SCIENTIA GEOGRAPHICA SINICA ›› 2019, Vol. 39 ›› Issue (9): 1371-1377.doi: 10.13249/j.cnki.sgs.2019.09.002
Previous Articles Next Articles
Zhang Weili1, Ye Xinyue2, Li Dong3,4, Fu Jibin5, Wu Menghe3
Received:
2018-12-04
Revised:
2019-02-20
Online:
2019-09-10
Published:
2019-12-02
Supported by:
CLC Number:
Zhang Weili, Ye Xinyue, Li Dong, Fu Jibin, Wu Menghe. Network Association, Spillover Effect and China's Regional Economic Growth Based on Tencent's Location Big Data[J].SCIENTIA GEOGRAPHICA SINICA, 2019, 39(9): 1371-1377.
Table 1
Top 20 degree of centrality of China's prefecture-level and above cities under the population mobility network in 2016"
排名 | 地级市 | 得分 | 排名 | 地级市 | 得分 |
---|---|---|---|---|---|
1 | 北京市 | 1 | 11 | 杭州市 | 0.1948449 |
2 | 上海市 | 0.5565135 | 12 | 郑州市 | 0.1922852 |
3 | 广州市 | 0.5523373 | 13 | 沈阳市 | 0.1730208 |
4 | 深圳市 | 0.4947236 | 14 | 哈尔滨市 | 0.1633661 |
5 | 成都市 | 0.4614487 | 15 | 东莞市 | 0.1587858 |
6 | 重庆市 | 0.2882033 | 16 | 长沙市 | 0.1551933 |
7 | 武汉市 | 0.2267726 | 17 | 兰州市 | 0.1396111 |
8 | 西安市 | 0.2152768 | 18 | 南宁市 | 0.1312138 |
9 | 乌鲁木齐市 | 0.2000090 | 19 | 苏州市 | 0.129687 |
10 | 昆明市 | 0.1958328 | 20 | 南京市 | 0.1261395 |
Table 2
Results of spatial spillover effects of economic growth in prefecture-level and above cities in China under different network structures"
变量 | 基准模型 | ||||||||
---|---|---|---|---|---|---|---|---|---|
局部加总 | 局部平均 | 局部加总 | 局部平均 | 局部加总 | 局部平均 | ||||
0.152***(0.021) | 0.237***(0.021) | 0.159***(0.021) | 0.187***(0.021) | 0.197***(0.022) | 0.220***(0.022) | 0.157***(0.021) | |||
0.241***(0.016) | 0.214***(0.016) | 0.231***(0.018) | 0.161***(0.019) | 0.157***(0.019) | 0.124***(0.019) | 0.229***(0.018) | |||
0.00003(0.001) | 0.00006(0.001) | 0.0001(0.001) | 0.0001(0.001) | 0.00002(0.001) | -0.001(0.001) | -0.0004(0.001) | |||
0.277***(0.023) | 0.255***(0.022) | 0.255***(0.024) | 0.171***(0.026) | 0.176***(0.024) | 0.163***(0.026) | 0.251***(0.027) | |||
0.092***(0.018) | 0.080***(0.017) | 0.100***(0.018) | 0.096***(0.017) | 0.093***(0.017) | 0.088***(0.016) | 0.105***(0.018) | |||
-0.342***(0.073) | -0.066***0.029) | -0.189***(0.054) | -0.127***0.035) | -0.355***(0.068) | -0.002(0.005) | ||||
0.143(0.121) | 0.014(0.013) | 0.232***(0.031) | 0.173***(0.023) | 0.410***(0.052) | 0.004(0.004) | ||||
0.022*(0.015) | -0.003*(0.002) | -0.00005(0.003) | 0.0006(0.002) | 0.006(0.007) | -0.002***(0.000) | ||||
-0.026(0.107) | 0.031***(0.013) | 0.298***(0.037) | 0.209***(0.026) | 0.437***(0.067) | 0.008***(0.003) | ||||
0.020(0.244) | -0.023(0.023) | -0.041(0.048) | -0.012(0.021) | -0.072(0.160) | -0.011***(0.005) | ||||
常数项 | 5.989***(0.603) | 6.377***(0.568) | 6.395***(0.637) | 4.687***(0.721) | 3.782***(0.738) | 3.177***(1.476) | 6.372***(0.704) | ||
个体效应 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | ||
时间效应 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | ||
R2 | 0.999 | 0.999 | 0.999 | 0.999 | 0.999 | 0.999 | 0.999 | ||
J | 0.740 | 0.000*** | 0.475 | 0.798 | 0.684 | 0.000*** |
[1] | [ Sheng Guangyao .Multiple correlation effect of regional economic growth and its empirical test. Economist, 2018(4):34-41.] |
[2] | 张伟丽, 覃成林 . 基于时空耦合视角的中国区域经济增长俱乐部趋同分析[J]. 地理与地理信息科学, 2016,32(2):77-82. |
[ Zhang Weili, Qin Chenglin . Analyzing regional economic growth club convergence in China based on the perspective of spatiotemporal coupling. Geography and Geo-Information Science, 2016,32(2):77-82.] | |
[3] |
张伟丽 . 区域经济增长俱乐部趋同:假说检验及解释[J]. 地理科学, 2018,38(2):258-263.
