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Intensity Allocation Criteria of Carbon Emissions Permits and Regional Economic Development in China——Based on a 30-Province/Autonomous Region Computable General Equilibrium Model 被引量:4
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作者 YUAN Yong-Na SHI Min-Jun +1 位作者 LI Na ZHOU Sheng-Lu 《Advances in Climate Change Research》 SCIE 2012年第3期154-162,共9页
The intensity allocation criteria of carbon emissions permits and its influence on China's regional development are analyzed through the 30-province/autonomous region computable general equilibrium (CGE) model. Sim... The intensity allocation criteria of carbon emissions permits and its influence on China's regional development are analyzed through the 30-province/autonomous region computable general equilibrium (CGE) model. Simulation results show that: industrial intensity criteria without taking regional economic development into account deepen the unbalance of regional economic development; regional intensity criteria without taking industrial properties into account exert little negative impact on regional harmonious development, but relatively high negative influence on high-carbon emission industries. The two-step allocation scheme that the central government allocates emissions permits to provincial governments based on regional economic development and then provincial governments allocate emissions permits to emission resources or entities based on industrial properties is a feasible and operable choice. 展开更多
关键词 carbon emissions permits intensity allocation criteria regional balanced development computable general equilibrium model
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Impact of Greenization on the Marginal Utility of Intensity of Carbon Emissions and Factors Affecting it in China
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作者 Yu Liu Ruiting Jiao +1 位作者 Liyao Zhao Kai Liu 《Energy Engineering》 EI 2021年第2期363-378,共16页
The impact of greenization on the marginal utility of the intensity of carbon emissions in China and factors influ-encing this relationship are explored in this study.China’s level of greenization is evaluated by usi... The impact of greenization on the marginal utility of the intensity of carbon emissions in China and factors influ-encing this relationship are explored in this study.China’s level of greenization is evaluated by using an index system developed based on the comprehensive index method.The intensity of carbon emissions is determined by using the standards for the coefficients of conversion of coal equivalent and coefficients of carbon emission.The impact of greenization on the marginal utility of the intensity of carbon emissions is then evaluated by using an elastic formula and factors affecting this relationship are verified by regression analysis.The results are as fol-lows:(1)China’s level of greenization has exhibited a trend of constant increase.The intensity of carbon emissions has followed a continual downward trend while the impact of greenization on the marginal utility of the intensity of these emissions has been declining.(2)Urbanization as well as scientific and technological developments have slowed the reduction in the marginal utility of the intensity of carbon emissions,whereas the structure of energy consumption has expedited it under the diminishing impact of greenization.The standard of living of the popu-lation,intensity of environmental regulation,and environmental quality have had different influences under dif-ferent conditions. 展开更多
关键词 Greenization carbon emission intensity marginal utility influential factor
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Inter-provincial carbon emission intensity factor analysis and carbon intensity projection calculation in China
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作者 FAN Xiao-cao ZHANG Lin 《Ecological Economy》 2022年第4期242-260,共19页
The extended “STIRPAT” model and the GM(1,1) model are used to predict the factors influencing inter-provincial carbon emission intensity and carbon intensity in China respectively. In this paper, based on the colla... The extended “STIRPAT” model and the GM(1,1) model are used to predict the factors influencing inter-provincial carbon emission intensity and carbon intensity in China respectively. In this paper, based on the collation of inter-provincial carbon emission data, the extended “STIRPAT” model is formulated for carbon dioxide emissions and carbon intensity emissions, and the Hausman test is used to determine the influence form of the models. The main influencing factors of carbon intensity were identified: economic development level, energy intensity, and energy consumption structure. The paper constructs GM(1,1) model for carbon emission intensity from 2010-2019 using the gray prediction method,and calculates the carbon emission intensity of China’s inter-provincial 2022 by residual test, correlation test, variance, and small error probability test, and then predicts the carbon demand of each province and city in 2022 according to the expected average annual growth rate, and finally concludes that using carbon emission intensity as the carbon emission reduction target of each region, and it cannot fundamentally solve the problem of carbon pollution in China. Compared to the regional carbon emission reduction target, there is a greater degree of regional imbalance in carbon intensity between provinces in China, and the target of reducing carbon emission intensity somehow avoids the fact that the carbon emission reduction intensity target can be achieved without reducing the absolute amount of carbon emissions that continue to increase. The focus of achieving the “double carbon” target lies in the reduction of total carbon emissions, and the target of reducing carbon intensity will eventually be transformed into a binding target of total carbon emissions in the process of implementation, so attention should be shifted from recessiontype carbon reduction and efficiency-type carbon reduction to innovative carbon reduction. It is necessary to increase investment in renewable energy, and gradually expand the scope of application of photovoltaic, and wind power to ensure the reduction of total carbon emissions. 展开更多
关键词 carbon emission intensity STIRPAT grey projection method(GM)model carbon emission reduction
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The Impact of Industrial Agglomeration on Carbon Emission Intensity:Evidence from China
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作者 Zhiying Ji Xueqing Yang 《经济管理学刊(中英文版)》 2018年第1期47-58,共12页
The paper measures the total carbon emissions and carbon emission intensity of different Chinese provinces between 2000 and 2012,then analyses the spatial features and dynamic evolution of carbon emission intensity th... The paper measures the total carbon emissions and carbon emission intensity of different Chinese provinces between 2000 and 2012,then analyses the spatial features and dynamic evolution of carbon emission intensity through exploratory spatial data analysis,to explore its clustering characteristics of spatial and temporal distribution and dynamic evolution.The effect of industrial agglomeration on the carbon emission intensity in China is estimated by using spatial econometric model.According to the research,three new findings are revealed as follows:firstly,inter-provincial carbon emission intensity in middle-west and northeast areas is much higher than southeast areas in China.Secondly,the spatial domain dependence and difference of China's inter-provincial carbon intensity exist simultaneously.Thirdly,the elastic coefficient of carbon intensity for industrial agglomeration change is between-0.228%and-0.37%.On the basis of these conclusions,the paper will put forward several policy recommendations according to empirical study. 展开更多
关键词 carbon emission intensity Industrial AGGLOMERATION Spatial PANEL Model Integrated WEIGHT Matrix
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A hefty target of reducing the intensity of carbon dioxide emissions
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作者 Liu Chunsheng 《Electricity》 2010年第2期2-,共1页
At the end of January, China formally handed over the report on pollution reduction targets to the United Nations.
关键词 A hefty target of reducing the intensity of carbon dioxide emissions
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Industrial Carbon Emission Distribution and Regional Joint Emission Reduction:A Case Study of Cities in the Pearl River Basin,China 被引量:2
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作者 JIANG Hongtao YIN Jian +4 位作者 ZHANG Bin WEI Danqi LUO Xinyuan DING Yi XIA Ruici 《Chinese Geographical Science》 SCIE CSCD 2024年第2期210-229,共20页
China’s low-carbon development path will make significant contributions to achieving global sustainable development goals.Due to the diverse natural and economic conditions across different regions in China,there exi... China’s low-carbon development path will make significant contributions to achieving global sustainable development goals.Due to the diverse natural and economic conditions across different regions in China,there exists an imbalance in the distribution of car-bon emissions.Therefore,regional cooperation serves as an effective means to attain low-carbon development.This study examined the pattern of carbon emissions and proposed a potential joint emission reduction strategy by utilizing the industrial carbon emission intens-ity(ICEI)as a crucial factor.We utilized social network analysis and Local Indicators of Spatial Association(LISA)space-time trans-ition matrix to investigate the spatiotemporal connections and discrepancies of ICEI in the cities of the Pearl River Basin(PRB),China from 2010 to 2020.The primary drivers of the ICEI were determined through geographical detectors and multi-scale geographically weighted regression.The results were as follows:1)the overall ICEI in the Pearl River Basin is showing a downward trend,and there is a significant spatial imbalance.2)There are numerous network connections between cities regarding the ICEI,but the network structure is relatively fragile and unstable.3)Economically developed cities such as Guangzhou,Foshan,and Dongguan are in the center of the network while playing an intermediary role.4)Energy consumption,industrialization,per capita GDP,urbanization,science and techno-logy,and productivity are found to be the most influential variables in the spatial differentiation of ICEI,and their combination in-creased the explanatory power of the geographic variation of ICEI.Finally,through the analysis of differences and connections in urban carbon emissions under different economic levels and ICEI,the study suggests joint carbon reduction strategies,which are centered on carbon transfer,financial support,and technological assistance among cities. 展开更多
