Prefecture Level Research Articles

New Rural Housing Construction

Based on the background of the change in the urban–rural relationship in Guangdong Province, this paper constructs an analysis framework of urban and rural coordination development. Using the data of 19 administrative units above prefecture level in Guangdong Province, this paper studies the space–time evolution of urban and rural coordination development during 2000–2015 through Principal Component Analysis (PCA) and Exploratory Spatial Data Analysis (ESDA) and explores the influencing factors and driving forces behind it. It is found that there is club convergence in the urban and rural coordination development in Guangdong Province. This kind of convergence is reflected in the findings that the east bank of the Pearl River estuary is the best area for the urban and rural coordination development where Guangzhou, Dongguan, Shenzhen is the core and the level of urban and rural coordination development in the east, west and north of Guangdong Province is relatively low, which also reflects a geographical polarization feature. Based on the analysis of the factors that promote the urban and rural coordination development in the main years of 2000–2015, it can be concluded that location, economic development and urbanization level are the most important driving forces, followed by industrial structure. This research can be used as a decision-making reference for urban and rural coordination development and new countryside construction in China in the New Era.

Digital Inclusive Finance and Regional Innovation Performance

Digital inclusive finance is a new industry generated by inclusive finance in the context of the development of big data and the Internet. The development of digital inclusive finance promotes regional innovation, while the optimization and upgrading of industrial structure and the development of financial agglomeration provide good external conditions for the development of digital inclusive finance and regional innovation. Based on panel data from 248 prefectures from 2011-2019, this paper examines the impact of digital inclusive finance on regional innovation and the moderating role of the advanced development of industrial structure and financial agglomeration in this promotion process at the prefecture level. The study finds that digital inclusive finance promotes regional innovation; in terms of the transmission mechanism of the effect, it is found that the advanced industrial structure and financial agglomeration can strengthen the promotion effect of digital inclusive finance on regional innovation. Therefore, the development of digital inclusive finance can be promoted in terms of industrial structure optimisation and attracting financial agglomeration to enhance China's regional innovation performance.

Development of performance indicators for hepatitis countermeasures as a tool for the assessment and promotion of liver cancer prevention in Japan.

Hepatitis countermeasures are being promoted by governments in Japan. We aimed to develop performance indicators (PIs) to assess the process and outcome of such countermeasures implemented for the prevention of viral hepatitis-related liver cancer at the national and prefectural government levels. We developed 19 PIs for hepatitis countermeasures implemented by local governments, covering the morbidity and mortality of liver cancer, hepatitis testing, subsidy programs for examinations and antiviral treatment, and education on hepatitis patient care to healthcare workers. We analyzed the PIs for each prefecture from Fiscal Year (FY) 2018-2020. The morbidity and mortality of liver cancer significantly decreased in the study period. The percentage of municipalities conducting hepatitis screening was already high at 95% in FY2017. The usage rate of government-subsidized screenings did not change. The subsidy usage rate for periodic viral hepatitis examination significantly increased. Meanwhile, the subsidy usage rate for antiviral treatment of hepatitis B increased, whereas that for hepatitis C decreased. The number of certified healthcare workers providing care for hepatitis patients increased significantly, and these workers were efficiently placed at regional core centers, institutions specialized in liver diseases, health care centers, and municipal governments. Liver cancer mortality was positively correlated with hepatitis screening, subsidies for periodic examinations, and the number of hepatitis medical care coordinators but was negatively correlated with subsidies for anti-HCV therapy, suggesting that rigorous countermeasures were implemented in prefectures with high liver cancer mortality. The developed PIs could be a useful tool for monitoring government efforts and achievements, thereby providing basic data for setting practical goals in liver cancer prevention.

