Analysis of Per Capita Disposable Income of Rural Residents

2020 ◽  
Vol 09 (03) ◽  
pp. 412-421
Author(s):  
冉 赵
Keyword(s):  
Disposable Income ◽  
Rural Residents ◽  
Per Capita ◽  
Capita Disposable Income

Co-Integration Analysis of the per Capita Income between Countryside and Townsfolk in China

2014 ◽  
Vol 687-691 ◽  
pp. 4564-4567
Author(s):  
Wei Jiang
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Disposable Income ◽  
Annual Data ◽  
Net Income ◽  
Rural Residents ◽  
Correction Model ◽  
Per Capita ◽  
Integration Analysis ◽  
Capita Disposable Income

According to the annual data of rural residents’ per capita net income and urban per capita disposable income throughout the country from 1978 to 2010, we used co-integration analysis to inspect the relation between them, and then established error correction model. The analysis result indicated that there was a secular stable balance relationship between rural residents’ per capita net income and urban per capita disposable income throughout the country, in which elastic coefficient was less than 1. The 22.87% deviation of rural resident’s income and long-term equilibrium value has been amended. We can utilize error correction model to predict the error between rural resident’s income from 2011 to 2013 and real data be within 1%. The model has superior prediction accuracy.

A study on the impact of China’s urbanization on the quantity of municipal solid waste produced

2019 ◽  
Vol 38 (2) ◽  
pp. 184-192 ◽  
Author(s):  
Xuemei Han ◽  
Ci Hu ◽  
Ling Lin
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Central Government ◽  
National Policy ◽  
Disposable Income ◽  
Consumption Decisions ◽  
Per Capita ◽  
Recycling Policy ◽  
The Impact ◽  
Capita Disposable Income

Based on the IPAT model, this study selects the two-order lag period that is then applied to the dynamic model created to explore the impact of China’s urbanization on the quantity of municipal solid waste (MSW) produced. The study uses panel data collected from 27 provinces, autonomous regions, and municipalities in China that report directly to the central government. Results show that nationwide urbanization and urban per capita disposable income are positively correlated with the quantity of MSW produced. However, specifically, urbanization in the eastern and midwestern areas of China is insignificantly correlated with the quantity of MSW produced. It is, therefore, recommended that citizens should make sensible and environmental consumption decisions based on per capita disposable income. It is also suggested that quality development and Stead’s urbanization plan should become national policy, and that MSW categorization and a recycling policy should be implemented to treat MSW effectively.

scholarly journals On farmers’ Economic Income in Hubei Province of China During the COVID-19 Epidemic

2021 ◽  
pp. 1-9
Author(s):  
Bin Zhao ◽  
Jinming Cao
Keyword(s):  
Factor Analysis ◽  
Arima Model ◽  
Hubei Province ◽  
Disposable Income ◽  
Total Output ◽  
Support Vector ◽  
The Real ◽  
Per Capita ◽  
Capita Disposable Income ◽  
Economic Income

This paper discusses the statistical measurement of the impact of COVID-19 major emergencies on farmers’ economic income in Hubei Province. Hubei Province was selected as the object of analysis, and five data of total output value of agriculture, forestry, animal husbandry, fishery and per capita disposable income of farmers in Hubei Province from the first quarter of 2013 to the second quarter of 2020 were collected by using the Internet. Since all the collected data were macroeconomic data, these data were taken the logarithm to meet the economic significance. The per capita disposable income of farmers was taken as the response variable, and the main factors affecting farmers’ income were obtained by factor analysis. Livestock husbandry and fishery industries were the main industries in Hubei Province. Then the score of factor analysis were taken as explained variable to establish a regression model composed of influencing factors. This paper uses the multiple linear regression, support vector regression to fitting and forecasting data, ARIMA model of time series analysis, introduced at the same time, through the AIC model choice, with the first quarter of 2013 to 2019 in the second quarter fitting training, backward prediction two quarters, and three or four quarter of 2019 compared with the real data, through to the predicted results of the sequence diagram and evaluation index model to compare the mean square error (RMSE). Three models predict per capita disposable income of farmers in the first and second quarter of 2020. It has been found that performance better ARIMA model in the model compare is worse than before, and three kinds of predicted values are higher than the real value of the model, showed the outbreak to the influence of the agricultural economy in Hubei province is serious. On this basis, taking into account the characteristics of geomorphic climate in Hubei province, constructive suggestions are put forward.

