Please wait a minute...
 首页  期刊介绍 期刊订阅 广告合作 联系我们 English
 
最新录用  |  当期目录  |  过刊浏览  |  热点文章  |  阅读排行  |  下载排行  |  引用排行
地理研究    2018, Vol. 37 Issue (7): 1282-1296     DOI: 10.11821/dlyj201807003
  本期目录 | 过刊浏览 | 高级检索 |
中国新企业成立空间差异的影响因素——以金属制品业为例
史进1(),贺灿飞2()
1. 浙江工业大学经贸管理学院,杭州 310023
2. 北京大学城市与环境学院,北京 100871
Determinants of the spatial variation of new firm formation in China's metal product industry
SHI Jin1(),HE Canfei2()
1. College of Business and Management, Zhejiang University of Technology, Hangzhou 310023, China
2. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
全文: PDF (1844 KB)   HTML
输出: BibTeX | EndNote (RIS)     
摘要 

新企业是产业空间重构的重要驱动力。采用1998-2007年中国工业企业数据库,以金属制品业为例,发现金属制品业新企业成立的活跃地区由东部沿海转向中西部地区,特别是中部地区。随后建立“全球链接、区域竞争和地方环境”的分析框架,通过城市层面的面板Tobit模型,考察新企业成立空间差异的影响因素,并突出企业效率在这些因素作用过程中的影响。研究发现:① 外向型城市有利于新企业成立;低效率的新企业只是追求劳动力的低成本,但是高效率的新企业还能兼顾劳动力的高质量。② 区域市场潜力大的城市有利于新企业成立。③ 市场化环境好的城市有利于新企业成立,地方化经济对新企业成立无显著影响,而适度的相关多样化能够促进高效率新企业成立。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
史进
贺灿飞
关键词 新企业成立空间差异企业异质性金属制品业面板Tobit模型 
Abstract

New firm formation is one of the driving forces of spatial restructuring of industries because it represents entrepreneurship in a regional context. Its spatial variation has attracted growing attention among economic geographers, regional analysts as well as policy makers. Existing research seems to overemphasize local factors (e.g. market demand, labor supply, agglomeration economies and the level of economic freedom) at the expense of regional, national, and global factors. Using the Annual Survey of Industrial Firms from 1998 to 2007 in China, this paper takes the metal product industry as an example to explore the determinants of the spatial variation of new firm formation. By calculating the rate of new firm formation using the ecological approach at the city level, it reveals that the hot spot of start-ups in the metal product industry shifted from coastal to inland China, especially towards the central region. It then establishes an analytical framework which not only encompasses multi-scalar factors, namely 'global linkage, regional competition, and local environment', but also takes firm heterogeneity into consideration. The random effect panel Tobit model at city level suggests three major findings. (1) To the extent of global linkage, new firms were disposed to locate in export-oriented cities endowed with cheap labor; the more the city was closely linked to the world market, the greater the attraction of cheap labor was. Low-efficient start-ups would run after cheap labor, but their high-efficient counterparts were able to strike a balance between labor cost and labor quality. (2) To the extent of regional competition, cities with large market potential would foster new firm formation. (3) To the extent of local environment, new firms were attracted to cities with a higher level of marketization. Localization economies have no significant effect on new firm formation whereas related variety only fosters high-efficient start-ups. This paper enriches the empirical research on the spatial variation and its determinants of new firm formation in China by providing evidence for the metal product industry, which is labor intensive, and domestic market oriented with a moderate level of technology. It also provides reference to local governments on policy incentives for start-ups, which is particularly relevant against the backdrop of 'mass entrepreneurship and innovation' campaign recently in China.

Key wordsnew firm formation    spatial variation    firm heterogeneity    metal product industry    panel Tobit model
收稿日期: 2018-01-11      出版日期: 2018-08-03
基金资助:国家自然科学基金项目(41601109,41731278);国家杰出青年科学基金项目(41425001)
引用本文:   
史进, 贺灿飞 . 中国新企业成立空间差异的影响因素——以金属制品业为例[J]. 地理研究, 2018, 37(7): 1282-1296.
SHI Jin, HE Canfei . Determinants of the spatial variation of new firm formation in China's metal product industry[J]. GEOGRAPHICAL RESEARCH, 2018, 37(7): 1282-1296.
链接本文:  
http://www.dlyj.ac.cn/CN/10.11821/dlyj201807003      或      http://www.dlyj.ac.cn/CN/Y2018/V37/I7/1282
Fig. 1  新企业成立空间差异的分析框架
Fig. 2  中国金属制品业新企业成立率的空间差异
出口比例 (劳动力
成本)
(劳动力
质量)
劳动力 区域
市场潜力
地方化
经济
相关
多样化
国有
企业比例
比较优势 利润率 小企业比例
出口比例 1.000
(劳动力成本) 0.176*** 1.000
(劳动力质量) 0.051*** 0.541*** 1.000
劳动力 0.064*** 0.765*** 0.834*** 1.000
区域市场潜力 0.235*** 0.528*** 0.483*** 0.449*** 1.000
地方化经济 0.414*** 0.225*** 0.099*** 0.118*** 0.406*** 1.000
相关多样化 0.013 0.109*** 0.144*** 0.120*** 0.253*** 0.267*** 1.000
国有企业比例 -0.181*** -0.230*** -0.307*** -0.202*** -0.356*** -0.133*** -0.125*** 1.000
比较优势 0.351*** 0.052*** 0.009 0.006 0.145*** 0.336*** 0.131*** -0.052*** 1.000
利润率 0.069*** 0.092*** 0.158*** 0.102*** 0.112*** 0.048*** 0.051*** -0.251*** 0.040** 1.000
小企业比例 -0.128*** 0.087*** 0.146*** 0.137*** 0.019 -0.064*** -0.035* 0.080*** -0.159*** -0.033* 1.000
Tab. 3  新企业成立模型的自变量相关系数
考察维度 变量名称 变量英文名称 预期符号
全部新企业 高效率新企业 低效率新企业
全球链接 出口比例 ExportShare + + +
劳动力 Labor 不显著 + 不显著
劳动力×出口比例 Labor×ExportShare - - -
区域竞争 区域市场潜力 MarketPotential + + +
地方环境 地方化经济 LocalEcon + + +
地方化经济的平方 LocalEcon2 - - -
相关多样化 RelatedVariety + + 不显著
相关多样化的平方 RelatedVariety2 - - 不显著
国有企业比例 StateFirmShare - - -
比较优势 ComparativeAdvantage + 不显著 +
控制变量 利润率 ProfitRate + + +
小企业比例 SmallFirmShare + + +
Tab. 1  新企业成立模型的自变量名称与预期符号
变量名称 单位 观测值数 城市数 平均值 标准差 最小值 最大值
出口比例 % 2761 319 10.1 0.17 0.0 93.5
劳动力成本 千元/人 2747 318 10.7 6.66 2.4 92.2
劳动力质量 千元/人 2748 318 203.7 183.48 5.3 1917.4
区域市场潜力 千元/m 3330 333 4636.5 4067.88 323.0 33103.4
地方化经济 人/km2 3210 321 0.9 3.39 0.0 50.3
相关多样化 人/km2 3340 334 1.4 3.44 0.0 30.7
国有企业比例 % 2777 319 17.2 0.28 0.0 100.0
比较优势 3370 337 0.2 0.41 0 1
利润率 % 2754 319 -0.2 0.24 -168.7 28.6
小企业比例 % 2777 319 28.1 0.26 0.0 100.0
Tab. 2  新企业成立模型的自变量描述性统计
变量名称 全部新企业 高效率新企业 低效率新企业 极高效率新企业 极低效率新企业
出口比例 0.126*** 0.119*** 0.0800** 0.0620** 0.102**
(0.0397) (0.0337) (0.0390) (0.0299) (0.0443)
劳动力 -0.0177 0.293** -0.194 0.346*** -0.128
(0.177) (0.141) (0.189) (0.128) (0.185)
劳动力×出口比例 -1.540** -1.074* -0.728 -0.348 -2.576**
(0.719) (0.554) (0.711) (0.521) (1.286)
区域市场潜力 0.0116*** 0.00899*** 0.0126*** 0.00781*** 0.0116***
(0.00267) (0.00225) (0.00259) (0.00193) (0.00258)
地方化经济 -0.00652 0.00167 -0.00283 0.00565* 0.00216
(0.00452) (0.00372) (0.00434) (0.00311) (0.00430)
地方化经济的平方 0.0000477 -0.000122 -0.0000149 -0.000189** -0.000123
(0.000120) (0.0000966) (0.000116) (0.0000868) (0.000112)
相关多样化 0.00515 0.00869** 0.000861 0.00799*** 0.00422
(0.00391) (0.00345) (0.00378) (0.00278) (0.00382)
相关多样化的平方 -0.000213 -0.000468*** -0.0000282 -0.000423*** -0.000255
(0.000173) (0.000162) (0.000165) (0.000133) (0.000170)
国有企业比例 -0.117*** -0.0888*** -0.108*** -0.0952*** -0.0909***
(0.0244) (0.0229) (0.0248) (0.0232) (0.0253)
比较优势 -0.00168 0.00157 0.0104 0.0112 0.0152
(0.0127) (0.0111) (0.0125) (0.00993) (0.0125)
利润率 0.0764* 0.0198 0.0578 0.0197 0.0228
(0.0461) (0.0361) (0.0443) (0.0390) (0.0353)
小企业比例 0.0358 0.0287 0.0270 0.0359* 0.0328
(0.0218) (0.0197) (0.0222) (0.0193) (0.0222)
个体特征的方差 0.0593*** 0.0541*** 0.0489*** 0.0000000727*** 0.0526***
(0.00790) (0.00641) (0.00846) (0.0000000125) (0.00769)
随机扰动的方差 0.181*** 0.134*** 0.176*** 0.133*** 0.161***
(0.00430) (0.00406) (0.00472) (0.00471) (0.00490)
时间固定效应 已加入 已加入 已加入 已加入 已加入
常数项 已加入 已加入 已加入 已加入 已加入
Wald检验的统计量 258.60 190.09 220.12 180.47 198.33
城市数量 306 306 306 306 307
左截取的观察值数量 1163 1606 1415 1844 1617
全部观察值数量 2359 2359 2359 2359 2359
Tab. 4  新企业成立空间差异影响因素的回归结果
变量名称 全部新企业 高效率新企业 低效率新企业 极高效率新企业 极低效率新企业
出口比例 0.00124** 0.00135*** 0.000808* 0.000918* 0.00123**
(0.000518) (0.000470) (0.000467) (0.000511) (0.000544)
劳动力 0.00152 0.00370* -0.000220 0.00425** 0.000623
(0.00218) (0.00191) (0.00208) (0.00201) (0.00211)
劳动力×出口比例 -0.0191** -0.0122* -0.0107 -0.00614 -0.0370**
(0.00883) (0.00742) (0.00803) (0.00761) (0.0157)
区域市场潜力 0.000110*** 0.0000958*** 0.000133*** 0.000107*** 0.000139***
(0.0000350) (0.0000311) (0.0000310) (0.0000329) (0.0000317)
地方化经济 -0.0000563 0.0000356 -0.0000166 0.0000716 0.0000449
(0.0000594) (0.0000519) (0.0000520) (0.0000537) (0.0000529)
地方化经济的平方 0.000000210 -0.00000178 -0.000000438 -0.00000225* -0.00000183
(0.00000152) (0.00000131) (0.00000135) (0.00000136) (0.00000135)
相关多样化 0.0000480 0.000116** -0.00000855 0.000102** 0.0000301
(0.0000534) (0.0000491) (0.0000465) (0.0000508) (0.0000478)
相关多样化的平方 -0.00000152 -0.00000612*** 0.000000756 -0.00000496** -0.00000224
(0.00000234) (0.00000229) (0.00000202) (0.00000233) (0.00000213)
国有企业比例 -0.00153*** -0.00115*** -0.00143*** -0.00125*** -0.00117***
(0.000320) (0.000319) (0.000299) (0.000372) (0.000314)
比较优势 -0.0000838 0.0000303 0.0000319 0.000100 0.000109
(0.000165) (0.000154) (0.000150) (0.000167) (0.000154)
利润率 0.000693 0.000248 0.000416 0.000140 0.000149
(0.000515) (0.000481) (0.000446) (0.000542) (0.000400)
小企业比例 0.00118*** 0.000860*** 0.000815*** 0.000716** 0.000689**
(0.000279) (0.000268) (0.000259) (0.000302) (0.000269)
个体特征的方差 0.000951*** 0.000837*** 0.000721*** 0.000787*** 0.000724***
(0.000103) (0.0000923) (0.0000940) (0.000111) (0.0000876)
随机扰动的方差 0.00218*** 0.00176*** 0.00196*** 0.00177*** 0.00189***
(0.0000518) (0.0000528) (0.0000523) (0.0000636) (0.0000561)
时间固定效应 已加入 已加入 已加入 已加入 已加入
常数项 已加入 已加入 已加入 已加入 已加入
Wald检验的统计量 235.73 166.40 215.82 132.44 200.44
城市数量 306 306 306 306 306
左截取的观察值数量 1162 1605 1414 1843 1616
全部观察值数量 2358 2358 2358 2358 2358
Tab. 5  新企业成立空间差异影响因素的回归结果(稳健性检验)
[3] 曲玥, 蔡昉, 张晓波. “飞雁模式”发生了吗?对1998-2008年中国制造业的分析. 经济学(季刊), 2013, 12(3): 757-776.http://d.wanfangdata.com.cn/Periodical/jjx201302001
[Qu Yue, Cai Fang, Zhang Xiaobo.Has the "flying geese" occurred in China? An analysis on China's manufacturing industries from 1998 to 2008. China Economic Quarterly, 2013, 12(3): 757-776.]
[4] Keeble D, Walker S.New firms, small firms and dead firms: Spatial patterns and determinants in the United Kingdom. Regional Studies, 1994, 28(4): 411-427.http://www.tandfonline.com/doi/abs/10.1080/00343409412331348366
[5] Carree M A.Does unemployment affect the number of establishments? A regional analysis for US states. Regional Studies, 2002, 36(4): 389-398.http://www.tandfonline.com/doi/abs/10.1080/00343400220131151
[6] Armington C, Acs Z J.The determinants of regional variation in new firm formation. Regional Studies, 2002, 36(1): 33-45.http://www.tandfonline.com/doi/abs/10.1080/00343400120099843
[7] Campbell N D, Rogers T M, Heriot K C.The economic freedom index as a determinant of firm births and firm deaths. Southwest Business & Economics Journal, 2008, 16: 37-50.
[8] Cheng S.Business cycle, industrial composition, or regional advantage? A decomposition analysis of new firm formation in the United States. The Annals of Regional Science, 2011, 47(1): 147-167.http://link.springer.com/10.1007/s00168-009-0361-0
[9] Giarratana M S, Torrisi S.Foreign entry and survival in a knowledge-intensive market: Emerging economy countries' international linkages, technology competences, and firm experience. Strategic Entrepreneurship Journal, 2010, 4(1): 85-104.http://doi.wiley.com/10.1002/%28ISSN%291932-443X
[10] 刘卫东. 经济地理学思维. 北京: 科学出版社, 2013.
[Liu Weidong.Ways of Thinking in Economic Geography. Beijing: Science Press, 2013.]
[11] Zhu S, He C.Global, regional and local: New firm formation and spatial restructuring in China's apparel industry. GeoJournal, 2014, 79(2): 237-253.http://link.springer.com/10.1007/s10708-013-9484-z
[12] Audretsch D B, Fritsch M.On the measurement of entry rates. Empirica, 1994, 21(1): 105-113.http://link.springer.com/10.1007/BF01383974
DOI: 10.1007/BF01383974     
[13] Olley G S, Pakes A.The dynamics of productivity in the telecommunications equipment industry. Working Paper 3977. Cambridge, MA: National Bureau of Economic Research, 1992..http://www.nber.org/papers/w3977
[14] Estrin S, Prevezer M.A survey on institutions and new firm entry: How and why do entry rates differ in emerging markets?. Economic Systems, 2010, 34(3): 289-308.http://linkinghub.elsevier.com/retrieve/pii/S093936251000035X
[15] Gereffi G, Humphrey J, Sturgeon T.The governance of global value chains. Review of International Political Economy, 2005, 12(1): 78-104.http://www.tandfonline.com/doi/abs/10.1080/09692290500049805
[16] 周浩, 余壮雄, 杨铮. 可达性、集聚和新建企业选址: 来自中国制造业的微观证据. 经济学(季刊), 2015, 14(4): 1393-1416.
[Zhou Hao, Yu Zhuangxiong, Yang Zheng.Accessibility, agglomeration and new firm location: Micro evidence from Chinese manufacturing. China Economic Quarterly, 2015, 14(4): 1393-1416.]
[17] Harris C D.The market as a factor in the localization of industry in the United States. Annals of the Association of American Geographers, 1954, 44(4): 315-348.http://www.tandfonline.com/doi/abs/10.1080/00045605409352140
[18] Fujita M, Krugman P R, Venables A J.The Spatial Economy: Cities, Regions, and International Trade.Cambridge, MA: MIT Press, 2001.
[19] 王俊松. 集聚经济与中国制造业新企业区位选择. 哈尔滨工业大学学报: 社会科学版, 2011, 13(6): 19-26.http://www.cqvip.com/QK/84072X/201106/40840487.html [Wang Junsong.Agglomeration economies and new firm location of China's manufacturing industry. Journal of HIT: Social Science Edition, 2011, 13(6): 19-26.]
[20] 刘修岩, 张学良. 集聚经济与企业区位选择: 基于中国地级区域企业数据的实证研究. 财经研究, 2010, 36(11): 83-92.http://d.wanfangdata.com.cn/Periodical_cjyj201011008.aspx
[Liu Xiuyan, Zhang Xueliang.Agglomeration economy and firm location choice: Evidence from prefectural data of firms in China. Journal of Finance and Economics, 2010, 36(11): 83-92.]
[21] Arrow K J.The economic implications of learning by doing. The Review of Economic Studies, 1962, 29(3): 155-173.https://academic.oup.com/restud/article-lookup/doi/10.2307/2295952
[1] Fritsch M, Storey D J.Entrepreneurship in a regional context: Historical roots, recent developments and future challenges. Regional Studies, 2014, 48(6): 939-954.http://www.tandfonline.com/doi/abs/10.1080/00343404.2014.892574
[2] Wei Y D.Decentralization, marketization, and globalization: The triple processes underlying regional development in China. Asian Geographer, 2001, 20(1-2): 7-23.http://www.tandfonline.com/doi/abs/10.1080/10225706.2001.9684073
[22] Marshall A.Principles of Economics. London:Macmillan and Company, 1890.
[23] Romer P M.Increasing returns and long-run growth. Journal of Political Economy, 1986, 94(5): 1002-1037.https://www.journals.uchicago.edu/doi/10.1086/261420
DOI: 10.1086/261420     
[24] 郭琪, 贺灿飞, 史进. 空间集聚、市场结构对城市创业精神的影响研究: 基于2001-2007年中国制造业的数据. 中国软科学, 2014, (5): 107-117.http://d.wanfangdata.com.cn/Periodical/zgrkx201405011 [Guo Qi, He Canfei, Shi Jin.The influence of agglomeration and market structure on urban entrepreneurship in China. China Soft Science, 2014, (5): 107-117.]
[25] Jacobs J.The Economy of Cities. New York: Vintage, 1969.
[26] Frenken K, van Oort F G, Verburg T. Related variety, unrelated variety and regional economic growth. Regional Studies, 2007, 41(5): 685-697.http://www.tandfonline.com/doi/abs/10.1080/00343400601120296
[27] Nooteboom B.Learning and Innovation in Organizations and Economies. Oxford, UK: Oxford University Press, 2000.
[28] 刘鑫, 贺灿飞. 技术关联与城市产业增长研究. 地理研究, 2016, 35(4): 717-730.http://d.wanfangdata.com.cn/Periodical/dlyj201604010
[Liu Xin, He Canfei.Relatedness and urban industrial growth. Geographical Research, 2016, 35(4): 717-730.]
[29] 陈曦, 席强敏, 李国平. 制造业内部产业关联与空间分布关系的实证研究. 地理研究, 2015, 34(10): 1943-1956.
[Chen Xi, Xi Qiangmin, Li Guoping.Industrial linkage and spatial distribution of manufacturing industry. Geographical Research, 2015, 34(10): 1943-1956.]
[30] Delgado M, Porter M E, Stern S.Clusters and entrepreneurship. Journal of Economic Geography, 2010, 10(4): 495-518.https://academic.oup.com/joeg/article-lookup/doi/10.1093/jeg/lbq010
DOI: 10.1093/jeg/lbq010     
[31] Tran H T, Santarelli E.Spatial heterogeneity, industry heterogeneity, and entrepreneurship. The Annals of Regional Science, 2017, 59(1): 69-100.http://link.springer.com/10.1007/s00168-017-0819-4
[32] Cohen W M, Levinthal D A.Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 1990, 35(1): 128-152.https://www.jstor.org/stable/2393553?origin=crossref
DOI: 10.2307/2393553     
[33] 刘颖, 郭琪, 贺灿飞. 城市区位条件与企业区位动态研究. 地理研究, 2016, 35(7): 1301-1313.http://www.cqvip.com/QK/95732X/201607/669497295.html [Liu Ying, Guo Qi, He Canfei.Urban characteristics and firms' location selection. Geographical Research, 2016, 35(7): 1301-1313.]
[34] Arauzo-Carod J-M, Teruel-Carrizosa M. An urban approach to firm entry: The effect of urban size. Growth and Change, 2005, 36(4): 508-528.http://www.blackwell-synergy.com/toc/grow/36/4
[35] Su F, Tao R, Xi L, et al.Local officials' incentives and China's economic growth: Tournament thesis reexamined and alternative explanatory framework. China & World Economy, 2012, 20(4): 1-18.
[36] 李德瑜. 技术关联与城市产业演化研究. 北京: 北京大学硕士学位论文, 2014.http://162.105.138.200/uhtbin/cgisirsi/x/0/0/5?searchdata1=^C3293991
[Li Deyu.Technological Relatedness and Industrial Evolution in Cities. Beijing: Master Dissertation of Peking University, 2014.]
[37] He C, Wang J.Regional and sectoral differences in the spatial restructuring of Chinese manufacturing industries during the post-WTO period. GeoJournal, 2012, 77(3): 361-381.http://link.springer.com/10.1007/s10708-010-9396-0
[38] Orr D.The determinants of entry: A study of the Canadian manufacturing industries. The Review of Economics and Statistics, 1974, 56(1): 58-66.https://www.jstor.org/stable/1927527?origin=crossref
DOI: 10.2307/1927527     
[39] 杨汝岱. 中国制造业企业全要素生产率研究. 经济研究, 2015, 50(2): 61-74.
[Yang Rudai.Study on the total factor productivity of Chinese manufacturing enterprises. Economic Research Journal, 2015, 50(2): 61-74.]
[40] Cameron A C, Trivedi P K.Microeconometrics: Methods and Applications.Cambridge, MA: Cambridge University Press, 2005: 800.
[41] Santarelli E, Sterlacchini A.New firm formation in Italian industry: 1985-1989. Small Business Economics, 1994, 6(2): 95-106.http://link.springer.com/10.1007/BF01065182
DOI: 10.1007/BF01065182     
[42] Vernon R.Metropolis 1985: Interpretation of the Findings of the New York Metropolitan Region Study.Cambridge, MA: Harvard University Press, 1960.
[43] Chinitz B.Contrasts in agglomeration: New York and Pittsburgh. The American Economic Review, 1961, 51(2): 279-289.http://www.jstor.org/stable/1914493
[1] 覃雄合,杜德斌,刘树峰,范斐. 中国省际高校科研成果转化效率时空格局与影响因素——基于网络SBM模型的评价[J]. 地理研究, 2017, 36(9): 1641-1652.
[2] 刘颖,郭琪,贺灿飞. 城市区位条件与企业区位动态研究[J]. 地理研究, 2016, 35(7): 1301-1313.
[3] 赵安周,刘宪锋,朱秀芳,潘耀忠,赵玉玲,王冬利. 1965-2013年黄土高原地区极端气温趋势变化及空间差异[J]. 地理研究, 2016, 35(4): 639-652.
[4] 杜鹏,韩增林,王利,于欣,肖太梁. 东北地区县区经济增长空间格局演化[J]. 地理研究, 2015, 34(12): 2309-2319.
[5] 杨雪, 谈明洪. 北京市耕地功能空间差异及其演变[J]. 地理研究, 2014, 33(6): 1106-1118.
[6] 丁建军. 武陵山片区经济增长益贫性与空间差异演变——基于2000-2011年县域数据的实证分析[J]. 地理研究, 2014, 33(5): 948-960.
[7] 刘传明, 曾菊新. 县域综合交通可达性测度及其与经济发展水平的关系——对湖北省79个县域的定量分析[J]. 地理研究, 2011, 30(12): 2209-2221.
[8] 杨建明. 中国旅游业发展生态负荷空间差异综合评价[J]. 地理研究, 2010, 29(5): 830-840.
[9] 韩增林, 刘天宝. 中国地级以上城市城市化质量特征及空间差异[J]. 地理研究, 2009, 28(6): 1508-1515.
[10] 马元旭, 许炯心. 无定河及其各支流的断面水力几何形态[J]. 地理研究, 2009, 28(2): 345-353.
[11] 曹小曙, 李琳娜. 广东省邮电通信业发展空间差异变动[J]. 地理研究, 2009, 28(1): 182-190.
[12] 申玉铭, 邱 灵, 任旺兵, 尚于力. 中国服务业空间差异的影响因素 与空间分异特征[J]. 地理研究, 2007, 26(6): 1255-1264.
[13] 蒲英霞, 葛莹, 马荣华, 黄杏元, 马晓冬. 基于ESDA的区域经济空间差异分析——以江苏省为例[J]. 地理研究, 2005, 24(6): 965-974.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《地理研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn