scholarly journals Life Expectancy in Chinese Cities: Spatially Varied Role of Socioeconomic Development, Population Structure, and Natural Conditions

2020 ◽  
Vol 17 (18) ◽  
pp. 6597
Author(s):  
Daquan Huang ◽  
Shuimiao Yang ◽  
Tao Liu
Keyword(s):  
Economic Development ◽  
Life Expectancy ◽  
Eastern China ◽  
Ordinary Least Squares ◽  
Western China ◽  
Weighted Regression ◽  
Chinese Government ◽  
Significant Heterogeneity ◽  
Local Conditions ◽  
Development Level

Improving life expectancy, as well as people’s health and wellbeing, is an important goal both for the Chinese government and the United Nations. Therefore, to analyze the main factors influencing life expectancy in prefecture-level cities in China, this study uses classical ordinary least-squares regression and geographical weighted regression on the data of the latest census. Moreover, regional differences induced by each influencing factor are also depicted in this study. The results demonstrate that there is significant heterogeneity and spatial positive correlation among the distribution of life expectancy in prefecture-level cities, with a generally higher life expectancy in the provincial capitals and eastern China, and lower in western China. The geographically weighted regression analysis shows that the economic development level, medical conditions, demographic structure, natural environment, and city attributes all affect the distribution of life expectancy, but that their effects have significant spatial heterogeneity. Life expectancy of the less developed areas in Western China is affected dominantly by economic development level, whereas medical services and education are of great importance in determining the life expectancy in Northern and Southern China, respectively. Thus, it is crucial to solve health problems based on local conditions, especially focusing on the improvement of health and health care in underdeveloped areas. Meanwhile, for the eastern developed areas, special attention should be paid to environmental protection in the economic process, while striving to achieve high-quality development.

scholarly journals Regional Green Development and Spatial Evolution in China: Abiding by Theory of Dissipative Structure

2018 ◽  
Vol 53 ◽  
pp. 04008
Author(s):  
Fumin Deng ◽  
Hui Zhu ◽  
Xuedong Liang
Keyword(s):  
Economic Development ◽  
Dissipative Structure ◽  
Eastern China ◽  
Indicator System ◽  
Entropy Method ◽  
Central China ◽  
Western China ◽  
Brusselator Model ◽  
Energy Factors ◽  
Green Development

Regional green development can commendably abide by the theory of dissipative structure. The relative dissipative characteristics taken on by regional development are analyzed, in which the energy factors and resources factors are incorporated into the green economic development and green environment support subsystems (2GE system) in line with the definite input characteristics. A more representative indicator system is established, with positive and negative entropy indexes involved. As Brusselator model and information entropy method are employed to calculate the data of 30 China’s provinces from 2008 to 2015, the findings bespeak that green development in China lays particular stress on green economic development assuming higher environment pressure and cost. The development among various regions is getting progressively and evidently different, which is manifested as potent economic base and abundant natural resources in the Eastern China; the backward green economic development and the progress of green environment in Central China; the pursuit of green economic development at the expense of the green environment in Western China and Northeastern China.

scholarly journals An Empirical Study of the Measurement of Spatial-Temporal Patterns and Obstacles in the Green Development of Northeast China

2020 ◽  
Vol 12 (23) ◽  
pp. 10190
Author(s):  
Yongsheng Sun ◽  
Lianjun Tong ◽  
Daqian Liu
Keyword(s):  
Economic Development ◽  
Northeast China ◽  
Temporal Patterns ◽  
Indicator System ◽  
Local Conditions ◽  
Level Indicator ◽  
Development Level ◽  
Green Development ◽  
Resource Endowment ◽  
Development Levels

