Conventional wisdom, based on conceptual frameworks such as the regional innovation system, the triple helix, and the engaged university, emphasizes that university knowledge spillovers are highly geographically localized and argues that universities should serve local industry and local investment in university research. However, these theories have struggled to explain the increasing use of academic knowledge by firms outside the region. We measure regional embeddedness by aggregating the network embeddedness of firms at the regional level. We utilize the co-applied patent records between 1,291 universities and 37,823 firms in China from 2008 to 2022 to construct the university-firm collaborative innovation network. The study finds that: 1) The university-firm collaborative innovation network is dominated by self-absorption within universities’home regions and interaction among four urban agglomerations, namely the BeijingTianjin region, the Chengdu-Chongqing region, and the Yangtze and Pearl River deltas. 2) Regional embeddedness shows a decreasing trend from coastal to inland areas. 3) The extent to which a region is embedded within the network depends mainly on the innovation capacity of its firms and the level of economic development, and the impact of the academic resource endowment within the region is relatively weak.

From urban and rural coordination to urban and rural integration to urban and rural integrated development are three important stages in the development of urban and rural relations in the process of Chinese path to modernization. In depth analysis of the temporal evolution process, laws, and spatial differentiation mechanism of urban-rural integration is of great value for accurately grasping the spatiotemporal evolution pattern, influencing factors, and enhancing the synergistic effect of spatial and structural "dual dimensions" of urban-rural integration. The study constructs a five dimensional evaluation index system of "population society economy space ecology" to depict the temporal evolution process of urban-rural integration in China from 2003 to 2020 and reveal its spatial differentiation mechanism. Research has found that: 1) The overall level of urban-rural integration in China and the four major regions have shown an upward trend in temporal evolution, but the spatial differentiation characteristics of urban-rural integration between the four regions are obvious; 2) The main reason for the spatial differentiation of urban-rural integration comes from regional differences, with significant differences between the eastern and western regions, and higher differences within the eastern region compared to the northeast, central, and western regions; 3) The differences in social, spatial, and demographic integration are the main structural sources of spatial differentiation in China's urban-rural integration. 4) The differences in social security and spatial construction are the reasons for the increased spatial differentiation of overall urban-rural integration in China. The differences in spatial communication and ecological governance are the reasons for the increased spatial differentiation in the east.

Urban and rural areas represent two symbiotic, co-evolving systems. they constitute the broader urban-rural regional framework system Collectively. As a link between urban and rural, county is an important entry point for research on urban-rural integration. Therefore, it is particularly vital to sort out the mechanism of urban-rural integration development and evolution from the perspective of county. Taking county territory of Fujian province as research unit, the paper constructs a multi-dimensional evaluation index system of urban-rural population, economy, society, ecology and space to measure the level of urban-rural integration from 2011 to 2020, and explores its spatiotemporal coupling relationship and transition mechanism with the methods of LISA spatio-temporal path, LISA spatial-temporal transition and quantile regression. The results indicate that: 1) The development level of urban-rural integration of counties in Fujian province continues to improve, showing the differentiation characteristics of "high-value areas clustering in western Fujian, loosing in eastern Fujian; low-value areas clustering in southern and northern Fujian", and the spatial agglomeration has a weakening trend. 2) Generally speaking, the spatial pattern of the urban-rural integration is relatively stable in Fujian province, with weak spatial dependence and strong spatial integration. 3) The factor-driven models of the urban-rural integration are "economy-education-government" low-quantile driver, "industry-income" low-quantile constraint, "industry-labor force" high-quantile driver and "government-income" high-quantile constraint in Fujian province.

The deep integration of digitization and basic public services can effectively break through administrative and social boundaries, expand the reach of high-quality basic public service resources, and contribute to achieving equitable provision of basic public services.Taking Chinese urban agglomerations as the research object, this study explains the intrinsic mechanism of the integration of digitization and basic public services based on symbiosis theory. It utilizes entropy method, coupling coordination model, Dagum Gini coefficient, and traditional and spatial Markov chain transition probability matrices to examine the spatiotemporal dynamics of this integration.The goal is to provide important references for promoting the integration of digitization and basic public services in urban agglomerations and achieving both digital service provision and the digitization of services.The study found that: 1) The integration levels of digitization and basic public services in Chinese urban agglomerations have shown a steady upward trend. 2) The integration levels within urban agglomerations are spatially uneven, with higher levels observed in central cities of urban agglomerations and cities located in the eastern coastal areas and the Yangtze River Economic Belt.Inter-group differences are the main source of overall disparities, with most urban agglomerations showing fluctuating decreases or stable internal differences. 3) Cities with higher integration levels exhibit stronger stability, while cities with lower levels show significant latecomer advantages.

Regional environmental governance is an important research topic in the era of globalization. However, existing studies have mainly focused on the impact of local forces on regional environmental governance, paying less attention to global and local interactions. In addition, research on the role of transnational corporations is insufficient. Taking Dongguan Eco-park as a case study, this paper analyzes the global-local interactive process and mechanism of regional environmental governance from the perspective of actor network. The findings are as follows: 1) Dongguan Eco-park has gone through two different stages: Environmental renovation and environmental optimization. It has been transformed from a highly polluted remote area into an ecological urban area through inter-urban governance within a city. 2) The environmental problems and governance of Dongguan Eco-park are the results of global-local interactions. 3) Local governments and transnational enterprises play a central role in regional environmental governance. The city government led environmental renovation through administrative authority, and transnational enterprises led and supported local enterprises in environmental renovation through market power. These two actors are connected with local enterprises, which promoted the interaction of global-local elements in this region, such as capital, standards, ideas, and technology.

Enhancing methodical researches on environmental pollution crimes can establish a scientific foundation for local environmental administration and crime prevention. This study attempts to investigate the spatial and temporal distribution patterns of environmental pollution crimes in China and analyze the key factors that influence them with interannual environmental pollution crimes data from 282 cities spanning the years 2014 to 2020 from a geospatial perspective. The results of the study show that: 1) Trend in environmental pollution crimes: the number of domestic environmental pollution crimes exhibited an upward trend from 2014 to 2019. 2) Geographical distribution characteristics: Environmental pollution crimes were primarily concentrated in the regions east of the "Hu Huanyong Line". The overall distribution followed the pattern of the "four centers and one belt", with an evident agglomeration effect observed in high-value areas and their surrounding regions. 3) Influencing factors: The number of large-scale industrial enterprises, the proportion of employees in the secondary industry and the per capita disposable income of the residents exhibited significant positive correlations with the occurrence of environmental pollution crimes.

Based on the panel data of 30 provinces in China from 2013 to 2020, this paper analyzes the relationship between scientific and technological talent agglomeration and regional sustainable development. This research employs the spatial durbin model to empirically test the impact and spillover effect of scientific and technological talent agglomeration on regional sustainable development, and then further analyzes the research samples from different regions and talent agglomeration types. Considering the crowding effect of talent agglomeration, this paper proves the nonlinear relationship between talent agglomeration and regional sustainable development through threshold effect model. Results show that, regional sustainable development and scientific and technological talent agglomeration are both in tremendous inequality in China, with a large gap between the eastern region and the central and western regions. Scientific and technological talent agglomeration significantly promotes regional sustainable development, and has a positive spatial spillover effect. The relationship between them will be heterogeneous due to the different regions and talent agglomeration types. The scientific and technological talents from the eastern and western regions and those engaged in applied research and experimental development work have a better gathering effect. The agglomeration of scientific and technological talents of experimental development plays a more significant role in the sustainable development of the eastern region, and all kinds of talents promote the sustainable development of the western region.

Port connects home and abroad, together with the Belt and Road initiative, effectively promote regional economic development. However, there are unclear problems in the port of participating in the construction of Belt and Road initiative, and limited participating in the global production network (GPN) . Therefore, this paper constructs the theoretical framework of port participation in the construction of the Belt and Road from the perspective of GPN, and takes Dongjiang Port as an example. The main conclusions are as follows: 1) There is a cross-level interaction among multi-level actors in port operation, Ports establish financial and logistics channels to participation in the GPN. 2) The participation of ports in the construction of the Belt and Road reflects the path evolution. The initial stage of port integration mainly depends on the value capture and value creation, while the value promotion behavior appears in the consolidation stage, and the high-quality development stage is reflected in value creation and value promotion. 3) The innovation of value behavior at the local and enterprise levels of Dongjiang Port shortens the evolution process of initial stage, promote the port to enter the high-quality development stage under the external stimulus, and appears the value behavior turn, and becomes the fourth generation port as a trading port.

This paper utilizes the Stockholm Institute's arms transfer data and the World Bank's database, adopts network analysis and negative binomial regression and other methods to study the pattern and driving factors of the military technology transfer network along the B&R, and analyzes the influence of the US, and the study finds that:First, the scale of military technology transfer from countries (regions) along the B&R is on a rising trend. Secondly, the military technology transfer network has obvious polarization characteristics and core-marginal structure; Third, Russia is the absolute leader of the largest flow network of military technology transfer, but the network influence and control is on a decreasing trend, and the network influence of China and Turkey is improving significantly. Fourth, the scale of military science and technology transfer from the United States to countries (regions) along B&R Initiative has increased rapidly by 1.52 times, the increasing penetration of military influence into China's neighbourhood and the spatial layout of the militarytechnical transfer is consistent with the scope of Spearman's Rimland theory and creates a posture of encirclement of China. Fifth,Geographical distance, economic and trade relations, geopolitical relations, science and technology innovation capacity, national development level, capital investment, resource endowment and political stability have significant effects on the scale of military technology transfer through the transferring country.

The high-quality development of the region must address two key issues:One is to promote the harmonious coexistence between people and nature, and the other is to promote the spatial coordination of the region. In this study, by using 2020 data, we firstly evaluate the coordination of human-land coupling from the perspective of supply and demand for each district and county in the Wuling Mountain area of Hunan Province, and then analyze the spatial coordination in terms of quality development and spatial connection using the optimized gravitational model and social network analysis method. The results show that:In the coordination of human-land relations, the counties and districts present a spatial pattern of "S" distribution with relative coordination in the west and northeast, dislocation in the southeast, and endangered dislocation, and the whole is in the state of barely coordinated with the largest number of demand lagging types; in the spatial coordination, the gradient effect is significant in the quality of development, there is a significant gradient effect in terms of development quality, characterized by a pattern of east-high and west-low, forming a spatial linkage network structure of "core-semi-core-edge", but the density is low, the function of transmission and interaction is weak, and the linkage effect is insufficient.

The distribution of rural settlements is an important manifestation of man-land relationship in specific regions. Exploring the distribution of rural settlement space in the mountains is an important basic work that reveals the regional characteristics of the rural human-land relationship system in the mountains. This paper is based on Shaanxi Province in the south section of Qinba Mountains as a typical case area. It uses raster cost weighted distance, geographical spatial analysis, accessibility and geographical detectors to systematically analyze the characteristics and influencing factors of rural settlement space in the mountains of Yangxian County. The results show that:the accessibility of Yangxian County has obvious spatial difference, which shows the zonal distribution characteristics extending along the traffic roads. Mountainous rural settlements distribution has significant low elevation and clustering orientation. Yangxian rural settlements are mostly distributed in low-level southern and low-level areas in the south, showing the agglomeration distribution trend. The absolute number and relative proportion of the countryside have gradually increased with the improvement of the level. In the regional system of mountainous areas, natural conditions such as elevation, slope, precipitation, and temperature,as well as education and medical treatment are the key factors affecting the distribution of rural settlement space in the research area.

Based on the data of green patent applications, this article analyzed the evolution characteristics of the spatial correlation network structure of green technology innovation in the Yellow River Basin from 2006 to 2019 by using the modified gravity model and social network analysis method, and identified the influencing factors of the spatial correlation network of green technology innovation by using the Quadratic Assignment Procedure (QAP). The research showed that:1) The spatial correlation network of green technology innovation within the urban agglomeration in the Yellow River Basin presented a complex network structure with multi-threading and multi-flow directions, and gradually had the characteristics of a circle-layer structure over time. 2) The spatial correlation network of green technology innovation had a relatively strict hierarchical structure, and the stability of the network needed to be enhanced. 3) The spatial correlation network of green technology innovation had the characteristics of core-edge structure. 4) The formation and development of the spatial correlation network of green technology innovation in the Yellow River Basin was the result of the combined effect of explicit technology exchange and collaboration and implicit knowledge transfer interaction between different regions and different innovation subjects.

Using multi-source data such as mobile phone signaling data, railway frequency data, network big data and socio-economic statistics, taking districts and counties as the research unit, this paper analyzes the characteristics of daily population movement network in Nanjing metropolitan area, and uses QAP regression model to analyze the influencing factors of daily population movement network. The research results are as follows:1) The scale of daily population movement network in the districts and counties of Nanjing metropolitan area presents a "circle type" distribution feature, the characteristics of "small world" of population movement network is obvious. The obstruction of urban administrative boundary to daily population movement network is still strong; 2) Traffic accessibility, network information connection and differences in service function characteristics such as employment opportunities, consumption vitality and public service attractiveness are the main driving forces of daily population flow movement network in Nanjing metropolitan area, while the driving factors of population movement at a larger scale such as economic level, income level and urbanization rate in previous studies are not significant. The purpose of the study is to analyze the internal mechanism of daily population movement network in metropolitan area, and to provide reference for accelerating the integrated and coordinated development of metropolitan area.

Based on entropy method, this paper uses panel data of 31 provinces in China (except Hong Kong, Macao and Taiwan) from 2011 to 2019 to describe resource and environmental carrying capacity from three dimensions of social carrying level (K1), pollution prevention capability (K2) and ecological restoration potential (K3), which is consistent with the goal of enhancing regional resources and environment carrying capacity. This paper also uses the Dagum Gini coefficient, kernel density estimation, and spatial econometric model to analyze spatial differences, dynamic feature and astringency of environmental bearing capacity of four regions in China which are east, west, middle, northeast parts. The spatial differences include withingroup variation, among groups variation and overall variation. The dynamic feature is described by Kernel density estimation, and astringency consists of σ convergence and β convergence, which is tested by Hausman, Wald, LM and LR model. It is concluded that: 1) The carrying capacity of Western China is greater than that in Eastern China, while the capacity in Western China also develops more rapid. 2) There are significant spatial differences in the resources and environment carrying capacity of these four regions, and the inter-group differences are the main sources. 3) There are significant differences in the dynamic evolution process of the absolute difference of resource carrying capacity in the four plates. 4) The characteristics of σ convergence and β convergence are different in the four tectonic plates. In Eastern China, there is no σ convergence in social carrying level, and there is no β convergence in pollution prevention capability, which puts great pressure on overall improvement of resources and environment carrying capacity.

The coordinated development of cities in the Yellow River Basin is the key to realize regional highquality development, and the deconstruction the urban network based on multi factors also plays an important role in clarifying urban high-quality in the Yellow River Basin. Taking 79 cities (prefectures and leagues) in the Yellow River Basin as the research area, this paper measures the urban network structure by the modified gravity model and social network method through the logical relationship of the "urban node-urban connection-urban community", and finally explores the factors affecting network evolution by QAP correlation analysis and regression analysis. The results show that: 1) There are significant differences in the level of high-quality development in the Yellow River Basin, the number of high-level cities is relatively small, and low-level cities are concentrated in the upper and middle reaches of the Yellow River Basin, especially in Gansu, Shaanxi and Ningxia. 2) There is a significant "club" agglomeration effect within the four plates. 3）Location conditions, transportation infrastructure, industrial structure, government support intensity and scientific and technological innovation have a significant impact on the evolution of high-quality urban network in the Yellow River Basin.

