scholarly journals Inclusive Financing’s Development and Urban-rural Income Gap—Empirical analysis based on provincial panel data

2021 ◽  
Vol 275 ◽  
pp. 03015
Author(s):  
Jing Xu ◽  
Mingyue Sun ◽  
Hening Wang
Keyword(s):  
Panel Data ◽  
Empirical Analysis ◽  
Rural Areas ◽  
High Speed ◽  
Eastern Region ◽  
Rural Residents ◽  
Income Gap ◽  
Urban And Rural Residents ◽  
Urban And Rural Areas ◽  
China’S Economy

With the further development of China’s economy, the income of urban and rural residents has increased. At present, China’s economy has changed from a stage of high-speed growth to a stage of high-quality development. However, uneven and insufficient regional development is still a problem that requires great attention. Inclusive Financing’s development provides residents with more access to financial services and is one of the important ways to build a well-off society and develop the economy in recent years. Based on the Peking University Digital Inclusive Financing Index, this paper studies the relationship between the development level of Inclusive Financing and the income gap between urban and rural residents by constructing panel data of 31 provinces, cities and regions in China and establishing a model for empirical analysis. The study found that the development of Inclusive Financing has a significant impact on the income gap between urban and rural areas, among which the improvement of the level of Inclusive Financing in the economically developed eastern region has a very obvious effect on narrowing the income gap between urban and rural areas. However, blindly developing Inclusive Financing in the underdeveloped central and western regions will also cause the further widening of the income gap between urban and rural areas. The conclusion of this paper has certain positive significance for narrowing the income gap between urban and rural areas and promoting the development of Inclusive Financing.

Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm

2020 ◽  
pp. 002072092093683
Author(s):  
Yao Li
Keyword(s):  
Empirical Analysis ◽  
Financial Development ◽  
Rural Areas ◽  
Clustering Algorithm ◽  
Financial Industry ◽  
Rural Residents ◽  
Income Gap ◽  
Urban And Rural Residents ◽  
Urban And Rural Areas ◽  
The Impact

With the rise of the tertiary industry, the financial industry has achieved unprecedented development, which is mainly reflected in the rapid growth of economic aggregate, the increasingly balanced financial structure system and the increasingly diversified financial products. However, with the rapid development of financial industry, the income of urban and rural residents is increasingly unbalanced. The increasing income gap between urban and rural areas has caused a large number of adverse phenomena in the process of economic development, seriously affecting the income distribution of the people and even causing social instability. Therefore, in today’s big data era, it is necessary to systematically study and analyze the impact of financial industry development on the national income gap between urban and rural areas. At the same time, it is of great significance to improve the problem of excessive income gap between urban and rural areas. This paper mainly analyses the relationship between the three effects of the development of financial industry and the income gap between urban and rural residents. In the empirical aspect, the paper creatively uses the fuzzy Kmeans clustering algorithm to regression analysis the panel data of a certain area from 2010 to 2018. At the same time, in the empirical data analysis, this paper creatively replaces the European norm measure of the Kmeans clustering algorithm with the AE measure, and puts forward a proposal. The index of financial development level is based on the proportion of loans from financial institutions. Through theoretical and empirical analysis, this paper draws the following conclusions: the financial scale in the financial industry will have a huge impact on the income gap between urban and rural areas. Finally, based on the above problems and current situation, this paper puts forward relevant improvement suggestions.

scholarly journals The Influence of Information Services on Public Transport Behavior of Urban and Rural Residents

2019 ◽  
Vol 11 (19) ◽  
pp. 5454
Author(s):  
Xuemei Zhou ◽  
Jiahui Liang ◽  
Xiangfeng Ji ◽  
Caitlin Cottrill
Keyword(s):  
Public Transport ◽  
Rural Areas ◽  
Urban Areas ◽  
Information Service ◽  
Rural Residents ◽  
Rural And Urban Areas ◽  
Transport Behavior ◽  
Urban And Rural Residents ◽  
Rural And Urban ◽  
Urban And Rural Areas

Rural and urban areas are mainly connected by public transport in China. The characteristics of the trips of local residents in rural and urban areas are different; therefore, the demand for public transport information services is different. Based on the revealed data, a structural equation model is applied to examine the critical factors affecting the behavior of urban and rural residents in choosing public transport in the Beidaihe District, Qinhuangdao City, China. The effect of information service factors on public transport behavior of urban and rural residents is obtained. The influence level of public transport information service on public transport behavior of urban and rural residents before and during travel is discussed. This study provides valuable insights to improving public transport services between urban and rural areas of China, which can attract more residents to use public transport and promotes sustainable development between urban and rural areas.

scholarly journals Dynamic Analysis and Prediction of Food Nitrogen Footprint of Urban and Rural Residents in Shanghai

2020 ◽  
Vol 17 (5) ◽  
pp. 1760
Author(s):  
Yuling Xia ◽  
Chengsong Liao ◽  
Dianming Wu ◽  
Yanzhuo Liu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Moving Average ◽  
Rural Residents ◽  
Urban And Rural Residents ◽  
Total Food ◽  
Development Goals ◽  
Per Capita ◽  
Urban And Rural Areas ◽  
N Management

