CO2 emissions and their bearing on China＇s economic development： the long view

Greenhouse-gas (GHG) emissions in China have aroused much interest, and not least in recent evidence of their reduction. Our intent is to place that reduction in a larger context, that of the process of industrialization. A lengthy time perspective is combined with a cross-sectional approach-China plus five other countries-and addressed through two general models. The findings are salutary. First, they suggest that a diversified economic structure is consistent with diminished intensity in energy use. Secondly, and the obverse of the first, they imply that a diversified energy structure promotes reductions in CO2 emissions. Finally, one is led inevitably to the conclusion that, together, the findings point to a path for countries to transform their economies while at the same time undertaking to drastically moderate their energy use, switching from a pattern of heavy carbon emissions to one in which lighter carbon emissions prevail. The implications of such findings for environmental management are enormous.

Temperature Effect Investigation toward Peat Surface CO2 Emissions by Planting Leguminous Cover Crops in Oil Palm Plantations in West Kalimantan

The aim of this research was to know the impact of planting leguminous cover crops （LCCs） of Mucuna bracteata and Calopogonium mucunoides in oil palm plantation on peatland on reducing CO2 emissions. Atmosphere temperature, peat surface temperature, in-closed chamber temperature and peat surface CO2 fluxes were monitored on two adjacent experimental plots. The first experimental plot was on the newly opened peat surface （NOPS） and another was on the eight years planted oil palm land （EPOL）. The closed chamber techniques adopted from International Atomic Energy Agency （IAEA） （1993） were implemented to trap CO2 emissions emitted from 24 treatment plots at the 1st, 3rd and 6th months observations. Average CO2 fluxes observed on no LCCs plots in the NOPS site were 61.25 ± 8.98, 33.76 ± 2.92 and 33.75 ± 3.45 g/m2.h, while in the EPOL site were 55.38 ± 15.95, 29.90 ± 5.32 and 27.70 ± 4.62 g/mLh at the 1st, 3rd and 6th months monitoring, respectively. Average CO2 fluxes observed on the planted M. bracteata plots in the NOPS site were 68.2 ± 24.5, 12.88 ± 3.70 and 10.40 ± 1.28 g/m2.h, whereas in the EPOL site were 54.04 ± 6.70, 11.45 ± 2.00 and 9.33 ± 3.49 g/m2.h at the 1st, 3rd and 6th months monitoring, respectively. Average CO2 flux observed on the planted C. mucunoides plots in the NOPS site were 66.5 ± 23.7, 15.41 ± 1.51 and 9.74 ± 2.55 g/m2.h, while in the EPOL site were 47.00 ± 5.00, 9.34 ± 1.23 and 10.52 ± 4.80 g/m2.h at the 1st, 3rd and 6th months, respectively. P-value for the experimental sites was 0.008 （〈 0.05）, indicating the significant difference in the level of CO2 fluxes between the sites. P-value for the treatments in the experimental plots was 0.000 （〈 0.05）, indicating markedly different level of CO2 fluxes among treatments. P-value for the age ofM. bracteata and C. mucunoides planted on the experimental plots was 0.000 （〈 0.05）, indicating the significant difference in the level of CO2 fluxes due to the enhanced LCCs age performing at the increase of shading effects. The comparison of CO2 fluxes among experimental plots shows that planting M. bracteata and C. mucunoides on the peatland could reduce CO2 emission.

An efficient methodology for utilization of K-feldspar and phosphogypsum with reduced energy consumption and CO2 emissions

The issues of reducing CO_2 emissions, sustainably utilizing natural mineral resources, and dealing with industrial waste offer challenges for sustainable development in energy and the environment. We propose an efficient methodology via the co-reaction of K-feldspar and phosphogypsum for the extraction of soluble potassium salts and recovery of SO_2 with reduced CO_2 emission and energy consumption. The results of characterization and reactivity evaluation indicated that the partial melting of K-feldspar and phosphogypsum in the hightemperature co-reaction significantly facilitated the reduction of phosphogypsum to SO_2 and the exchange of K^+(K-feldspar) with Ca^(2+)(CaSO_4 in phosphogypsum). The reaction parameters were systematically investigated with the highest sulfur recovery ratio of ~ 60% and K extraction ratio of ~ 87.7%. This novel methodology possesses an energy consumption reduction of ~ 28% and CO_2 emission reduction of ~ 55% comparing with the present typical commercial technologies for utilization of K-feldspar and the treatment of phosphogypsum.

Life Cycle Input-Output Analysis Extended to Use, Disposal, and Recycling Stages Applied to Embodied CO2 Emissions of a Refrigerator

Input-output analysis is widely employed to analyze inventories of a product＇s embodied energy and environmental burdens. However, input-output analysis focuses only on the production stage and ignores other life cycle phases. Input-output analysis is not exactly a LCA （life cycle assessment） method in the strict sense of ISO 14040 standards, which must cover all stages of a product＇s life cycle, ＂from the cradle to the grave＂, so to speak. A tiered hybrid LCA is a useful tool that covers all life cycle stages by combining a process analysis with the input-output analysis method. This study aims to extend input-output analysis to the use, disposal, and recycling stages by using matrix-based method. The new method is applied to the analysis of the embodied CO2 emissions of a refrigerator as a case study. The entire life cycle C02 emissions are estimated to be 2.9 tons, including indirect emissions, and the reduction in CO2 emissions due to recycling steel scrap is calculated as 48.5 kg. The authors conclude that the new method enables a consistent inventory analysis for all life cycle stages by combining process and input-output methods.

