Spatial and temporal heterogeneity of the impact of per capita income on household indirect carbon emissions in western China

With China entering the stage of high-quality development,the issue of carbon emission has become a hot research topic.This paper analyzes the different temporal and spatial effects of per capita income on household indirect carbon emissions in western China.Based on the data of Chinese Family Panel Studies(CFPS)in 2016 and 2018 in the western China,this paper uses Regression analysis and Bayesian correlation analysis to study the relationship between per capita income and household indirect carbon emissions.The results showed that the indirect carbon emissions generated by the expenditure on food,housing and household equipment in the household consumption structure in the western China were relatively high.In 2016-2018,the per capita income and per capita household consumption indirect carbon emissions in the western China showed an increasing trend.There was a positive correlation between per capita income and indirect carbon emissions of per capita household consumption,and its correlation was gradually enhanced in time dimension.In the spatial dimension,the household indirect carbon emissions in Yunnan,Qinghai,Guangxi Zhuang and Ningxia in the western China were greatly affected by per capita income,while the household indirect carbon emissions in Guizhou was least affected by per capita income.Finally,the paper puts forward some problems that we should consider in the process of facing the per capita income growth and climate change:the collection of carbon tax,the optimization of household consumption structure,the research and development of low-carbon products,and the differentiated carbon reduction.

The Relation between Financial Expenditure for Agriculture( FEA) and Per Capita Net Income of Farmers( PCIF):A Case Study of Jiangsu Province

Agricultural development is indispensible to financial support. On the basis of data of the financial expenditure for agriculture( FEA) and per capita net income of farmers( PCIF) of Jiangsu Province in 1990-2012,with the aid of software R,this paper established the linear regression model for the relation between financial expenditure for agriculture and per capita net income of farmers through the function lm. Using the function summary,this paper obtained the summary statistical data,and made diagnostic check of regression model from image command plot and variance analysis table. Finally,it came up with pertinent recommendations including increasing financial expenditure for agriculture,optimizing expenditure structure,and balancing regional development.

Dynamic Changes in Per Capita Net Income of Rural Residents in Nyingchi City of Tibet

Through an in-depth analysis of the per capita net income of rural residents in Nyingchi City,it was known that the per capita net income of rural residents in Nyingchi City was increasing at high speed in recent 10 years. However,the wage income,household operating income,and agricultural income gap constitute the major factors influencing the gap of the per capita net income of rural residents in Nyingchi City. Finally,it came up with recommendations including promoting the reasonable flow of labor to the secondary and tertiary industries,increasing the wage income and transfer income of rural residents,accelerating the construction of small towns in rural areas,promoting the development of rural cooperatives,implementing the strategy of " benefiting farmers and strengthening tourism",promoting integration of agriculture and eco-tourism,promoting the development of modern agriculture,and expanding diversified production income of farmers.

A Prediction Model of Peasants’ Income in China Based on BP Neural Network

According to the related data affecting the peasants’ income in China in the years 1978-2008,a total of 13 indices are selected,such as agricultural population,output value of primary industry,and rural employees.Based on the standardized method and BP neural network method,the peasants’ income and the artificial neural network model are established and analyzed.Results show that the simulation value agrees well with the real value;the neural network model with improved BP algorithm has high prediction accuracy,rapid convergence rate and good generalization ability.Finally,suggestions are put forward to increase the peasants’ income,such as promoting the process of urbanization,developing small and medium-sized enterprises in rural areas,encouraging intensive operation,and strengthening the rural infrastructure and agricultural science and technology input.

Territorial Inequality of Net Income per Peasant in Shandong Province and Its Mechanism

Income inequality among farmers living in different regions was an important form of territorial inequalities. Studying the territorial inequality of the net income per peasant was an emphasis of this paper, and Shandong Province was pointed as the case study region. By the help of logistic regression, it could be found that the special distribution of the net income per peasant in Shandong Province was affected by three factors： distance to No.308 National Highway, distance to the coastline in the east of Shandong Province, and urbanization rates. Based on the decomposition of Gini index, the net income per peasant was divided into four parts, and it was found that the income from family business and salary were the two major sources of income. As to the mechanism for income inequality, it was proved that urbanization was still the key factor. In order to reduce income inequality, the local governments should promote urbanization through improving road networks, such as building highways, which could connect rural areas with the major nodes such as big cities and the port cities in the east.