Impact of carbon emission price and natural resources development on the green economic recovery: Fresh insights from China

Tackling climate change has risen to the top of the global economic agenda.Therefore, we analyze the role of natural resource development, carbon emission price, and financial development (FD) on green economic recovery in China. From 2000 to 2020, we compile study data on 286 towns at the prefectural levels. The econometric methods, such as DID analyses," are used to estimate the proposed linkages empirically. Our study's findings shown that carbon emission price negatively impacts Chinese green economic growth. In contrast, natural resources development and financial development increase green economic growth over the long and short terms. These findings support the idea that natural resources have a linear influence. While natural resource development and financial development positively impact carbon emission price. Furthermore, the long-term validity of the data supports green economic growth. Based on the results, it is suggested that the government and policymakers develop a policy that offers a platform for using the natural resources development and financial development in a better and more effective way, which may aid the nation in improving green economic growth.

Modeling on Urban Land Use Characteristics and Urban System of the Traditional Chinese Era (1930s) Based on the Historical Military Topographic Map

The quantitative urban system structure in historical periods and the long time-scale urban land area grid dataset with spatial attributes are important for land use and land cover change (LUCC) research. In this study, we aimed to measure the area of county level and above cities in mainland China in the 1930s, also known as the traditional Chinese era (TCE), using a geographic information system (GIS) model and 1:50,000 military topographic maps. Furthermore, we aimed to identify the structure and characteristics of the urban system in the TCE according to the administrative area division using methods such as the rank size law. The results of this study revealed that 1265 county level and above cities existed in the TCE, including 25 provincial level or above cities, 179 prefectural level cities, and 1061 county level cities. The total land area of all of the cities was 1396.48 km2, with a mean value of 1.1 km2 and a standard deviation of 2.37 km2. The rank-size analysis indicated that the urban system in TCE was characterized by large cities with insignificant development (q = 0.829 < 1, R2 = 0.905). The results of the Lorenz curve and Moran analyses showed that the spatial distribution of the urban systems in China during the traditional period exhibited nonuniform agglomeration. Large-scale military topographic maps of historical periods have proven to be a good source for land use reconstruction. The 1° × 1° grid urban land area dataset constructed based on a GIS model in the TCE is important for future research on historical LUCC and can provide basic data for climate change models, urban economic history, and other disciplines.

Can the opening of China railway express reduce urban carbon emissions? a Difference-in-differences analysis in China

In the background of global “carbon neutrality,” China Railway Express (CRE) is contributing to the long-term development of low-carbon environmental protection while promoting economic growth. Based on panel data of 284 cities at the prefecture level and above in China from 2003 to 2019, we empirically investigate the impact and mechanism of CRE opening on urban carbon emissions using the multi-period DID model and mediating effect model. Under the assumption of meeting parallel trends, we find that the opening of CRE considerably lowers urban carbon emissions by .78 percentage points as compared to the control group. This finding holds after placebo testing, PSM-DID estimation, replacing key variables, excluding other policies and disturbances from the opening of the high-speed railway (HSR), and overcoming endogeneity problems. According to the findings of the mechanism tests, the influence of transportation substitution, improved industrial structure, economic agglomeration, and trade openness are crucial mechanisms for reducing carbon emissions by opening CRE. Further heterogeneity tests show that the carbon reduction effect of CRE opening is more pronounced in east-central China, larger and non-resource-based cities. Therefore, this study suggests that the Chinese government should pay attention to the positive effect of CRE on environmental protection. The government should accelerate the construction of comprehensive transportation infrastructure while rationalizing the layout of economic activities and population clustering.

How Has the Inter-City Corporate Network Spatio-Temporally Evolved in China? Evidence from Chinese Investment in Newly Established Enterprises from 1980–2017

