Optimizing Inputs Consumption and Reducing Pollution through Environmental Efficiency Analysis

Document Type : Original Research

Authors
Department of Agricultural Economics, Faculty of Agriculture Engineering and Rural Development, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Islamic Republic of Iran.
Abstract
This study employs data envelopment analysis with Material Balance Principle Model to evaluate rice farmers' eco-efficiency. Additionally, it examines optimal input allocation with and without environmental consideration. The study focuses on rice farmers in the Gotvand Region of Khuzestan Province, Iran. The primary data were collected through 153 questionnaires administered to local rice farmers in 2022. The findings revealed that the average technical efficiency of rice farmers in Gotvand was 87% under conventional efficiency measures, but dropped to 73% when environmental pollution was factored in. To achieve optimal efficiency, inefficient Decision-Making Units must reduce their carbon dioxide emissions by an average of 8%. To improve eco-efficiency, the study identifies different optimization patterns: substantial reductions are needed for nitrogen fertilizer (-41.1%), fuel (-38.5%), and machinery operation hours (-33.6%), while increases are recommended for animal manure (612%), potassium fertilizer (6.25%), and phosphate fertilizer (2.7%). Therefore, key contributors to the inefficiency among the studied producers include inadequate animal manure application, excessive nitrogen fertilizer use, diesel fuel consumption, and machine operation hours. Notably, electricity usage has a minimal impact on inefficiency, with no significant changes detected. These findings underscore the necessity of optimized input management, especially chemical fertilizer reduction, to enhance both economic and environmental sustainability in rice farming.
Keywords
Subjects

1.       Abdollahi, O., and Faryadi, M. 2010. Legal Challenges Facing Iran’s Department of Environment. Environ. Sc., 7(4): 143-180.
2.       Angulo-Meza, L., González-Araya, M., Iriarte, A., Rebolledo-Leiva, R., and Soares de Mello, J. C. 2019. A Multiobjective DEA Modelto Assess the Eco-Efficiency of Agricultural Practices within the CF + DEA Method. Comput. Electron. Agric., 161: 151-161.
3.       Arabi, B., Doraisamy, S. M., Emrouznejad, A. and Khoshroo, A. 2017. Eco-Efficiency Measurement and Material Balance Principle: An Application in Power Plants Malmquist Luenberger Index. Ann. Oper. Res.255: 221-239.
4.       Banker, R. D., Charnes, A. and Cooper, W. W. 1984. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Manage. Sci., 30(9): 1078–1092.
5.       Biswas, B., Mallick, B., Roy, A. and Sultana, Z. 2021. Impact of Agriculture Extension Services on Technical Efficiency of Rural Paddy Farmers in Southwest Bangladesh. Environ. Chall., 5: 1-10.
6.       Carberry, P. S., Liang, W. -L., Twomlow, S., Holzworth, D. P., Dimes, J. P., McClelland, T., Huth, N. I., Chen, F., Hochman, Z. and Keating, B. A. 2013. Scope for Improved Eco-Efficiency Varies among Diverse Cropping Systems. Proc. Natl. Acad. Sci. USA., 110(21): 8381-8386.
7.       Charnes, A., Cooper, W. W. and Rhodes, E. 1979. Measuring the Efficiency of Decision-Making Units. Eur. J. Oper. Res.3(4): 339.
8.       Cecchini, L., Romagnoli, F., Chiorri, M. and Torquati, B. 2023. Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector. Agriculture, 13(5): 1107.
9.       Coelli, T., Lauwers, L. and Van Huylenbroeck, G. 2007. Environmental Efficiency Measurement and the Materials Balance Condition. J. Prod. Anal., 28: 3-12.
10.    Cui, S. and Wang, Z. 2023. The Impact and Transmission Mechanisms of Financial Agglomeration on Eco-Efficiency: Evidence from the Organization for Economic Co-Operation and Development Economies. J. Clean. Prod.392: 136219
11.    Dashti, G., Mohammadpour, Z. and Ghahremanzadeh, M. 2020. Evaluating the Relationship between Economic and Environmental Efficiency in Iranian Agriculture Sector. J. Agric. Sci. Sustain. Prod., 30(4): 199-211.