doi: 10.13249/j.cnki.sgs.2018.02.012 |
[ Zhang Weili . Hypojournal testing and interpretation on regional economic growth club convergence. Scientia Geographica Sinica, 2018,38(2):258-263. ]
doi: 10.13249/j.cnki.sgs.2018.02.012 |
|
[4] |
张春梅, 张小林, 徐海英 , 等. 基于空间自相关的区域经济极化结构演化研究——以江苏省为例[J]. 地理科学, 2018,38(4):557-563.
doi: 10.13249/j.cnki.sgs.2018.04.009 |
[ Zhang Chunmei, Zhang Xiaolin ,Xu Haiying,et al.Evolution of regional economic polarization structure based on spatial autocorrelation: A case study of Jiangsu Province. Scientia Geographica Sinica, 2018,38(4):557-563. ]
doi: 10.13249/j.cnki.sgs.2018.04.009 |
|
[5] | 王雨飞, 倪鹏飞 . 高速铁路影响下的经济增长溢出与区域空间优化[J].中国工业经济, 2016(2):21-36. |
[ Wang Yufei, Ni Pengfei .Economic growth spillover and spatial optimization of High-speed Railway. China Industrial Economics, 2016(2):21-36.] | |
[6] |
李新光, 黄安民 . 高铁对县域经济增长溢出效应的影响研究——以福建省为例[J]. 地理科学, 2018,38(2):233-241.
doi: 10.13249/j.cnki.sgs.2018.02.009 |
[ Li Xinguang, Huang Anmin . Spillovers effect of the High-Speed Railway on counties’ economic growth: Taking Fujian Province as an example. Scientia Geographica Sinica, 2018,38(2):233-241.]
doi: 10.13249/j.cnki.sgs.2018.02.009 |
|
[7] | 刘华军, 何礼伟 . 中国省际经济增长的空间关联网络结构——基于非线性Granger因果检验方法的再考察[J]. 财经研究, 2016,42(2):97-107. |
[ Liu Huajun, He Liwei . The spatial network structure of china's provincial economic growth:Re-examination based on nonlinear granger causality test. Journal of Finance and Economics, 2016,42(2):97-107.] | |
[8] |
Acemoglu D, García-Jimeno C, Robinson J A . State capacity and economic development: A network approach[J]. The American Economic Review, 2015,105(8) : 2364-2409.
doi: 10.1016/j.envres.2014.10.028 pmid: 25746298 |
[9] |
马丽君, 龙云 . 基于社会网络分析法的中国省际入境旅游经济增长空间关联性[J]. 地理科学, 2017,37(11):1705-1711.
doi: 10.13249/j.cnki.sgs.2017.11.012 |
[ Ma Liju, Long Yun . The spatial correlation of economic growth of inbound tourism in China based on social network analysis. Scientia Geographica Sinica, 2017,37(11):1705-1711.]
doi: 10.13249/j.cnki.sgs.2017.11.012 |
|
[10] |
盛科荣, 张红霞, 佀丹丹 . 中国城市网络中心性的空间格局及影响因素[J]. 地理科学, 2018,38(8):1256-1265.
doi: 10.13249/j.cnki.sgs.2018.08.007 |
[ Sheng Kerong, Zhang Hongxia, Si Dandan . The spatial pattern and influential factors of urban network centrality in China. Scientia Geographica Sinica, 2018,38(8):1256-1265.]
