Integrating the Delphi survey into scenario planning for China's renewable energy development strategy towards 2030

Kaihua Chen, Zhipeng Ren, Shijun Mu, Tara Qian Sun and Rongping Mu

Technological Forecasting and Social Change, 2020, vol. 158, issue C

Abstract: Although scenario planning and the Delphi survey are widely used in long-term strategy planning, their combinations have not received enough attention, especially in the improvement of efficacy in scenario planning. The crucial step of scenario planning is the effective identification of the uncertain and most influential drivers and key factors. This paper integrates the Delphi survey into scenario planning. It proposes a four-step analytical procedure of Delphi survey-based scenario planning: identifying the key ingredients from Delphi results, establishing the causal relationships among key ingredients, scenario development, and scenario description. The integrated method has been adopted in the planning practice for the renewable energy development strategy towards 2030 in China. Based on the three uncertain and most influential drivers, “technology development,” “ecological awareness,” and “national energy pricing,” most possibly influencing the renewable energy development towards 2030 in China, a novel three-dimensional scenario analytical framework composed of eight future scenarios is constructed. Considering the possibility in China's practice, five scenarios are selected as possible development scenarios of China's renewable energy towards 2030. This paper develops possible policy choices for each selected scenario.

Keywords: Scenario planning; Delphi survey; Renewable energy; Development strategy; China towards 2030 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162520309835
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:158:y:2020:i:c:s0040162520309835

DOI: 10.1016/j.techfore.2020.120157

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().