12.    Deng, X. and Gibson, J. 2019. Improving Eco-Efficiency for the Sustainable Agricultural Production: A Case Study in Shandong, China. Technol. Forecast. Soc. Change, 144: 394-400.
13.    Ekins, P. 2005. Eco-Efficiency: Motives, Drivers and Economic Implications. J. Ind. Econ., 9(4): 12-14.
14.    Emrouznejad, A., Marra, M., Yang, G. L. and and Michali, M. 2023. Eco-Efficiency Considering NetZero and Data Envelopment Analysis: A Critical Literature Review. IMA J. Manage. Math., 34(4): 599-632.
15.    Färe, R. and Grosskopf, S. 2010. Directional Distance Functions and Slacks-Based Measures of Efficiency. Eur. J. Oper. Res., 200(1): 320-322.
16.    Farrell, M. 1957. Farrell, M. J. 1957.The Measurement of Productive Efficiency. J. R. Stat. Soc., 120(3): 253-281.
17.    Field, B. C. and Field, M. K. 2017. Environmental Economics: An Introduction. ISBN: 978-0-07-802189-3492, Seventh Edition, McGraw-Hill, 471 PP.
18.    Field, B. C. and Olewiler, N. D. 2005. Environmental Economics. Updated 2nd Canadian Edition, McGraw-Hill Ryerson Limited, Toronto 498 PP.
19.    Gancone, A., Pubule, J., Rosa, M. and Blumberga, D. 2017. Evaluation of Agriculture Eco-Efficiency in Latvia. Energy Procedia128: 309-315.
20.    Huang, M., Zeng, L., Liu, C., Li, X. and Wang, H. 2022. Research on the Eco-Efficiency of Rice Production and Its Improvement Path: A Case Study from China. Int. J. Environ. Res. Public Health19(14): 8645.
21.    Javadi, A., Ghahremanzadeh, M., Sassi, M., Javanbakht, O. and Hayati, B. 2023. Economic Evaluation of the Climate Changes on Food Security in Iran: Application of CGE Model. Theor. Appl. Climatol., 151(1-2): 567-585.
22.    Khan, M., Mobin, M., Abbas, Z. and Alamri, S. 2018. Fertilizers and Their Contaminants in Soils, Surface and Groundwater. Encycl. Anthrop., 5: 225-240.
23.    Kotrlik, J. and Higgins, C. 2001. Organizational Research: Determining Appropriate Sample Size in Survey Research. Inf. Technol. Learn. Perform. J., 19(1): 43.
24.    Kouchaki-Penchah, H., Alizadeh, M. R. and Karbalaei Aghamolki, M. T. 2023. Measuring Eco-Efficiency of Rice Cropping Systems in Iran: An Integrated Economic and Environmental Approach. Sustain. Energy Technol. Assess., 57: 103281.
25.    Lauwers, L. 2009. Justifying the Incorporation of the Materials Balance Principle into Frontier-Based Eco-Efficiency Models. Ecol. Econ., 68(6): 1605-1614.
26.    Li, F. J., Dong, S. C. and Li, F. 2012. A System Dynamics Model for Analyzing the Eco-Agriculture System with Policy Recommendations. Ecol. Model., 227: 34-45.
27.    Lin, E. Y. -Y., Chen, P. -Y. and Chen, C. -C. 2013. Measuring the Environmental Efficiency of Countries: A Directional Distance Function Metafrontier Approach. J. Environ. Manag., 119: 134-142.
28.    Maghrebi, M., Noori, R., Bhattarai, R., Mundher Yaseen, Z., Tang, Q., Al‐Ansari, N., Danandeh Mehr, A., Karbassi, A., Omidvar, J. and Farnoush, H. 2020. Iran's Agriculture in the Anthropocene. Earth's Future, 8(9): e2020EF001547.
29.    Mardani Najafabadi, M. and Ashktorab, N. 2023. Mathematical Programming Approaches for Modeling a Sustainable Cropping Pattern under Uncertainty: A Case Study in Southern Iran. Environ. Dev. Sustain., 25(9): 9731-9755.
30.    Mardani Najafabadi, M., Rastegaripour, F., Yavari, F. and Ahani, E. 2023. Material Balance Principle to Estimate Eco-Efficiency of Saffron-Producers Aiming Reduction in Greenhouse Gas Emissions in Iran. Front. Environ. Sci., 11: 1184458.
