Research on Spillover Effect of Urbanization on Rural Land Transfer Based on the SDM Model of Intelligent Computing

In order to explore the spillover effect of urbanization on rural land transfer, this paper uses the panel data of various regions and cities in Xinjiang from 2008 to 2018. Moran's I method is used to test and analyze the spatial correlation between urbanization and farmland transfer. Intelligent computing SDM is used to analyze the spillover effect of urbanization on farmland transfer. The results show that there is spatial correlation between farmland transfers in Xinjiang. There is spatial heterogeneity in the spatial agglomeration of urbanization and farmland transfer in northern and southern Xinjiang. The content of this paper can provide some reference and ideas for follow-up research.

The identification, logic and enlightenments of intra-urban place communities in China

Spatial agglomeration phenomena on the earth permeate in various fields of the natural and human world, yet their researches in human society are relatively few with the focus mainly on the economic concept of “industrial clusters”. Precise quantitative descriptions, in-depth logical analyses and proper application approaches for urban planning are lacked in various intra-urban spatial agglomeration phenomena. By using over 10 million POIs in the mainland China, 18 grid network models with two varieties of spatial relationships (co-location/adjacent) are constructed in this article. 23 typical place communities are extracted based on complex network analysis, and four types of agglomeration driving forces are summarized. A comprehensive demonstration displaying the application process of co-location/adjacent place matrices in auxiliary decision of the implanted place types is carried out with the example of the revitalization project of Taoxichuan Area in the city of Jingdezhen.

Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities

The spatial agglomeration of capital factors has become an important force affecting regional economic development and industrial structure. Investigating the spatial relationship of capital factor agglomeration is a key way to accelerate the upgrading of urban industrial structure and realize sustainable development. Based on the panel data of 284 cities in China from 2008 to 2017, we use the theoretical framework of spatial econometrics and estimate the spatial effects of capital factor agglomeration on the upgrading of urban industrial structure. Both the global Moran index and the local Moran scatter chart present that the agglomeration of capital factors and the upgrading index of urban industrial structure shows the characteristics of spatial agglomeration. The results reveal that the agglomeration of capital factors can significantly promote the upgrading of the industrial structure of local and surrounding cities. Still, the spatial spillover effect is not significant. We then explore the possible factors that limit the spatial spillover effects of capital agglomeration. Using the results of the paper, we provide policy suggestions for strengthening urban industrial construction and optimizing the urban governance model.

Evaluating the Corresponding Relationship Between the Characteristics of Resource Utilization and the Level of Urbanization：A Case Study in Chengdu-Chongqing Economic Circle, China.

The Chengdu-Chongqing Economic Circle is an important center for promoting economic growth in the western region. Clarifying the driving force and restrictive factors of the urbanization development in Chengdu-Chongqing area is conducive to the further development of the region. First, this study uses piecewise linear regression to determine the characteristics of resource consumption. Then use Moran index to test the spatial agglomeration relationship. Finally, combining the characteristics of resource utilization and spatial agglomeration effects in Chengdu-Chongqing area, 143 cities are classified. The results show that: (1) The Chengdu-Chongqing economic circle as a whole presents the characteristics of high resource utilization pressure and abundant resource content. (2) In areas with obvious agglomeration effects, most cities have less pressure on natural resources, lower resource levels, less investment in environmental protection, and higher levels of urbanization. (3) The pressure on the use of natural resources and the expropriation of environmental protection measures are matched with each other in areas with significant concentration. (4) With the development of cities, the characteristics of resource utilization in various regions will tend to be unified. Researching and exploring the characteristics of resource utilization in the Chengdu-Chongqing Economic Circle will help the government to formulate relevant policies to ensure the coordinated development of regional ecology and the city.

Agglomeration and Innovation: An Empirical Study Based on China’s Manufacturing Data

This study explores the relationship between spatial agglomeration and innovation, taking Chinese manufacturing data as an example. Tractable model is built to explain the mechanism through which spatial concentration of firms in a city affects industrial innovation. Then in the empirical analysis, new agglomeration and innovation indicators are used to test the theoretical conclusions at the city-industry level. Results show that the geographical concentration of firms has significant negative effects on industrial innovation and growth. These overall effects can be divided into positive and negative categories after considering the interaction between the industrial labor scale and firm’s spatial agglomeration. Industries with a higher labor scale will bear more crowding effects of firms’ spatial agglomeration. These findings mean that moving to a less concentrated area might be a good choice for the labor-intensive firms which aim at innovation.

The Scale, Logic and Structure of Intra-urban Place Communities Based on Place Niche Theory

Spatial agglomeration phenomena on the earth's surface permeate in various fields of the natural and human world, yet their researches in human society are relatively few with the focus mainly on the economic concept of "industrial clusters". Precise quantitative descriptions, in-depth logical analyses and overall systematic explanations are lacked in various intra-urban spatial agglomeration phenomena. Using over 10 million POIs in the mainland China, 18 grid network models of 9 grid scales based on two kinds of spatial relationships (co-location/adjacent) are constructed in this article. 23 typical place communities are extracted based on complex network analysis, and four types including 11 sub-categories of agglomeration patterns are summarized. Drawing on the concept of "ecological niche", we further propose the theory of "place niche" and analyze the logic and structure of intra-urban place communities within its framework. This study extends the spatial scales and dominating factors of the agglomeration phenomenon research.