Research on the Subsidy Policy of Wind Energy Price in Shandong Province Based on CGE Model
International Journal of Economics, Finance and Management Sciences
Volume 8, Issue 5, October 2020, Pages: 205-213
Received: Oct. 18, 2020;
Published: Oct. 20, 2020
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Yangxiao Wang, Department of Economics, School of Economics and Management, China University of Petroleum (East China), Qingdao, China
Qiufang Fan, Department of Economics, School of Economics and Management, China University of Petroleum (East China), Qingdao, China
Ying Ma, Department of Economics, School of Economics and Management, China University of Petroleum (East China), Qingdao, China
Jie Zhang, Department of Economics, School of Economics and Management, China University of Petroleum (East China), Qingdao, China
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In recent years, with the improvement of wind power generation technology and industrial upgrading, China's wind power generation manufacturing and application scale ranks among the top in the world. Technological advances in these related fields have reduced costs, making renewable energy an important area of the energy transition. At present, renewable energy mainly includes wind, solar and biomass energy. Among them, wind energy has the advantages of wide sources, low cost, advanced energy capture and conversion technology and equipment, which make it has been applied in many places on a large scale. By contrast, due to the difficulty of material recovery and high cost, the large-scale application of biomass energy is limited. Meanwhile, the production of solar panels is characterized by high pollution and high energy consumption, which is not environmentally friendly and limits its industrial expansion. Therefore, this research will focus on wind power price related policies in Shandong Province. In this paper, a Computable General Equilibrium (CGE) model of renewable energy policy according to the current development in Shandong Province was first built. Then, by simulating the increase of wind energy electricity price subsidies by 5%, 10%, 15%, 20%, 25%, 30% compared with the base year, the effects of electricity price subsidies on energy, economics, social and environment were further analyzed. Finally, suggestions were proposed which can provide a reference for the promotion and development of wind energy in Shandong Province.
Wind Energy, CGE Model, Electricity Price Subsidies, Energy Effect, Economic Effect, Social and Environmental Effect
To cite this article
Research on the Subsidy Policy of Wind Energy Price in Shandong Province Based on CGE Model, International Journal of Economics, Finance and Management Sciences.
Vol. 8, No. 5,
2020, pp. 205-213.
Shandong new energy industry development plan (2018-2028), 2018, 09, 17.
Zerrahn, Alexander. Wind Power and Externalities. Ecological economics, 2017, 141 (Nov): 245-260.
Sorknaes P, Djorup S R, Lund H, et al. Quantifying the influence of wind power and photovoltaic on future electricity market prices. Energy Conversion and Management, 2019, 180: 312-324.
Johansen Leif. A Multi-Sectoral Study of Economic Growth. Amsterdam: North-Holland, 1960.
He, Y X., Liu, Y. Y. Low-carbon-oriented dynamic optimization of residential energy pricing in China. Energy, 2014, 66: 610-623.
Dixon P. B., Jerie M., Rimmer M. T. (2018) Calibration and Parameter Estimation for a Melitz Sector in a CGE Model. In: Trade Theory in Computable General Equilibrium Models. Advances in Applied General Equilibrium Modeling. Springer, Singapore.
Gao Y, Wang X Y, ZHANG B L, et al. Changes of Social and economic Sectors and Factors in Beijing under different water pollution purification scenarios: An analysis based on THE ES-CGE Model. Journal of Ecology, 2018, 38 (5): 1668-1678.
Hu Q. Research on the Impact of Carbon tax Policy based on CGE Model on China's Economic Structure. Jiangnan University, 2017.
Zhang Y. Research on Renewable Energy Price Policy in Inner Mongolia [D]. Inner Mongolia University, 2015.
Lin F. Research on optimization of New Energy Fiscal and Tax Policies in Inner Mongolia. Marketing, 2019 (51): 110+112.
Wang P, Liu X Y, Hu B, et al. Economic Analysis of carbon tax Policies in three Northeast Provinces based on CGE Model. Business News, 2020.
Zhang W J, Ma X L. Effect and cost of haze Reduction by Environmental Tax -- Based on dynamic Multi-region CGE Model. Journal of Beijing Institute of Technology (Social Sciences), 2020 (3).
Wang Q W., Li S T. Principle, method and application of social accounting matrix. Beijing: Tsinghua university, 2008.
Pauw K. Functional forms used in CGE models: Modelling production and commodity flows. 2003.
He Y X, Zhang S L, Yang L Y, et al. Economic analysis of coal price–electricity price adjustment in China based on the CGE model. Energy Policy, 2010, 38 (11): 6629-6637.
Wang K, Wang C, Chen J. Analysis of the economic impact of different Chinese climate policy options based on a CGE model incorporating endogenous technological change. Energy policy, 2009, 37 (8): 2930-2940.
Schaefer A, Jacoby H D. Technology detail in a multisector CGE model: transport under climate policy. Energy Economics, 2005, 27 (1): 1-24.
Bisschop J, Meeraus A. On the development of a general algebraic modeling system in a strategic planning environment. Applications. Springer, Berlin, Heidelberg, 1982: 1-29.
Bussieck M R, Meeraus A. General algebraic modeling system (GAMS). Modeling languages in mathematical optimization. Springer, Boston, MA, 2004: 137-157.