31.    Mohammadi, A., Venkatesh, G., Eskandari, S. and Rafiee, S. 2022. Eco-Efficiency Analysis to Improve Environmental Performance of Wheat Production. Agriculture, 12(7): 1031.
32.    Mohidem, N. A., Hashim, N., Shamsudin, R. and Che Man, H. 2022. Rice for Food Security: Revisiting Its Production, Diversity, Rice Milling Process and Nutrient Content. Agriculture, 12(6): 741.
33.    Molaei, M., Hesari, N. and Javanbakht, O. 2017. The Estimation of Input-Oriented Environmental Efficiency of Agricultural Products (Case Study: Environmental Efficiency of Rice Production). Agric. Econ., 11(2): 157-172.
34.    Naghavi, S., Ebrahimi-Khusfi, Z. and Mirzaei, A. 2022. Decoupling Pollution-Agricultural Growth and Predicting Climate Change Impacts on Decoupling Index Using Bayesian Network in Different Climatic Regions. Environ. Sci. Pollut. Res., 29: 14677–14694.
35.    Neshat Ghojagh, H. M., Agheli, L., Faraji Dizaji, S. and Kabir, M. J. 2023. Economic Development and Health Status in Iran: A Panel Data Analysis. Environ. Sustain. Indic., 17: 100221.
36.    Pang, J., Chen, X., Zhang, Z. and Li, H. 2016. Measuring Eco-Efficiency of Agriculture in China. Sustainability, 8(4): 398.
37.    Patel, V., Saravaiya, S., Arvadia, M., Chaudhari, J., Ahir, M. and Bhalerao, R. 2010. Effect of Conjunctive Use of Bio-Organics and Inorganic Fertilizers on Growth, Yield and Economics of Rabi Fennel (Foeniculum vulgare Mill.) under South Gujarat Conditions. Int. J. Agric. Sci., 6(1): 178-181.
38.    Ramli, N. A., and Munisamy, S. 2015. Eco-Efficiency in Greenhouse Emissions among Manufacturing Industries: A Range Adjusted Measure. Econ. Model., 47: 219-227.
39.    Robaina-Alves, M., Moutinho, V. and Macedo, P. 2015. A New Frontier Approach to Model the Eco-Efficiency in European Countries. J. Clean. Prod., 103: 562-573.
40.    Robertson, G. P. 2015. A Sustainable Agriculture? Daedalus, 144(4): 76-89.
41.    Rodríguez-Fernández, M. P., Hidalgo-González, C. and Pérez-Neira, D. 2025. A Comprehensive Regional Approach to Eco-Efficiency in Spanish Agriculture over Time. Agronomy, 15(3): 621.
42.    Soni, P., Taewichit, C. and Salokhe, V. M. 2013. Energy Consumption and CO2 Emissions in Rainfed Agricultural Production Systems of Northeast Thailand. Agric. Syst., 116: 25-36.
43.    Taheri-Rad, A., Khojastehpour, M., Rohani, A., Khoramdel, S. and Nikkhah, A. 2017. Energy Flow Modeling and Predicting the Yield of Iranian Paddy Cultivars Using Artificial Neural Networks. Energy, 135: 405-412.
44.    Tilman, D., Balzer, C., Hill, J. and Befort, B. L. 2011. Global Food Demand and the Sustainable Intensification of Agriculture. Proc. Natl. Acad. Sci. USA, 108(50): 20260-20264.
45.    Tyteca, D. 1997. Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results. J. Prod. Anal., 8: 183-197.
46.    Wang, J., Zhou, F., Xie, A. and Shi, J. 2024. Impacts of the Integral Development of Agriculture and Tourism on Agricultural Eco-Efficiency: A Case Study of Two River Basins in China. Environ. Dev. Sustain., 26(1): 1701-1730.
47.    Wang, Y., Yang, S., Ahmad, F. and Chandio, A. A. 2025. Agricultural Eco-Efficiency and Sustainable Agricultural Development Influential Factors and Heterogeneities: Exclusive Evidence from Chinese Cities. Environ. Dev. Sustain., 27(12): 30035–30059.