中国商品交易市场的综合实力及其时空分异——基于省域单元的实证分析

doi:10.7523/j.issn.2095-6134.2016.03.015

中国科学院大学学报 ›› 2016, Vol. 33 ›› Issue (3): 380-386.DOI: 10.7523/j.issn.2095-6134.2016.03.015

中国商品交易市场的综合实力及其时空分异——基于省域单元的实证分析

蒋自然^1,2, 王万荣³, 朱华友⁴, 吴威¹

1. 中国科学院南京地理与湖泊研究所, 南京 210008;
2. 中国科学院大学, 北京 100049;
3. 中铁城市规划设计研究院, 安徽芜湖 241000;
4. 浙江师范大学经济与管理学院, 浙江金华 321004

收稿日期:2015-09-28 修回日期:2015-11-27 发布日期:2016-05-15
通讯作者: 王万荣
基金资助:
国家自然科学基金(41271136,41571112)和芜湖市专业市场群布局规划项目资助

Comprehensive strength and temporal-spatial discrepancies of Chinese commodity exchange market based on the empirical analysis of the provinces

JIANG Ziran^1,2, WANG Wanrong³, ZHU Huayou⁴, WU Wei¹

1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. China Railway Urban Planning and Design Institute, Wuhu 241000, Anhui, China;
4. College of Economic and Management, Zhejiang Normal University, Jinhua 321004, Zhejiang, China

Received:2015-09-28 Revised:2015-11-27 Published:2016-05-15

摘要/Abstract

摘要：

采用加权TOPSIS方法,选取由规模性、结构性和动态性3类指标构成的评价体系,对中国各省域的商品交易市场进行综合实力评判.发现综合实力存在明显的东中西差异,东部地区已形成以长三角为核心的"东部沿海连绵带".利用密度估计和ESDA对市场实力进行时空演化分析.结果表明:1)市场实力整体上升势头强劲,但上升速度趋缓,"两极化"分异特征明显;2)市场实力在西东方向上呈递增趋势,在南北方向上呈倒"U"字形格局,空间自相关现象明显,但部分省域单元表现出异质性;3)路径依赖、地理环境、技术冲击和开放历程是市场实力时空分异的主要机理.

关键词: 商品交易市场, 加权TOPSIS, 核密度估计, 空间自相关

Abstract:

By applying weighted TOPSIS method, we evaluate the comprehensive strength of Chinese commodity exchange markets from the scale, structure, and speed aspects. The results show that the comprehensive strength of market in eastern region is much stronger than in middle and western regions. Consequently, we study the time-spatial evolution analysis using kernel density estimation and ESDA. The results are given as follows. 1) Though the growth momentum has been strong, some discrepancies occur at separate stages and present polarization phenomenon. 2) The strength of market tends to increase in west-east direction and presents an inverted U-shape, and the space autocorrelation is obvious with some heterogeneity in some provincial units. 3) Path dependence, geographical conditions, technological impact, and the process of opening-up are the dominant mechanisms of spatial-temporal segregation of market strength.

Key words: commodity exchange market, weighted TOPSIS, kernel density estimation, spatial autocorrelation

中图分类号:

F723
K902

蒋自然, 王万荣, 朱华友, 吴威. 中国商品交易市场的综合实力及其时空分异——基于省域单元的实证分析[J]. 中国科学院大学学报, 2016, 33(3): 380-386.

JIANG Ziran, WANG Wanrong, ZHU Huayou, WU Wei . Comprehensive strength and temporal-spatial discrepancies of Chinese commodity exchange market based on the empirical analysis of the provinces[J]. , 2016, 33(3): 380-386.

参考文献

[1] Smith C. The wholesale and retail markets of London,1660-1840[J]. Economic History Review, 2002(1):31-50.
[2] Athreye S S, Keeble D. Specialized markets and the behavior of firms: evidence from the United Kingdom regional economies[J]. International Regional Science Review, 2002,25(1):38-62.
[3] Minc L D. Monitering regional market system in prehistory: models, methods and metrics[J]. Journal of Anthropoligical Archaeology, 2006,25:82-116.
[4] Daunfeldt S O. Entry into Swedish retail and wholesale trade markets[J]. Review of Industrial Organization, 2006,29:213-225.
[5] Larkin S, Degner R. The US wholesale market for marine ornamentals[J]. Aquarium Sciences and Conseration, 2001(3):13-24.
[6] 费孝通. 温州行(中)[J]. 瞭望周刊,1986(21):24-25.
[7] 金祥荣, 柯荣住. 对专业市场的一种交易费用经济学解释[J]. 经济研究,1997(4):74-79.
[8] 张旭亮, 宁越敏. 中国商品交易市场发展时空差异及其形成机理探析[J]. 地理科学,2008,30(8):481-488.
[9] Fredoun Z A, Christopher G L. Wholesal food markets with "Chinese characteristics"[J]. Food Policy,1998, 23 (1):89-103.
[10] Kuchiki A, Tsuji M. From agglomeration to innovation: upgrading industrial clusters in emerging economies[M]. New York: Palgrave Macmillan,2010.
[11] Bellandi M, Lombardi S. Specialized markets and Chinese industrial clusters: the experience of Zhejiang province[J]. China Economic Review,2012,23:626-638.
[12] Wang J M, Gooderham P. Institutional change and regional development in China: the case of commodity trading markets[J]. Environment and Planning C,2013,31:1-20.
[13] 陆立军. 专业市场与电子商务的动态融合机制及路径研究:理论、模型与实证: 以义乌"中国小商品城"为例[M]. 制度经济学研究, 2013(4):158-182.
[14] 许治, 王思卉. 中国各省份出口商品技术复杂度的动态演进[J]. 中国工业经济,2013(8):44-56.

中国商品交易市场的综合实力及其时空分异——基于省域单元的实证分析

Comprehensive strength and temporal-spatial discrepancies of Chinese commodity exchange market based on the empirical analysis of the provinces

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