doi: 10.13249/j.cnki.sgs.2018.08.007 |
|
[11] |
赵东霞, 韩增林, 赵彪 . 东北地区城市经济联系的空间格局及其演化[J]. 地理科学, 2016,36(6):846-854.
doi: 10.13249/j.cnki.sgs.2016.06.006 |
[ Zhao Dongxia, Han Zenglin, Zhao Biao . Spatial framework and change of the Northeast China’s economic links. Scientia Geographica Sinica, 2016,36(6):846-854.]
doi: 10.13249/j.cnki.sgs.2016.06.006 |
|
[12] | 种照辉, 覃成林, 叶信岳 . 城市群经济网络与经济增长——基于大数据与网络分析方法的研究[J]. 统计研究, 2018,35(1):13-21. |
[ Chong Zhaohui, Qin Chenglin, Ye Xinyue. Economic networks and economic growth of urban agglomeration: An integrated approach of Big Data and network analysis. Statistical Research, 2018,35(1):13-21.] | |
[13] |
郑文升, 姜玉培, 卓蓉蓉 , 等. 安徽省县际经济联系网络结构演变及影响因素[J]. 地理科学, 2016,36(2):265-273.
doi: 10.13249/j.cnki.sgs.2016.02.013 |
[ Zheng Wensheng, Jiang Yupei ,Zhuo Rongrong et al . Evolution and influencing factors of the structure of economic linkage network at county level in Anhui Province. Scientia Geographica Sinica, 2016,36(2):265-273.]
doi: 10.13249/j.cnki.sgs.2016.02.013 |
|
[14] | 张伟丽, 李建新 . 中国行政区经济协调发展的空间格局及演化分析[J]. 经济地理, 2013,33(6):8-14. |
[ Zhang Weili, Li Jianxin , Analyzing spatial pattern and evolution about administrative economic coordinated development degree of China. Economic Geography, 2013,33(6):8-14.] | |
[15] |
廖伟华, 聂鑫 . 基于大数据的城市服务业空间关联分析[J]. 地理科学, 2017,37(9):1310-1317.
doi: 10.13249/j.cnki.sgs.2017.09.003 |
[ Liao Weihua, Nie Xin . Spatial association analysis for urban service based on Big Data. Scientia Geographica Sinica, 2017,37(9):1310-1317.]
doi: 10.13249/j.cnki.sgs.2017.09.003 |
|
[16] |
Liu Y, Liu X, ,Gao S et al. Social sensing: A new approach to understanding our socioeconomic environments[J]. Annals of the Association of American Geographers, 2015,105(3):512-530.
doi: 10.1080/00045608.2015.1018773 |
[17] |
Jun Xu, Aoyong Li , Dong Li et al. Difference of urban development in China from the perspective of passenger transport around Spring Festival[J]. Applied Geography, 2017,87:85-96.
doi: 10.1016/j.apgeog.2017.07.014 |
[18] |
Levin N, Lechner A M, Brown G . An evaluation of crowdsourced information for assessing the visitation and perceived importance of protected areas[J]. Applied Geography, 2017,79:115-126.
doi: 10.1016/j.apgeog.2016.12.009 |
[19] |
Baumont C, Ertur C, Gallo J L . Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995[J]. Regional Science, 2003,82:175-201.
doi: 10.1111/pirs.2003.82.issue-2 |
[20] | Lewis W A . Theory of economic growth[M]. New York: Routledge, 2013. |
[21] |
Liu X, Patacchini E, Zenou Y . Endogenous peer effects: Local aggregate or local average?[J]. Journal of Economic Behavior &Organization, 2014,103:39-59.
doi: 10.1152/japplphysiol.00615.2019 pmid: 31774357 |
[22] | 第一财经•新一线研究所. 2018 中国新一线城市排名出炉!逃离北上广,然后蓉苏杭?[N/OL]. 九酷网. |
[ First Finance and New Frontline Research Institute . 2018 China's new first-tier cities ranked! Escape from the north to the wide, then Rong-Su-Hang?. Nine cool network, .] | |
[1] | 盛广耀 . 区域经济增长的多重关联效应及其实证检验[J].经济学家, 2018(4):34-41. |
|