地理科学进展 ›› 2023, Vol. 42 ›› Issue (6): 1025-1038.doi: 10.18306/dlkxjz.2023.06.001

• 研究论文 •    下一篇

全要素生产率视域下中国海洋经济增长动力机制研究

孙才志1,2(), 梁宗红1,2, 翟小清1,2   

  1. 1.教育部人文社科重点研究基地,辽宁师范大学海洋经济与可持续发展研究中心,辽宁 大连 116029
    2.辽宁省“海洋经济高质量发展”高校协同创新中心,辽宁 大连 116029
  • 收稿日期:2023-02-22 修回日期:2023-03-27 出版日期:2023-06-28 发布日期:2023-06-26
  • 作者简介:孙才志(1970— ),男,山东烟台人,教授,博士生导师,研究方向为水资源经济与海洋经济地理。E-mail: suncaizhi@lnnu.edu.cn
  • 基金资助:
    教育部人文社会科学重点研究基地重大课题(22JJD790029)

Dynamic mechanism of China’s marine economic growth from the perspective of total factor productivity

SUN Caizhi1,2(), LIANG Zonghong1,2, ZHAI Xiaoqing1,2   

  1. 1. Key Research Base of Humanities and Social Sciences of the Ministry of Education, Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China
    2. University Collaborative Innovation Center of Marine Economy High-Quality Development of Liaoning Province, Dalian 116029, Liaoning, China
  • Received:2023-02-22 Revised:2023-03-27 Online:2023-06-28 Published:2023-06-26
  • Supported by:
    The Ministry of Education Major Project of Key Research Institute of Humanities and Social Sciences in University(22JJD790029)

摘要:

中国已经进入海洋经济高质量发展阶段,海洋经济全要素生产率是高质量发展水平的重要表征,然而鲜有研究从4类资本视角探讨其增长的动力机制。论文利用基于超越对数生产函数的随机前沿(Translog-SFA)模型测度沿海地区海洋经济全要素生产率,通过构建自然、知识、社会、制度4类资本及外部环境因素的评价指标体系来识别发展的动力机制。结果表明:(1) 沿海地区平均资本要素禀赋水平稳步上升,各类资本积累速度呈现“慢—快—慢”的发展趋势,区域禀赋存在较大差异。(2) 沿海地区平均海洋经济全要素生产率呈上升态势,属于中等水平,但增速缓慢,区域差异明显,存在一定的“路径依赖”。(3) 2000—2012、2013—2020年沿海地区海洋经济全要素生产率主要驱动力分别为自然资本、知识资本;北部、中部、南部经济圈2000—2012年主要驱动力均为自然资本,2013—2020年主要驱动力分别为自然资本、社会资本、制度资本,自然资本驱动力不断减小,知识资本、社会资本、制度资本驱动力逐渐增强。研究结果可为各地制定差异化海洋经济发展政策提供借鉴。

关键词: 全要素生产率, 高质量发展, SFA模型, 资本要素禀赋, 动力机制

Abstract:

China's marine economy has entered the stage of high-quality development. Total factor productivity of the marine economy, as an important indicator reflecting the structural optimization, technological progress, and management innovation of marine development, is an important characterization of high-quality development level. The improvement of total factor productivity is not only driven by traditional factors such as capital and labor. Although the system theory and an overall perspective should be adopted to constantly explore and discover new drivers of marine economic growth, most of the existing studies are based on a single or a few limited driving factors. Most of them focus on traditional factors such as nature and material, and lack analysis of the common driving mechanism and effects of natural, intellectual, social, and institutional capitals on economic growth. Therefore, in order to explore the dynamic mechanism of total factor productivity of the marine economy, this study used a Translog-stochastic frontier analysis (SFA) model based on a transcendental logarithmic production function to measure the total factor productivity of the marine economy in coastal areas from 2000 to 2020, and identified the dynamic mechanism of development by constructing an evaluation indicator system including natural, intellectual, social, institutional, and external environment factors. The results showed that: 1) The average level of capital factor endowment increased steadily with a significant growth rate, and the accumulation rate of various types of capital generally presented a slow-fast-slow growing trend. The regional factor endowment of various types of capital was quite different. 2) The average total factor productivity of the marine economy was on the rise, which is at the medium level. The growth rate was slow, the regional difference was obvious, and growth showed certain path dependence. 3) The total factor productivity of the marine economy was mainly driven by natural capital in 2000-2012 and by intellectual capital in 2013-2020. The total factor productivity of the marine economy in the northern, central, and southern marine economic zones were mainly driven by natural capital from 2000 to 2012 and by natural, social, and institutional capital respectively from 2013 to 2020. The driving force of natural capital was decreasing, and the driving forces of intellectual, social, and institutional capitals were increasing. The research results can be used as a reference in formulating differentiated marine economic development policies.

Key words: total factor productivity, high-quality development, SFA model, capital of factor endowment, driving mechanism