The Relationship between the Percentage of the Elderly and Per Capita Income in 1990

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Per Capita Monthly Income of Urban and Rural Residents

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Empirical Analysis on the Influencing Factors of the Net Income of Farmers——A Case of Hebei Province, China

According to the relevant data of farmers' net income from the Hebei Statistical Yearbook 2009, seven indicators are selected covering regional gross production x1, the total output of the primary industry x2, the number of the people employed x3 and the number of the large livestock at the end of year x4 and so on, to analyze the factors that affect the per capita net income of farmers. The results show that the regional gross production x1 is in positive proportion to the total output value of the primary industry and the influneces are great; the total output value of the non-agricultural industry x5 and the local financial expenditure x6 are the important factors that affect the income of farmers; though the total value of rural residents'fixed investment x7 is in positive proportion to the income of farmers, the degree is not so great; the regression coefficient of the number of people employed x3 and the number of the large livestock at the end of year x4 is negative and the number of people employed x3 is a positive correlation to the net income of farmers. Based on the above analysis, the countermeasures on improving the income of rural residents are put forward: firstly, optimizing the rural indutrial structure, promoting the developement of the primary industry and improving the regional total output of production; secondly, expanding the development channel of non-agricutlural economic and attracking the rural surplus laborers; thirdly, enlarging the local financial expenses and Expanding the developmental space of the three agricultural issues concerning peasants, countryside and agriculture.

The Chinese Urban and Rural per Capita Income and Trend Analysis

This paper uses the ARMA model method to fit the data of the urban and the rural residents’ per capita income in China and builds the MA(2) and AR(2) model. With the model, this paper predicts their trends in 5 years, also uses the prediction to analyze the income gap. The results show that in the next 5 years, the rural and the urban residents’ per capita income will be increasing steadily, but the level remains very low, the income gap is still large.

Income Growth of Peasants Based on Grey Theory

Taking Jiangsu Province for example and using the relevant data in Jiangsu Statistical Yearbook and Statistical Communique of Jiangsu Province on National Economic and Social Development during 2002-2009,the thesis selects eight indexes including per capita net income of farmers,the fixed asset investment level in rural areas,average educational level,agricultural scientific and technological level,urbanization level,industrialization level,average consumption level per rural residents and per capita GDP and adopts the theory of grey correlation to analyze the factors influencing the peasants' net income.As shown in the result,the effect on the peasants' net income gives the following subsequence from great to little:average consumption level per capita of rural residents,urbanization level,average educational level,industrialization level,per capita GDP,number of scientific and technical personnel and fixed asset investment level in rural areas,that is,r06>r04>r02>r05>r07>r03>r01.Then combining with the practical conditions,the thesis makes a detailed analysis of each factor influencing the peasant's income growth and proposes corresponding measures in order to improve the peasants' income.

Trends on Rural Household Net Income Structure Based on Surveys of Baoding Villages from 1930-1998

Using the rural survey data preserved by the Chinese Academy of Social Sciences＇ （CASS） Institute of Economics, this paper analyzes changes in the level and structure of per capita net income in the eleven villages of Baoding Prefecture, Hebei province, over the 1930-1997periods. According to the surveys, per capita net income level of the villages maintained consistent growth, as indicated by survey data on the years of 1930, 1936, 1957, 1986 and 1997, except for 1946 which saw decline, and enjoyed rapid growth particularly in the years of reform and opening-up after 1986. The changes reflect the national trendsustained decline of the proportion of net income from household operations versus eontinuous growth of the proportion wages income takes of the whole income.

Empirical Study on the Effect of Abolishing Agricultural Tax on Farmers' Income

The panel dataset which covered the socio-economic data of 31 provinces （municipalities and autonomous region） in China from 2000-2007 was used to do empirical analysis on the effect of abolishing agricultural taxes on farmers＇ income by referring to the fixed effect estimation method. It found that the abolition of agricultural taxes increased farmer＇s net income per capita by 2%. Combining with the results of empirical analysis, related policy suggestions were put forward to increase farmers＇ income.

The Impact of China's Fiscal Expenditure in Agriculture on Farmer's Income

Based on the account of the vital role which the national finance played in supporting agriculture,the thesis presents the current situation of financial support for agriculture in China,in terms of the limited scale and irrational structure of financial support expenditure in agriculture.On the basis of the brief introduction of the current level of Chinese farmers' income,the thesis discusses the effects of scale and irrational structure of financial support expenditure in agriculture on the farmers' income,according to the related data of financial support expenditure in agriculture and rural per capita net income.The results indicate that the calculating regression equation has a remarkable explanation power,reflecting the positive role of financial support expenditure in agriculture played by national finance in increasing the farmers' income.As regards the structure of financial support expenditure in agriculture at present,according to the proportion from high to low,the expenditure primarily consists of three parts from high to low in sequence as follows:productive expenditure and funds for public undertakings,capital construction expenditure,and rural relief expenditure plus science and technology funds.Such sequence deviates from the marginal production effects of financial support expenditure in agriculture and the correlation of farmers' income,which demonstrates the severe irrationality of the structure of financial support expenditure in agriculture.Corresponding countermeasures are put forward as follows:on one hand,we should continue intensifying the efforts to support agriculture financially in order to form a regular increase mechanism;on the other hand,we should adjust and optimize the structure of financial support expenditure in agriculture,and further crystallize the investment flows.