The food nitrogen (N) footprint reflects the amount of reactive N emission and its impact on the environment as a result of food production and consumption to satisfy the basic food demands of an urban population. The N-Calculator model was used to estimate the food N footprint and its dynamic changes in Shanghai from 2000 to 2017, and the auto regressive integrated moving average (ARIMA) time series model was used to predict the food N footprint in Shanghai from 2018 to 2027. The results show that the food N footprint was higher in urban areas (15.3–18.8 kg N/capita/yr) than rural areas (12.6–17.4 kg N/capita/yr) of Shanghai from 2000 to 2017. The change in the food N footprint was consistent with changes in food consumption in urban and rural areas, and the total food N footprint of urban and rural residents was positively correlated with the per capita disposable income and population whereas it was negatively correlated with the Engel’s Coefficient and price index. It was predicted that the per capita food N footprint will gradually decrease in 2018–2027 in urban areas of Shanghai, but it will generally increase in the rural areas. This study will help to initiate policy interventions for sustainable N management and contribute to the achievement of key sustainable development goals (SDGs).

scholarly journals Does Financial Development Promote the Growth of Property Income of China’s Urban and Rural Residents?

2021 ◽  
Vol 13 (5) ◽  
pp. 2849
Author(s):  
Xiaozhun Peng ◽  
Hongyou Lu ◽  
Jiaming Fu ◽  
Zhijuan Li
Keyword(s):  
Rural Areas ◽  
Fixed Effects ◽  
Rural Residents ◽  
Investment Environment ◽  
Continuous Increase ◽  
Explanatory Variables ◽  
Financial Factors ◽  
Urban And Rural Residents ◽  
Property Income ◽  
Urban And Rural Areas

The property income growth of urban and rural residents is an important part of the continuous increase in the disposable income of these residents, which is also inseparable from the deepening development of the financial market. After sorting out the various sources of income that affect residents’ property in the existing research and controlling regional fixed effects, based on data from 31 provinces in China, this article considers important financial factors and the process of urbanization as explanatory variables to perform panel regression on the property income of provincial residents under fixed effects and random effects. In the context of large differences in the investment environment between urban and rural areas, we further examine the effects of financial factors on the property income of urban and rural residents. Only by expanding the investment opportunities and enhancing the investment ability of the residents, can the property income of the residents, especially the rural residents, be guaranteed to grow steadily and sustainably.

scholarly journals Nutrition habits and frequency of consumption of selected food products by the residents of urban and rural area from the Subcarpathian voivodeship

2021 ◽  
pp. 165-174
Author(s):  
Mateusz Szałajko ◽  
Wiktoria Stachowicz ◽  
Monika Dobosz ◽  
Martyna Szałankiewicz ◽  
Aneta Sokal ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Rural Areas ◽  
Fast Food ◽  
Eating Habits ◽  
Survey Method ◽  
Rural Residents ◽  
Overweight People ◽  
Urban And Rural Residents ◽  
Urban And Rural Areas ◽  
Processing Techniques

Background. The dynamic development and change of rural lifestyle patterns towards urban patterns has been noticeable since the second half of the 20th century. Nutrition, as well as the lifestyle in urban and rural areas, has undergone a process of urbanization, which is evidenced by the following an increasing number of overweight people. Objective. The aim of the study was to compare eating habits and frequency of consumption of selected groups of products between the urban and rural residents from the Subcarpathian voivodeship. Material and methods. The survey was carried out on a sample of 279 persons from urban and rural areas of Subcarpathian voivodeship. In this study, the diagnostic survey method consisting of 3 (different) parts was used. To check the significance of differences, U Mann-Whitney and Kruskal-Wallis tests were used; whereas correlations between variables were determined by the Spearman's rank of correlation coefficient and Pearson's chi-quadrat test. Results. In the part concerning eating habits, statistically significant differences occurred among others; for the circumstances of eating meals, the most commonly consumed snacks, food processing techniques and the most frequently selected fat. In the part concerning the frequency of consumption of individual product groups, significant differences occurred among others; for dairy products, grain products, fast food, alcohol. There was a correlation between the frequency of consumption of individual products and socioeconomic status. Conclusions. The quality of the diet and eating habits of urban and rural residents of Subcarpathian voivodeship does not differ significantly. The detected differences in eating habits were more influenced by the education and socioeconomic status of the examined group than the place of residence.

scholarly journals Does High-Speed Railway Influence Convergence of Urban-Rural Income Gap in China?

2020 ◽  
Vol 12 (10) ◽  
pp. 4236
Author(s):  
Weidong Li ◽  
Xuefang Wang ◽  
Olli-Pekka Hilmola
Keyword(s):  
Rural Areas ◽  
High Speed ◽  
Factor Model ◽  
High Speed Railway ◽  
Income Gap ◽  
Rural Income ◽  
Convergence Clubs ◽  
Convergence Club ◽  
Urban Rural ◽  
Urban And Rural Areas

Transportation is an important factor affecting the balance of regional economic pattern. The construction of high-speed railway enhances the mobility of population, capital, technology and information resources between urban and rural areas. Will it further affect the income gap between urban and rural areas? Based on the nonlinear time-varying factor model, this paper analyzes the convergence of urban-rural income gap with the angle of high-speed railway. After rejecting the assumption of overall convergence in the traditional four economic regions, three convergence clubs of urban-rural income gap were found. For these ordered logit regression model is used to explore the initial factors that may affect the formation of “convergence club”. Empirical results show that the construction of High-speed railway has effectively narrows the urban-rural income gap in China, but it is not the cause of the formation of the three convergence clubs. The convergence effect of High-speed railway on the urban-rural income gap in China is still relatively weak.

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