Open Access Open Access  Restricted Access Subscription Access

Application of Environmental Gini Coefficient (EGC) in Allocating SO2 Discharge Permit: a Case Study of SO2 Total Mass Control in Anshan, China


Affiliations
1 School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
2 School of Environment, Beijing Normal University, State Key Laboratory of Water Environment Simulation, Beijing, 100875, China
 

The allocation of SO2 discharge is always a challenge in total mass control due to the conflicts between environmental equality and efficiency. In this article, we introduced a way of allocating discharge by using Gini coefficient, a widely used index of income inequality in economics. The environmental Gini coefficient (EGC) method is based on a multi-criteria system, which includes land area, population, environmental capacity and gross domestic product (GDP). Through a linear programming optimization method, the regional pollutant reduction plan is optimized. The allocation of SO2 discharge in Anshan, China was chosen as a case study to illustrate the application of this method. The result obtained shows that the application of EGC method and linear programming can make the allocation more fair and reasonable. Therefore, Anshan should adjust the structure of the industries as well as elevate the economy. At the same time, the environmental capacity of Anshan area should be improved by some measures.

Keywords

Environmental Gini, Coefficient, SO2 Discharge Permit, Multi-Criteria System, Pollutant Reduction.
User
Notifications
Font Size


  • Barr, N.A. 1993.The economics of the welfare state. Stanford University Press.
  • Bohringer, C. and Lange, A. 2005. On the design of optimal grandfathering schemes for emission allowances. European Economic Review, 49(8): 2041-2055.
  • Bosi, S. and Seegmuller, T. 2006. Optimal cycles and social inequality: What do we learn from the Gini index? Research in Economics, 60(1): 35-46.
  • Brown, M.C. 1994. Using Gini-style indices to evaluate the spatial patterns of health practitioners: theoretical considerations and an application based on Alberta data. Social Science & Medicine, 38(9): 1243-1256.
  • Druckman, A. and Jackson, T. 2008. Measuring resource inequalities: the concepts and methodology for an area-based Gini coefficient. Ecological economics, 65(2): 242-252.
  • Ellison, G.T.H. 2002. Letting the Gini out of the bottle? Challenges facing the relative income hypothesis. Social Science & Medicine, 54(4): 561-576.
  • Groves-Kirkby, C.J., Denman, A.R. and Phillips, P.S. 2009. Lorenz curve and Gini coefficient: novel tools for analysing seasonal variation of environmental radon gas. Journal of Environmental Management, 90(8): 2480-2487.
  • Heerink, N., Mulatu, A. and Bulte, E. 2001. Income inequality and the environment: aggregation bias in environmental Kuznets curves. Ecological Economics, 38(3): 359-367.
  • Jacobson, A., Milman, A.D. and Kammen, D.M. 2005. Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity. Energy Policy, 33(14): 1825-1832.
  • Kuznets, S. 1955. Economic growth and income inequality. The American Economic Review, 1-28.
  • MacKenzie, I., Hanley, N. and Kornienko, T.A. 2008. Permit allocation contest for a tradable pollution permit market. CER-ETH-Center of Economic Research at ETH Zurich, Working Paper (08/82).
  • Mastad, O. 2007. Allocation of emission permits with leakage through capital markets. Resource and Energy Economics, 29(1): 40-57.
  • Moffatt, I. 2000. Ecological footprints and sustainable development. Ecological Economics, 32(3): 359-362.
  • Oladosu, G. and Rose, A. 2007. Income distribution impacts of climate change mitigation policy in the Susquehanna River Basin Economy. Energy Economics, 29(3): 520-544.
  • Saboohi, Y. 2001. An evaluation of the impact of reducing energy subsidies on living expenses of households. Energy Policy, 29(3): 245-252.
  • Schleich, J., Ehrhart, K.M., Hoppe, C. and Seifert, S. 2006. Banning banking in EU emissions trading? Energy Policy, 34(1): 112-120.
  • Sun, T., Zhang, H., Wang, Y., Meng, X. and Wang, C. 2010. The application of environmental Gini coefficient (EGC) in allocating wastewater discharge permit: the case study of watershed total mass control in Tianjin, China. Resources, Conservation and Recycling, 54(9): 601-608.
  • White, T.J. 2007. Sharing resources: the global distribution of the ecological footprint. Ecological Economics, 64(2): 402-410.

Abstract Views: 250

PDF Views: 1




  • Application of Environmental Gini Coefficient (EGC) in Allocating SO2 Discharge Permit: a Case Study of SO2 Total Mass Control in Anshan, China

Abstract Views: 250  |  PDF Views: 1

Authors

Tianxin Li
School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
Chengxiang Qiu
School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
Hongguang Cheng
School of Environment, Beijing Normal University, State Key Laboratory of Water Environment Simulation, Beijing, 100875, China
Harrison Odion Ikhumhen
School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China

Abstract


The allocation of SO2 discharge is always a challenge in total mass control due to the conflicts between environmental equality and efficiency. In this article, we introduced a way of allocating discharge by using Gini coefficient, a widely used index of income inequality in economics. The environmental Gini coefficient (EGC) method is based on a multi-criteria system, which includes land area, population, environmental capacity and gross domestic product (GDP). Through a linear programming optimization method, the regional pollutant reduction plan is optimized. The allocation of SO2 discharge in Anshan, China was chosen as a case study to illustrate the application of this method. The result obtained shows that the application of EGC method and linear programming can make the allocation more fair and reasonable. Therefore, Anshan should adjust the structure of the industries as well as elevate the economy. At the same time, the environmental capacity of Anshan area should be improved by some measures.

Keywords


Environmental Gini, Coefficient, SO2 Discharge Permit, Multi-Criteria System, Pollutant Reduction.

References