关键词 industrial carbon emission intensity carbon emission social network analysis Location Indicators of Spatial Association(LISA) geographical detector multi-scale geographically weighted regression Pearl River Basin(PRB) China
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Assessing China 2030 carbon emissions from fossil fuels:based on system dynamics model 被引量:3
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作者 佟贺丰 Qu Weishuang 《High Technology Letters》 EI CAS 2015年第2期178-184,共7页
The Chinese government has set ambitious targets to reduce the per unit of GDP by 40% ~45% during 2005 to 2020 and achieve the intensity peaking of carbon emissions of CO2 emissions a- round 2030. The T21 national dev... The Chinese government has set ambitious targets to reduce the per unit of GDP by 40% ~45% during 2005 to 2020 and achieve the intensity peaking of carbon emissions of CO2 emissions a- round 2030. The T21 national development model for China was developed for the purpose of analy- zing the effects of long-term national policies that relate to carbon emissions, loss of farm land, water shortage, energy security, food security, and their contributions to this reduction target. The focus of this paper is on the policies that have substantial impacts on carbon emissions from fossil fuels. Four scenarios are developed with the model to simulate future carbon emissions : 1 ) the BAU ( busi- ness as usual) scenario, showing the likely results of continuing current policies; 2 ) the TECH (technology) scenario showing the effects of more investment in renewable energy sources and promoting more energy efficient technologies; 3 ) the BEHAVIOR scenario, showing how government tax and price policies, together with public education programs, would instigate behaviour changes towards more sustainable living; and 4 ) the TECH&BEHA scenario, which shows the results of combining scenarios 2 and 3. The simulation results show that CO2 emissions reduction targets of China are achievable, but also require great effort to put in. 展开更多
关键词 system dynamics model carbon emissions GDP carbon intensity system simulation
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Spatial and temporal variation of energy carbon emissions in Yantai from 2001 to 2011 被引量:1
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作者 Qiuhong Su Qiuxian Wang +1 位作者 Dengjie Wang Xiaomei Yan 《Chinese Journal of Population,Resources and Environment》 2016年第3期182-188,共7页
In order to understand the characteristics of spatial and temporal variation,as well as provide effective ideas on carbon emissions and regulatory policy in Yantai,this article analyzed spatial and temporal variation ... In order to understand the characteristics of spatial and temporal variation,as well as provide effective ideas on carbon emissions and regulatory policy in Yantai,this article analyzed spatial and temporal variation of carbon emissions in Yantai based on energy consumption statistics for a variety of energy sorts together with industrial sectors from 2001 to 2011.The results were as following:First of all,Yantai's carbon emissions grew by an average of 5.5%per year during the last 10 years,and there was a peak of 10.48 million carbon in the year of 2011.Second,compared with the gross domestic product(GDP) growth rate,the figures for energy carbon emissions growth rate were smaller;however the problem of carbon emissions were still more obvious.Furthermore,carbon emissions in Yantai increased rapidly before 2008;while after 2008,it increased more slowly and gradually become stable.Third,the energy consumption was different among regions in Yantai.For instance,the energy consumption in Longkou city was the largest,which occupied 50%of the total carbon emissions in Yantai;and the energy consumption in Chang Island was generally less than 1%of the Longkou consumption.Finally,there were relative close relationships among the spatial difference of carbon emissions,regional resources endowment,economic development,industrial structure,and energy efficiency. 展开更多
关键词 Energy carbon emission spatial and temporal variation energy consumption carbon emission intensity
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Carbon Emission of Regional Land Use and Its Decomposition Analysis: Case Study of Nanjing City, China 被引量:11
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作者 ZHAO Rongqin HUANG Xianjin +3 位作者 LIU Ying ZHONG Taiyang DING Minglei CHUAI Xiaowei 《Chinese Geographical Science》 SCIE CSCD 2015年第2期198-212,共15页
