartiuk, V. (2021). The energy-water nexus in Iran: The political economy of energy subsidies for groundwater pumping. In S. Hülsmann & M. Jampani (Eds.), A Nexus Approach for Sustainable Development : Integrated Resources Management in Resilient Cities and Multifunctional Land-use Systems (pp. 107-128). Springer International Publishing. https://doi.org/10.1007/978-3-030-57530-4_8
- Jamali, M., Soufizadeh, S., Yeganeh, B., & Emam, Y. (2021). A comparative study of irrigation techniques for energy flow and greenhouse gas (GHG) emissions in wheat agroecosystems under contrasting environments in south of Iran. Renewable and Sustainable Energy Reviews, 139, 110704. https://doi.org/10.1016/j.rser.2021.110704
- Kazemi, H., Bourkheili, S.H., Kamkar, B., Soltani, A., Gharanjic, K., & Nazari, N.M. (2016). Estimation of greenhouse gas (GHG) emission and energy use efficiency (EUE) analysis in rainfed canola production (case study: Golestan province, Iran). Energy, 116, 694-700. https://doi.org/10.1016/j.energy.2016.10.010
- Laborde, D., Mamun, A., Martin, W., Piñeiro, V., & Vos, R. (2021). Agricultural subsidies and global greenhouse gas emissions. Nature Communications, 12(1), 2601. https://doi.org/10.1038/s41467-021-22703-1
- Moulogianni, C., & Bournaris, T. (2021). Assessing the impacts of rural development plan measures on the sustainability of agricultural holdings using a PMP model. Land, 10(5). https://doi.org/10.3390/land10050446
- Mousavi, S. N., Farajzadeh, Z., & Taheri, F. (2015). Study of economic and environmental consequences of eliminating chemical and pesticides subsidy using general equilibrium analysis. Agricultural Economics and Development, 2(4), 171-205. https://doi.org/10.30490/aead.2015.58949
- Mu, L., Wang, Y., & Xue, B. (2023). Does the dynamic adjustment of agricultural water prices drive variation of the agricultural production?., 02 February 2023, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-2470829/v1
- Paris, Q., & Howitt, R.E. (1998). An analysis of Ill-Posed production problems using maximum entropy. American Journal of Agricultural Economics, 80(1), 124-138. https://doi.org/10.2307/3180275
- Šarauskis, E., Masilionytė, L., Juknevičius, D., Buragienė, S., & Kriaučiūnienė, Z. (2019). Energy use efficiency, GHG emissions, and cost-effectiveness of organic and sustainable fertilisation. Energy, 172, 1151-1160. https://doi.org/10.1016/j.energy.2019.02.067
- Shabanzadeh-Khoshrody, M., Azadi, H., Ahangarkolaee, S.S., Värnik, R., Viira, A.-H., & Kurban, A. (2022). Reviewing the effects of guaranteed and purchasing price policies on cultivation pattern of agronomic crops in Qazvin Plain, Iran. Journal of International Food & Agribusiness Marketing. https://doi.org/10.1080/08974438.2022.2085223
- Sharafi, S., Kazemi, A., & Amiri, Z. (2023). Estimating energy consumption and GHG emissions in crop production: A machine learning approach. Journal of Cleaner Production, 408, 137242. https://doi.org/10.1016/j.jclepro.2023.137242
- Smith, V.H., Glauber, J.W., Goodwin, B.K., & Sumner, D.A. (2017). Agricultural policy in disarray: Reforming the farm bill—An overview. American Enterprise Institute.
- Viaggi, D., Raggi, M., & Paloma, S.G. (2010). An integer programming dynamic farm-household model to evaluate the impact of agricultural policy reforms on farm investment behaviour. European Journal of Operational Research, 207(2), 1130-1139. https://doi.org/10.1016/j.ejor.2010.05.012
- Wang, S., Yang, P., Tan, Q., & Yao, L. (2024). Identification of optimal organic fertilizer subsidy policies under dual uncertainty via a self-calibrated fuzzy-boundary interval programming method. Journal of Cleaner Production, 438, 140762. https://doi.org/10.1016/j.jclepro.2024.140762
- Zhai, Z., Martínez, J.F., Beltran, V., & Martínez, N.L. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170, 105256. https://doi.org/10.1016/j.compag.2020.105256
- Zhang, R., Ma, W., & Liu, J. (2021). Impact of government subsidy on agricultural production and pollution: A game-theoretic approach. Journal of Cleaner Production, 285, 124806. https://doi.org/10.1016/j.jclepro.2020.124806
- Zhao, Z., Wang, G., Chen, J., Wang, J., & Zhang, Y. (2019). Assessment of climate change adaptation measures on the income of herders in a pastoral region. Journal of Cleaner Production, 208, 728-735. https://doi.org/10.1016/j.jclepro.2018.10.088
- Ziliaskopoulos, K., & Papalamprou, K. (2022). A bilevel linear programming model for developing a subsidy policy to minimize the environmental impact of the agricultural sector. Sustainability, 14(13). https://doi.org/10.3390/su14137651
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