Green development is not only important for realizing a sustainable development strategy, but also a key approach for constructing an ecological civilization and transforming economic development. On the basis the development concept of a coordinated human–earth relationship and the paradigm of the process–pattern mechanism, this research adopted the drivers, pressures, state, impact, and response (DPSIR) model to build a green development level indicator system. The established indicator system is then applied to explore the spatial-temporal patterns and obstacles in the green development of 34 prefectural cities in Northeast China from 2008 to 2017 by the use of the entropy weight TOPSIS model, the obstacle model and the GIS spatial visualization method. There are three main findings. First, during the research period, the spatial evolution of the green development level of cities in Northeast China has gradually shifted from a small gap at an overall low level to a large gap at an overall high level; the spatial pattern of the green development level in these cities is characterized by a decrease from north to south and obvious spatial agglomeration effects. Second, specific findings in this research fail to indicate that the correlation between the economic development level and green development level of cities in Northeast China is entirely positive. That is, cities with higher economic development levels do not necessarily have higher green development levels, while some cities with lower economic development levels did present higher green development levels, which may be related to each region’s resources and environmental carrying capacity. Third, the mechanisms influencing spatial-temporal variation in the green development level of cities in Northeast China are not identical. Among them, resource endowment conditions, economic development status and government investment scale are playing a vital role in changes in the regional green development level, and they are also behind the diverse evolutionary characteristics presented in the different stages of regional green development. For the cities in Northeast China, in the process of promoting green development and to consolidate their existing green development level, efforts should be made to overcome inefficiencies in socioeconomic growth and to continuously enhance ecological protection and environmental governance. Moreover, it is essential to promote incremental increases in the green development level on the basis of the local conditions through the ingestion, absorption and combination of each city’s own characteristics with lessons from the successful experience of different types of cities. In the future, our research should fully consider the role of urbanization, industrial structure, population density, institutional mechanisms, environmental protection supervision, scientific and technological progress and other factors on the green development level in Northeast China and seek an important entry point to achieve regional human–earth coordination.

Impact of Economic Development Levels and Disaster Types on the Short-Term Macroeconomic Consequences of Natural Hazard-Induced Disasters in China

2020 ◽  
Author(s):  
Rumei Tang ◽  
Jidong Wu ◽  
Mengqi Ye ◽  
Wenhui Liu
Keyword(s):  
Economic Development ◽  
Natural Hazard ◽  
Eastern China ◽  
Regional Growth ◽  
Western China ◽  
Economic Losses ◽  
Short Term ◽  
Geographical Regions ◽  
Development Levels ◽  
Meteorological Disasters

<p>The relationship between natural hazard-induced disasters and macroeconomic growth has been examined widely on global and national scales, but little research has been focused on the subnational level, especially in China. We examined the impacts of natural hazard-induced disasters on the regional growth in China based on subnational panel data for the period from 1990 to 2016. First, we used the number of people affected and the direct economic losses as the measures of the scale of disasters. Then, we used the direct damages of meteorological disasters and earthquakes as disaster measures separately to examine the impacts of different disaster types. Finally, we performed intraregional effects regressions to observe the spatial heterogeneity within the regions. The results show that the adverse short-term effects of disasters is most pronounced in the central region, while the direct damage of disasters is a positive stimulus of growth in the whole of China. However, this stimulus is observed in a lagged way and is reflected differently meteorological disasters in central and eastern China and earthquakes in western China are related to regional growth. The results demonstrate that the short-term macroeconomic impacts of these disasters in the three geographical regions of China largely depend on regional economic development levels and the disaster types.</p>

Comparison Analysis and Strategies on the Regional Internet Industry Development in China

2014 ◽  
Vol 687-691 ◽  
pp. 2087-2091 ◽  
Author(s):  
Fang Ma ◽  
Li Hua Chen ◽  
Qi Qi Hu ◽  
Yi Ping Luo
Keyword(s):  
Local Governments ◽  
Eastern China ◽  
Internet Technology ◽  
Central China ◽  
Western China ◽  
The Internet ◽  
Industry Development ◽  
Internet Industry ◽  
Development Level ◽  
Better Than

The internet has become an important engine of economic growth and social progress. China is a vast territory country and the local governments have different policy to promote the application of the internet technology. Therefore, the development of China’s internet industry and regional differences will be studied to discover the regional spread pattern of the internet industry in this article, in order to provide suggestions for the depth development of China’s internet industry. The main finding is there are a lot of differences among China’s internet regional development level. The internet development level of Eastern China has been significantly better than the central and western provinces and cities, and Central China has been better than Western China from 2006 to 2010. Finally, the suggestions will be presented for the regional internet industry development.

scholarly journals Drivers and Policy Choices of Industrial Total-Factor Coal Productivity: Evidence From Eastern China

2021 ◽  
Vol 8 ◽  
Author(s):  
Di Wang ◽  
Yueying Zhao ◽  
Zhiyuan Zhang ◽  
Xiaodi Yang ◽  
Xinchen Wen
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Eastern China ◽  
Energy Utilization ◽  
Eastern Region ◽  
Local Conditions ◽  
Frontier Analysis ◽  
Regulatory Policies ◽  
The Impact ◽  
D Investment