Based on social network analysis (SNA) and the modified Boston Matrix (also known as Market Growth Rate—Relative Market Share Matrix or Four Quadrant Analysis, which was developed by the Boston Consulting Group (BCG) in the early 1970s.), this paper presents the temporal and spatial evolution process of inter-city corporate investment networks in 338 city regions (prefecture level and above) in China from 1980 to 2017. First, we find that inter-city investment linkages formed a diamond-shaped connection structure, with Beijing–Shanghai–Shenzhen–Chongqing as the spatial vertices; moreover, the overall investment network underwent a transition from looseness to aggregation. Second, the spatial layout of module division presents a situation of overall fragmentation and partial agglomeration, and regional integration is increasing. Third, the resource control capability of nodes showed the Beijing unipolar pattern before the 2000s and developed into the Beijing–Shanghai–Hangzhou one-pole, dual-core pattern after the 2000s. The reachability of nodes presents the Beijing uni-polar pattern during all the study years. The core–periphery model of nodes weakened over the study period, and the nodes’ positions have obvious administrative hierarchy and economic level orientation. Fourth, the node potentials and development stages are stronger in the east than in the west overall. Finally, we propose some political implications that the government can consider in order to improve the regional coordination of development.

The failure of collaborative agglomeration: From the perspective of industrial pollution emission

The green transformation of economic growth mode is one of the keys to promote high-quality development. This paper starts with the collaborative agglomeration of manufacturing and producer services, demonstrates the impact of collaborative agglomeration on industrial pollution emission through theoretical analysis, and then uses panel data of 285 prefecture level cities in China from 2004 to 2019 to verify the relationship between them. The results show that collaborative agglomeration significantly increased industrial pollution emission, but the effect mainly existed in small and medium-sized cities, cities with more development zones, cities with provincial high-tech industrial parks and the observation range from 2009 to 2015. The results of subdividing producer services show that transportation, warehousing and postal services, finance, information transmission, computer services and software industries have intensified industrial pollution emission in the collaborative agglomeration with the manufacturing industry. Mechanism analysis shows that collaborative agglomeration fosters the city's “low-level innovation preference” and promotes the expansion of the number of enterprises characterized by the entry and extension of the duration of highly polluting enterprises. It objectively forms a “quantity-priority orientation”, thus increasing industrial pollution emission. The above conclusions mean that the development of urban industry at this stage should be based on quality and efficiency, rather than pursuing the disordered expansion of quantity. This paper provides beneficial policy implications for reducing local governments' blind behavior and awakening the awareness of environment-friendly economic growth.

Do City Exports Increase City Wages? Empirical Evidence from 286 Chinese Cities

The optimization of income distribution is an important index to achieve high-quality economic development in the process of urbanization. Using matched data from the China Statistical Yearbook and Customs Statistical Database, this paper examines the impact of city exports on city wages based on panel data from 286 Chinese cities at or above the prefecture level. The paper finds that city exports increase city wages through technology-upgrading mechanisms and profit-sharing mechanisms. This conclusion is found to be robust after a series of tests. The paper further analyses the impact of city exports on city wages by classifying the location and scale of cities. The results show that city exports increase the wages of large cities, eastern cities and central cities but have no effect on medium cities, small cities and western cities. In the process of urbanization, it is essential to further improve the quality and efficiency of exports, increase investment in R&D and education, optimise income distribution and promote regional coordinated development.

Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan

The Japanese government adopted policies to control human mobility in 2020 to prevent the spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19). The present study examined the impact of human mobility on COVID-19 cases at the prefectural level in Japan by devising an indicator to have a relationship between the number of infected people and on human mobility. We calculated origin–destination travel mobility within prefectures in Japan from March 1st to December 31st, 2020, using mobile phone data. A cross-correlation function (CCF) was used to examine the relationship between human mobility and a COVID-19 infection acceleration indicator (IAI), which represents the rate of change in the speed of COVID-19 infection. The CCF of intraprefectural human mobility and the IAI in Tokyo showed a maximum value of 0.440 at lag day 12, and the IAI could be used as an indicator to predict COVID-19 cases. Therefore, the IAI and human mobility during the COVID-19 pandemic were useful for predicting infection status. The number of COVID-19 cases was associated with human mobility at the prefectural level in Japan in 2020. Controlling human mobility could help control infectious diseases in a pandemic, especially prior to starting vaccination.

Multi-scale variations and impact factors of carbon emission intensity in China.

China's carbon emissions have developed swiftly in recent decades, which will not only affect the nation's own sustainable development, but have a potentially negative impact on global climate stability. Given that socioeconomic development is susceptible to regional heterogeneity and geographic scales, a systematic exploration of spatiotemporal variations of carbon emission intensity (CEI) and their drivers across different levels is conducive to enacting more reasonable and efficient measures for emission reduction. However, there is still a lack of comprehensive analysis of these issues. In this paper, we attempted to quantify and compare the spatiotemporal evolution and spatial spillover effects of impact factors on CEI from nighttime light imagery and socioeconomic data at two China's administrative levels by utilizing the variation coefficient, spatial autocorrelation model and spatial econometric methods. The results showed that the spatiotemporal variations of CEI were greater at the prefecture level compared to the provincial level during 2000-2017. There were significant positive spatial autocorrelation of CEI at two administrative levels, and self-reinforcing agglomeration was more substantial at the prefectural level than that provincial level. While the local spatial clustering of CEI of each administrative level altered with scale dependence, the binary spatial structure (High-High and Low-Low) of CEI remained relatively steady in China. Various driver factors not only had direct effects on local CEI, but had spatial spillover effects on neighboring areas. Our findings illustrate that China's CEI is sensitive to the space-time hierarchy of multi-mechanisms, and suggest that "proceed in the light of local conditions" strategies can assist the Chinese government for CEI mitigation.

The effect of high-speed railway construction on urban carbon emission intensity and mechanism under the perspective of multidimensional heterogeneity: A quasi natural experiment based on 281 cities at prefecture level and above in China

The effect of high-speed railway construction on urban carbon emission intensity and mechanism under the perspective of multidimensional heterogeneity: A quasi natural experiment based on 281 cities at prefecture level and above in China

Progress of research on energy-related carbon emission accounting methods at the prefectural and county levels

Progress of research on energy-related carbon emission accounting methods at the prefectural and county levels

旅游发展对城市生态文明建设的影响及空间溢出效应——基于我国284个地级及以上城市的实证研究

PDF HTML阅读 XML下载 导出引用 引用提醒 旅游发展对城市生态文明建设的影响及空间溢出效应——基于我国284个地级及以上城市的实证研究 DOI: 10.5846/stxb202203280756 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家社会科学基金（21BGL149）；湖南省国内一流培育学科建设项目（5010002） Impact of tourism development on the construction of urban ecological civilization and its spatial spillover effect: An empirical study on 284 prefecture level and above cities in China Author: Affiliation: Fund Project: The National Social Science Fund of China；Domestic first-class cultivation discipline construction project in Hunan Province 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:生态文明建设是实现"美丽中国"的必由之路，旅游因其"绿色"属性与之联系十分密切，论证旅游发展能否促进生态文明建设并探究其空间溢出特征具有重要意义。在构建旅游发展对城市生态文明建设影响及空间溢出效应理论框架的基础上，通过熵权TOPSIS法对全国284个地级及以上城市2004-2019年生态文明建设水平（ECC）进行测度，使用空间杜宾模型揭示旅游发展对城市生态文明建设的影响及空间溢出效应。结果表明：①各城市ECC均取得不同程度提升，相对高值区集中于长江和黄河经济带下游沿线，低值区多分布在中西部地区；区域尺度下，各地区ECC长期呈"东-中-西"递减格局，内部发展差异性与其存在明显空间错位。②旅游发展能够显著促进"本地"和"邻地"城市生态文明建设，具体表现为"三轮驱动"下的水平提升，其对城市经济系统的驱动力显著大于生态和社会系统。③东、中、西部地区旅游发展对城市生态文明建设的影响和空间溢出效应均得到释放，空间异质性下二者作用强度与城市ECC基本"区域重叠"。④政策制定上，一方面在长期落实旅游业"生态优先"原则的基础上，加快旅游数字化建设和文旅融合步伐，充分释放其对生态文明建设的产业外部性；另一方面需加强旅游专项转移支付力度、构建东西部旅游开发对口帮扶机制，激发西部地区旅游内生动力。 Abstract:Construction of ecological civilization is one way to realize "beautiful China". Tourism is closely related to it because of its green attribute. It is of great significance to demonstrate whether tourism development can promote the construction of ecological civilization and explore its spatial spillover characteristics. This paper built a theoretical framework of the impact of tourism development on urban ecological civilization construction and spatial spillover effects. The ecological civilization construction level (ECC) of 284 prefecture level and above cities in China from 2004 to 2019 was measured by entropy weight TOPSIS method; The spatial Doberman model is used to reveal the impact of tourism development on the construction of urban ecological civilization and spatial spillover effect. The results show that:(1) the ECC of each city has improved to varying degrees, the relatively high value areas were concentrated along the lower reaches of the Yangtze River and the Yellow River economic belt, and the low value areas were mostly distributed in the central and western regions; On the regional scale, ECC in each region has been in a decreasing pattern of east-middle-west for a long time, and there is an obviously spatial dislocation between the internal differences of regional ECC and the development level of ECC among various regions. (2)Tourism development can significantly promote the construction of ecological civilization in local and adjacent cities, which is embodied in the improvement of the level under the "three wheel drive", and its driving force on the urban economic system is significantly greater than that of the ecological and social system. (3) The impact of tourism development on urban ecological civilization construction and spatial spillover effect in the east, middle and west regions have been released. Under the spatial heterogeneity, the intensity of the two effects basically overlaps with the urban ECC. (4) In terms of policy development, In order to bring into play the industrial externalities of tourism for the construction of ecological civilization, local governments should actively promote the digitalization of tourism and the integration of tourism and cultural industries, based on the principle of "ecological priority" in the long term; on the other hand, Chinese Government need to strengthen the transfer of special funds for tourism and establish a mechanism to support tourism between the eastern and western cities in order to achieve the development of tourism in the western region. 参考文献 相似文献 引证文献

Study on Contribution of Carbon Emission Intensity Based on Oaxaca-blinder Decomposition Method by Big Data Evaluation in Different Economic Level Cities of Shandong Province

We studied the difference in carbon emission intensity by the Oaxaca blinder decomposition method with the panel data of 17 prefecture level cities in Shandong Province from 2007 to 2016. Per capita GDP, industrial structure, urbanization level, and energy consumption intensity are important factors affecting carbon emission intensity. The increase in urbanization rate and energy consumption intensity leads to an increase in carbon emission intensity. The reduction of the proportion of secondary industry in low-level cities is conducive to the reduction of carbon emission intensity. At the same time, we selected factors from the economic, energy, and social indicators in the low-level city rating system to reveal the contribution of different factors to the difference in carbon emission intensity. This is helpful to narrow the gap among the cities, accelerate the transformation from low-carbon cities to non-carbon cities, and realize the economic development of low-level cities.

Comprehensive Evaluation of High Quality Development of Sharing Economy in 16 Cities of Anhui Province

The article constructs an evaluation index system for the high-quality development of the sharing economy from three dimensions: infrastructure, economic development, and social progress, and comprehensively evaluates the high-quality development level of the sharing economy in 16 provincial-level cities in Anhui Province. The results indicate that the overall development level of the sharing economy in the sixteen cities of Anhui Province is not high, and there is an imbalanced and insufficient development situation where the development level in the central region is high and the two ends are low. Among the 16 prefecture level cities, only Hefei, Lu'an, Wuhu, and Fuyang have a comprehensive factor of sharing economy development level greater than 0, and the comprehensive factor score of sharing economy development level in various prefecture level cities in the central Anhui region is relatively high, followed by the northern and southern Anhui regions. Finally, the article summarizes and proposes countermeasures from three aspects: infrastructure construction, diversified business models, and market norms.

The impact of cultural diversity on urban housing prices in China

<p>Using the commercial housing price data of 254 cities at prefecture level and above in China, this paper measures the cultural diversity by the diversity of Chinese dialects, and studies the impact of regional culture represented by dialects on urban housing prices. The research shows that after controlling the economic development level of the city, the urban ecological environment and other factors, the cultural diversity measured by dialect types has a significant negative impact on the price of urban commercial housing, that is, the more diverse the culture, the lower the house price, and the cultural diversity will restrain the house price by hindering the inflow of local population.</p>

Do Central Inspections of Environmental Protection Affect the Efficiency of the Green Economy? Evidence from China’s Yangtze River Delta

As an important part of China’s ecological civilization, the impact of the Central Inspections of Environmental Protection (CIEP) on the development of a green economy has been widely recognized. This article uses the first round of the Central Inspections of Environmental Protection (CIEP) and the “look-back” in cities above the prefecture level in China’s Yangtze River Delta as a quasi-natural experiment to construct more scientific green economic efficiency indicators based on OH (2010), and employs a multi-period spatial DID (difference-in-differences) model to empirically investigate the impact of the CIEP on the urban green economic efficiency. This study confirms that: (1) The Central Inspections of Environmental Protection have a significant contribution to the green economic efficiency of cities, and the “look-back” is of great significance to the long-term green development of cities. (2) The Central Inspections of Environmental Protection have had a positive impact on the building of a pro-clear government–business relationship in coastal and riverine areas, promoting the application of green technology research and development, and, thus, improving the green economic efficiency of cities. (3) Under the constraints of the central environmental protection inspection system, the southern Jiangsu region has been effective in promoting the green transformation of enterprises to enhance the efficiency of the city’s green economy due to its location endowment and historical tradition of opening ports and trading in the late Qing Dynasty. (4) Under the pressure of environmental regulation, some enterprises chose to relocate their production to non-inspected areas, which had a negative spillover effect on the green economic efficiency of the cities they moved into. Policy Implications: The impact of central environmental inspections on the efficiency of urban green economies varies from time to time and place to place, and it is important to regulate the use of administrative resources and strengthen inter-provincial coordination to promote synergy and cooperation across provincial environmental inspection systems. This paper provides ideas for understanding the logical starting point for the implementation of the central environmental inspection system, and for better promoting the green transformation and high-quality development of regional economies based on national characteristics.

The Mechanism of Stabilizing Economic Growth of Public Prevention System

The Outline of the “Healthy China 2030” Plan proposes to build a big healthy society by perfecting health service system and continuous improving residents’ physical health, and it advocates to promote health human capital to the same importance to education human capital. Based on the panel data of 271 prefecture level cities in China from 2007 to 2020, this paper constructs a fixed effect model to empirically analyze the mechanism of the public prevention system to reduce macroeconomic fluctuations and promote economic growth. The research shows that there are three channels for the public prevention system to stabilize economic growth: 1) Financial input for construction directly expands aggregate demand and promotes economic growth. 2) Improved overall public health facilitates the accumulation of human capital and promote intensive economic growth. 3) Stabilized social order and economic expectations reduces macroeconomic fluctuations and therefore drives economic development. The heterogeneity test shows that due to the regional differences in policy attention, education investment and environmental protection, the role of public prevention system in promoting economic growth in the central and northeast regions is significantly weaker than it is in the western and eastern regions.

Urban Green Innovation Efficiency in China: Spatiotemporal Evolution and Influencing Factors

Investigating urban green innovation efficiency (UGIE) is imperative because it is correlated with the development of an ecological civilization and an innovative country. Spatiotemporal evolution and influencing factors of UGIE are two important scientific problems that are worth exploring. This study presents an indicator system for UGIE that includes input, expected output, and unexpected output, and employs a super-efficiency slacks-based measure (super-SBM) to calculate UGIE in 284 cities at or above the prefecture level in China from 2005 to 2020. Then, we adopted spatial auto-correlation to identify its spatial differences among these cities and Geodetector to evaluate its influencing factors. The results are as follows: (1) The overall UGIE tended to rise, except in northeastern China, megacities, and super large-sized cities. (2) The UGIE of Chinese cities exhibited remarkable spatial differences and auto-correlation, and the “low-low” type enjoyed the most local spatial auto-correlations. (3) Sociocultural factors represented by the number of collections in public libraries became the most important factors affecting the UGIE in China.