Impacts of Suburbanization on Urban Eco-environment of Xi’an in China

Suburbanization in large cities is an important phenomenon in the process of urbanization development in China in recent decades,which plays a very important role in promoting city development,whereas some side effects on the eco-environment appeared at the same time.This paper,taking Xi’an City in China as a case study site,analyzed the features of population suburbanization and industry suburbanization and pointed out the impacts of suburbanization on urban eco-environment.Based on the research,suggestions of countermeasures for urban planning and municipal management of Xi’an City in protecting urban eco-environment and conserving natural ecology were put forward in the end.     

Impact of Climate Change on Urban Agglomerations in China’s Coastal Region

Climate change and urbanization issues are the two key factors that make humans liable to be affected by disasters, which are overlapped in urban agglomeration. The five big urban agglomerations of China with strong economic power are the important engines for national economic and social development. However, being in the sea-land mutual interaction belts with a vast hazard-bearing body, they are affected by sea-land compound disasters, and are liable to suffer heavy disaster losses with climate change. It is suggested that government departments concerned should fully recognize the impact of climate change on coastal urban agglomerations, propose strategies as soon as possible, and integrate the impact of climate change and adaptation countermeasures into the various kinds of social-economic development plans for coastal urban regions.     

Impacts of Social and Demographic Factors on Residents’ Subjective Well-being in Rural China

Abstract

The objective of social development is to construct a harmonious society. In China, the key to a harmonious society is the happiness of more than 900 million farmers living in the rural areas. This study aimed to measure rural residents’ subjective well-being (SWB) through the day reconstruction method, as well as to analyze SWB’s influencing factors through a variety of statistical methods. The results showed that the average U index was 12.79%, indicating that respondents were unhappy 12.79% of the time. Twenty-seven percent of the population had a U index greater than 0, with the average value being 47%, indicating that these people were unhappy 47% of the time. The study also found that SWB varied according to the characteristics of the respondents. Logistic regression analysis showed that social and demographic factors, including age, education, county, household size, generation number, per capita income, migration status and social networking, which significantly affected rural residents’ SWB. The size of the impact varied with the different factors.     

Humble Opinions on the Relationship between the Percentage of Urban Residents in an Urban Region and the Economic Status in This Region in China

It is a fact that in U.S. the immigration between rural areas and city areas is free, but in China this type of immigration is restricted by HUKOU system （Hukou, namely the household registration system, was designed to control rural-urban in China）. All of those national policies in city areas are much better than those in rural areas, so those corresponding differences bring about great discrepancy of the economic status （mainly including GDP per person and income per resident） between rural and city areas in the same urban region, especially in different urban re- gions because the percentage of urban residents in those urban regions is in-equable. The present paper mainly researches the topic of relationship between the percentage of urban residents and the economic status in an urban region in China, including the relationship between the economic and the political functions of a settlement in China during the process of urbanization.     

Impact of Climate Change on Urban Agglomerations in China＇s Coastal Region

Climate change and urbanization issues are the two key factors that make humans liable to be affected by disasters, which are overlapped in urban agglomeration. The five big urban agglom- erations of C...     

Impacts of Social and Demographic Factors on Residents＇ Subjective Well-being in Rural China

The objective of social development is to construct a harmonious society.In China,the key to a harmonious society is the happiness of more than 900 million farmers living in the rural areas.This study aimed to measure rural residents' subjective well-being(SWB) through the day reconstruction method,as well as to analyze SWB's influencing factors through a variety of statistical methods.The results showed that the average U index was 12.79%,indicating that respondents were unhappy 12.79% of the time.Twenty-seven percent of the population had a U index greater than 0,with the average value being 47%,indicating that these people were unhappy 47% of the time.The study also found that SWB varied according to the characteristics of the respondents.Logistic regression analysis showed that social and demographic factors,including age,education,county,household size,generation number,per capita income,migration status and social networking,which significantly affected rural residents' SWB.The size of the impact varied with the different factors.     

The Empirical Analysis of the Impacts of Income Distribution Gap on Consumption Demand： Based on the Statistic Data of Chinese Urban Residents in 2000-2010

This paper analyzes the impact of income distribution gap on consumption demand from a theoretical view, and draws the conclusion that there is an inverse relationship between income distribution gap a...     

The Empirical Analysis of the Impacts of Income Distribution Gap on Consumption Demand: Based on the Statistic Data of Chinese Urban Residents in 2000–2010

Abstract

This paper analyzes the impact of income distribution gap on consumption demand from a theoretical view, and draws the conclusion that there is an inverse relationship between income distribution gap and consumption demand. Then, the paper finds that the existing widening income distribution gap in China has a negative impact on consumption demand, but this is not the key factor for the insufficient consumption demand because of the low level of per capital income. At last, it suggests that governments should improve the income level of entire residents and adjust income distribution structure simultaneously.     

Industrialization, Environment and Health： the Impacts of Industrial SO2 Emission on Public Health in China

In this paper, we construct a model in which the impact of pollution on health is exerted through both direct and indirect channels. The indirect channel is captured by a production function in which the principal health-improving factor, income growth, can be realized only in the cost of pollution increase. This model is then tested by the aggregated chronicle disease data in over 78 Chinese counties. Our results show, after attaining the threshold of 8 μ g/m^2, continuous increase in industrial SO2 emission density will lead the ratio of population suffering chronicle diseases, among which respiratory diseases occupy a significant proportion, to rise. However, owing to technological progress in pollution control activities, the needed SO2 emission to produce one unit of GDP diminishes with time. Therefore, the negative effect from pollution augmentation on public health seems to be recompensed more and more by the positive effect of economic growth.     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

Impacts of climate change in rapidly urbanizing region – a case study in Hangzhou (China)

Climate change is expected to be a major driving force of landscape in the coming decades. It will have a multitude of potential impacts that vary in intensity and effect according to region and sector. In the context of global warming, the climate of China has changed significantly in the recent 100 years. The reason for climate change in China is mainly due to irrational land use caused by human activities, which chiefly results in the rapid industrialization and urbanization process. Based on an assessment model, this research represents a picture of the impacts of climate change in six districts of Hangzhou region. The aim of this paper is to conclude, on the one hand, some of Hangzhou sensitivities in relation to the primary effects of climate change. On the other hand, a reflection is made on a methodology to formulate preconditions on a scientific basis for further research by design of integrated adaptation options for the future spatial developments in function to upgrade Hangzhou resilience in relation to climate change challenges.     

Dynamic Evaluation on Regional Tourism Competitiveness： Urban Agglomeration of Shandong Peninsula, Eastern China

The article establishes the appraisal index system for entire urban agglomeration and its interior cities individually, concretely including five aspects： driving forces for tourism development, the level of tourism development, tourism impacts, tourism economic connection and tourism contributions of different cities to the whole urban agglomeration. As tourism competitiveness has the characteristics of comprehensiveness, systematicness and dynamicness, the article attempts to apply the structural prediction means of system dynamics to evaluating tourism competitiveness, aiming to provide some research methods and analysis ideas for tourism competitiveness measurement and trends analysis in urban agglomeration. Taking Shandong Peninsula urban agglomeration as the study area, the article simulates and analyzes the tourism competitiveness trend of the whole region and its interior cities from 2005 to 2020, and the result reflects that integrated development and regional combination of tourism are important means to upgrade tourism competitiveness in this region.     

Influences of Border Carbon Adjustments on China’s Foreign Trade

Abstract

The EU, the United States and other economies, with the intention to implement unilateral trade measures Border Carbon Adjustments, impose emission reduction pressure on developing countries. Once implemented, the measures will have great impact on China’s foreign trade. Using the input-output table in 2007, this paper had analyzed the influences on China’s foreign trade as a whole and sub-sectors in three tax rates scenarios. The results showed that the tariff level of China’s exports will increase by 3.6%–6.3% if the tax was levied on exports embodied emissions, and by 1.0%–1.7% if levied on export direct emissions. In 2007, the former total amount of carbon tax was about US$42.6–73.0 billion, 4 times that of the latter. Based on export embodied emissions, sectors largely influenced were non-traditional energy intensive ones, such as textile, et al. These sectors should be encouraged to carry out industrial upgrading, raising the value-added of export goods, and reducing their embodied emissions by reduction of energy intensity. Taking into account of the complexity of data collection, the tax levied on products direct emission is more operational. The results showed that the five top sectors most affected were other chemical materials, processing of petroleum and nuclear fuel, coking, smelting and rolling of ferrous metal and textile. Most of them were energy intensive sectors. Therefore, adjusting export products structure, and controlling too fast development of energy intensive industries are also important strategies in China.     

Influences of Border Carbon Adjustments on China’s Foreign Trade

The EU, the United States and other economies, with the intention to implement unilateral trade measures Border Carbon Adjustments, impose emission reduction pressure on developing countries. Once implemented, the measures will have great impact on China’s foreign trade. Using the input-output table in 2007, this paper had analyzed the influences on China’s foreign trade as a whole and sub-sectors in three tax rates scenarios. The results showed that the tariff level of China’s exports will increase by 3.6%-6.3% if the tax was levied on exports embodied emissions, and by 1.0%-1.7% if levied on export direct emissions. In 2007, the former total amount of carbon tax was about US$42.6-73.0 billion, 4 times that of the latter. Based on export embodied emissions, sectors largely influenced were non-traditional energy intensive ones, such as textile, et al. These sectors should be encour-aged to carry out industrial upgrading, raising the value-added of export goods, and reducing their embodied emissions by reduction of energy intensity. Taking into account of the complexity of data collection, the tax levied on products direct emission is more operational. The results showed that the five top sectors most affected were other chemical materials, processing of petroleum and nuclear fuel, coking, smelting and rolling of ferrous metal and textile. Most of them were energy intensive sectors. Therefore, adjusting export products structure, and controlling too fast development of energy intensive industries are also important strategies in China.     

Studies on Barriers for Promotion of Clean Technology in SMEs of China

1 INTRODUCTIONAccording to the definition of SMEs in the TemporaryRegulation of Small and Medium Enterprise in China(2003): SMEs are those enterprises that have either less than2000 employees or 300 million RMB/year sales revenue, or400 million RMB fixed assets. SMEs generally account for99.88% of the total number of manufacturingestablishments in China in 2002, and they contributesignificantly to the social, economic and industrialdevelopment (Su, 2003).However, the majority of t…     

Analysis and Modeling on the Spatial Structure of Urban Land Use: A Case of Jinan, China

Based on the data of urban land use obtained by remote sensing interpretation from aero images in 1986 and 2004, the spatial structure of Jinan is studied in this paper with the method of Geographic Information System (GIS). According to the proportion of land for residence, industry and commerce, the urban district can be distinguished into three rings. Compared with the traditional theory of the ring structure in Western coun- tries, they have many distinctive characteristics. The main func- tions of the inner ring include residence, business and banking, but the proportion of residential land (more than 50%) is considerably higher than that of the cities in Western countries. The land proportion for residence and industry in the intermediate ring is equal on the whole. The main land of the outside ring is for industrial use. From 1986 to 2004, great changes have taken place on the land proportion of different types of use. In the inner ring, the land for residential and industrial use has shrunk much while the land for commercial use has increased. In the intermediate ring, the changes of the three types of land use were not very much and the temporal variation was relatively stable. On the contrary, the structure in the outside ring varies acutely. Though most of it is also for industrial use, the proportion of residential land has in- creased much. The three rings can also be divided into several sectors respectively, according to the function of land use clusters. New trends and mechanisms of the changes of land use impacting the urban structure were proposed in the end of the paper.     

Study on the efficiency and regional disparity of green technology innovation in China’s industrial companies

This paper first constructed a system to evaluate the innovation efficiency of industrial companies within Mainland China. Then, a principal component analysis (PCA) was performed to these indicators for dimensionality reduction, so as to figure out the technology innovation efficiency in these two phases, respectively. Finally, the overall efficiency of industrial companies in different regions was estimated and factorized via data envelopment analysis (DEA). The results showed that: (1) the efficiency of green technology innovation of industrial companies in China was relatively low as a whole, which mainly resulted from pure technical efficiency (PTE). Further, this huge gap continues to expand in these regions. And both PTE and scale efficiency (SE) in central and western regions leave much to be expected. (2) In the first phase of green technology development, when environmental factors were concerned, the efficiency was much lower than that without environmental considerations. Besides, the central and western regions were facing increasingly severe environmental problems, and there was a wide disparity in technology development efficiency among eastern, central, and western regions. (3) In the second phase of green technology commercialization, there were still more rooms for improvement in raising the efficiency of green technology innovation, and the efficiency in eastern, central, and western regions was ranked from highest to lowest. (4) Liaoning, Hebei, Heilongjiang, Xinjiang, Shanxi, Inner Mongolia, Yunnan, and Qinghai should focus on improving their technology; Jilin, Jiangxi, Anhui, and Guangxi should make their efforts to reduce resource redundancy; whereas Ningxia and Gansu should try to solve the above two issues.     

The impact analysis of policy events on China’s carbon market

ABSTRACT

This paper interrogates the impact of policy events on the efficiency of carbon market in China. The analysis covers five piloting emission trading schemes (Beijing, Shanghai, Guangdong, Shenzhen and Hubei), particularly focusing on Guangdong pilot for its weak form efficiency and the richness of policy events. Twenty-five policy events between 2014 and 2016 are categorized into seven groups. The efficiency test indicates that only Guangdong ETS has reached weak form efficiency. After exploring the policy events occurred in Guangdong ETS, it finds that although a clear long-term climate policy has been set up over the country, China’s carbon market still has a conservative risk appetite and its governing institutions still needs further development. The policy makers need to be aware of and avoid the negative impacts of policy events to the market evolvement, by introducing effective consultancy process with the stakeholders and nurturing market expectations in the long run. We also find that events like allowance auctions have considerably less impacts than previously expected and argue that auction approach should be considered a preferable option over a free allocation system in the future policy design.     

The role of capital deepening in China’s energy transition

ABSTRACT

This paper provides a theoretical model to explain the causality between China’s energy transition and capital deepening found by the empirical study. We prove that in the equilibrium, China’s energy transition is endogenously determined by capital deepening due to the homogeneity of electricity and the monopolistic competition features of China’s electricity market. Price effect, which is the effect of change in relative factor price, will affect energy transition only if the policy intervenes electricity price in terms of the primary sources from which it is generated. We propose that investment can promote energy transition by stimulating capital deepening which is biased to clean energy development. In this regard, our paper provides a new way of thinking for other developing countries to design an effective energy transition policy.