4.7 Article

Employment effects of solar PV industry in China: A spreadsheet-based analytical model

Journal

ENERGY POLICY
Volume 109, Issue -, Pages 59-65

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2017.06.058

Keywords

Solar PV industry; Employment; Spreadsheet-based analytical model; China

Funding

  1. National Social Science Foundation of China [14BJY063]
  2. Beijing Social Science Foundation [14JDJGB016]
  3. Fundamental Research Fund for the Central Universities [GB2015011, GB2016MS69]

Ask authors/readers for more resources

Global concerns about environment and climate change have led to the rapid development of solar PV industry across the world. Meanwhile, the provision of heavy subsidies has motivated the discussion of social and economic benefits of this technology, mainly on the impacts on employment. Although there is abundant literature on this issue in developed countries, studies on developing countries, especially of China are rare. In this study, a spreadsheet-based analytical model is established for the estimation of employment effects of China's solar PV industry during the period of 2009-2015. Building on this model and using four indices and detailed data of sample companies, it is found that during the period of 2009-2015, whilst the number of jobs created by China's solar PV industry increased, the jobs/MW ratios and employment skewness of China's solar PV industry declined. The main policy implications are that the government should fully recognize the solar IT industry's role in China's employment, improve the implementation of existing solar PV policies, provide more financial support to solar PV projects, particularly to distributed solar PV projects, and enhance the education and training of solar PV professionals.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available