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| 北京企业对河北直接投资的时空动态特征及影响因素 | |
| 引用本文： | 卢明华,周悦颜,刘汉初,许欣.北京企业对河北直接投资的时空动态特征及影响因素[J].地理科学进展,2020,39(3):389-401. |
| 作者姓名： | 卢明华 周悦颜 刘汉初 许欣 |
| 作者单位： | 1.首都师范大学资源环境与旅游学院，北京 100048 2.中国科学院科技战略咨询研究院，北京 100190 3.北京市大兴区第一中学，北京 102600 |
| 基金项目： | 国家自然科学基金项目(41471107);国家自然科学基金项目(41971156);北京市教委京津冀一体化建设研究项目(011165584000) |
| 摘 要： | 随着京津冀协同发展战略的提出,北京非首都功能疏解与产业转移得到越来越多的关注。论文基于2010—2015年北京企业对河北亿元以上项目的投资数据,分析历年投资规模、行业特征和区位特征及变化,进一步利用条件Logit回归模型,分别探究北京全行业、制造业、服务业企业对河北投资区位的影响因素。研究发现：① 2010—2015年,北京企业对河北的投资规模大幅提升,制造业投资占比有所下降,服务业投资占比显著提高,且投资行业类型多样化,呈现升级趋势,对一般性产业的疏解已初步取得成效。② 北京企业对河北各地级市投资额分布的层级分化明显,且在各地级市的市区、县域均有分布,呈现广域散布的特征。③ 2010—2015年,北京企业对河北各地级市的投资区位较为集中,但略趋分散,投资份额有从唐山、承德、廊坊向保定、邯郸转移的趋势,基本形成以唐山、石家庄、保定、张家口为核心承载地的投资格局。④ 产业基础、时间距离、政策环境、创新能力是企业投资区位选择的重要影响因素,但存在明显的行业异质性特征。制造业受时间距离、劳动力成本、政策环境的影响,容易形成企业投资的“区位锁定”和“行业锁定”;服务业较高的企业经济效益克服了劳动力成本的影响,高素质人才更能吸引服务业企业投资。 |
| 关 键 词： | 企业投资 区位选择 北京 京津冀城市群 |
| 收稿时间： | 2019-03-18 |
| 修稿时间： | 2019-08-05 |
Spatiotemporal dynamics and influencing factors of direct investment in Hebei Province by Beijing’s enterprises |
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| LU Minghua,ZHOU Yueyan,LIU Hanchu,XU Xin.Spatiotemporal dynamics and influencing factors of direct investment in Hebei Province by Beijing’s enterprises[J].Progress in Geography,2020,39(3):389-401. | |
| Authors: | LU Minghua ZHOU Yueyan LIU Hanchu XU Xin |
| Institution: | 1.College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China 2.Institute of Science and Development, CAS, Beijing 100190, China 3.Beijing Daxing District No. 1 Middle School, Beijing 102600, China |
| Abstract: | With the initiation of the coordinated development strategy of the Beijing-Tianjin-Hebei region, moving out non-capital functions and industrial transfer in Beijing has been paid increasingly more attention. Based on the data of investment projects of over 100 million yuan in Hebei Province by Beijing's enterprises from 2010 to 2015 and the calculation results of geographic concentration, this study analyzed the investment scale, industry characteristics, and location characteristics over the years, and further used a conditional Logit regression model to explore the influencing factors of the investment location of enterprises from all industries, manufacturing industries, and service industries. The purpose of this study was to summarize the spatial change pattern and influencing mechanisms of investments in Hebei by Beijing's enterprises, and provide suggestions for industrial transfer policies in the context of moving out non-capital functions. The study found that: 1) The investment scale in Hebei by Beijing's enterprises increased dramatically. The proportion of manufacturing industry investments decreased and the proportion of service industry investments increased. The types of invested industries were diverse, showing an upgrading trend, and the moving out of industries had achieved some results. 2) The distribution of investments in the prefectural-level cities of Hebei Province was clearly stratified, and they were distributed across urban districts and counties, showing the characteristics of wide-area distribution. Tangshan City was in a dominant position, followed by Baoding, Shijiazhuang, Zhangjiakou, and Langfang cities. 3) From 2010 to 2015, the location of investments in Hebei by Beijing's enterprises was concentrated, but had become slightly dispersed. The investment was moving from Tangshan, Chengde, and Langfang to Baoding and Handan, and basically formed an investment pattern with Tangshan, Shijiazhuang, Baoding, and Zhangjiakou as the core agglomeration area, which was in line with the spatial planning of the coordinated development strategy of the Beijing-Tianjin-Hebei region. The investment location of the manufacturing industries had gradually dispersed, the investment was moving from Tangshan and Langfang to Baoding, Handan, and Shijiazhuang. The investment location of the service industries was dispersed firstly, then concentrated, and the investment was moving from Shijiazhuang and Chengde to Zhangjiakou, Baoding, Langfang, and Qinhuangdao. 4) Industrial foundation, time distance, policy environment, and innovation capacity were important factors that influenced the choice of investment location. Manufacturing industries were affected by time distance, labor cost, and policy environment, so it was easy to form "location lock-in" and “industry lock-in.” The higher economic benefits of service enterprises had overcome the increase of labor costs, and high-quality talents could attract investments from service enterprises. |
| Keywords: | enterprise investment location choice Beijing Beijing-Tianjin-Hebei urban agglomeration |
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