Nearby urbanization is a realistic path choice for the central and western regions to promote newtype urbanization and rural revitalization strategy. By constructing the classification method of spatial evolution types of nearby urbanization, this paper divides the spatial types of nearby urbanization in the central and western regions in 2000-2015. On this basis, from the scale of the whole central and western regions to the scale of the urban agglomerations, this paper systematically analyzes the spatial variation types of nearby urbanization in central and western regions. The study finds that: 1) From the scale of the whole regions, the level of urbanization in the central and western regions continues to rise, the diversity between the east and the west continues to increase, and the difference between the north and the south continues to decrease, and the advantageous spatial units of the county occupies the main part. 2) From the scale of the urban agglomerations, the development level and growth rate of nearby urbanization in the central and western urban agglomeration areas are much higher than those in non-urban agglomeration areas, and they show obvious inter-group differentiation and intra-group differentiation.

As the main position and growth pole of economic and social development, cities are the key to high-quality development. Based on the new development philosophy, this paper builds an urban development quality measurement system, and uses the vertical and horizontal scale method to measure and analyze the development quality of 284 cities at the prefecture level and above in China from 2005 to 2018. Further, with the help of Dagum Gini coefficient method and kernel density estimation method, we investigate the regional differences and dynamic evolution laws of urban development quality in China, and use geographic detectors to explore the driving factors of spatial and temporal differentiation of urban development quality. The research found that: 1) The quality of urban development shows a steady upward trend, thanks to the improvement in the quality of the five sub-dimensions, but the problems of "weakness in the later period" and "strength in the east and weakness in the west" are prominent; 2) The unbalanced phenomenon of urban development quality in China is obvious, but it is gradually changing from a spatially unbalanced state to a spatially balanced state. 3) The absolute difference in the quality of urban development is narrowing year by year, the regional distribution and extension characteristics are prominent, and there is heterogeneity in the differences between cities within the region; 4) Natural conditions and the level of economic development are the main driving factors for the spatial and temporal differentiation of urban development quality, and the driving forces for the level of human capital and government regulation are gradually increasing.

Land resource is an important carrier to support industrial development. The scale and structure of urban industrial land supply reflect the changes of economic development mode, functional orientation, and urban spatial structure. This paper uses Python to obtain the announcement of Guangzhou's land supply results from 2007 to 2020, and uses mathematical statistics and spatial statistics to explore the spatial-temporal characteristics and mechanisms of scale and structure of urban industrial land supply in Guangzhou. The main findings are as follows: 1) Urban industrial land supply and the proportion of inventory construction land has increased. 2) The proportion of land supplied by secondary industry has dropped overall, while the proportion of land supplied by tertiary industry has changed oppositely. 3) From the perspective of three major sectors in secondary industry, the proportion of land supplied for manufacturing industry significantly decreased. 4) Trends in the proportion of land supply in 46 sub-industries can be divided into five main types: Continuous decline, continuous rise, first decrease and then increase, first increase and then decrease, fluctuation. 5) In central urban, suburbs and outer suburbs, real estate land supply accounted for the highest proportion. 6) The combination of industrial land supply can be divided into five categories and ten sub-categories, among which the number of sub-districts with production and living service sector as the main supply type is the largest. 7) Urban industrial land supply is comprehensively influenced by policy tool guidance, land market, agglomeration and diffusion, industrial interaction, industry life cycle, special urban background.

Since the beginning of the reform and opening, Pearl River Delta has experienced dramatical change, transforming from a backward agricultural county into a world factory and further into a global mega city- region. Regional integration has been always highlighted in a serial of regional planning documents regarding the Pearl River Delta. By searching news media on governmental portal sites of Guangdong and the relevant 9 cities, this study collects news media reports that contain keywords of Pearl River Delta and three metropolitan regions (i.e., Guangzhou-Foshan-Zhaoqing, Shenzhen-Dongguan-Huizhou, and Zhuhai-Zhongshan-Jiangmen) in their titles. These reports were identified and further grouped into four dimensions, namely, infrastructure, economy, society, and institution, according to text analysis of keywords in their title and content. Based on this, the study traces the regional integrations of the Pearl River Delta and three metropolitan regions. The differences among the four dimensions along the integration process are also discussed. Our findings show that the changes in news coverage of regional integration have been highly related to the regional planning formulation, as the Pearl River Delta and its integrations increased since 2004 while that of the three regions appeared after 2000.

