The Factor Decomposition on Carbon Emission of China——Based on LMDI Decomposition Technology

Carbon emission is the current hot issue of global concern. How to assess various contributing factors for carbon emission is of great importance to find out the key factors and promote carbon emission reduction. In this paper, the author constructs an identical equation for carbon emission, based on the economic aggregate, the economic structure, the efficiency of energy utilization, the structure of energy consumption, and the coefficient of carbon emission; by applying to LMDI decomposition technology, the author analyzes the carbon emission of China from 1995 to 2007 at industrial level and regional level. The results show that the expansion of economic aggregate is the main reason for China’ s rapidly increasing carbon emission and the increase of energy utilization efficiency is the key factor that can hold back the increase of carbon emission. In addition, the change of industrial structure or regional structure and the change of traditional energy structure have limited influence on the carbon emission, and their potentials have not yet been exploited. At the end of this paper, the author proposes the efforts that China should make to reduce carbon emission.     

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…     

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.     

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 Car- bon Adjustments, impose emission reduction pressure on develop- ing countries. Once ...     

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.     

Research on Tourism Competitiveness of Chinese Island Counties： Based on Factor and Cluster Analysis

From the perspective of tourism competitiveness, the paper takes 12 island counties of China as the research object, and applies the method of factor analysis to study their com- petitiveness. The resu...     

An Empirical Study on the Environmental Kuznets Curve for China＇s Carbon Emissions： Based on Provincial Panel Data

Based on the Environmental Kuznets Curve theory, the authors choose provincial panel data of China in 1990-2007 and adopt panel trait root and co-integration testing method to study whether there is Environmental Kuznets Curve for China＇s carbon emissions. The research results show that： carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve, but that of the western region does not. On this basis, the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions, and describe a specific time path.     

An Empirical Study on the Environmental Kuznets Curve for China’s Carbon Emissions: Based on Provincial Panel Data

Abstract

Based on the Environmental Kuznets Curve theory, the authors choose provincial panel data of China in 1990–2007 and adopt panel unit root and co-integration testing method to study whether there is Environmental Kuznets Curve for China’s carbon emissions. The research results show that: carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve, but that of the western region does not. On this basis, the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions, and describe a specific time path.     

An Empirical Study on the Environmental Kuznets Curve for China’s Carbon Emissions:Based on Provincial Panel Data

Based on the Environmental Kuznets Curve theory,the authors choose provincial panel data of China in 1990 2007 and adopt panel unit root and co-integration testing method to study whether there is Environmental Kuznets Curve for China’s carbon emissions.The research results show that:carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve,but that of the western region does not.On this basis,the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions,and describe a specific time path.     

The First Session of Asia Carbon Fair was held in Beijing,promoting development of China CDM

From October 26 to October 27, 2006, the first session of Asia Carbon Fair, organized by the Ministry of Science and Technology of the People's Republic of China, National Development and Reform Commission, China Ministry of Finance, and jointly supported by World Bank, International Emissions Trading Association, Cologne International Exhibition Company, Administrative Center for the China's Agenda 21, Asia Development Bank, Japan Bank for International Cooperation and the Italy Ministry for the Environment, Land and Sea, was held in Beijing.     

China＇s Land Carrying Capacity Based on Man-grain Relationships

With population growth and increasing pressure on land resources, land carrying capacity （LCC） and food safety have been attracting great attention worldwide. From the point of man-grain relationship and by establishing LCC and land carrying capacity index （LCCI） models, this article firstly analyzes the spatial-temporal dynamics of LCC of China from 1949 to 2005 at county, provincial and national levels. Choosing 2005 as a representative year, this article then evaluates the LCC of 264 pastoral regions （semipastoral regions）, 663 urban regions and 592 poverty stricken regions of the country. The results show that： （1） from 1949 to 2005, with the increase of grain production, the LCC of China has been improved conspicuously, but due to the rapid population growth, the production can only maintain a low level grain consumption; （2） over the past 25 years （1980-2005）, the number of population overloading provinces decreased from 23 to 15 and the mangrain relationship has been improved gradually, but there were more overloading provinces than surplus provinces in China; （3） at county level, there were 1572 overloading counties in 1980 accounting for 68.26% of the total counties of the country and where were 649 million people lived, while in 1990, 2000 and 2005, the number of overloading counties were 1066, 1133 and 1087 respectively, which shows that the man-grain relationship has been improved obviously during the past 25 years; as for spatial distribution, the surplus counties were mainly concentrated in agriculture developed regions, such as Northeast Plain, North China Plain, middle and lower Reaches of the Yangtze River Plain, and overloading counties were mainly located in regions with poor natural environment and low grain production capacity, such as Northwest China, Tibetan Plateau and Loess Plateau and economically developed urban regions, such as Beijing, Tianjin and Shanghai; （4） animal husbandry improved greatly the LCC of pastoral and semi-pastoral regions, while urban regions were overloading for increasing population pressure and more than half of poverty stricken regions were overloading due to critical natural environment and poor economic conditions.     

A Study on The Management of Municipal Residential Solid Waste in China

As the main organic pollutant in municipal living waste , kitchen waste causes secondary pollution in the course of its being gathered and transported to the landfill by mixing with other refuse and by decomposition. This makes pollution prevention more difficult and raises the cost of landfill engineering. However, the amount of solid waste to be treated can be decreased and such pollution burden lessened by disposing of the solid waste in local municipal areas. The program in Beijing also shows that this works well with our situation in China and can accelerate marketization and public participation.     

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.     

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.     

Comprehensive Appraisal of Provincial Low Carbon Development： A Case Study of China

In this research,the Factor Analysis model of measuring provincial low carbon development in China has been constructed.Based on data from 30 provinces,an empirical study was developed to measure comprehensive low carbon development using the Factor Analysis model(Principal Components method and Normalized Varimax Rotation).The results reveal that the provincial marks of low carbon development are generally low and only nine provinces have high marks(more than 0.80).The results also show significant regional disparity.The provincial marks of the eastern region are higher than both the middle and western provinces of mainland China.All of the provinces with high marks(more than 0.90) are located in the eastern region,and those with the lowest marks(0.60) are located in the middle region.Furthermore,regional disparity in low carbon development follows the same pattern as economic development in China.Finally,some suggestions for decision-makers are presented.     

Decomposition Analysis of Sectoral Energy Use in Beijing （1981-2005） Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005. Sectoral energy use was investigated when regional economic structure changed significantly. The changes of total primary energy consumption in Beijing are decomposed into production effects, structural effects and intensity effects using the additive version of the logarithmic mean Divisia index （LMDI） method. Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect followed by the intensity effect, and the structural effect was relatively insignificant. The total and production effects were all positive. In contrast, the structural effect and intensity effect were all negative. Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption （TPEC） was to reduce the production of the energy-intensive industrial sectors and improving industrial energy intensity. The results show that in this period, Beijing＇s economy has undergone a transformation from an industrial to a service economy. However, the structures of sectoral energy use have not been changed yet, and energy demand should be increasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak. As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered： agriculture, industry and service. However, further decomposition into secondary and tertiary sectors is definitely needed for detailed investigations.     

The Impact of Changes of Property Rights on Farmland Use： An Empirical Study of China during Transition

In China, farmland property rights characterized by the household-responsibility system （HRS） have been improved since the reform and opening-up. The rights of use, transfer and gain become more stable, authorized and complete. This paper firstly analyzes the impact on farmland productivity, which comes from the improvement of farmland property rights. Then, an economet-ric model is built to test the above analysis. It concludes that changes of property rights will affect farmland performance in China. In the end, some policy implications are explored for fur-ther reforms.     

Research on Jiuquan-Jiayuguan-Yumen Region''''s Dynamic Changing of Urbanization Based on Self-Organizing Model

1 INTRODUCTION Jiuquan-Jiayuguan-Yumen is the densest urban distribution area and its economic development is the best in Hexicorridor (Figure 1). The main industry of Jiuquan is the trade and processing of agricultural and sideline products[1]; as an important city in the Silk-Road, Jiayuguan depends on the smelting industry and tourism; and Yumen becomes the new petrochemical city basing on the current resources[2]. The distance between the three cities is not far from each other; es…     

The Fuzzy Synthesizing Evaluation of City''''s Environmental Quality Based on GIOWA Operator:A Case of 13 Cities of Jiangsu Province

1 INTRODUCTION In China, cities have been undergoing a rapid development in recent years. On the one hand, the level of urbanization rises continuously and a large population gathers in a city. The number and the scale of city increase and enlarge continuously. On the other hand, large population gathering in a city brings a huge pressure to the ecological environment of the city. The environmental pollution of the city is becoming more serious. This is a terrible and heavy cost for city…