Next Article in Journal
A Heritage Interpretation-Based Itinerary to Enhance Tourist Use of Traditional Rural Buildings
Next Article in Special Issue
Regional Convergence and Sustainable Development in China
Previous Article in Journal
The Effects of Ambient Water Quality and Eurasian Watermilfoil on Lakefront Property Values in the Coeur d’Alene Area of Northern Idaho, USA
Previous Article in Special Issue
Which Subsidy Mode Improves the Financial Performance of Renewable Energy Firms? A Panel Data Analysis of Wind and Solar Energy Companies between 2009 and 2014
Open AccessArticle

Multi-Layered Capital Subsidy Policy for the PV Industry in China Considering Regional Differences

by 1,*, 1,†, 1,† and 2
1
School of Management and Economics, Tianjin University, 92, Wejin Road, Nankai District, Tianjin 300072, China
2
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Yongrok Choi, Malin Song and Seunghwan Myeong
Sustainability 2016, 8(1), 45; https://doi.org/10.3390/su8010045
Received: 30 November 2015 / Revised: 29 December 2015 / Accepted: 30 December 2015 / Published: 5 January 2016
As a country with huge energy consumption, China has been paying more and more attention to green growth in recent years. Several subsidy policies have been conducted to boost the photovoltaic (PV) industry so far. However, as a matter of fact, there are 31 provinces and municipalities (PM) in mainland China, and the economic condition, environmental resources and energy structure of each PM are all significantly different, which leads to a discrepancy of PV efficiency among regions. This paper proposes that the subsidies for the PV industry should be considered mainly from three aspects: the PM’s economic condition, energy efficiency and environmental responsibility. We built 19 evaluation indicators involving economic, environmental and energy factors, allocated weight to each indicator using the entropy weight method and sorted the 31 evaluation objects by TOPSIS (Technique for Order of Preference by Similarity to the Ideal Solution) method. Additionally, through an empirical study, we obtained the subsidy proportion for each PM. The result could make much of a contribution to the green growth of different regions and to the whole country. View Full-Text
Keywords: PV industry; subsidy policy; regional difference; green growth PV industry; subsidy policy; regional difference; green growth
Show Figures

Figure 1

MDPI and ACS Style

Li, L.; Chi, T.; Zhang, M.; Wang, S. Multi-Layered Capital Subsidy Policy for the PV Industry in China Considering Regional Differences. Sustainability 2016, 8, 45.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop