PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (11): 1845-1859.doi: 10.18306/dlkxjz.2020.11.006
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Received:
2019-08-29
Revised:
2019-12-06
Online:
2020-11-28
Published:
2021-01-28
Contact:
WANG Maojun
E-mail:2170902021@cnu.edu.cn;maojunw@yeah.net
Supported by:
LIU Yuxiao, WANG Maojun. The same industry effect and the same source effect of Japanese companies in China: Take Beijing, Shanghai, Guangzhou and Shenzhen as examples[J].PROGRESS IN GEOGRAPHY, 2020, 39(11): 1845-1859.
Tab.2
Model test of the same industry effect"
指标 | 方程1 | 方程2 | 方程3 | 方程4 | 方程5 | 方程6 | 方程7 | |
---|---|---|---|---|---|---|---|---|
N | 342 | 342 | 193 | 342 | 342 | 342 | 186 | |
伪R2 | Cox和Snell | 0.183 | 0.226 | 0.178 | 0.218 | 0.288 | 0.278 | 0.670 |
Nagelkerke | 0.209 | 0.257 | 0.203 | 0.248 | 0.328 | 0.316 | 0.761 | |
McFadden | 0.096 | 0.121 | 0.093 | 0.117 | 0.161 | 0.154 | 0.522 | |
似然比显著性水平 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | |
分类百分比校正/% | 49.40 | 47.70 | 47.20 | 51.80 | 56.70 | 54.00 | 78.50 |
Tab.3
Results for the same industry clusters effect"
变量 | 方程1 | 方程2 | 方程3 | 方程4 | 方程5 | 方程6 | 方程7 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | |||||||
进入时间 | 0.104**(0.025) | 0.002*(0.093) | 0.143(0.391) | -1.373***(<0.001) | ||||||||||||||||
企业规模 | <0.001(0.173) | <0.001(0.286) | <0.001(0.794) | -0.001(0.177) | ||||||||||||||||
合资 | -1.475**(0.001) | -1.314**(0.002) | -1.263*(0.051) | -1.182(0.158) | ||||||||||||||||
生产制造 | -2.519***(<0.001) | -1.090**(0.010) | -1.066(0.253) | 2.857 (0.145) | ||||||||||||||||
商务服务 | 0.033(1.034) | 0.035(0.941) | 0.031(0.968) | 3.290*(0.062) | ||||||||||||||||
进出口贸易 | -1.162** (0.036) | -0.472(0.310) | -0.362(0.623) | 3.719**(0.035) | ||||||||||||||||
研发设计 | -0.182(0.777) | -1.113*(0.098) | -0.131(0.888) | 3.978*(0.065) | ||||||||||||||||
服务业 | 2.277*** (<0.001) | 0.742**(0.012) | 2.087**(0.006) | -0.649(0.480) | ||||||||||||||||
同业集聚 | 0.008(0.700) | 0.057**(0.001) | -0.005(0.817) | 0.056**(0.001) | -0.005(0.879) | -0.028(0.270) | 0.014(0.524) | 0.062*** (<0.001) | 0.003(0.907) | -0.060**(0.001) | 0.006(0.804) | 0.055**(0.010) | -0.045(0.425) | 0.282**(0.003) | ||||||
异业集聚 | -0.006(0.218) | 0.014**(0.001) | -0.002**(0.022) | 0.014**(0.001) | -0.008(0.269) | 0.016**(0.006) | -0.008(0.113) | 0.012**(0.004) | -0.014**(<0.001) | -0.014***(<0.001) | -0.016**(0.007) | 0.010**(0.012) | -0.046(0.233) | 0.210*** (<0.001) | ||||||
百分比校正/% | 19.3 | 75.8 | 19.3 | 77.0 | 29.8 | 74.5 | 14.5 | 72.0 | 45.8 | 67.7 | 48.2 | 64.6 | 60.0 | 93.0 |
Tab.4
Model test of the same source effect"
指标 | 方程1 | 方程2 | 方程3 | 方程4 | 方程5 | 方程6 | 方程7 | |
---|---|---|---|---|---|---|---|---|
N | 342 | 340 | 187 | 342 | 342 | 342 | 186 | |
伪R2 | Cox和Snell | 0.189 | 0.383 | 0.205 | 0.220 | 0.288 | 0.283 | 0.678 |
Nagelkerke | 0.215 | 0.436 | 0.233 | 0.251 | 0.328 | 0.322 | 0.771 | |
McFadden | 0.099 | 0.229 | 0.108 | 0.118 | 0.161 | 0.158 | 0.535 | |
似然比显著性水平 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | |
分类百分比校正/% | 47.10 | 66.20 | 47.10 | 51.20 | 56.10 | 54.70 | 78.00 |
Tab.5
Results for the same source city clusters effect"
变量 | 方程1 | 方程2 | 方程3 | 方程4 | 方程5 | 方程6 | 方程7 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | 北京 | 上海 | |
进入时间 | 0.185**(0.006) | -0.487***(<0.001) | 0.093(0.579) | -1.392** (<0.001) | ||||||||||
企业规模 | <0.001(0.204) | <0.001(0.401) | <0.001(0.996) | -0.001(0.199) | ||||||||||
