Quality & Quantity

, Volume 53, Issue 4, pp 2199–2220 | Cite as

Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model

  • Yingxue Rao
  • Min ZhouEmail author
  • Chunxia CaoEmail author
  • Shukui Tan
  • Yan Song
  • Zuo Zhang
  • Deyi Dai
  • Guoliang Ou
  • Lu Zhang
  • Xin Nie
  • Aiping Deng
  • Zhuoma Cairen


Industrial structure optimization model can effectively support sustainable economic development. This study firstly summarized four types existing industrial structure optimization models. Based on reviews of these models, this study proposed an inexact chance-constrained fuzzy programming model for industrial structure optimization. This model has three features: (1) the model considers many social economic and ecological environment factors which can provide various of sustainable development strategies; (2) the model considers three uncertainties which are discrete intervals, fuzzy sets and probabilities; therefore, the model can reflect uncertain features of the industrial structure system without excessive hypothesis; (3) the model can effectively reflect the quantitive relationship between economic benefit increasing and ecological environmental cost retardant in the industrial system. The proposed model is applied to industrial structure optimization of Hefeng County, Hubei Province, China. The results provided a series of desired industrial structure patterns and environmental emission scenarios under uncertainty which could help government and industry decision makers in the study area to formulate appropriate industrial policies which could balance the social economic development and ecological environment protection. The modelling results can support quantity and deeply analysis of industrial structure patterns and trade-off between economical development and ecological environment protection.


Industrial structure optimization Inexact chance-constrained fuzzy programming Economic benefit Ecological environmental protection Hefeng County 



This research was supported by the program of technical innovation project of Hubei Province (Project No. 2017ABA160), Hubei Provincial Natural Science Foundation of China (Project No. 2016CFB207), National 985 Project of Non-traditional Security at Huazhong University of Science and Technology, National Natural Science Foundation of China (Project Nos. 41401631, 71774066), the Open issues of Wuhan Research Institute (IWHS20172019), the Fundamental Research Funds for the Central Universities of China (Project No. CSD17016) and Humanity and Social Science Foundation of Ministry of Education of China (Project No. 13YJC630115). The authors deeply appreciate the reviewers/editor’ comments, which have contributed much to improving the manuscript.


  1. Afshari, H., Farel, R., Peng, Q.: Challenges of value creation in Eco-Industrial Parks (EIPs): a stakeholder perspective for optimizing energy exchanges. Resour. Conserv. Recycl. 139, 315–325 (2018)CrossRefGoogle Scholar
  2. Arbolino, R., Boffardi, R., Lanuzza, F., Ioppolo, G.: Monitoring and evaluation of regional industrial sustainability: evidence from Italian regions. Land Use Policy 75, 420–428 (2018)CrossRefGoogle Scholar
  3. Arivalagan, A., Raghavendra, B.G., Rao, A.R.K.: Integrated energy optimization model for a cogeneration based energy supply system in the process industry. Int. J. Electr. Power Energy Syst. 17, 227–233 (1995)CrossRefGoogle Scholar
  4. Azadeh, A., Ghaderi, S.F., Mirjalili, M., Moghaddam, M., Haghighi, S.M.: Optimization of human resources and industrial banks with ambiguous inputs using intelligent fuzzy mathematical programming approach. J. Sci. Ind. Res. 74, 545–554 (2015)Google Scholar
  5. Brondi, C., Cornago, S., Ballarino, A., Avai, A., Pietraroia, D., Dellepiane, U., Niero, M.: Sustainability-based optimization criteria for industrial symbiosis: the symbioptima case. Procedia CIRP 69, 855–860 (2018)CrossRefGoogle Scholar
  6. Catalá, L.P., Durand, G.A., Blanco, A.M., Bandoni, J.A.: Mathematical model for strategic planning optimization in the pome fruit industry. Agric. Syst. 115, 63–71 (2013)CrossRefGoogle Scholar
  7. Catalá, L.P., Moreno, M.S., Blanco, A.M., Bandoni, J.A.: A bi-objective optimization model for tactical planning in the pome fruit industry supply chain. Comput. Electron. Agric. 130, 128–141 (2016)CrossRefGoogle Scholar
  8. Cheng, Z.H., Shi, X.A.: Can industrial structural adjustment improve the total-factor carbon emission performance in China? Int. J. Environ. Res. Public Health 15, 2291 (2018)CrossRefGoogle Scholar
  9. Cheng, X.X., Fan, L.F., Wang, J.C.: Can energy structure optimization, industrial structure changes, technological improvements, and central and local governance effectively reduce atmospheric pollution in the Beijing–Tianjin–Hebei area in China? Sustainability 10, 644 (2018a)CrossRefGoogle Scholar
  10. Cheng, Z., Li, L., Liu, J.: Industrial structure, technical progress and carbon intensity in China’s provinces. Renew. Sustain. Energy Rev. 81, 2935–2946 (2018b)CrossRefGoogle Scholar
  11. Han, X., Wu, P.L., Dong, W.L.: An analysis on interaction mechanism of urbanization and industrial structure evolution in Shandong, China. Procedia Environ. Sci. 13, 1291–1300 (2011)CrossRefGoogle Scholar
  12. He, D., Li, W.C.: An empirical research on industrial structure optimization of provincial area based on two-oriented society. Appl. Mech. Mater. 357, 1706–1709 (2013)CrossRefGoogle Scholar
  13. Karlsson, M.: The MIND method: a decision support for optimization of industrial energy systems—principles and case studies. Appl. Energy 88, 577–589 (2011)CrossRefGoogle Scholar
  14. Li, N., Yang, H., Wang, L., Huang, X., Zeng, C., Wu, H., Ma, X., Song, X., Wei, Y.: Optimization of industry structure based on water environmental carrying capacity under uncertainty of the Huai River Basin within Shandong Province, China. J. Clean. Prod. 112, 4594–4604 (2016)CrossRefGoogle Scholar
  15. Liu, F.L., Wu, W.W., Liu, Y.X.: Simulation of the performance optimization of Harbin Yingbin industrial park in China. Int. J. Simul. Model. 15, 56–69 (2016)CrossRefGoogle Scholar
  16. Lu, S., Wang, J., Shang, Y., Bao, H., Chen, H.: Potential assessment of optimizing energy structure in the city of carbon intensity target. Appl. Energy 194, 765–773 (2017)CrossRefGoogle Scholar
  17. Mayer, D.G., Belward, J.A., Burrage, K.: Robust parameter settings of evolutionary algorithms for the optimisation of agricultural systems models. Agric. Syst. 69, 199–213 (2001)CrossRefGoogle Scholar
  18. Nuhoff-Isakhanyan, G., Wubben, E., Omta, O., Pascucci, S.: Network structure in sustainable agro-industrial parks. J. Clean. Prod. 141, 1209–1220 (2017)CrossRefGoogle Scholar
  19. Osaki, M., Batalha, M.O.: Optimization model of agricultural production system in grain farms under risk, in Sorriso, Brazil. Agric. Syst. 127, 178–188 (2014)CrossRefGoogle Scholar
  20. Ou, G.L., Tan, S.K., Zhou, M., Lu, S.S., Tao, Y.H., Zhang, Z., Zhang, L., Yan, D.P., Guan, X.L., Wu, G.: An interval chance-constrained fuzzy modeling approach for supporting land-use planning and eco-environment planning at a watershed level. J. Environ. Manag. 204, 651–666 (2017)CrossRefGoogle Scholar
  21. Ren, C.F., Guo, P., Li, M., Gu, J.J.: Optimization of industrial structure considering the uncertainty of water resources. Water Resour. Manag. 27, 3885–3898 (2013)CrossRefGoogle Scholar
  22. Wang, Y.: Multi-objective optimization model building and development on international metropolis tourism industry structure. In: 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, pp. 670–673 (2015)Google Scholar
  23. Wang, X., Liu, C.: A simultaneous approach to water-resource protection and economic structural adjustment—a case study of Guanzhong region in the Huanghe River basin, China. Chin. Geogr. Sci. 12, 35–43 (2002)CrossRefGoogle Scholar
  24. Wang, W., Zeng, W.: Optimizing the regional industrial structure based on the environmental carrying capacity: an inexact fuzzy multi-objective programming model. Sustainability 5, 5391–5415 (2013)CrossRefGoogle Scholar
  25. Wang, L., Zhang, H.: Development of circular economy and optimization of industrial structure for Shandong Province. Energy Procedia 5, 1603–1610 (2011)CrossRefGoogle Scholar
  26. Wang, Q., Wei, X., Zha, J., Xi, S.: Research on the optimization of industrial structure in Shaanxi Province Based on DEA model. In: International Conference on Economics, Finance and Statistics (2017)Google Scholar
