China Population, Resources and Environment最新文献_第3页

Study on the Dynamic Relationship Between Economic Growth and China Energy Based on Cointegration Analysis and Impulse Response Function 基于协整分析和脉冲响应函数的经济增长与中国能源动态关系研究

China Population, Resources and Environment Pub Date : 2008-08-01 DOI: 10.1016/S1872-583X(09)60013-9

Wang Yu, Guo Ju'e, Xi Youmin

{"title":"Study on the Dynamic Relationship Between Economic Growth and China Energy Based on Cointegration Analysis and Impulse Response Function","authors":"Wang Yu, Guo Ju'e, Xi Youmin","doi":"10.1016/S1872-583X(09)60013-9","DOIUrl":"https://doi.org/10.1016/S1872-583X(09)60013-9","url":null,"abstract":"<div><p>In recent years, China's economy has been growing rapidly and caused a dramatic increase to energy demand. To investigate the dynamic relationship between economic growth and China energy, a cointegration analysis and an error-correction model are used in this study to examine the long-term equilibrium relationship between gross domestic product (GDP) and energy production (EP) and energy consumption over the period 1980 to 2005. The results indicate that the two variables are cointegrated, but specifically, the growth of GDP forcefully drives energy to increase while energy has a little effect on GDP. Furthermore, the impulse response function is used to trace the dynamic response paths of shocks to the system. As a result of recent energy-saving policy, EP and consumption present a sinusoidal growth with a lag length of 2-3 years. The policy implication of this finding is that through the measures of controlling economic growing speed and conducting energy-saving policy continuously, the target of reducing energy intensity for 20% is not difficult to achieve.</p></div>","PeriodicalId":100240,"journal":{"name":"China Population, Resources and Environment","volume":"18 4","pages":"Pages 56-61"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1872-583X(09)60013-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91763600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

China's Present Situation of Coal Consumption and Future Coal Demand Forecast 中国煤炭消费现状及未来煤炭需求预测

China Population, Resources and Environment Pub Date : 2008-07-01 DOI: 10.1016/S1872-583X(09)60009-7

Wang Yan, Li Jingwen

{"title":"China's Present Situation of Coal Consumption and Future Coal Demand Forecast","authors":"Wang Yan, Li Jingwen","doi":"10.1016/S1872-583X(09)60009-7","DOIUrl":"10.1016/S1872-583X(09)60009-7","url":null,"abstract":"<div><p>This article analyzes China's coal consumption changes since 1991 and proportion change of coal consumption to total energy consumption. It is argued that power, iron and steel, construction material, and chemical industries are the four major coal consumption industries, which account for 85% of total coal consumption in 2005. Considering energy consumption composition characteristics of these four industries, major coal demand determinants, potentials of future energy efficiency improvement, and structural changes, etc., this article makes a forecast of 2010s and 2020s domestic coal demand in these four industries. In addition, considering such relevant factors as our country's future economic growth rate and energy saving target, it forecasts future energy demands, using per unit GDP energy consumption method and energy elasticity coefficient method as well. Then it uses other institution's results about future primary energy demand, excluding primary coal demand, for reference, and forecasts coal demands in 2010 and 2020 indirectly. After results comparison between these two methods, it is believed that coal demands in 2010 might be 2620–2850 million tons and in 2020 might be 3090–3490 million tons, in which, coal used in power generation is still the driven force of coal demand growth.</p></div>","PeriodicalId":100240,"journal":{"name":"China Population, Resources and Environment","volume":"18 3","pages":"Pages 152-155"},"PeriodicalIF":0.0,"publicationDate":"2008-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1872-583X(09)60009-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77609566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Economic Analysis of CO2 Emission Trends in China 中国二氧化碳排放趋势的经济分析

China Population, Resources and Environment Pub Date : 2008-07-01 DOI: 10.1016/S1872-583X(09)60005-X