Through the matching relationship between land use types and carbon emission items, this paper estimated carbon emissions of different land use types in Nanjing City, China and analyzed the influencing factors of carb... Through the matching relationship between land use types and carbon emission items, this paper estimated carbon emissions of different land use types in Nanjing City, China and analyzed the influencing factors of carbon emissions by Logarithmic Mean Divisia Index(LMDI) model. The main conclusions are as follows: 1) Total anthropogenic carbon emission of Nanjing increased from 1.22928 ×10^7 t in 2000 to 3.06939 × 10^7 t in 2009, in which the carbon emission of Inhabitation, mining & manufacturing land accounted for 93% of the total. 2) The average land use carbon emission intensity of Nanjing in 2009 was 46.63 t/ha, in which carbon emission intensity of Inhabitation, mining & manufacturing land was the highest(200.52 t/ha), which was much higher than that of other land use types. 3) The average carbon source intensity in Nanjing was 16 times of the average carbon sink intensity(2.83 t/ha) in 2009, indicating that Nanjing was confronted with serious carbon deficit and huge carbon cycle pressure. 4) Land use area per unit GDP was an inhibitory factor for the increase of carbon emissions, while the other factors were all contributing factors. 5) Carbon emission effect evaluation should be introduced into land use activities to formulate low-carbon land use strategies in regional development. 展开更多
关键词 carbon emission land use intensity Logarithmic Mean Divisia Index(LMDI) model decomposition analysis Nanjing City
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Analysis on Carbon Emissions from Energy Consumption in Agriculture and Reduction Measures in Guangdong Province 被引量:1
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作者 XIE Shu-juan1,2,3 1.Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China 2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China 3.Guangdong Academy of Social Sciences,Guangzhou 510610,China 《Meteorological and Environmental Research》 CAS 2011年第7期66-69,73,共5页
[Objective] The aim was to study CO2 emissions from energy consumption in agricultural production in Guangdong Province and put forward feasible reduction measures.[Method] Based on the data from China Energy Statisti... [Objective] The aim was to study CO2 emissions from energy consumption in agricultural production in Guangdong Province and put forward feasible reduction measures.[Method] Based on the data from China Energy Statistical Yearbook and Guangdong Statistical Yearbook,CO2 emissions from agricultural energy use in Guangdong Province from 2000 to 2009 was estimated by using the formula of carbon emissions recommended by Intergovernmental Panel on Climate Change (IPCC),and corresponding reduction measures were put forward.[Result] With the rapid increase of agricultural output and energy consumption,CO2 emissions from energy consumption in agricultural production in Guangdong Province showed increasing trend from 2000 to 2009,that is to say,increasing from 423.63×104 t C million tons in 2000 to 605.99×104 t C in 2009,with annual growth rate of 4.1%.Meanwhile,carbon emissions intensity during energy consumption in agriculture went down in recent ten years,in other words,decreasing from 0.424 t C/×104 yuan in 2000 to 0.301 t C/×104 yuan in 2009,and its annual decreasing rate was 3.7%.The variation of CO2 emissions from energy consumption in agriculture mainly resulted from the increase of agricultural output,improvement of energy utilization efficiency,high carbonization in agricultural energy consumption structure and so forth.Therefore,in order to reduce CO2 emissions from energy consumption in agriculture,it is necessary to vigorously develop rural renewable energy,develop and popularize advanced technology for energy utilization,advance the energy conservation of agricultural machines,establish and improve the macroeconomic control mechanism for carbon emissions from the energy consumption in agricultural production in the further.[Conclusion] The study could provide references for the establishment of policy about reducing carbon emissions from agricultural energy consumption in Guangdong Province. 展开更多
关键词 Energy consumption in agriculture Energy consumption structure CO2 emissions carbon emissions intensity China
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The Prediction of Carbon Emissions Demands in India under the Balance Economic Growth Path 被引量:1
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作者 Shiyan Zhai Zheng Wang 《Smart Grid and Renewable Energy》 2012年第3期186-193,共8页
Facing the challenge of climate change, forecasts of energy demand and carbon emissions demand are a key requirement for India to ensure energy security and the balance economic growth. The authors calculate the optim... Facing the challenge of climate change, forecasts of energy demand and carbon emissions demand are a key requirement for India to ensure energy security and the balance economic growth. The authors calculate the optimal economic growth under the balance economic growth path from 2009 to 2050 in India based on the economy-carbon dynamic model. Combination of Intergovernmental Panel on Climate Change (IPCC) 2006 edition of the formula of carbon emissions, energy intensity model, and population model, it gets the carbon emissions demand caused by energy consumption for time span 1980-2008. Then, it estimates the energy consumption demand and carbon emissions demand under the balance economic growth path from 2009 to 2050. The results show that the cumulative amount of energy demand and carbon emissions demand in India for the time span 2009 to 2050, are 44.65 Gtoe and 36.16 Gt C, separately. The annual demand of energy consumption and carbon emissions for India show an inverted U curve from 2009 to 2050. The demand of energy consumption and carbon emissions will peak in 2045, and the peak values are 1290.74 Mtoe and 1045.98 Mt C. Furthermore, India’s per capita energy consumption demand and carbon emissions demand also appear maximum values, which are separately 0.81 toe and 0.65 t C. 展开更多