The Analysis of the Basic features of Peasant Households with Different Income levels——A Case of 259 Peasant Households in Three Villages of Hebei Province,China

According to the urban and rural income levels and the national poverty line,peasant households are classified into poor households,middle-income households and wealthy households.Based on the investigation data of 259 peasant households in three villages of Hebei Province,the features of family structure,economy,ideology and communication of peasant households with different income levels in current status are analyzed.The result shows that there are great differences in family structure,ideology,economy and communication of peasant households with different income levels.The low-income households are featured by unreasonable family structure,heavy burden,conservative behavior and blocking information.While the middle and high income households are good at communicating and willing to take risk and armed with high skills.Based on this,relevant suggestions are put forward to promote the development of peasant households,such as optimizing family structure,cultivating the capacity of the core numbers of the family,guiding households to choose a suitable development path,encouraging farmers to work out,ensuring the legitimate rights and interests of migrant workers,flourishing rural culture,and setting up good platform for the communication of households.

Puerto Rico’s Water Supply: An Investigation of the Levels of Trihalomethanes and Other Contaminants

The US Commonwealth of Puerto Rico is comprised of 143 islands, atolls, cays, and islets. Of the 143 localities, only 3 islands are inhabited: The mainland (often referenced as Puerto Rico), Culebra, and Vieques. To properly analyze the water supply quality, the mainland will be the focal point for examining environmental and social injustices. Puerto Rico is a racially diverse but ethnically homogenous territory, with most of the commonwealth living below the poverty level. Access to clean water sources is always tenuous in Puerto Rico. Over 70 percent of the island is served by water, violating US health standards. However, the recent hurricanes made the situation even more detrimental. According to data reported between January 2015 and March 2018 by the Consumer Confidence Report (CCR), 97 percent of the population of Puerto Rico utilizes a common drinking water system with one or more recent violations of the Safe Drinking Water Act for its testing requirements for lead and copper levels. The amounts found were far higher than any US state, meaning that virtually everyone on the island gets water from systems that violated testing or reporting requirements. In this study, we have collected and analyzed the levels of trihalomethanes (THMs), haloacetic acids (HAAs), copper, lead, and total organic compounds (TOCs) in drinking water providing systems in Puerto Rico and compared them with the recommended levels of contaminants provided by the US Environmental Protection Agency (EPA) guidelines. Many of these reported contaminants can have serious and detrimental health effects after prolonged exposure to higher concentrations of the contaminants found in the drinking water sources of Puerto Rico.

Analysis and Prognostication of Residents'Per Capita Disposable Income in Hubei Province using Time Series Prediction Methods

To anticipate the fluctuations in per capita disposable income among Hubei Province inhabitants for the subsequent biennium,a dataset spanning from 2005 to 2022 was culled.Employed in this study were three distinct time series prognostication methodologies:Exponential Smoothing(Holt-Winter),Autoregressive Moving Average(ARMA),and Autoregressive Integrated Moving Average(ARIMA).These techniques were applied to envision the forthcoming trajectory of per capita disposable income for the province's residents.By computing diverse metrics to assess predictive discrepancies—like the Mean Absolute Error(MAE)and Root Mean Square Error(RMSE)—the effectiveness of the assorted models was gauged,culminating in the selection of the ARIMA model due to its superior performance.Capitalizing on this,approximations for per capita disposable income during 2023 and 2024 were extrapolated.The resultant prognoses project a sustained and noteworthy uptick in per capita disposable income for urban denizens of Hubei Province in the forthcoming biennial span.Ultimately,the findings were translated into actionable policy suggestions and deductions,rendering them highly pertinent for the dissection of Hubei Province's economic evolution.

山东省耕地利用净碳汇变化与耕地利用效益关系研究

本文以粮食主产区山东省为例,运用净碳汇核算模型和库兹涅茨曲线等方法,测算2001―2020年山东省16个地级市耕地利用净碳汇,阐明耕地利用净碳汇时空变化与耕地经济效益及其社会效益的关系。结果表明:①2001―2020年山东省耕地发挥巨大碳汇作用,净碳汇总量呈波动上升态势。2020年,山东省耕地利用净碳汇量增幅达33.052%,已超过全国总量的1/9。②山东省耕地利用净碳汇具有明显的空间非均衡性特征,呈现西南高–东北低的空间格局。仅2020年,净碳汇高值区是低值区的13.743倍。③山东省16个地级市耕地利用净碳汇与单位面积耕地产值之间存在上升–下降–再上升的“N”型库兹涅茨曲线关系。④山东省各地级市耕地利用净碳汇与农村居民人均可支配收入之间呈现显著的倒“U”型库兹涅茨曲线关系。耕地利用净碳汇的时空变化与耕地利用经济效益、耕地利用社会效益之间有显著的响应关系。