合资 | -1.432***(0.001) | -1.220**(0.004) | -1.360**(0.042) | -1.065(0.210) | ||||||||||
生产制造 | -2.505***(<0.001) | -1.098 (<0.001) | -1.105(0.225) | 2.978(0.130) | ||||||||||
商务服务 | 0.038(0.939) | -0.180(0.175) | 0.198(0.802) | 3.374*(0.054) | ||||||||||
进出口贸易 | -1.115** (0.036) | -0.630(0.175) | 0.032(0.996) | 3.691**(0.033) | ||||||||||
研发设计 | -0.135(0.832) | -0.858(0.183) | -0.234(0.800) | 4.164*(0.052) | ||||||||||
服务业 | 2.298*** (<0.001) | 0.693** (0.017) | 2.140**(0.005) | -0.531(0.564) | ||||||||||
同源集聚 | -0.014(0.168) | 0.030***(<0.001) | 0.017(0.258) | 0.102*** (<0.001) | -0.031(0.003) | -0.029**(0.003) | -0.014(0.155) | 0.030*** (<0.001) | -0.023(0.030) | -0.026***(<0.001) | -0.026**(0.017) | 0.026*** (<0.001) | -0.072*(0.068) | 0.237*** (<0.001) |
异源集聚 | -0.002(0.769) | 0.014**(0.001) | 0.032(0.022) | 0.089*** (<0.001) | -0.003(0.594) | 0.013**(0.021) | -0.003(0.623) | 0.014**(0.003) | -0.008(0.140) | -0.011**(0.015) | -0.009*(0.096) | 0.012**(0.012) | -0.026(0.475) | 0.220*** (<0.001) |
百分比校正/% | 21.7 | 75.2 | 19.3 | 86.3 | 32.6 | 74.4 | 15.7 | 71.4 | 45.8 | 67.7 | 48.2 | 66.5 | 64.4 | 93.0 |
[1] | 刘作丽, 贺灿飞. 在华外商直接投资区位研究述评[J]. 地理科学进展, 2009,28(6):952-961. |
[ Liu Zuoli, He Canfei. A literature review on FDI location. Progress in Geography, 2009,28(6):952-961. ] | |
[2] | 文余源. FDI理论与区位决策研究述评[J]. 地理科学进展, 2008,27(2):60-73. |
[ Wen Yuyuan. A review of the literature on FDI theories and location decision. Progress in Geography, 2008,27(2):60-73. ] | |
[3] | 夏良科. 外商直接投资动态演变: 基于城市数据的经验分析[J]. 国际商务研究, 2013,34(3):5-15. |
[ Xia Liangke. Dynamic evolution of the location of FDI: An empirical study based on city-level data. International Business, 2013,34(3):5-15. ] | |
[4] | 田素华, 杨烨超. FDI 进入中国区位变动的决定因素: 基于D-G 模型的经验研究[J]. 世界经济, 2012(11):59-87. |
[ Tian Suhua, Yang Yechao. Determinants of FDI's location change in China: An empirical study based on D-G model. Journal of World Economy, 2012(11):59-87. ] | |
[5] | Cleeve E A, Debrah Y, Yiheyis Z. Human capital and FDI inflow: An assessment of the African case[J]. World Development, 2015,74:1-14. |
[6] | Kang S J, Lee H S. The determinants of location choice of South Korean FDI in China[J]. Japan and the World Economy, 2007,19(4):441-460. |
[7] | 杨仁发, 刘纯彬. 中国生产性服务业 FDI 影响因素实证研究[J]. 国际贸易问题, 2012(11):107-116. |
[ Yang Renfa, Liu Chunbin. The determinants of producer services FDI in China. Journal of International Trade Issue, 2012(11):107-116. ] | |
[8] | 曾鹏, 秦艳辉. 城市行政级别、产业集聚对外商直接投资的影响[J]. 国际贸易问题, 2017(1):104-115. |
[ Zeng Peng, Qin Yanhui. Study on the influence of urban administrative level and industrial agglomeration on foreign direct investment. Journal of International Trade Issue, 2017(1):104-115. ] | |
[9] | Cheng S M, Stough R R. Location decisions of Japanese new manufacturing plants in China: A discrete-choice analysis[J]. The Annals of Regional Science, 2006,40(2):369-387. |
[10] | 崔庆欢. 集聚视角下生产性服务业在我国区位选择研究[D]. 蚌埠: 安徽财经大学, 2015. |
[ Cui Qinghuan. Research on location selection in China FDI in producer service industry under the focal perspective. Bengbu, China: Anhui University of Finance & Economics, 2015. ] | |
[11] | 孙浦阳, 韩帅, 靳舒晶. 产业集聚对外商直接投资的影响分析: 基于服务业与制造业的比较研究[J]. 数量经济技术经济研究, 2012(9):40-57. |
[ Sun Puyang, Han Shuai, Jin Shujing. The impact of agglomeration on FDI in China. The Journal of Quantitative & Technical Economics, 2012(9):40-57. ] | |