The creative application of symbiosis to spatial interaction between cities in tourism context. This paper puts forward the concept of tourism symbiosis of urban agglomerations and makes theoretical analysis. Through the gravity model, Euclidean distance model and symbiosis system classification method, this paper discusses some problems of tourism symbiosis space of urban agglomerations in the Guangdong, Hong Kong and Macao Bay Area (GBA). The research shows that the tourism symbiosis organizational model of urban agglomeration in the GBA is in the evolution stage from intermittent symbiosis to continuous symbiosis. The symbiotic organization models among major cities such as Hong Kong, Guangzhou and Shenzhen and their neighboring cities have developed well. Each city has participated in the tourism association network under the intermittent symbiotic organization model, showing a "2+3+4+2" urban agglomeration tourism hierarchy in space, and initially formed three major tourism city groups. It shows the tourism spatial characteristics of multi-level and multi-center group development, which is generally consistent with the positive evolution characteristics of symbiotic organization model in symbiosis theory. The tourism symbiosis behavior pattern of urban agglomerations in the GBA is in the positive evolution stage from competitive symbiosis to reciprocal symbiosis behavior pattern as a whole.

To coordinate the economic development, resources and environment as well as the coordinated development of people's livelihood in urban agglomerations along the Yellow River Basin is not only the practical need to steadily promote the overall strategic layout of "five-in-one", but also the key to fully implement the new development concept. Based on the theory of complex ecosystem, this paper constructed a high-quality development evaluation system, and explored the spatial differentiation and driving factors of high-quality development of urban agglomerations in the Yellow River Basin from 2010-2018 by using the entropy weight TOPSIS method, coupled coordination degree model and geographical probe. The results show that:1) The high-quality development of urban agglomerations have the spatial characteristics of "leading in the lower reaches, revitalizing in the middle reaches and lagging in the upper reaches", and social livelihood of the people is the primary limiting factor. 2) The level of high-quality development tends to converge, but regional differences are significant. Resources and environment promote the convergence of high-quality development. 3) The coupling of high-quality development increases year by year, the degree of coordination decreases obviously, and the characteristics of East-West imbalance are prominent. 4) The spatial differences of high-quality development are caused by multiple factors, among which scientific and technological innovation is the core driving factor.

Under the background of relocating all functions non-essential to Beijing's role as the nation's capital, the rural-urban fringe of Beijing faces the opportunity and challenge of improving the human settlements and adjusting the economic structure at the same time. Taking Chaoyang District as an example, this paper selects the period from 2010 to 2019, combines qualitative discussion and quantitative analysis, focuses on the coordination level of human settlements and economy, and analyzes the characteristics and causes of its changes. According to the analysis results, the coordination of human settlements and economic system has increased obviously, and the spatial balance has been improved. And the coordination state shows an evolution process from human settlements lagging to economic system lagging. Relocating functions non-essential to Beijing's role as the nation's capital is the key factor for the change of coordination level, it improved the human settlements, accelerated the dynamic adjustment of the economic system. In the short term, the coordination level fluctuates greatly, as the human settlements has improved more than economic system gradually, coordination level appeared a downward trend. For sustainable development, we should pay more attention to the coordination of human settlements and economic system.

