Research on the Digital Economy's Impact on China's Economic Growth:Based on the Variations in Urbanization Levels Across China's Eastern,Central,and Western Regions and Sectoral Heterogeneity

This paper uses inter-provincial panel data from 2011 to 2017,a linear regression model,and a threshold model to conduct empirical analyses of the impact of the digital economy on China's overall economic growth and the three main sectors of industry.The paper then investigates the impact and effects the digital economy has had on the economic growth of the three main sectors of industry in China's eastern,central,and western regions.Finally,the paper investigates the most significant differences among the various regions and the threshold effects of urbanization levels on the relationship between the digital economy and economic growth.The findings indicate a significantly positive correlation between the digital economy and regional economic growth.Moreover,geographical factors notably influence this correlation.The digital economy exerts a positive effect on all sectors of industry.It may not substantially impact industrial development in regions with highly developed infrastructure.Regarding the other regions,the digital economy exhibits varying degrees of impact due to the differences in the specific indicators.The conclusion drawn by the threshold model is that the magnitude of the threshold effect correlates with geographic factors.No threshold effect was observed in the eastern region,while the threshold effect occurred in the central region when the urbanization levels for the provinces were below 0.6645.Similarly,the threshold effect was noted in the western region when the urbanization level was below 0.3931.Considering all of this,the study also offers policy recommendations that will help balance the regional development of digital economies,accelerate the digital transformation of traditional industries,enhance digital infrastructure construction,refine the formulation and implementation of data policy,and establish relevant incentive mechanisms.

Study on the Urbanization Process of Kunming City and Its Impact on the Water Environment of Dianchi Lake

[ Objective] We aimed to analyze the urbanization process of Kunming City and its impact on the water environment of Dianchi Lake. [ Method ] Using the Analytic Hierarchy Process （AHP）, we assessed the urbanization leve of Kunming in 1998 -2008 based on composite indicator evaluation system. Afterwards, we calculated water pollution composite index of Dianchi Lake and introduced the EKC to set up a coupling relation- ship model between the urbanization level and water environment quality. [ Result] During 1998 -2008, the urbanization level of Kunming increased gradually, that is, it was lower than 30.0% before 2002, with slow growth; at the later stage, it grew fast, and reached 75.0% in 2008. Water pol- lution composite index of Dianchi Lake showed that Dianchi Lake was polluted seriously, especially Caohai. From the EKC, we can see that the re- lationship curves between the urbanization level of Kunming and water pollution composite index of Dianchi Lake were akin to inversed U shapes and still at an antagonistic stage at present. [ Condusion] The research could provide scientific references for discussing the relationship between urban- ization process and water environment.

Predicting urbanization level by main element analysis and multiple linear regression---taking Xiantao district in Hubei Province as an example

In this paper we firstly select main factors relating to urbanization level of Xiantao District in Hubei Province by main element, then, make model of urbanization level by analysis of multiple liner regression, and lastly predict its urbanization level

A study on urban system planning of Xiantao city in Hubei Province,China

This paper studies developing history and power of city and town in Xiantao district and prediction method of urbanization level. It planes that city and towns is all around district centerXianto city, first, second third town axes; first center of Xiantao district is Xiantao city, second are Penchang, Tonghaikou, Mazui town.

Impact of Urbanization and Industrialization upon Surface Water Quality:A Pilot Study of Panzhihua Mining Town

In order to investigate the impact of urbanization and industrialization on surface water quality, a pilot study of Panzhihua （攀枝花） mining town was carried out. The urbanization of Panzhihua region was dominated by industry development and population growth. The level of urbanization showed that it was 18.44% in 1965, and reached 45.99% in 1983. Then, it reached 53.71% in 2005, so the urbanization process was very rapid in Panzhihua region. In the process of industrialization, the level of industrialization was fluctuated at around 70% from 1965 to 2005, which was influenced by mining, extracting, and smelting production. In the processes of urbanization, population growth caused an increase in life pollution sources, and an amount of effluents bearing coliform, COD （chemical oxygen demand）, NH4^＋-N, and BOD5 （five-day biological oxygen demand） were released into Jinsha （金沙） River, which could cause decline in the surface water quality. While in the processes of industrialization （especially industrial scale expansion）, more effluent bearing heavy metals could cause degra- dation of surface water quality. Thus, the measures, such as adjusting industry structure, optimizing the cleaning technology, and controlling pollution sources, should be enhanced to alleviate the current state of water quality exacerbation.

基于多尺度单元的城市化水平时空测度——以中国环渤海地区为例（英文）

Urbanization is a complex process reflecting the growth, formation and develop- ment of cities and their systems. Measuring regional urbanization levels within a long time series may ensure healthy and harmonious urban development. Based on DMSP/OLS night- time light data, a human-computer interactive boundary correction method was used to ob- tain information about built-up urban areas in the Bohai Rim region from 1992 to 2012. Con- sequently, a method was proposed and applied to measure urbanization levels using four measurement scale units： administrative division, land-sea location, terrain feature, and geomorphological types. Our conclusions are： 1） The extraction results based on DMSP/OLS nighttime light data showed substantial agreement with those obtained using Landsat TM/ETM＋ data on spatial patterns. The overall accuracy was 97.70% on average, with an average Kappa of 0.79, indicating that the results extracted from DMSP/OLS nighttime light data were reliable and could well reflect the actual status of built-up urban areas. 2） Bohai Rim＇s urbanization level has increased significantly, demonstrating a high annual growth rate from 1998 to 2006. Areas with high urbanization levels have relocated evidently from capital to coastal cities. 3） The distribution of built-up urban areas showed a certain degree of zonal variation. The urbanization level was negatively correlated with relief amplitude and altitude. A high level of urbanization was found in low altitude platforms and low altitude plains, with a gradual narrowing of the gap between these two geomorphological types. 4） The measure- ment method presented in this study is fast, convenient, and incorporates multiple perspec- tives. It would offer various directions for urban construction and provide reference values for measuring national-level urbanization.