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

doi:10.7523/j.issn.2095-6134.2016.03.015

›› 2016, Vol. 33 ›› Issue (3): 380-386.DOI: 10.7523/j.issn.2095-6134.2016.03.015

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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 Online:2016-05-15

Abstract

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

CLC Number:

F723
K902

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.

References

[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.

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

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