地理研究 ›› 2019, Vol. 38 ›› Issue (2): 326-336.doi: 10.11821/dlyj020170979

• 研究论文 • 上一篇    下一篇

中国区域投入产出效率的综合测度与时空格局

宋周莺1,2(), 康蕾1(), 刘毅1,2   

  1. 1. 中国科学院地理科学与资源研究所,区域可持续发展分析与模拟重点实验室,北京 100101
    2. 中国科学院大学资源与环境学院,北京 100049
  • 收稿日期:2017-11-01 修回日期:2018-09-28 出版日期:2019-02-20 发布日期:2019-03-08
  • 作者简介:

    作者简介:宋周莺(1983- ),女,浙江缙云人,博士,副研究员,主要从事经济地理、区域发展和国际贸易相关研究。E-mail: songzy@igsnrr.ac.cn

  • 基金资助:
    国家自然科学基金重点项目(41430636)

Spatio-temporal analysis of provincial input-output efficiency in China

Zhouying SONG1,2(), Lei KANG1(), Yi LIU1,2   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2017-11-01 Revised:2018-09-28 Online:2019-02-20 Published:2019-03-08

摘要:

改革开放40多年来,中国经济发展与资源环境之间的矛盾日益突出,资源环境安全面临严峻的挑战。在此背景下,基于要素投入和经济、环境总产出的综合视角,构建区域投入产出效率评价指标体系,应用数据包络分析方法,采用CCR模型、Super-CCR模型,测算1995-2015年间不同时期中国各省区市的投入产出效率,并对其变化趋势及空间分异进行分析。结果表明,全国投入产出效率在波动中呈上升态势,特别是2010年之后投入产出效率提升较明显;2015年,中国区域投入产出效率呈较明显的由东向西、由北向南逐渐降低的空间格局分异。分区域看,东部地区投入产出效率相对最高,其中北京、天津、广东等省市的上升态势明显;东北地区投入产出效率整体偏低,特别是黑龙江的投入产出效率表现为持续下降;中部各省投入产出效率普遍不高,但河南相对较高且2010年较之前提升明显;西部地区投入产出效率的省际差异明显,其中西南各省投入产出效率下降态势较明显。

关键词: 投入产出效率, DEA模型, 时空格局, 省际, 中国

Abstract:

With rapid economic growth, the problem of resources depletion and environmental pollution has become increasingly prominent in China. According to the CO2 emission reduction target, by 2020 the amount of CO2 emission per output unit (GDP) will drop by 40%-45% compared to 2005, and China is facing a severe challenge in national sustainable development. It is against such background that this paper will make a comprehensive examination of regional input and output efficiency, aiming to discover a green and compatible way. From the perspective of the integrated view of factor input and economic-environmental output, this paper establishes provincial input and output efficiency indicator system, and then measures the changing trend and spatial differences of provincial input and output efficiency in China comprehensively, using CCR model and super-CCR mode. The major findings were summarized as follows. First, the input and output efficiency in China is rising, although there are fluctuations; especially after 2010, the efficiency in China has increased significantly, due to the government's efforts of development of green economy. In 2015, the input and output efficiency in China is 1.667, compared to 1.354 in 1995. Second, in 2015, provincial efficiency decreases gradually from eastern to central and western region, from north to south; while the provincial differences have been more significiant, compared to 1995. Third, the input and output efficiency of eastern region is higher than that of other regions, due to obvious location advantages, large economic volume and relatively high resource allocation efficiency. And the efficiency of Beijing, Tianjin and Guangdong has been increasing in the last two decades. The input and output efficiency in the western and northeastern regions are much lower, while Heilongjiang's efficiency has been decreasing since 1995. The input and output efficiency in central region with heavy industrial structure is at the middle level. Among the provinces, Shanxi, Anhui and Hubei have decreased the efficiency, while Henan has increased significantly after financial crisis. There exist clear differences of input and output efficiency in the western region, where the efficiency of most provinces is lower due to the weakness of natural background, too large proportion of energy and raw materials industry. But the efficiency of Qinghai is always the forfront, while that of southwest provinces has an obvious decreasing trend.

Key words: input and output efficiency, DEA model, spatio-temporal pattern, province, China