Transforming Regional Resource Management through Distinct Development Coefficients: A Practical Application on Advanced Sustainable Development Indicators
الموضوعات : International Journal of Data Envelopment Analysis
Sohiela Dehghan chenari
1
,
Reza Farzipoor Saen
2
,
Hamid Sharafi
3
1 - Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Faculty of Business, Sohar University, Sohar, Oman
3 - Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran,
الکلمات المفتاحية: Data Envelopment Analysis, Centralized Resource Allocation, Sustainable Development, Energy Infrastructure, East Asia and the Pacific.,
ملخص المقالة :
This paper examines centralized resource allocation within the framework of Data Envelopment Analysis (DEA), using real data from 2015 for 17 selected countries in East Asia and the Pacific. The countries were chosen based on the availability of complete data from the World Development Indicators, encompassing five input indicators and three output indicators related to sustainable development, agricultural infrastructure, and energy. In this analysis, differences in the development coefficients of output indicators are considered based on the coefficient of variation and collaboration to better reflect regional realities. The main innovation of this study lies in integrating DEA-based numerical analysis with managerial and policy-making considerations. By prioritizing output indicators according to system needs, the model enables more informed and accurate resource allocation decisions. The findings indicate that by applying the model of Dehghan-Chenari et al. (2025), significant resource savings can be achieved while maintaining output levels in key indicators. These results provide a valuable foundation for policy formulation and optimization of resource allocation in the agricultural and infrastructure sectors of developing countries.
Abbas, A., Ahmad, S., & Aslam, M. (2020). An ensemble approach for assessment of energy efficiency of agriculture system in Pakistan. Journal of Cleaner Production, 256, 120382.
Abdallah, M. B., Farkas, M. F., Vasa, L., & Lakner, Z. (2023). Food Security of Tunisia: Comprehensive Analysis of a Composite Index. Acta Polytechnica Hungarica, 20(10).
Afsharian, M., Ahn, H. and Harms, S. G., A review of DEA approaches applying a common set of weights: the perspective of centralized management, European Journal of Operational Research, 294 (2021), 3-15.
Bai, X., Wang, Y., Huo, X., Salim, R., Bloch, H., & Zhang, H. (2019). Assessing fertilizer use efficiency and its determinants for apple production in China. Ecological Indicators, 104, 268-278.
Banker, R. J., Charnes, A. and Cooper, W. W., Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30(9) (1984), 1078-1092.
Cesaroni, G., Technically and cost-efficient allocations in data envelopment analysis, Socio-Economic Planning Sciences, 70 (2020), 100734.
Chachuli, F. S. M. (2020). Renewable energy performance evaluation studies using the data envelopment analysis (DEA): A systematic review. Renewable and Sustainable Energy Reviews, 133, 110114.
Charnes, A., Cooper, W. W. and Rhodes, E., Measuring the efficiency of decision-making units, European Journal of Operational Research, 2(6) (1978), 429-444.
Chu, J., Li, X. and Yuan, Z., Emergency medical resource allocation among hospitals with non-regressive production technology: a DEA based approach, Computers & Industrial Engineering, 171 (2022), 108491.
Dehghan Chenari,S., Hosseinzadeh Lotfi, F., Farzipoor Saen, R., Rostamy Malkhalifeh, M., & Sharafi, H. (2025). Transforming Resource Allocation Strategies: Harnessing Pseudo-Returns to Scale for Optimal Performance, printed in Journal of Mathematical Extension, 18.
Egbo, O. P., Ezeaku, H. C., Okolo, V. O., Anisiuba, C. A., Ibe, G. I., Okeke, O. M., & Igwe, P. A. (2023). Enhancing agricultural and industrial productivity through freshwater withdrawals and management: implications for the BRICS countries. Environment, Development and Sustainability, 25(4), 3771-3799.
Fang, L., Measuring and decomposing group performance under centralized management, European Journal of Operational Research, 297(3) (2022), 1006-1013.
Grados, N., Schrevens, E., & De Neve, S. (2017). Eco-efficiency of smallholder potato producers in the Peruvian Andes: A technical efficiency analysis using data envelopment analysis. Science of the Total Environment, 595, 130–146.
Grados, N., Schrevens, E., & De Neve, S. (2019). Integrating eco-efficiency and farmer typology to analyze sustainable intensification in Andean potato farming systems. Science of the Total Environment, 661, 979–991.
He, J., Wan, C., Feng, H., Ai, H., & Wang, H. (2016). An integrated data envelopment analysis and emergy-based ecological footprint methodology in evaluating sustainable development: A case study of Jiangsu Province, China. Ecological Indicators, 60, 445–453.
Lan, J., Khan, S. U., Sadiq, M., Chien, F., & Baloch, Z. A. (2022). Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia. Energy Policy, 165, 112933.
Li, M., Zhao, W., Tian, C., Li, Y., Feng, X., Guo, B., & Yao, Y. (2023). Moderate operation scales of agricultural land under the greenhouse and open-field production modes based on DEA model in mountainous areas of southwest China. Heliyon, 9(11).
Lin, B., & Du, K. (2015). Energy and carbon intensity in China's industry: A nonparametric analysis of the effects of energy policies. Energy Economics, 51, 366–376.
Liu, Q., Wu, T. Y., Pu, L., & Sun, J. (2022). Comparison of fertilizer use efficiency in grain production between developing countries and developed countries. Journal of the Science of Food and Agriculture, 102(6), 2404-2412.
Lozano, S., & Villa, G. (2004). Centralized resource allocation using data envelopment analysis. Journal of Productivity Analysis, 22(1), 143–161.
Lozano, S., & Villa, G. (2005). Centralized target setting for regional energy efficiency. European Journal of Operational Research, 161(1), 1–12.
Lozano, S., & Borrego-Marín, M. M. (2024). A metafrontier network DEA approach for water usage efficiency assessment in the light of SDG target 6.4. Environmental Science & Policy, 160, 103857.
Madadi, S., Hosseinzadeh Lotfi, F., Fallah Jelodar, M. and Rostamy-Malkhalifeh, M., Centralized resource allocation based on energy saving and environmental pollution reduction using data envelopment analysis models, Business Informatics, 16(1) (2022), 83-100
Mezősi, A., Szabó, L., & Szabó, S. (2018). Cost-efficiency benchmarking of European renewable electricity support schemes. Renewable and Sustainable Energy Reviews, 98, 217-226.
Mousavi-Avval, S. H., Rafiee, S., Jafari, A., & Mohammadi, A. (2011). Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach. Applied Energy, 88(11), 3765-3772.
Podinovski, V. V., Variable and constant returns-to-scale production technologies with component processes, Operations Research, 70(2) (2022), 1238-1258.
Sulukan, E., Karataş, M., & Akgün, İ. (2017). Energy management performance in country scale: A data envelopment analysis. Renewable and Sustainable Energy Reviews, 78, 746–754.
Tao, X., Xiong, B. and An, Q., DEA-based centralized resource allocation with network flows, International Transactions in Operational Research, 0 (2020), 1-33.
Valadkhani, A., Roshdi, I., & Smyth, R. (2016). A multiplicative environmental DEA approach to measure efficiency changes in the world's major polluters. Energy Economics, 54, 363-375.
Vlontzos, G., Niavis, S., & Manos, B. (2014). A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries. Renewable and Sustainable Energy Reviews, 40, 91–96.
Zhou, P., Ang, B. W., & Poh, K. L. (2008). A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 189(1), 1–18.