Identifying the critical factors of industrial total-factor coal productivity (TCP) and its promotion paths will help achieve the goals of regional energy conservation and pollution reduction. Based on the perspective of total-factor productivity, this paper integrates the methods of stochastic frontier analysis (SFA), Kaya identity, and STIRPAT model to systematically diagnose the temporal and spatial characteristics and the heterogeneous sources of the industrial TCP in 11 provinces of eastern China, and it proposes some differentiated regulatory policies for different provinces. The results show that the TCP is increasing year by year and tends to converge, which indicates that increasing TCP is more and more challenging. Further research shows that there are significant spatial differences in the impact of the economic development level (EDL), industrial economic structure (IES), energy consumption intensity (ECI), and energy consumption structure (ECS) on industrial TCP. As the original driving factors of technological progress, the impact of R&D investment intensity (RII) and R&D investment levels (RIL) on industrial TCP is relatively consistent in different regions. The former has a negative congestion effect on TCP due to the imbalance of R&D investment structure, while the latter has a positive effect on TCP. Therefore, the eastern region should increase R&D expenditure and optimize R&D expenditure structure as a general way to improve TCP in each region and adopt differentiated regulatory policies in economic development and energy utilization according to local conditions.

scholarly journals Determinants of geographical inequalities in domestic water supply across city of Pune, India

2021 ◽  
Author(s):  
Jyoti Jain Tholiya ◽  
Navendu Chaudhary ◽  
Bhuiyan Alam
Keyword(s):  
Water Supply ◽  
Geographically Weighted Regression ◽  
Statistical Significance ◽  
Ordinary Least Squares ◽  
Weighted Regression ◽  
Domestic Water ◽  
Local Conditions ◽  
Geographical Inequalities ◽  
Peripheral Areas ◽  
The City

Abstract The water supply system in the city of Pune is affected due to the fast and chaotic development in and around the city. The quantity of per capita water supply and hours of supply per day varies substantially across the city. Some central parts of the city are benefited from a large availability of water as compared to peripheral areas. This research employed Ordinary Least Squares (OLS) Regression, Geographically Weighted Regression (GWR), and the new version of GWR termed as Multi-scale Geographically Weighted Regression (MGWR) models to better understand the factors behind observed spatial patterns of water supply distribution and to predict water supply in newly merged and proposed villages in the Pune city's periphery. Results showed statistical significance of slope; distance from service reservoirs; and water supply hour. MGWR and GWR models improved our results (adjusted R2: 0.916 and 0.710 respectively) significantly over those of the OLS model (adjusted R2: 0.252) and proved how local conditions influence variables. The maps of GWR display how a particular variable is highly important in some areas but less important in other parts of the city. The results from the current study can help decision-makers to make appropriate decisions for future planning to achieve Sustainable Development Goal number 6 (SDG #6), which focuses on achieving universal and equitable access to safe and affordable drinking water for all.

scholarly journals Impact of Economic Development Levels and Disaster Types on the Short-Term Macroeconomic Consequences of Natural Hazard-Induced Disasters in China

2019 ◽  
Vol 10 (3) ◽  
pp. 371-385 ◽  
Author(s):  
Rumei Tang ◽  
Jidong Wu ◽  
Mengqi Ye ◽  
Wenhui Liu
Keyword(s):  
Economic Development ◽  
Natural Hazard ◽  
Eastern China ◽  
Regional Growth ◽  
Western China ◽  
Economic Losses ◽  
Short Term ◽  
Geographical Regions ◽  
Development Levels ◽  
Meteorological Disasters

Abstract The relationship between natural hazard-induced disasters and macroeconomic growth has been examined widely on global and national scales, but little research has been focused on the subnational level, especially in China. We examined the impacts of natural hazard-induced disasters on the regional growth in China based on subnational panel data for the period from 1990 to 2016. First, we used the number of people affected and the direct economic losses as the measures of the scale of disasters. Then, we used the direct damages of meteorological disasters and earthquakes as disaster measures separately to examine the impacts of different disaster types. Finally, we performed intraregional effects regressions to observe the spatial heterogeneity within the regions. The results show that the adverse short-term effects of disasters is most pronounced in the central region, while the direct damage of disasters is a positive stimulus of growth in the whole of China. However, this stimulus is observed in a lagged way and is reflected differently—meteorological disasters in central and eastern China and earthquakes in western China are related to regional growth. The results demonstrate that the short-term macroeconomic impacts of these disasters in the three geographical regions of China largely depend on regional economic development levels and the disaster types.