Feng Xiangzhao , Zou Ji

{"title":"Economic Analysis of CO2 Emission Trends in China","authors":"Feng Xiangzhao , Zou Ji","doi":"10.1016/S1872-583X(09)60005-X","DOIUrl":"10.1016/S1872-583X(09)60005-X","url":null,"abstract":"<div><p>Climate change is one of hot spots all around the world. China, the second biggest CO<sub>2</sub> emitter, is facing increasingly severe pressure to reduce CO<sub>2</sub> emission. The article first describes Kaya Identity and its policy implications. Second, it uses the modified Kaya Identity and makes decomposition without residues on CO<sub>2</sub> emission during the period 1971–2005. Taking into account the changes of macroeconomic background, it conducts a detailed analysis in terms of CO<sub>2</sub> emission trend from 4<sup>th</sup> Five Year Plan through 10<sup>th</sup> Five Year Plan. The decomposition results indicate that economic development and increase in population are major driving forces, and that improvement in energy efficiency contributes to the reduction of CO<sub>2</sub> emission, and that decarbonization in primary energy structure is also an important strategic choice. Finally, the article stresses that in CO<sub>2</sub> order to realize the binding target of 20% reduction in GDP energy intensity during the 11<sup>th</sup> Five Year Plan, China should speed up the readjustment of the industrial structure and energetically develop the energy-efficient technologies and clean fuel technology, which will effectively promote the country to reduce CO<sub>2</sub> emission and contribute to the mitigation of climate change.</p></div>","PeriodicalId":100240,"journal":{"name":"China Population, Resources and Environment","volume":"18 3","pages":"Pages 43-47"},"PeriodicalIF":0.0,"publicationDate":"2008-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1872-583X(09)60005-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91476226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

Characteristics of Carbon Emission in China and Analysis on Its Cause 中国碳排放特征及其成因分析

China Population, Resources and Environment Pub Date : 2008-07-01 DOI: 10.1016/S1872-583X(09)60006-1

Hu Chuzhi, Huang Xianjin

{"title":"Characteristics of Carbon Emission in China and Analysis on Its Cause","authors":"Hu Chuzhi, Huang Xianjin","doi":"10.1016/S1872-583X(09)60006-1","DOIUrl":"10.1016/S1872-583X(09)60006-1","url":null,"abstract":"<div><p>From the history of human economic development, it is known that there is a close relationship between economic development and environment quality. Thus, in this study a factor decomposition model of carbon emission in China is built and the contributions that economic scale, industrial structure, and carbon emission intensity make to carbon emission quantitatively from 1990 to 2005 are analyzed, in other words—scale effect, structural effect, and technical effect—using the decomposition method of average distribution cushion which is based on the environmental Kuznets curves model is studied. The result suggests that the average of the effect changes of carbon emission in China is 19.55%, the effects brought by economic scale, industrial structure, and carbon emission intensity are 15.76%, −0.86%, and 4.65%, respectively. In general, the relation between carbon emission and China's economy was more like an “N” curve; Economy scale is a primary drive factor and has incremental effect to carbon emission. Since otherness of different industry is getting bigger, the industrial restructure has certain decremental effect to carbon emission, but the restrictive function is not obvious, the industrial structure still need to be further optimized; the technical effect is positive and its volatility is large. From the perspective of reducing carbon emission, the current technology has not played to its advantages. This study will promote the understanding of the theory about the relationship between carbon emission and economy development and provide reference value by all means to the adjustment of industrial development.</p></div>","PeriodicalId":100240,"journal":{"name":"China Population, Resources and Environment","volume":"18 3","pages":"Pages 38-42"},"PeriodicalIF":0.0,"publicationDate":"2008-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1872-583X(09)60006-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83560766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 73

Influencing Factors of the Levels of Intensive Use of Typical Industrial Land 典型工业用地集约利用水平的影响因素

China Population, Resources and Environment Pub Date : 2008-07-01 DOI: 10.1016/S1872-583X(09)60007-3

Tan Dan, Huang Xianjin

引用次数: 14

Cognition Research on Global Climate Change 全球气候变化认知研究

China Population, Resources and Environment Pub Date : 2008-07-01 DOI: 10.1016/S1872-583X(09)60008-5

Wang Jingmin, Wei Dong

引用次数: 3

Establishing Eco-compensation Mechanism in Bohai Sea Waters under Framework of Ecosystem Approach 生态系统方法框架下渤海海域生态补偿机制的构建

China Population, Resources and Environment Pub Date : 2008-05-01 DOI: 10.1016/S1872-583X(09)60002-4

Qiu Jun , Liu Rongzi , Zhao Jingzhu , Deng Hongbing

{"title":"Establishing Eco-compensation Mechanism in Bohai Sea Waters under Framework of Ecosystem Approach","authors":"Qiu Jun , Liu Rongzi , Zhao Jingzhu , Deng Hongbing","doi":"10.1016/S1872-583X(09)60002-4","DOIUrl":"10.1016/S1872-583X(09)60002-4","url":null,"abstract":"<div><p>Ecosystem approach, a new comprehensive approach to the conservation and management of natural resources, has received universal concern and approval in the world, and it requires the application of the eco-compensation mechanism. Some basic ideas for establishing the marine eco-compensation mechanism are: payers and payees can be identified through analyzing marine ecosystem service changes and impacts on the stakeholders; financial transfer payment and environmental taxes and fees can be used as the main channels for compensation; payment standard can be set up by following the principle of a compromise between calculated theoretic results and “price bargaining”. Focusing on the key human impact on marine ecosystem in Bohai Sea, some preliminary ides on eco-compensation application are given: reform the ongoing charge system of pollutant discharge and enhance its incentives to reduce land pollutants; implement eco-compensation for freshwater demand between Bohai Sea and the river basins for the purpose of increasing freshwater inflow; popularize and strengthen the existing eco-compensation on fishery resources management, and implement the charge system of eco-compensation on reclamation from the sea for land construction.</p></div>","PeriodicalId":100240,"journal":{"name":"China Population, Resources and Environment","volume":"18 2","pages":"Pages 60-64"},"PeriodicalIF":0.0,"publicationDate":"2008-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1872-583X(09)60002-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82581776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Industrial Cluster Upgradation of Regenerated Resources in Miluo City 米罗市再生资源产业集群升级研究

China Population, Resources and Environment Pub Date : 2008-05-01 DOI: 10.1016/S1872-583X(09)60003-6

Wang Liangjian, He Qiongfeng, Wen Hu

引用次数: 3

Coordination Degree of Urban Population, Economy, Space, and Environment in Shenyang Since 1990 1990年以来沈阳城市人口、经济、空间与环境协调度研究

China Population, Resources and Environment Pub Date : 2008-05-01 DOI: 10.1016/S1872-583X(09)60004-8

Zhang Pingyu , Su Fei , Li He , Sang Qiu

{"title":"Coordination Degree of Urban Population, Economy, Space, and Environment in Shenyang Since 1990","authors":"Zhang Pingyu , Su Fei , Li He , Sang Qiu","doi":"10.1016/S1872-583X(09)60004-8","DOIUrl":"10.1016/S1872-583X(09)60004-8","url":null,"abstract":"<div><p>In the background of China's rapid urbanization, the conflicts between urban population, economy, space, and environment are intensified and complicated. This article aims to establish a coordinate assessment method for studying urban population, economy, space, and environment interactions in city scale by principal component analysis and regression analysis. On the basis of the case study on Shenyang city, the results indicated that the integrated development of urban population, economic, and space was in a poor situation from 1993 to 1999, whereas it turned better after 2000, and the urban environment improved steadily after 1998. The static coordination degree of urban integrated development and environment showed obvious periodical and fluctuant characteristics. Compared with the static coordination degree, the dynamic coordination degree appeared to be smooth and lag. The static coordination degree was elementary discoordinative in 1993, 1994, and 1999; whereas it turned to be elementary coordinative between 1995 and 2005. The dynamic coordination degree was elementary discoordinative from 1993 to 1996, whereas it became elementary coordinative overall after 1997.</p></div>","PeriodicalId":100240,"journal":{"name":"China Population, Resources and Environment","volume":"18 2","pages":"Pages 115-119"},"PeriodicalIF":0.0,"publicationDate":"2008-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1872-583X(09)60004-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84633568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

Application of Transferable Development Rights in Cultivated Land Protection in China 发展权流转在中国耕地保护中的应用

China Population, Resources and Environment Pub Date : 2008-05-01 DOI: 10.1016/S1872-583X(09)60001-2

Feng Ke , Cao Shunai , Wei Shichuan , Lu Zhangwei

引用次数: 15