中国外资利用效率测评及其时空变化研究

doi:10.11820/dlkxjz.2012.06.009

Abstract

Abstract: Improving FDI utilization efficiency is the key way to transfer the mode of using FDI into a quality emphasized strategic one, which has important practical and theoretical significance. Based on this aim, this paper introduces DEA model, chooses labor, capital, capital input indexes and technology spillover, economic and social output to construct an evaluation index system, and analyzes empirically temporal-spatial variation characteristics of FDI utilization efficiency in China. The results show that: 1) FDI utilization efficiency is generally low, and the change range of FDI utilization efficiency is not wide in the past 10 years. The technology efficiency of FDI utilization is higher than scale efficiency of FDI utilization, and the scale efficiency of FDI utilization is higher than comprehensive efficiency of FDI utilization; 2) As for spatiotemporal variations, the change of FDI utilization efficiency in connection with the space differentiation is significant. The spatial distribution patterns of“big concentration-small dispersion”and“big dispersion-small concentration”coexisted in 2000, and the space differentiation changed into“big concentration-small dispersion”pattern in 2009. In the long term FDI utilization efficiency of western China is greater than that of eastern and central China. Thus the western region will be in a dominant position among the regions with diminishing and unchanged return to scale for a long time across the country; 3) The technology and scale efficiency of FDI utilization together determine comprehensive efficiency, and the technical efficiency has stronger decisive effects. The regions whose efficiency in the use of FDI needs to be optimized should pay attention to the first three factors and foreign management as well as monitor the directions of flows and the flow volume of FDI, so that FDI gradually flows out of the redundancy region.

Key words: China, data envelopment analysis (DEA), efficiency, foreign direct investment(FDI), spatio-temporal changes

LIWeiwei, YANG Yongchun, ZHAO Sidong. Research on the Evaluation and Spatiotemporal Changes of FDI Utilization Efficiency in China[J].PROGRESS IN GEOGRAPHY, 2012, 31(6): 733-741.

References

[1] 何跃, 何正林, 马海霞. 基于GMDH和DEA的中国各省市引进FDI 的效率评价. 华东经济管理, 2008, 22(8):42-49.

[2] 陈自芳. 提升FDI外溢效应及引进外资质量的定量化探索. 学术研究, 2005(10): 48-54.

[3] 傅元海, 彭安民. 中国利用FDI质量的评价标准研究. 求索, 2007(11): 20-23.

[4] 傅元海, 谭伟生. 我国利用FDI 质量的实证研究: 基于FDI企业出口外部性的视角. 当代财经, 2009(2): 88-94.

[5] 魏彦莉, 郭继鸣, 梁红霞. 基于DEA方法的利用外资质量的综合评价. 电子科技大学学报: 社科版, 2009, 11(2): 25-28.

[6] 傅元海. 我国不同类型FDI 利用质量的比较. 当代经济研究, 2011(1): 79-85.

[7] 龚晓莺. 提高贵州省外资利用质量的途径. 贵州工业大学学报: 社会科学版, 2006, 8(5): 7-10.

[8] 罗克灵. 提高FDI 在西部的利用质量探讨. 现代商贸工业, 2010(3): 12-13.

[9] 傅元海, 方齐云. 湖南对FDI 的利用质量状况和对策研究. 统计研究, 2007, 24(9): 53-60.

[10] 傅元海, 罗双临. 我国FDI的利用质量空间差异比较. 统计与决策, 2010(3): 121-124.

[11] 王德忠, 刘君德. 外资利用状况评价预警分析: 以浦东新区为例. 经济地理, 1997, 17(1): 21-25.

[12] 祖强, 仲瑞. 我国FDI 利用质量评价指标体系探究及应用. 唯实, 2010(10): 49-54.

[13] 李小建. 外商直接投资对中国沿海地区经济发展的影响. 地理学报, 1999, 54(5): 420-430.

[14] 花俊, 顾朝林, 庄林德. 外资对我国区域经济增长的影响. 经济地理, 2001, 21(6): 696-699.

[15] 陈丽蔷. 外资对东北老工业基地产业结构演进的影响.经济地理, 2005, 25(5): 624-627.

[16] 曹广喜. FDI 对中国区域创新能力溢出效应的实证研究: 基于动态面板数据模型. 经济地理, 2009, 29(6):894-899.

[17] 李利, 袁闯, 邱会亮. FDI 对我国区域技术进步效应的实证分析. 经济地理, 2009, 29(12): 1981-1984.

[18] 高觉民, 李金钢. 陕西外资配置效率研究. 陕西经贸学院学报, 2000, 13(1): 36-39.

[19] 胡宜朝, 雷明. 中国分省区FDI 的引进效率评价与解析.数量经济技术经济研究, 2006(5): 64-73.

[20] 宁自军. 江浙两省FDI 引进效率差异及影响因素分析.统计研究, 2007, 24(6): 53-57.

[21] 易广杰. 谈利用外资的效率问题. 理论界, 1997(5):15-16.

[22] 刘忠生, 李东. 中国内资与外资的效率差异及收敛性分析. 数量经济技术经济研究, 2009(5): 54-67.