  27. Wang, Z., Jia, H.F., Xu, T., Xu, C.Q.: Manufacturing industrial structure and pollutant emission: an empirical study of China. J. Clean. Prod. 197, 462–471 (2018)CrossRefGoogle Scholar
  28. Wu, Y.L., Xiong, Y.L., Tian, X., Liu, Y., Shi, F.: Decoding the carbonization mode of the south coastal economic zone in China from the perspective of a dynamic industrial structure. J. Clean. Prod. 199, 518–528 (2018)CrossRefGoogle Scholar
  29. Xie, Y.L., Xia, D.H., Huang, G.H., Ji, L.: Inexact stochastic optimization model for industrial water resources allocation under considering pollution charges and revenue-risk control. J. Clean. Prod. 203, 109–124 (2018)CrossRefGoogle Scholar
  30. Xiong, L., Jiang, M., Niu, L.Y., Liu, B.: Study on industrial structure evolutionary of central Yunnan economic zone in China—analysis based on industrial structure conversion coefficient and GIS spacial analysis method. In: 2014 7th International Conference on IEEE Intelligent Computation Technology and Automation (ICICTA), pp. 701–704 (2014)Google Scholar
  31. Xu, J., Deng, Y., Yao, L.: Sustainable development-oriented industrial restructuring modeling and analysis: a case study in Leshan. Clean Technol. Environ. Policy 16, 267–279 (2014)CrossRefGoogle Scholar
  32. Xu, F., Xiang, N., Tian, J., Chen, L.: 3Es-based optimization simulation approach to support the development of an eco-industrial park with planning towards sustainability: a case study in Wuhu, China. J. Clean. Prod. 164, 476–484 (2017)CrossRefGoogle Scholar
  33. Yan, S.: Analysis on the optimization effects of logistics industry development to China’s industrial structure. Contemp. Logist. 14, 3–8 (2014)Google Scholar
  34. Yang, T., Ren, Y., Shi, L., Wang, G.: The circular transformation of chemical industrial parks: an integrated evaluation framework and 20 cases in China. J. Clean. Prod. 196, 763–772 (2018)CrossRefGoogle Scholar
  35. Yu, S., Zheng, S., Ba, G., Wei, Y.M.: Can China realise its energy-savings goal by adjusting its industrial structure? Econ. Syst. Res. 28, 273–293 (2016)CrossRefGoogle Scholar
  36. Yu, S.W., Zheng, S.H., Zhang, X.J., Gong, C.Z., Cheng, J.H.: Realizing China’s goals on energy saving and pollution reduction: industrial structure multi-objective optimization approach. Energy Policy 122, 300–312 (2018)CrossRefGoogle Scholar
  37. Yue, W.C., Cai, Y.P., Yang, Z.F., Rong, Q.Q., Dang, Z.: Structural optimization for industrial sectors to achieve the targets of energy intensity mitigation in the urban cluster of the Pearl River Delta. Ecol. Ind. 95, 673–686 (2018)CrossRefGoogle Scholar
  38. Zhang, F., Gong, Q.: Application of industry linkage path algorithm in western energy development. Clust. Comput. (2018). Google Scholar
  39. Zhang, J., Liu, G.D., Guo, H., Liu, L., Deng, S.H.: Application the optimization models to analysis of the industrial pollutant emission in China. Environ. Prot. Eng. 39, 87–99 (2013)Google Scholar
  40. Zhang, J., Jiang, H.Q., Liu, G.Y., Zeng, W.H.: A study on the contribution of industrial restructuring to reduction of carbon emissions in China during the five Five-Year Plan periods. J. Clean. Prod. 176, 629–635 (2018a)CrossRefGoogle Scholar
  41. Zhang, Z., Zhang, X., Shi, M.: Urban transformation optimization model: how to evaluate industrial structure under water resource constraints? J. Clean. Prod. 195, 1497–1504 (2018b)CrossRefGoogle Scholar
  42. Zhao, Q., Niu, M.: Influence analysis of FDI on China’s industrial structure optimization. Procedia Comput. Sci. 17, 1015–1022 (2013)CrossRefGoogle Scholar
  43. Zhou, Y.W., Fan, H.H.: Research on multi objective optimization model of sustainable agriculture industrial structure based on genetic algorithm. J. Intell. Fuzzy Syst. 35, 2901–2907 (2018)CrossRefGoogle Scholar
  44. Zhou, M., Chen, Q., Cai, Y.L.: Optimizing the industrial structure of a watershed in association with economic–environmental consideration: an inexact fuzzy multi-objective programming model. J. Clean. Prod. 42, 116–131 (2013)CrossRefGoogle Scholar
  45. Zhou, X.Y., Lei, K., Meng, W., Khu, S.T.: Industrial structural upgrading and spatial optimization based on water environment carrying capacity. J. Clean. Prod. 165, 1462–1472 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Yingxue Rao
    • 1
    • 2
  • Min Zhou
    • 3
    Email author
  • Chunxia Cao
    • 4
    Email author
  • Shukui Tan
    • 3
  • Yan Song
    • 5
  • Zuo Zhang
    • 6
  • Deyi Dai
    • 7
    • 8
  • Guoliang Ou
    • 9
  • Lu Zhang
    • 3
  • Xin Nie
    • 10
  • Aiping Deng
    • 3
  • Zhuoma Cairen
    • 3
  1. 1.College of Public AdministrationSouth-Central University for NationalitiesWuhanChina
  2. 2.Research Center of Hubei Ethnic Minority Areas Economic and Social DevelopmentSouth-Central University for NationalitiesWuhanChina
  3. 3.College of Public AdministrationHuazhong University of Science and TechnologyWuhanChina
  4. 4.Hubei Biopesticide Engineering Research CenterWuhanChina
  5. 5.The Department of City and Regional PlanningThe University of North Carolina at Chapel HillChapel HillUSA
  6. 6.College of Public AdministrationCentral China Normal UniversityWuhanChina
  7. 7.Center of Hubei Cooperative Innovation for Emissions Trading System (CHCIETS)WuhanChina
  8. 8.School of Logistics and EngineeringHubei University of EconomicsWuhanChina
  9. 9.School of Construction and Environmental EngineeringShenzhen PolytechnicShenzhenChina
  10. 10.School of Public AdministrationGuangxi UniversityNanningChina

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