@article{32287,
  keywords = {Energy policy, Public–private partnership, Risk factor, Game analysis, Maximum benefits},
  author = {Bowen Tang and Jian Xu and Yuanzhang Sun and Nan Zhou and Bo Shen and Siyang Liao and Yilu Liu},
  title = {Policy solution and game analysis for addressing the challenge of developing public–private partnership energy project},
  abstract = {<p>Various developing countries have been promoting public–private partnership (PPP) infrastructure<br />projects in recent years. Energy infrastructure project construction, which needs substantial capital<br />investments, is a cornerstone of and supports economic development. A PPP-based energy<br />infrastructure project is beneficial for alleviating developing countries’ financial burden and for<br />facilitating the diversified development of the energy market. Therefore, to increase government<br />income and reduce infrastructure project costs, the PPP energy project construction model attracts<br />considerable attention of various industries, especially in developing countries. For example, as gross<br />domestic product growth decelerates and the government debt ratio rapidly increases, many Chinese<br />provinces and cities face financial obstacles to economic development; therefore the Chinese<br />government has issued a series of PPP-based energy policies. However, a number of risk factors<br />associated with PPP projects, and conflicting interests between governments and private investors,<br />have resulted in project failure. This study analyzes the development of PPP in China from the<br />economic and industrial development perspective. It combines the latest PPP energy policies of China<br />to solve problems that stem from the main risk factors involved in constructing and operating PPP<br />energy projects. This research also provides game analysis for achieving maximum benefits as the<br />government and the private investor have conflicting interests.</p>},
  year = {2019},
  journal = {Environmental Research Letters},
  volume = {14},
  pages = {044019},
  month = {01/2019},
  doi = {10.1088/1748-9326/ab0217},
  language = {eng},
}