[23] 赵志坚, 温力强. 中国汽车产业内外资企业生产效率研究. 经济数学, 2009, 26(1): 81-86.

[24] 王俊松, 贺灿飞. 集聚经济、外资溢出效应与中国汽车企业效率. 地理科学进展, 2009, 28(3): 337-344.

[25] 赵婷婷, 冯德连. 中国中部六省利用外资效率的比较研究. 西安财经学院学报, 2011, 24(27): 37-41.

[26] 熊姿. 皖江城市带利用外资效率分析. 铜陵学院学报,2011(2): 58-61.

[27] 米运生, 程昆. FDI 生产效率、配置效率的非对称性与中国区域经济收敛. 中央财经大学学报, 2007(7): 75-80

[28] 米运生, 李永杰. 中国FDI 区域配置效率:总体特征与地区差异. 南方经济, 2006(6): 87-99

[29] 王细芳, 冯凯. 我国外资利用效率: 基于Oa 模型的实证研究. 国际贸易问题, 2006(1): 80-84

[30] 赵锦春. 基于Malmquist 指数的安徽省FDI 利用效率研究. 现代商贸工业, 2010(24): 7-8.

[31] 魏权龄. 评价相对有效性的DEA 方法: 运筹学的新领域. 北京: 中国人民大学出版社, 1988.

[32] 魏权龄. 数据包络分析(DEA). 科学通报, 2000, 17(9):1793-1808.

[33] 郭腾云, 徐勇, 王志强. 基于DEA的中国特大城市资源效率及其变化. 地理学报, 2009, 64(4): 408-416

[34] 魏权龄. 数据包络分析. 北京:科学出版社, 2004: 75-82.

[35] Cobb CW, Douglas P H. A theory of production. AmericanEconomic Review, 1928, 18(1): 139-165.

[36] 郭国峰, 郑召锋. 基于DEA模型的环境治理效率评价:以河南为例. 经济问题, 2009, 1: 48-51.

[37] 方创琳, 宋吉涛, 蔺雪芹, 等. 中国城市群可持续发展理论与实践. 北京: 科学出版社, 2010: 231.

[38] Scheel H. Undesirable outputs in efficiency valuations,European Journal of Operational Research, 2001, 132(2):400-410.

Research on the Evaluation and Spatiotemporal Changes of FDI Utilization Efficiency in China

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	CHEN Zhuo, LIANG Yi, JIN Fengjun. Simulation of city network accessibility and its influence on regional development pattern in China based on integrated land transport system [J]. PROGRESS IN GEOGRAPHY, 2021, 40(2): 183-193.
[2]	JIANG Wanbei, LIU Weidong, LIU Zhigao, HAN Mengyao. Inequality and driving forces of energy-related CO₂ emissions intensity in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1425-1435.
[3]	HUANG Yingze, QIU Bingwen, HE Yuhua, ZHANG Ke, ZOU Fengli. Optimal elevation interval of rice expansion in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1557-1564.
[4]	HU Guojian, LU Yuqi. Progress, thoughts, and prospect of urban network research based on enterprise perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1587-1596.
[5]	FU Zhanhui, MEI Lin, ZHENG Rumin, WANG Tongtong. Spatial differentiation mechanism of urban female employment rate in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1308-1318.
[6]	ZHU Shengjun, HUANG Yongyuan, HU Xiaohui. Research framework and prospect of industrial value chain upgrading and spatial upgrading based on a multiple scale perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1367-1384.
[7]	DU Xinru, LU Zi, LI Renjie, DONG Yaqing, GAO Wei. Estimation of time delay cost of hub airports in China, air routes effect and comparison with the United States [J]. PROGRESS IN GEOGRAPHY, 2020, 39(7): 1160-1171.
[8]	LIU Xiaopeng, CHENG Jing, ZHAO Xiaoyong, MIAO Hong, WEI Jingyi, ZENG Duan, MA Cunxia. Sustainable poverty reduction of China in a view of development geography [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 892-901.
[9]	ZHOU Guohua, ZHANG Rujiao, HE Yanhua, DAI Liuyan, ZHANG Li. Optimization of rural settlements and the governance of rural relative poverty [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 902-912.
[10]	TAN Xuelan, JIANG Lingxiao, WANG Zhenkai, AN Yue, CHEN Min, REN Hui. Rural poverty in China from the perspective of geography: Origin, progress, and prospect [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 913-923.
[11]	GUO Jianke, HOU Yajie, HE Yao. Characteristics of change of the China-Europe port shipping network under the Belt and Road Initiative [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 716-726.
[12]	SUN Na, ZHANG Meiqing. Network structure and evolution characteristics of cities in China based on high-speed railway transport flow [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 727-737.
[13]	DU Delin, WANG Jiaoe, WANG Yi. Market structure and competition of the three major airlines in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 367-376.
[14]	DUAN Qianwen, TAN Minghong. Temporal and spatial changes of urban forests in major cities in China and abroad [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 410-419.
[15]	ZHOU Meijun, LI Fei, SHAO Jiaqi, YANG Haijuan. Change characteristics of maize production potential under the background of climate change in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 443-453.