Spatio-temporal dynamics and determinants of new energy policy diffusion in China: A policy citation approach

被引:18
作者
Ba, Zhichao [1 ]
Zhao, Yuxiang [2 ]
Liu, Xuetai [3 ]
Li, Gang [3 ]
机构
[1] Nanjing Univ, Lab Data Intelligence & Interdisciplinary Innovat, Nanjing, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing, Peoples R China
[3] Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Spatial diffusion; Policy citation; New energy; Spatial autocorrelation; Geographically weighted regression model; INNOVATION; EFFICIENCY; KNOWLEDGE; IMPACT;
D O I
10.1016/j.jclepro.2022.134270
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
New energy policies (NEPs) have become an effective administrative means to manage the energy market and incentivize the development of the new energy sector. To reveal how and why NEPs are differentially diffused in geographic space, this study proposes a quantitative citation-based approach for exploring NEP diffusion from a spatial-temporal perspective. By identifying a wealth of policy citation links implicit in 7,375 China's NEP documents, we first illustrate spatial structures and locational dynamics of NEP diffusion, while empirically investigating driving factors that shape the spatial-temporal heterogeneity of NEP diffusion. The results indicate that: (i) the top-down pattern is the most critical spatial pattern of NEP diffusion in China, with the highest diffusion speed, diffusion intensity, and policy innovation degree; (ii) NEP diffusion exhibits a rapidly increasing trend, accompanied by the gradually strengthening spatial pattern of the "eastern>central>western"; (iii) some local socioeconomic, contextual, and energy usage conditions are responsible for the spatial heterogeneity of policy diffusion. Our study provides valuable implications for policymakers to strategically craft adequate policymaking and differentiated promotion strategies for new energy sustainability.
引用
收藏
页数:12
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共 55 条
[1]   Understanding dynamics and policy for renewable energy diffusion in Colombia [J].
Arias-Gaviria, Jessica ;
Ximena Carvajal-Quintero, Sandra ;
Arango-Aramburo, Santiago .
RENEWABLE ENERGY, 2019, 139 :1111-1119
[2]   Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis [J].
Bai, Caiquan ;
Feng, Chen ;
Du, Kerui ;
Wang, Yuansheng ;
Gong, Yuan .
ENERGY POLICY, 2020, 143
[3]   Why do countries emulate each others' policies? A global study of renewable energy policy diffusion [J].
Baldwin, Elizabeth ;
Carley, Sanya ;
Nicholson-Crotty, Sean .
WORLD DEVELOPMENT, 2019, 120 :29-45
[4]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[5]   Legislative Knowledge Networks, Status Quo Complexity, and the Approval of Law Initiatives [J].
Bonvecchi, Alejandro ;
Calvo, Ernesto ;
Stein, Ernesto .
LEGISLATIVE STUDIES QUARTERLY, 2016, 41 (01) :89-117
[6]   Geographies of energy transition: Space, place and the low-carbon economy [J].
Bridge, Gavin ;
Bouzarovski, Stefan ;
Bradshaw, Michael ;
Eyre, Nick .
ENERGY POLICY, 2013, 53 :331-340
[7]   Climate variability in agriculture and crop water requirement: Spatial analysis of Italian provinces [J].
Casolani, Nicola ;
Cartone, Alfredo ;
Postiglione, Paolo ;
Liberatore, Lolita .
JOURNAL OF CLEANER PRODUCTION, 2020, 262
[8]   Spatial dynamics and determinants of sustainable finance: Evidence from venture capital investment in China [J].
Cheng, Cheng ;
Hua, Yue ;
Tan, Duoduo .
JOURNAL OF CLEANER PRODUCTION, 2019, 232 :1148-1157
[9]   From a breeze to the four winds: A panel analysis of the international diffusion of renewable energy incentive policies (2005-2015) [J].
Cia Alves, Elia Elisa ;
Steiner, Andrea ;
Medeiros, Marcelo de Almeida ;
Alves da Silva, Marcelo Eduardo .
ENERGY POLICY, 2019, 125 :317-329
[10]   Power-Law Distributions in Empirical Data [J].
Clauset, Aaron ;
Shalizi, Cosma Rohilla ;
Newman, M. E. J. .
SIAM REVIEW, 2009, 51 (04) :661-703