Synthetic Quantitative Evaluation of Sustainable Development of Resource-based Cities: a Case Study of Panjin City

• YAN Jingjing

  Ph.D. Student, Graduate School of Life and Environmental Sciences, University of Tsukuba

• KANG Chuanjin

  Ph.D. Student, Graduate School of Life and Environmental Sciences, University of Tsukuba

• XU Feng

  Ph.D. Student, Graduate School of Life and Environmental Sciences, University of Tsukuba

• HIGANO Yoshiro

  Professor, Graduate School of Life and Environmental Sciences, University of Tsukuba

Abstract

Mineral resources as exhaustible and scarcity items are one of the most important supports for countries and cities, especially resource-based cities that provide the majority of raw materials to improve the development of the regional economy. Accordingly, it is crucial for resource-based cities to practice sustainable utilization of mineral resources and sustainable development of the region by appropriate coordination between the economy and the environment. Therefore, a new concept for determining the capacity for sustainable development of resource-based cities (CSDRC) and a conceptual model are proposed from viewpoints of system science and sustainable development. This paper constructs a synthetic evaluation system of CSDRC to assess the sustainable development of resource-based cities from both static and dynamic analyses. Principle Components Analysis (PCA) is adopted to analyze the CSDRC of Panjin City and to statistically compare it with seven similar resource-based cities. After which, the forecast method of Back Propagation (BP) Neural Network is utilized to dynamically measure the developing trends of the CSDRC of Panjin City. The comprehensive evaluation of CSDRC is expected to improve the sustainability evaluation and form the basis of decision-making for sustainable development of resource-based cities in China.<br><br>JEL Classification: Q01, C61, R11

Journal

• Studies in Regional Science

  Studies in Regional Science 40 (2), 353-372, 2010

  JAPAN SECTION OF THE REGIONAL SCIENCE ASSOCIATION INTERNATIONAL

Keywords

• BP Neural Network
• Capacity for Sustainable Development of Resource-based Cities (CSDRC)
• Principle Components Analysis (PCA)
• Resource-based Cities
• Synthetic Evaluation
• Panjin City

Details

• CRID: 1390001204432319744
• NII Article ID: 130000454848
• NII Book ID: AN00140630
• DOI: 10.2457/srs.40.353
• ISSN: 18806465
• ISSN: 02876256
• NDL BIB ID: 10909774
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10909774
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed