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Li Li
School of Humanities and Economic Management, China University of Geosciences, Beijing 10083, China

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Journal article
Published: 03 September 2016 in Energies
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Geothermal energy is one of the cleanest sources of energy which is gaining importance as an alternative to hydrocarbons. Geothermal energy reserves in China are enormous and it has a huge potential for exploitation and utilization. However, the development of the geothermal industry in China lags far behind other renewable energy sources because of the lack of fiscal and taxation policy support. In this paper, we adopt the system dynamics method and use the causal loop diagram to explore the development mechanism of fiscal and taxation policies in the geothermal industry. The effect of the fiscal and taxation policy on the development of the geothermal industry is analyzed. In order to promote sustainable development of the geothermal industry in China, the government should pay more attention to subsidies for the geothermal industry in the life-cycle stage of the geothermal industry. Furthermore, a plan is necessary to provide a reasonable system of fiscal and taxation policies.

ACS Style

Yong Jiang; Yalin Lei; Li Li; Jianping Ge. Mechanism of Fiscal and Taxation Policies in the Geothermal Industry in China. Energies 2016, 9, 709 .

AMA Style

Yong Jiang, Yalin Lei, Li Li, Jianping Ge. Mechanism of Fiscal and Taxation Policies in the Geothermal Industry in China. Energies. 2016; 9 (9):709.

Chicago/Turabian Style

Yong Jiang; Yalin Lei; Li Li; Jianping Ge. 2016. "Mechanism of Fiscal and Taxation Policies in the Geothermal Industry in China." Energies 9, no. 9: 709.

Journal article
Published: 01 April 2016 in SpringerPlus
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Air deterioration caused by pollution has harmed public health. The existing studies on the economic loss caused by a variety of air pollutants in multiple cities are lacking. To understand the effect of different pollutants on public health and to provide the basis of the environmental governance for governments, based on the dose–response relation and the willingness to pay, this paper used the latest available data of the inhalable particulate matter (PM10) and sulphur dioxide (SO2) from January 2015 to June 2015 in 74 cities by establishing the lowest and the highest limit scenarios. The results show that (1) in the lowest and highest limit scenario, the health-related economic loss caused by PM10 and SO2 represented 1.63 and 2.32 % of the GDP, respectively; (2) For a single city, in the lowest and the highest limit scenarios, the highest economic loss of the public health effect caused by PM10 and SO2 was observed in Chongqing; the highest economic loss of the public health effect per capita occurred in Hebei Baoding. The highest proportion of the health-related economic loss accounting for GDP was found in Hebei Xingtai. The main reason is that the terrain conditions are not conducive to the spread of air pollutants in Chongqing, Baoding and Xingtai, and the three cities are typical heavy industrial cities that are based on coal resources. Therefore, this paper proposes to improve the energy structure, use the advanced production process, reasonably control the urban population growth, and adopt the emissions trading system in order to reduce the economic loss caused by the effects of air pollution on public health.

ACS Style

Li Li; Yalin Lei; Dongyan Pan; Chen Yu; Chunyan Si. Economic evaluation of the air pollution effect on public health in China’s 74 cities. SpringerPlus 2016, 5, 1 -16.

AMA Style

Li Li, Yalin Lei, Dongyan Pan, Chen Yu, Chunyan Si. Economic evaluation of the air pollution effect on public health in China’s 74 cities. SpringerPlus. 2016; 5 (1):1-16.

Chicago/Turabian Style

Li Li; Yalin Lei; Dongyan Pan; Chen Yu; Chunyan Si. 2016. "Economic evaluation of the air pollution effect on public health in China’s 74 cities." SpringerPlus 5, no. 1: 1-16.

Journal article
Published: 14 April 2015 in Minerals
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In the first decade of the 21st century, as a typical coal province and mining economic region, Shanxi province made a great contribution to the national economic construction and reform. At the same time, coal mining has caused serious damage to the ecological environment, excessive use of resources, the deterioration of the ecological environment and a decline in the sustainable development capacity. Overreliance on a resource-based economy leads to problems such as a poorly developed economy and a single industrial structure. In this context, Shanxi province has to take actions to transform its industrial structure into a low-carbon development model as soon as possible. This paper measures the values of the consumption coefficients of capital investments, electric power and CO2 emissions by establishing a Grey Model (1, 1) using the data from 2007 to 2011 and designing the optimization scheme of the three industrial structures from 2015 to 2020 by establishing a grey dynamic linear programming model for Shanxi province. The results show that the industrial structure in Shanxi province needs to be improved. It is revealed that the proportion of three industries in Shanxi province should change from 6:46:48 in 2015 to 6:41:54 in 2020. At the same time, among the seven largest sectors in terms of carbon emissions in the secondary industry, Shanxi government may continue to promote the development of the coal-bed methane and the coal chemical industry in the coal industry, while the other six sectors should be limited.

ACS Style

Li Li; Yalin Lei; Lianrong Zhao; Xianhai Li. Study on the Optimization of the Industrial Structure in a Mining Economic Region: Taking Carbon Emissions as a Restriction. Minerals 2015, 5, 203 -220.

AMA Style

Li Li, Yalin Lei, Lianrong Zhao, Xianhai Li. Study on the Optimization of the Industrial Structure in a Mining Economic Region: Taking Carbon Emissions as a Restriction. Minerals. 2015; 5 (2):203-220.

Chicago/Turabian Style

Li Li; Yalin Lei; Lianrong Zhao; Xianhai Li. 2015. "Study on the Optimization of the Industrial Structure in a Mining Economic Region: Taking Carbon Emissions as a Restriction." Minerals 5, no. 2: 203-220.