Numéro
Sci. Tech. Energ. Transition
Volume 77, 2022
Selected Papers from 7th International Symposium on Hydrogen Energy, Renewable Energy and Materials (HEREM), 2021
Numéro d'article 3
Nombre de pages 12
DOI https://doi.org/10.2516/stet/2022002
Publié en ligne 25 mars 2022
  • Amri F. (2017) Intercourse across economic growth, trade and renewable energy consumption in developing and developed countries, Renew. Sust. Energ. Rev. 69, 527–534. [CrossRef] [Google Scholar]
  • Anselin L. (1995) Local indicators of spatial association – LISA, Geogr. Anal. 27, 2, 93–115. [Google Scholar]
  • Bai C., Feng C., Du K., Wang Y., Gong Y. (2020) Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis, Energy Policy 143, 111570. [CrossRef] [Google Scholar]
  • Bai Y, Chou L, Zhang W (2021) Industrial innovation characteristics and spatial differentiation of smart grid technology in China based on patent mining, J. Energy Storage 43, 103289. [CrossRef] [Google Scholar]
  • Begg I. (1999) Cities and competitiveness. Urban Studies 36, 5–6, 795–809. [CrossRef] [Google Scholar]
  • Benedek J., Cristea M., Bartók B. (2013) Regional development and establishment of renewable energy clusters in North-West Region of Romania, Environ. Eng. Manag. J. 12, 2, 237–244. [CrossRef] [Google Scholar]
  • Calkins S. (1983) The new merger guidelines and the Herfindahl-Hirschman Index, Calif. Law Rev. 71, 402. [CrossRef] [Google Scholar]
  • Chalvatzis K.J., Ioannidis A. (2017) Energy supply security in the EU: Benchmarking diversity and dependence of primary energy, Appl. Ener. 207, 465–476. [CrossRef] [Google Scholar]
  • Ellison G., Glaeser E.L. (1997) Geographic concentration in US manufacturing industries: a dartboard approach, J. Polit. Econ. 105, 5, 889–927. [CrossRef] [Google Scholar]
  • Guo L.W., Shen M.H. (2015) Study on location selection factors of renewable energy industrial cluster, Learn. Pract. 2, 31–41. [Google Scholar]
  • Hua Y., Oliphant M., Hu E.J. (2016) Development of renewable energy in Australia and China: A comparison of policies and status, Renew. Ener. 85, 1044–1051. [CrossRef] [Google Scholar]
  • Johansson B. (2013) Security aspects of future renewable energy systems – A short overview, Energy 61, 598–605. [CrossRef] [Google Scholar]
  • Kim W.B. (1990) The future of coastal development in the Yellow Sea Rimlands, J. Northeast Asian Stud. 9, 4, 53–70. [CrossRef] [Google Scholar]
  • Krugman P.R. (Ed.) (1986) Strategic trade policy and the new international economics, MIT Press. [Google Scholar]
  • Li H., Guo S., Cui L., Yan J., Liu J., Wang B. (2015) Review of renewable energy industry in Beijing: Development status, obstacles and proposals, Renew. Sust. Energ. Rev. 43, 711–725. [CrossRef] [Google Scholar]
  • Li H., Zhao Y., Wang S., Liu Y. (2020) Spatial-temporal characteristics and drivers of the regional residential CO2 emissions in China during 2000–2017, J. Clean. Prod. 276, 124116. [CrossRef] [Google Scholar]
  • Lund H. (2007) Renewable energy strategies for sustainable development, energy 32, 6, 912–919. [CrossRef] [Google Scholar]
  • Misak S., Prokop L. (2016) Operation characteristics of renewable energy sources, Springer. [Google Scholar]
  • Pan J., Huang W., Li X., Li R. (2021) Spatial distribution and regional accessibility measurement of financial services in china, Arab. J. Geosci. 14, 17, 1–11. [CrossRef] [Google Scholar]
  • Panwar N.L., Kaushik S.C., Kothari S. (2011) Role of renewable energy sources in environmental protection: A review, Renew. Sust. Energ. Rev. 15, 3, 1513–1524. [CrossRef] [Google Scholar]
  • Qian X., Bai Y., Huang W., Dai J., Li X., Wang Y. (2021) Fuzzy technique application in selecting photovoltaic energy and solar thermal energy production in belt and road countries, J. Energy Storage 41, 102865. [CrossRef] [Google Scholar]
  • Sigurdson J. (2004) Regional innovation systems (RIS) in China, European Institute of Japanese Studies. [Google Scholar]
  • Sojahrood Z.B., Taleai M. (2021) A POI group recommendation method in location-based social networks based on user influence, Expert Syst. Appl. 171, 114593. [CrossRef] [Google Scholar]
  • Tilleman S.G. (2011) Institutional logics and regional cluster emergence: evidence from the wind and so-lax energy industries [D 1], University of Montana. [Google Scholar]
  • Wu C.Q., Zheng K.Y., Gao M.L. (2020) Nonlinear effects of industrial synergy agglomeration on total factor energy efficiency in the Yangtze River Economic Belt, Journal of Wuhan University of Technology Social Sciences. [Google Scholar]
  • Wu M., Pei T., Wang W., Guo S., Song C., Chen J., Zhou C. (2021) Roles of locational factors in the rise and fall of restaurants: A case study of Beijing with POI data, Cities 113, 103185. [CrossRef] [Google Scholar]
  • Xu X., Wei Z., Ji Q., Wang C., Gao G. (2019) Global renewable energy development: Influencing factors, trend predictions and countermeasures, Resour. Policy 63, 101470. [CrossRef] [Google Scholar]
  • Yuill R.S. (1971) The standard deviational ellipse; an updated tool for spatial description, Geogr. Ann. B: Hum. Geogr. 53, 1, 28–39. [CrossRef] [Google Scholar]
  • Zhang D., Wang J., Lin Y., Si Y., Huang C., Yang J., Li W. (2017) Present situation and future prospect of renewable energy in China, Renew. Sust. Energ. Rev. 76, 865–871. [CrossRef] [Google Scholar]
  • Zhang J., Zheng Y. (2020) The flexibility pathways for integrating renewable energy into China’s coal dominated power system: The case of Beijing-Tianjin-Hebei Region, J. Clean. Prod. 245, 118925. [CrossRef] [Google Scholar]
  • Zhou X., Song M., Cui L. (2020) Driving force for China’s economic development under Industry 4.0 and circular economy: Technological innovation or structural change? J. Clean. Prod. 271, 122680. [CrossRef] [Google Scholar]
  • Zhu X., Dai J., Wei H., Yang D., Huang W., Yu Z. (2021) Application of the fuzzy optimal model in the selection of the startup hub, Discrete Dynamics in Nature and Society. [Google Scholar]

Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.

Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.

Le chargement des statistiques peut être long.