A New Paradigm for Simulating and Forecasting China's Economic Growth in the Medium and Long Term

被引:0
|
作者
SUN Dongqi [1 ,2 ]
LU Jiayi [1 ,2 ]
机构
[1] Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences
[2] College of Resources and Environment, University of Chinese Academy of Sciences
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
F124 [经济建设和发展];
学科分类号
0201 ; 020105 ;
摘要
Taking the system philosophy of human-earth relationship as the theoretical axis, and under the three-dimensional goals of economic growth, social development, and protection of the ecological environment, this paper constructs the supporting system of China’s economic development. On this basis, guided by the basic principles of system theory and system dynamics, and combined with the theories of other related disciplines, we constructed an economic geography-system dynamics(EG-SD) integrated forecasting model to simulate and quantitatively forecast China’s economic growth in the medium and long term. China’s economic growth will be affected by quantifiable and unquantifiable factors. If the main unquantifiable factors are not taken into account in the simulation and prediction of China’s economic growth in the medium and long term, the accuracy and objectivity of the prediction results will be diminished. Therefore, based on situation analysis(Strengths, Weaknesses, Opportunities, and Threats, SWOT), we combined scenario analysis with the Delphi method, and established a qualitative prediction simulation model(referred to as the S-D compound prediction model) to make up for the shortcomings associated with quantitative simulation predictions. EG-SD and S-D are organically combined to construct a simulation and prediction paradigm of China’s economic growth in the medium and long term. This paradigm not only realizes the integration of various forecasting methods and the combination of qualitative and quantitative measures, but also realizes the organic combination of unquantifiable and quantifiable elements by innovatively introducing fuzzy simulation of system dynamics,which renders the simulation and prediction results more objective and accurate.
引用
收藏
页码:64 / 78
页数:15
相关论文
共 50 条
  • [32] MEDIUM-TERM ECONOMIC-GROWTH AND NEOCLASSICAL THEORY OF ECONOMIC-GROWTH
    RIESE, H
    KYKLOS, 1965, 18 (01) : 80 - 106
  • [33] Study on medium and long term power load forecasting in cold regions
    Li, Jian
    Jiang, Zhenhuan
    PROGRESS IN CIVIL ENGINEERING, PTS 1-4, 2012, 170-173 : 3472 - 3477
  • [34] Theoretical study of combination model for medium and long term load forecasting
    Mao, Li-Fan
    Yao, Jian-Gang
    Jin, Yong-Shun
    Chen, Hua-Lin
    Li, Wen-Jie
    Guan, Shi-Lei
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2010, 30 (16): : 53 - 59
  • [35] Application of Improved Grey Model in Medium and Long Term Load Forecasting
    Che, Xuan
    3RD INTERNATIONAL CONFERENCE ON ENERGY EQUIPMENT SCIENCE AND ENGINEERING (ICEESE 2017), 2018, 128
  • [36] Intelligence based Accurate Medium and Long Term Load Forecasting System
    Butt, Faisal Mehmood
    Hussain, Lal
    Jafri, Syed Hassan Mujtaba
    Alshahrani, Haya Mesfer
    Al-Wesabi, Fahd N.
    Lone, Kashif Javed
    El Din, Elsayed M. Tag
    Al Duhayyim, Mesfer
    APPLIED ARTIFICIAL INTELLIGENCE, 2022, 36 (01)
  • [37] The medium and long-term load forecasting based on improved D-S evidential theory
    Wu, Yaowu
    Lou, Suhua
    Lu, Siyu
    Qiao, Hui
    Kang, Futian
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2012, 27 (08): : 157 - 162
  • [38] Fertility and long-term economic growth
    Huang, Kaixing
    ECONOMIC INQUIRY, 2024, 62 (03) : 1152 - 1171
  • [39] LONG-TERM ECONOMIC PLANNING FOR GROWTH
    不详
    NATURE, 1965, 206 (4989) : 1101 - &
  • [40] GOVERNMENT DEBT AND LONG-TERM ECONOMIC GROWTH IN THE WORLD'S REGIONS
    Semjonova, Nadezhda
    ECONOMIC SCIENCE FOR RURAL DEVELOPMENT: FINANCE AND TAXES - NEW DIMENSIONS IN THE DEVELOPMENT OF SOCIETY, 2014, (33): : 56 - 65