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.

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.

Per Capita Monthly Income of Urban and Rural Residents

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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.

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.

Radioactive Contaminants in U.S. Drinking Water and Water Quality Disparities

Radioactive contaminants, such as radium, radon, and uranium isotopes are naturally present in drinking water, and gas and oil extraction like hydraulic fracturing can exasperate radionuclide leakage into groundwater. The concentration of radionuclide in drinking water is dependent upon the water source and the underlying lithology within the aquifers. In United States, the Environmental Protection Agency regulates the level of radioactivity in drinking water via the gross alpha test, which is conducted to measure the emitted alpha particles as a result of the radioactive elements’ natural decay. Radionuclides, such as radium and uranium, are known to cause bone cancer and other forms of cancer. Communities with crippling water purification infrastructure may be at a higher risk of being exposed to radionuclides, and this is a significant environmental justice concern. The radionuclide concentrations for the metropolitan or most populated city in each state in the United States and its territories (Puerto Rico, US Virgin Islands and Guam) were analyzed and correlated to the annual household income, to determine any disparities that maybe present. Lower income communities had elevated levels of radionuclides when compared to higher income communities which had lower frequency in elevated radionuclide contaminants.

Total Trihalomethane Levels in Major Watersheds across the United States

Trihalomethanes, such as chloroform, bromoform, dibromo(chloro)methane, and bromo(dichloro)methane, are present in the major watersheds across the United States. These chemicals play an important role in the development of cancer, have adverse reproductive outcomes, and were found to be present above the threshold established by the Environmental Protection Agency. To understand the impact of socioeconomic background on the quality of water and possible disparities, we have analyzed the levels of total trihalomethanes in the metropolitan areas in the major watersheds across the United States, in 2018, as they correlated to average household incomes. Our study found that Arkansas, Nevada, and Rhode Island demonstrated higher than federally mandated levels of total trihalomethanes in their watersheds. The median annual household and per capita incomes of the three states (Arkansas, Nevada, and Rhode Island) were lower than the national average. In addition, Delaware, New Hampshire, and Wisconsin, which had higher median income levels, demonstrated the lowest total trihalomethane levels across the United States.

Diversifying Clean Water: An Examination of Drinking Water Quality and Social Disparities in Michigan

Water is one of the most essential resources required to sustain life. However, it could be detrimental to the health of those without access to water that is properly treated. Although the Safe Drinking Water Act of 1974 set regulations to protect citizens from naturally occurring and man-made contaminants, some people are still without clean and safe water, which is speculated to be because of their race. This research examines the disproportionality of available clean water provided by government sources in Michigan and its correlation with race and household income. In the study, it has been found that one of the leading causes of water contamination is industrial activity, with the automobile industry being responsible for approximately 300 million tons of lead contamination in water, and that the manufacturing company’s locations mostly centered in minority and low-income areas. Lower income cities, such as Hamtramck and Benton Harbor, have an average of 14.8 drinking water standard violations with the highest being 99 total violations, while higher income cities, like Novi and Bloomfield hills, have an average of 4 violations. Cities, like Flint and Detroit, which have a higher minority population, are 10 times more likely to have a water standard violation, and the minority population is proportionally related to the possibility of industrial manufacturing being located in those areas. These communities also face a higher risk of birth defects, developmental issues in children, and organ failure in adults, due to continuous exposure to water contaminants. Race as a direct causation could not be proven, but there are links to direct correlation through historical redlining and housing trends.

China’s Cross-Border E-Commerce: Evolution Pattern and Influencing Factors

In recent years,while the traditional trade sectors have been shrinking,China’s cross-border e-commerce has undergone rapid development and has become a new driver of its international trade.Based on analysis of the evolution pattern of China’s cross-border e-commerce,this paper uses a revised gravity model to test empirically the driving factors and the resistance factors in the development of the country’s cross-border e-commerce.The results show that the total GDP,per capita disposable income of urban residents,total imports and exports,and the scale of the online shopping market have a positive relationship with cross-border e-commerce transactions,which are conducive to the development of cross-border e-commerce,while logistics costs inhibit the development of cross-border e-commerce.Accordingly,the paper puts forward several policy recommendations.

Demographic Structure and the Real Exchange Rate:A Study Based on Cross-Country Data

By creating a two-sector intertemporal and intergenerational small open economy model,this paper investigates how real exchange rate responds to demographic shifts in the long term.The result shows that when the capital density of tradable goods sector exceeds that of non-tradable goods sector in a country,an increase in the country's elderly dependency rate(ODR) will cause its real exchange rate to appreciate.In addition,higher savings rate or per capita labor income means that real exchange rate is more responsive to ODR variations.We conducted an econometric test on our theoretical hypotheses using the data of 214 countries and regions during 1980-2013.Empirical result indicates that an increase of ODR will cause real exchange rate to appreciate.This result is robust and unaffected by sample grouping characteristics and differences.An increase in savings rate will significantly increase the ODR elasticity of real exchange rate.This conclusion is also significant and robust for overall samples and categorized samples(except for developed countries) and generally consistent with our theoretical hypothesis.However,our empirical research generally does not support the hypothesis that higher labor income increases the responsiveness of real exchange rate to ODR.This study is of great significance to unravel the effect of China's ageing population on the longterm variations of renminbi's exchange rate.