关键词 BALANCE Economic Growth ENERGY intensity ENERGY CONSUMPTION carbon emissions
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Industrial Carbon Emissions Status and Analysis Based on Energy Consumption
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作者 Cao Zi Shen Zhenyao 《Chinese Journal of Population,Resources and Environment》 2011年第1期33-41,共9页
With frequent disastrous weathers and increasingly prominent GHG effects in recent years, normal existence and development of mankind are facing unprecedented threats and challenges. GHG emissions mitigation for the g... With frequent disastrous weathers and increasingly prominent GHG effects in recent years, normal existence and development of mankind are facing unprecedented threats and challenges. GHG emissions mitigation for the global climate changes has been the focus of concern of the world. As the biggest developing country and the second largest country of carbon-emission, China attaches importance to the carbon emission reduction. The major GHG component is carbon dioxide and in China, the emis- sion of carbon dioxide is mainly from industrial production. In the paper, the status and trend of Coz emission from industrial departments, high-carbon emission and its specific industries are shown in statistics. Meanwhile, the policy environment, industrial organization structure and technology of carbon high emission are all discussed based on practical situations in these departments and industries. At the end, through the analysis of gray correlation, correlativity is explored for both fossil energy consumption and total carbon emission, and also for the production value and carbon emission of each industrial sector. Some policy proposals for the establishment of low-carbon industries and transition of economic development pattern are set forth. 展开更多
关键词 industrial carbon emissions carbon intensity gray correlation emission reduction approach
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Effect of China's industrial structure adjustment on carbon emissions
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作者 FENG Rui DAI Bin-zheng SU Hui 《Ecological Economy》 2017年第2期117-124,共8页
Confronting the contradiction between the rapid development of economy and the effective protection of environment, and developing low carbon economy by optimizing the industrial structure have become one of the effec... Confronting the contradiction between the rapid development of economy and the effective protection of environment, and developing low carbon economy by optimizing the industrial structure have become one of the effective way to attract more attention. In the paper, we made a research on the correlation between china's three main industries and carbon emission intensity to find out the main factors which affect the intensity of carbon emission in China by measuring the gross emission in china's 28 main provinces in 2003-2013 and using Grey correlation analysis based on the change tendency. The results indicate that the second industry has the largest correlation with carbon emission intensity; the tertiary industry helps reduce the intensity of carbon emission, but it is not very obvious; the first industry has the least impact on carbon emission intensity. In the last part, according to the characteristics of industrial structure and carbon emission, we put forward the suggestions and strategies on the adjustment of china's industrial structure in future with the results analysis. 展开更多
关键词 industrial structure carbon emission intensity grey correlation analysis
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Study on carbon intensity trading market based on carbon finance mechanism
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作者 Zhen-WEI 《International Journal of Technology Management》 2015年第9期110-112,共3页
As the largest developing country in the world, China has not be involved in the obligation of emissions reduction in the (〈Kyoto Protocol)) . But it has become the largest CO2 emissions countries in the world. Th... As the largest developing country in the world, China has not be involved in the obligation of emissions reduction in the (〈Kyoto Protocol)) . But it has become the largest CO2 emissions countries in the world. This makes China confronted with more pressure of carbon emissions reduction in the post-Kyoto era, and face great challenges in response to climate change issues. On one hand, China' s economic growth stage has decided that the situation of more energy consumption and increased carbon emissions is diffficult to reverse in the short term; On the other hand, the traditional policy under the control of total amount of carbon emission has largely restricted economic development. If a developing country in economic transition is carried out compulsory absolute amount of carbon reduction policies, its economic activity and social consumption will be imposed additional constraints inevitably, which will eventually lead to lower economic competitiveness and decline in social standards of living. Ultimately it will affect the good effects of carbon emissions reduction, so the policy can not achieve a satisfactory result. This paper introduces the financial mechanism into the carbon market model, extends the time of model from one phase to multi-phase. And this paper tries to establish a cross-time carbon credits trade system, and the current strength of the traditional carbon emission market trade model is extended. The paper designs two type of option mechanism model--call options trade carbon emissions model and put options carbon emissions model. Models' results show that choosing options tool to extend our traditional carbon market model can bring following impacts on carbon market development: trade costs have fallen, the carbon intensity also has descended, and has realized the flow of carbon intensity in diffident time; it enables manufacturers to effectively avoid the risk of carbon emissions trade; it increases the flexibility and maneuverability of the carbon trade market. Finally, the policy recommendations in the financial mechanisms carbon market trade are put forward. 展开更多
关键词 Climate change carbon intensity emission permits trade of carbon Market mechanism carbon finance
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Convergence Study of Chinese Carbon Intensity
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作者 Bo WANG 《International Journal of Technology Management》 2014年第11期72-75,共4页
This paper establishes the theoretical hypothesis of carbon intensity convergence, and through statistics to analyze and describe the whole country and the eastern and western regions with the use of mixed regression ... This paper establishes the theoretical hypothesis of carbon intensity convergence, and through statistics to analyze and describe the whole country and the eastern and western regions with the use of mixed regression model and fixed effects regression method, and test σ -convergence, absolute convergence and conditional convergence in order to have an empirical study on carbon convergence hypothesis. 展开更多
关键词 carbon emissions intensity CONVERGENCE Economic Growth
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A Distributed Computing Algorithm for Electricity Carbon Emission Flow and Carbon Emission Intensity
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作者 Xingping Wu Wei Yang +3 位作者 Ning Zhang Chunlei Zhou Jinwei Song Chongqing Kang 《Protection and Control of Modern Power Systems》 SCIE EI 2024年第2期138-146,共9页
The calculation of the indirect carbon emis-sion is essential for power system policy making,carbon market development,and power grid planning.The em-bedded carbon emissions of the electricity system are commonly calc... The calculation of the indirect carbon emis-sion is essential for power system policy making,carbon market development,and power grid planning.The em-bedded carbon emissions of the electricity system are commonly calculated by carbon emission flow theory.However,the calculation procedure is time-consuming,especially for a country with 500-1000 thousand nodes,making it challenging to obtain nationwide carbon emis-sions intensity precisely.Additionally,the calculation procedure requires to gather all the grid data with high classified levels from different power grid companies,which can prevent data sharing and cooperation among different companies.This paper proposes a distributed computing algorithm for indirect carbon emission that can reduce the time consumption and provide privacy protection.The core idea is to utilize the sparsity of the nodes’flow matrix of the nationwide grid to partition the computing procedure into parallel sub-procedures exe-cuted in multiple terminals.The flow and structure data of the regional grid are transformed irreversibly for pri-vacy protection,when transmitted between terminals.A 1-master-and-N-slave layout is adopted to verify the method.This algorithm is suitable for large grid compa-nies with headquarter and branches in provinces,such as the State Grid Corporation of China. 展开更多
关键词 carbon emission flow cooperative computing carbon emission intensity matrix block par-tition power flow tracing parallel computing privacy protection
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Effects of Organic Manure Applications on Methane and Nitrous Oxide Emissions in Paddy Fields 被引量:2
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作者 WU Jia-mei JI Xiong-hui +5 位作者 PENG Hua XIE Yun-he GUAN Di TIANFa-xiang ZHU Jian HUO Lian-jie 《Agricultural Science & Technology》 CAS 2018年第2期36-48,共13页
This study was carried out in paddy fields to explore how organic manure applications would affect greenhouse emissions in South China. The results showed that the seasonal emission of CH4 under the chemical fertiliz... This study was carried out in paddy fields to explore how organic manure applications would affect greenhouse emissions in South China. The results showed that the seasonal emission of CH4 under the chemical fertilizer (CF) treatment was 271.47 kg/hm^2. In comparison, the seasonal emissions of CH4 under the treatment of pig manure (PM), chicken manure (CM) and rice straw (RS) increased by 50.61,260.22 and 602.82 kg/hm^2, respectively. N2O emission under the CF treatment was 1.22 kg/hm^2, while the N20 seasonal emissions under tile PM, CM and RS treatment decreased by 23.6% (P〈0.05), 31.7% (P〈0.05) and 30.9% (P〈0.05), respectively. Meanwhile, the readily oxidized organic carbon (which was oxidized by 167 mmol/L potassium permanganate, ROC167) of manure, paddy soil Eh value and temperature could also affect the CH4 emissions. The average yield of the organic fertilizer treatments increased by 6.8% compared with that of the CF treatment. Among all the organic fertilizer treatments, the PM treatment offered the lowest global warming potential and greenhouse gas intensity, in which the PM was of no significant difference from NF (no fertilizing) and CF. Therefore, the pig manure is capable of coordinating the relationship between environment and yield, and it also has a low ROC167 content, so the PM is considered worthy of recommendation. 展开更多
关键词 Paddy field Methane emission Nitrous emission Soil Eh value Readily oxidized organic carbon Greenhouse gas intensity
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Empirically Analysis of the CO_2 Emissions Embodied in Exports of China 被引量:1
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作者 Zhu Qirong 《Chinese Journal of Population,Resources and Environment》 2011年第3期86-96,共11页
In this paper,using the input-output model,the author first calculated the CO 2 emissions embodied in exports of China in 2002 and 2007.Then,the author empirically analyzed problems existing in the composition of expo... In this paper,using the input-output model,the author first calculated the CO 2 emissions embodied in exports of China in 2002 and 2007.Then,the author empirically analyzed problems existing in the composition of exported products and analyzed its possible reasons.The research results of this paper are as follows:Since China's entry into WTO,the CO 2 emissions embodied in exports of China have been increasing rapidly;the value of exported products of high-carbon emissions industries accounts for a relatively higher proportion to China's total exports value because China's carbon intensive products have a certain competitive advantage.Additionally,this paper has put forward relevant suggestions based on these results. 展开更多
关键词 EXPORTS CO2 emissions carbon intensive prod-ucts inputoutput model
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The Driving Forces of CO2 Emission in China: 2002-2007
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作者 Libo Yuan Yinchuan Xu 《Chinese Business Review》 2013年第4期298-304,共7页
This paper provides a computation on both the China's aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on ... This paper provides a computation on both the China's aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on the various determinants of the change in the emission volume, with the aid of structural decomposition analysis (SDA) based on a residual-free method. Based on the input-output table of China in 2002 and 2007, the merge of sectors and the adjustment of price change have been made during the study. The emissions of carbon dioxide in China increased from 2,887.3 million ton to 5,664.6 million ton during 2002-2007. The average rate of increase is 13.3%, faster than the average rate of gross domestic product (GDP) growth 11.6% slightly. According to the process of SDA, the changes in emission are analyzed in terms of four different factors. Among the four factors studied in the paper, it is found that the change of emission intensity and structure of demand are the main reason of the decrease of emission, while production technology and scale effect increase the emission volume. The paper also finds that although the direct emission intensity decreased during the study period, the total emission intensity increased with the annual rate of 3.8%, which reflects the result of energy policy is not equal in different sectors. 展开更多
关键词 carbon emissions input-output table hybrid units structural decomposition analysis trading structure emission intensity
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Does the Belt and Road Initiative Increase the Carbon Emission Intensity of Paticipating Countries? 被引量:7
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作者 Yan Wu Chunlai Chen Cong Hu 《China & World Economy》 SCIE 2021年第3期1-25,共25页
The impact that the Belt and Road Initiative(BRI)has had on carbon emissions is a hotly debated issue.Using a panel dataset of 178 countries from 2002 to 2017,and applying the quantile difference-in-difference method ... The impact that the Belt and Road Initiative(BRI)has had on carbon emissions is a hotly debated issue.Using a panel dataset of 178 countries from 2002 to 2017,and applying the quantile difference-in-difference method in different industries,this study finds that,first,the BRI overall tends to reduce the carbon emission intensity of BRI countries.Second,the impact of BRI on reducing the carbon emission intensity is significant for BRI countries at higher(0.8 and 0.9)and lower(0.2 and 0.3)carbon emission intensity quantiles but it is insignificant for those at medium levels.Third,the BRI has significant impacts on reducing carbon emission intensity in the energy-intensive industries,and this effect is the highest at the quantile level of 0.9 for all three industries considered here:transportation,electric and heating,and manufacturing and construction.These results indicate that establishing BRI cooperation with China will improve the environment and enhance the sustainable development ability of BRI countries. 展开更多
关键词 Belt and Road Initiative carbon emission intensity DIFFERENCE-IN-DIFFERENCE quantile regression
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