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

Author(s):  
Yao Li

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.

2021 ◽  
Vol 275 ◽  
pp. 03015
Author(s):  
Jing Xu ◽  
Mingyue Sun ◽  
Hening Wang

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.


2019 ◽  
Vol 11 (19) ◽  
pp. 5454
Author(s):  
Xuemei Zhou ◽  
Jiahui Liang ◽  
Xiangfeng Ji ◽  
Caitlin Cottrill

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.


Author(s):  
Yuling Xia ◽  
Chengsong Liao ◽  
Dianming Wu ◽  
Yanzhuo Liu

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).


2020 ◽  
Vol 218 ◽  
pp. 01034
Author(s):  
Yan Li ◽  
Zhi-wei Liu ◽  
Nan-nan Li ◽  
Jia-li Zhang ◽  
Ya-chen Wang ◽  
...  

As an internal driving force to promote economic growth, residents’ consumption also has an important impact on energy consumption. Based on the difference of consumption structure between urban and rural residents, this paper introduces the income gap variable of urban and rural residents, analyzes the impact of urban and rural residents’ consumption on energy consumption, and provides reference for the implementation of energy conservation and emission reduction policies. On this basis, the author believes that the government should take flexible measures to control energy consumption according to the differences between urban and rural areas, make accurate efforts, and steadily promote the implementation of energy conservation and emission reduction.


2021 ◽  
Vol 13 (11) ◽  
pp. 6427
Author(s):  
Naishu Yu ◽  
Yanzhe Wang

This paper empirically studies the impact of digital inclusive finance on the income structure of urban and rural residents in eastern, central, and western China. The results show that, first, digital inclusive finance is beneficial to narrowing the urban–rural per capita disposable income gap that has a disequilibrium effect among regions. Second, narrowing the wage income, property income, and transfer income gaps is beneficial but has little effect on the net operating income gap between urban and rural residents. Third, narrowing the wage income, property income, and transfer income gaps reduces the total income gap, and the wage income gap has the strongest intermediary force. In the end, the paper puts forward corresponding countermeasures for the development of digital inclusive finance to narrow each of these income gaps in different regions of China.


2021 ◽  
Vol 13 (5) ◽  
pp. 2849
Author(s):  
Xiaozhun Peng ◽  
Hongyou Lu ◽  
Jiaming Fu ◽  
Zhijuan Li

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.


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