scholarly journals COVID-19 and Regional Income Inequality in China

2021 ◽  
Vol 9 ◽  
Author(s):  
Jianfu Shen ◽  
Wai Yan Shum ◽  
Tsun Se Cheong ◽  
Lafang Wang
Keyword(s):  
Income Inequality ◽  
Economic Consequences ◽  
Disposable Income ◽  
Rural Residents ◽  
Regional Income ◽  
Social Distancing ◽  
Income Per Capita ◽  
Regional Income Inequality ◽  
Per Capita ◽  
The Impact

This study investigates the impact of COVID-19 and social distancing policies on regional income inequality. We base our study on a sample of 295 prefecture (and above) cities in 31 provinces in China. A distribution dynamics approach is employed to reveal the trend and movement of disposable income per capita in each city before the COVID-19 pandemic, during the COVID-19 pandemic, and in the period when the COVID-19 was under the control. The findings reveal significant negative economic consequences of the COVID-19 in the first quarter of 2020 and show that most cities will converge to a level of disposable income which is much less than the Pre-COVID level if the COVID pandemic persists. Regional income inequality has intensified in the cities that have a longer duration of stringent social distancing policies during the COVID-19 pandemic and disappeared in the cities with policies of short duration. Disposable income per capita for urban residents recovered quickly when the transmission of coronavirus was effectively contained; and yet the impact of the pandemic on rural residents remains unresolved, if not intensified. This study demonstrates a significant divergence of the trend of disposable income across cities with different durations of social distancing policies and between urban and rural residents. It also highlights the importance of stringent social distancing policies in containing the spread of virus in a short time and calls for special policy attention for rural regions in the recovery from the COVID-19.

scholarly journals Influential Factors of Residential Commodity Price Changes in Sanya

2018 ◽  
Vol 10 (12) ◽  
pp. 96
Author(s):  
Ying-Yu Du ◽  
Yong-Qi Huang ◽  
Can-Xu Yao ◽  
Yuan-Biao Zhang
Keyword(s):  
Gross Domestic Product ◽  
Price Level ◽  
Housing Prices ◽  
Commodity Price ◽  
Disposable Income ◽  
Domestic Product ◽  
Land Price ◽  
Residential Land ◽  
Per Capita ◽  
Capita Disposable Income

Residential commodity price is not only an important index of government macro-control, but also an important livelihood topic in society. The purpose of this paper is to take Sanya as an example to make an empirical analysis on the relationship between the factors affecting commodity housing prices, and their effects on housing prices. By using pearson correlation analysis, factor analysis and principal component regression method, it is found that the main factors influencing the housing price in Sanya are the housing sales area, the gross domestic product, the per capita disposable income, and the land price level of residential land. Among them, housing sales area and Sanya city house price changes in the opposite direction, the regional gross domestic product, per capita disposable income, residential land price level plays a positive role in housing prices.

scholarly journals Analysis of China’s Pure Electric Vehicle Sales Based on Spatial Econometric Models

2020 ◽  
Vol 13 (1) ◽  
pp. 12
Author(s):  
Huaying Gu ◽  
Chaoqun Han
Keyword(s):  
Spatial Dependence ◽  
Serial Correlation ◽  
Disposable Income ◽  
Spatial Econometric ◽  
Gasoline Price ◽  
Urban Households ◽  
Loan Rate ◽  
Spatial Econometric Models ◽  
Per Capita ◽  
Capita Disposable Income

This paper empirically investigates the spatial dependence and serial correlation structures among different China’s brands of pure electric vehicle (EV) sales using spatial econometric models. Based on the newly proposed economic distance spatial weight matrix, the empirical results show that EV endurance mileage, power battery capacity, charging time, government subsidy, retail price, and each brand market share have important impacts on EV sales. The per capita disposable income of urban households, gasoline price, loan rate and the number of charging pile are statistically significant determinants of EV sales. In particular, the improvements of the number of charging pile and the rise of gasoline price can increase EV sales, while the rise of loan rate or tight monetary policy may increase the consumers’ cost of purchasing EVs and then decrease EV sales. Another interesting finding is that though the per capita disposable income of urban households increases the EV sales decreases. A plausible explanation would seem to be that the impact of the per capita disposable income of urban households on the EV sales is offset by the decline in government subsidies or the incomplete infrastructures such as the inconvenient of charging stations. Besides, the significantly positive spatial dependence and serial correlation exist among EV manufactures indicates that when developing EV sales strategies, EV manufacturers must consider not only the properties of the EVs they produce, but also the properties of similar types of EVs produced by other brands in the EV market.

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