scholarly journals Determinants and Differences of Township Hospital Efficiency among Chinese Provinces

2019 ◽  
Vol 16 (9) ◽  
pp. 1601 ◽  
Author(s):  
Bo Li ◽  
Muhammad Mohiuddin ◽  
Qian Liu
Keyword(s):  
Economic Development ◽  
Regional Difference ◽  
Malmquist Index ◽  
Theil Index ◽  
Local Conditions ◽  
Development Level ◽  
Grey Correlation Analysis ◽  
Correlation Analysis Method ◽  
The Difference ◽  
Township Hospitals

This study aimed to measure the efficiency and change in efficiency over time of township hospitals among Chinese provinces, to decompose the difference in efficiency between districts, and to study the correlations between the difference in efficiency and its determinants. Based on Chinese provincial panel data, the empirical analysis was established using data envelopment analysis (DEA), Malmquist index, Theil index decomposition method and Grey correlation analysis method. First, it was found that the township hospitals in most provinces were operating in an inefficient state, and the township hospitals in most provinces achieved gains in efficiency. Second, from 2003 to 2016 the shrinkage of the difference in provincial efficiency of township hospitals progressed slowly. Intra-regional difference is the main cause of the overall provincial efficiency difference of Chinese township hospitals, while inter-regional difference is the minor cause of the overall difference. Third, the correlation between the difference of overall provincial efficiency and the difference of economic development level is the highest among all the correlations, while other determinants rank second to seventh place in their degree of correlation with respect to the overall difference in provincial efficiency. Furthermore, the correlations between the intra-regional difference of provincial efficiency of Chinese township hospitals and its determinants vary tremendously across regions. Based on our findings, we can conclude, first, that efforts should be made to improve the overall provincial difference in efficiency of Chinese township hospitals, and enhance the utilization level of input resources, and to reduce resource waste. Second, in order to shrink the overall provincial efficiency of Chinese township hospitals, the most important measure that should be taken is to improve the economic development level in relatively backward provinces in order to lay a solid economic foundation for the improvement of efficiency and shrink the differences in efficiency between provinces. Third, more attention should be paid to the shrinkage of intra-regional efficiency differences in Chinese township hospitals, while the narrowing of inter-regional efficiency difference should not be ignored. For each region, it is necessary to recognize the difference in the relative importance of determinants, and to make development strategies according to local conditions so as to make full use of local characteristics and advantages.

scholarly journals A Geographically Weighted Regression Model for Health Improvement: Insights from the Extension of Life Expectancy in China

2021 ◽  
Vol 11 (5) ◽  
pp. 2022
Author(s):  
Tao Liu ◽  
Shuimiao Yang ◽  
Rongxi Peng ◽  
Daquan Huang
Keyword(s):  
Economic Development ◽  
Life Expectancy ◽  
Regression Model ◽  
Low Income ◽  
Geographically Weighted Regression ◽  
Weighted Regression ◽  
Health Improvement ◽  
Eastern Region ◽  
Geographically Weighted Regression Model ◽  
Development Levels

Health improvement is an important social development goal for every country. By using a geographical weighted regression (GWR) model on the 5th and 6th censuses data, this paper analyzes the spatially varied influencing factors of the change in life expectancy of residents in Chinses cities. The results indicate that: (1) The initial level of life expectancy may have a negative correlation with its increase, indicating that life expectancy in different areas may eventually converge to a higher level; moreover, the degree of convergence of life expectancy in cities with different economic development levels is variant. (2) Results of geographically weighted regression model demonstrate significant spatial heterogeneity in the effects of the level of economic development, medical conditions, demographic structure, and natural environment on health improvement. Natural conditions, such as topography, dictate the change in life expectancy in most cities in the middle eastern region of China. Change of educational level is the leading factor in the vast western region while the change in birth rate is the most critical in Xinjiang. Thus, local-based strategies are critical for solving health problems, especially with a focus on promoting health conditions in middle-income and low-income areas.

Sign in / Sign up

Export Citation Format

Share Document