From the perspective of green total factor productivity (GTFP), this paper investigates the quality of economic development in the middle and lower reaches of the Yellow River basin from 2003 to 2018. We first measure the GTFP at the prefecture level and compare it with traditional TFP. Second, we deconstruct the internal dynamics of the GTFP growth rate. Third, we testify the convergence trend of GTFP as well as verify the impact factors on the GTFP growth rate. The results show that:1) GTFP in the middle and lower reaches of the Yellow River Basin shows a non-equilibrium distribution characterized by "central collapse", and GTFP can better describe the spatial differences of economic quality than traditional TFP. 2) Before the 2008 economic crisis, the cities with higher GTFP are mainly located in Shaanxi and Shandong cities along the Yellow River. During this period, the overall technical efficiency of the region has declined, but it is still the main driving force for the rise of GTFP in all cities. 3) The GTFP has weak σ convergence in the middle and lower reaches of the Yellow River basin. In the case of large regional differences in GTFP, the narrowing trend of differences among cities is slow, and the imbalance of regional development is difficult to resolve in a short time. 4) The GTFP has β convergence in GTFP in the middle and lower reaches of the Yellow River Basin. The growth rate of low-level areas of GTFP is faster, which has a "catch-up" effect.

Since the reform and opening up, China's economy has developed rapidly, but the economic growth in the past mainly depends on the input of factors but not the contribution of factor productivity. Meanwhile, the extensive mode of economic growth has made our country pay a heavy price of resources and environment, as a developing country, China has been based on agriculture before the reform and opening up. With the increasing prominence of environmental problems, the global demands for environmental protection is also rising. Environmental legislation gradually become an important policy means of a country, but also become a constraint force of the national economy. In this critical period of China's rapid economic growth, how to improve China's total factor productivity and the quality of economic growth, and transition to high quality development has become a crucial issue. This paper firstly studies domestic and foreign research of the government environmental legislation, green total factor productivity and the relationship between them. Secondly, the paper analysis the implementation of local environmental pollution and government environmental legislation in China, then studies the measurement method for total factor productivity. Thirdly, Based on the regional total factor productivity index from 2004 to 2017, this paper comprehensively investigates the impact of environmental policy legislation of local governments on total factor productivity by using the differential method. The results show that China's overall total factor productivity is facing a severe decline, especially during 2009-2014, and the spatial distribution of TFP index between the eastern, central and western regions is "non-linear". In addition, local environmental legislation has a significant promoting effect on local total factor productivity, while excessive environmental regulation measures cannot significantly promote the improvement of economic quality and realize the Porter effect.

Optimizing industrial space layout is the key content of development-prioritized zone to promote new industrialization and new urbanization. Taking the coastal area in Fujian province as an example, adopting the database of micro-industrial enterprises and using the county as the basic analysis unit, this study uses EG agglomeration index and coefficient of variation to investigate the evolution characteristics of the industrial space pattern, and reveal the differences in spatial agglomeration and diffusion of different types of industries. Further, the natural and human factors are combined to explore the formation mechanism of the industrial space pattern. The results are illustrated as follows:1) From 2004 to 2013, the level of industrial development of coastal area in Fujian province has increased substantially and the spatial differences have gradually narrowed; 2) The spatial agglomeration and diffusion processes of different industries show significant differences; 3) Topography and ecological availability have a fundamental role in industrial spatial form.

Actively cultivating and constructing urban innovation network has become the key to promote the development of higher quality economy for country and region. This paper using the co-patent data of the SIPO to construct the city innovation network. Then, depicting its structure of three spatial scales (country, inter-region and province) based on the complex network and spatial analysis methods, and analyzing the proximity mechanism of innovation cooperation based on negative two regression method. The research finds that:1) the overall connection of the national innovation network is weak and the network polarization is obvious. The spatial structure shows a radial network with Beijing as the core, Shanghai, Shenzhen, Nanjing, Hangzhou and Fuzhou as the main nodes. In the south China, Shanghai, Nanjing, Suzhou, Hangzhou, Nanchang, Shenzhen and other cities have formed a number of innovation cooperation loops. The interregional innovation network is stronger than that of intra-regional network at sub-region scale. A heterogeneous spatial structure centered on regional central cities is formed in every sub-region. 2) Regression results confirm that geographical proximity, social proximity and technological proximity play a significant role in promoting urban innovative networking. Among them, geographical proximity plays a significant role in promoting proximity, followed by technological proximity and social proximity. The moderating effect of technological proximity and geographical proximity is not significant, the moderating effect of technological proximity and social proximity is significantly positive, and the moderating effect of social proximity and geographical proximity is not significant.