[12] | 赵伟, 张萃. FDI与中国制造业区域集聚: 基于20个行业的实证分析[J]. 经济研究, 2007(11):82-90. |
[ Zhao Wei, Zhang Cui. FDI and manufacturing agglomeration in China: Evidence of 20 industries. Economic Research Journal, 2007(11):82-90. ] | |
[13] | 梁琦. 跨国公司海外投资和产业集聚[J]. 世界经济, 2003(9):29-37. |
[ Liang Qi. Overseas investment and industrial agglomeration of transnational corporations. World Economy, 2003(9):29-37. ] | |
[14] | 张俊妮, 陈玉宇. 产业集聚、所有制结构与外商投资企业区位选择[J]. 经济学, 2006,5(4):1091-1108. |
[ Zhang Junni, Chen Yuyu. Agglomeration effect, ownership structure and location choice: Evidence from foreign direct investment in China. China Economy Quarterly, 2006,5(4):1091-1108. ] | |
[15] | 王丽艳. 产业专业化、多样化与FDI引资转型[D]. 湘潭: 湘潭大学, 2015. |
[ Wang Liyan. Specialization, variety, and the transform in foreign investment attraction. Xiangtan, China: Xiangtan University, 2015. ] | |
[16] | 肖文, 林高榜. 产业集聚和外国直接投资区位选择: 基于长三角地区经济发展的视角[J]. 国际贸易问题, 2008(7):82-86. |
[ Xiao Wen, Lin Gaobang. Industrial clusters and FDI location selection: Evidences from the Yangtze Delta. Journal of International Trade Issue, 2008(7):82-86. ] | |
[17] | 胡平, 伍新木, 文余源. 基于面板数据SDM的长江中游城市群FDI决定因素分析[J]. 经济地理, 2014,34(1):15-21. |
[ Hu Ping, Wu Xinmu, Wen Yuyuan. The decisive factors to FDI in urban agglomerations in middle reaches of the Yangtze River: Based on panel data and SDM. Economic Geography, 2014,34(1):15-21. ] | |
[18] | 胡志强, 苗长虹, 华明芳, 等. 中国外商直接投资区位选择的时空格局与影响因素[J]. 人文地理, 2018,33(5):88-96. |
[ Hu Zhiqiang, Miao Changhong, Hua Mingfang, et al. Spatio temporal patterns and location factors of FDI in China. Human Geography, 2018,33(5):88-96. ] | |
[19] | 唐宜红, 王林. 我国服务业外商直接投资的决定因素分析: 基于行业面板数据的实证研究[J]. 世界经济研究, 2012(10):75-81. |
[ Tang Yihong, Wang Lin. The determinants of Chinese service FDI: An analysis based on an empirical test of the industry panel data. World Economy Study, 2012(10):75-81. ] | |
[20] | Lu J, Tokunaga S. Supplier access and the location of Japanese food industry FDI in East Asia[J]. Letters in Spatial and Resource Sciences, 2009,2(1):1-10. |
[21] | 颜银根. FDI 区位选择: 市场潜能、地理集聚与同源国效应[J]. 财贸经济, 2014(9):103-113. |
[ Yan Yingen. Location choice of FDI: Market potential, geographic agglomeration and the same country of origin. Finance & Trade Economics, 2014(9):103-113. ] | |
[22] | Crozet M D, Mayer T, Mucchielli J-L. How do firms agglomerate? A study of FDI in France[J]. Regional Science and Urban Economics, 2004,34(1):27-54. |
[23] | Lee K-D, Hwang S-J. Regional characteristics, industry agglomeration and location choice: Evidence from Japanese manufacturing investments in Korea[J]. Asian Economic Journal, 2016,30(2):123-145. |
[24] | 刘晓宁. 企业对外直接投资区位选择: 东道国因素与企业异质性因素的共同考察[J]. 经济经纬, 2018,35(3):59-66. |
[ Liu Xiaoning. Location choice of outward foreign direct inve- stment: A study on host country factors and enterprise heterogeneity factors. Economic Surwey, 2018,35(3):59-66. ] | |
[25] | 符文颖, 吴艳芳. 德国在华知识密集制造业投资进入方式的时空特征及区位影响因素[J]. 地理学报, 2017,72(8):1361-1372. |
[ Fu Wenying, Wu Yanfang. Spatio-temporal characteristics and locational determinants for entry mode of German knowledge-intensive FDI in China. Acta Geographica Sinica, 2017,72(8):1361-1372. ] | |
[26] | 王茂军, 徐永平. 中国在美洲的OFDI基本特征与决定因素[J]. 地理学报, 2017,72(8):1373-1391. |
[ Wang Maojun, Xu Yongping. China's OFDI in America: Basic features and determinants, 2017,72(8):1373-1391. ] |
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