Measuring the Effect of Foreign Direct Investment on CO2 Emissions in Laos

This paper aims to explore the determinants of C〇2 emissions in Laos by accounting for the significant role played by foreign direct investment(FDI)in influencing C 02 emissions during the period 1990-2017.We apply a Johansen co-integration testing approach to investigate the presence of co-integration,and the empirical findings underscore the presence of a long-run co-integration relationship between CO2 emissions,FDI,per capita GDP,and industrial structure.We also employ an error-correcting model to examine the short-term dynamic effect of FDI on CO2 emissions.The empirical results show that FDI has a significant short-term dynamic effect on changes in CO2 emissions,indicating that the relationship between FDI and CO2 emissions is an inverted U-shaped curve.This is a validation of the EKC.Changes of FDI,per capita GDP,and industrial structure increase CO2 emissions.Based on the analysis results,this paper puts forward policy suggestions emphasizing the need for both Laotian policymakers and Chinese investors to improve eco-environmental quality.

Analysis of CO2 Emissions and the Mechanism of the Industrial Enterprises above Designated Size（IEDS） in Resource-based Cities by Application of Geographical Detector Technology

Resource-based cities are the most important players in responding to climate change and achieving low carbon development in China.An analysis of relevant data(such as the energy consumption)showed an inter-city differentiation of CO2 emissions from energy consumption,and suggested an influence of the Industrial Enterprises above Designated Size(IEDS)in resource-based industrial cities at the prefecture level and above in different regions.Then by geographical detector technology,the sizes of each influencing mechanism on CO2 emissions from energy consumption of the IEDS were probed.This analysis showed that significant spatial differences exist for CO2 emissions from energy consumption and revealed several factors which influence the IEDS in resource-based cities.(1)In terms of unit employment,Eastern and Western resource-based cities are above the overall level of all resource-based cities;and only Coal resource-based cities far exceeded the overall level among all of the cities in the analysis.(2)In terms of unit gross industrial output value,the Eastern,Central and Western resources-based cities are all above the overall level for all the cities.Here also,only Coal resource-based cities far exceeded the overall level of all resources-based cities.Economic scale and energy structure are the main factors influencing CO2 emissions from energy consumption of the IEDS in resource-based cities.The factors influencing CO2 emissions in different regions and types of resource-based cities show significant spatial variations,and the degree of influence that any given factor exerts varies among different regions and types of resource-based cities.Therefore,individualized recommendations should be directed to different regions and types of resource-based cities,so that the strategies and measures of industrial low carbon and transformation should vary greatly according to the specific conditions that exist in each city.

CO2 emissions from cement industry in China： A bottom-up estimation from factory to regional and national levels

Much attention is being given to estimating cement-related CO2 emissions in China. However, scant explicit and systematical exploration is being done on regional and national CO2 emission volumes. The aim of this work is therefore to provide an improved bottom-up spatial-integration system, relevant to CO2 emissions at factory level, to allow a more accurate estimation of the CO2 emissions from cement production. Based on this system, the sampling data of cement production lines were integrated as regional- and national-level information. The integration results showed that each ton of clinker produced 883 kg CO2, of which the process, fuel, and electricity emissions accounted for 58.70%, 35.97%, and 5.33%, respectively. The volume of CO2 emissions from clinker and cement production reached 1202 Mt and 1284 Mt, respectively, in 2013. A discrepancy was identified between the clinker emission factors relevant to the two main production processes （i.e., the new suspension preheating and pre-calcining kiln （NSP） and the vertical shaft kiln （VSK））, probably relevant to the energy efficiency of the two technologies. An analysis of the spatial characteristics indi- cated that the spatial distribution of the clinker emission factors mainly corresponded to that of the NSP process. The discrepancy of spatial pattern largely complied with the economic and population distribution pattern of China. The study could fill the knowledge gaps and provide role players with a useful spatial integration system that should facilitate the accurate estimation of carbon and corresponding regional mitigation strategies in China.

Comparative study of energy consumption and CO2 emissions between Beijing and London

From the view of geographic location, climate and population status, this paper makes a comparative study of the economy structure, transport system, energy supply and carbon emissions among a few cities, especially between Beijing and London, two mega-cities in the world. The developed tertiary industry, consummate transport system and low-carbon energy supply system in London can be referenced to assist Beijing in establishing a low-carbon development pathway. The difference in the statistical coverage of population between these two cities also brings about the divergence of energy consumption per capita and CO2 emissions per capita between them.

An Analysis of the Increase of CO2 Emissions in China： Based on an SDA technique

This paper creates an extended import-competitive economy-energy-environmental input/output model and employs a structural decomposition analysis （SDA） approach based on double-layer nested structural formulae to break down China＇s carbon dioxide emissions growth between 1992 and 2007from three perspectives： the overall economy, by-industry and by industrial sectors. Analysis results indicate that the energy intensity effect remains the biggest factor behind carbon emissions reduction. This paper also .found that between 2002 and 2007, China＇s carbon emissions growth obviously accelerated compared to the previous period, which indicates a ＂high carbon＂ tendency in the new round of industrialization. Therefore, in addition to developing a circular economy and clean production, accelerating the phasing out of backward capacities, and developing new energies, China should further encompass the positive role of energy intensity.

Analysis on CO2 Emissions Transferred from Developed Economies to China through Trade

Based on a global input-output model, this paper investigates the CO2 emission transfer between China and developed economies through trade. The results show that approximately 15-23 percent of China＇s production-based emissions during 1995-2009 were induced by the production of goods and services satisfying final demand in developed economies. Decomposition of emission transfers shows that trade of intermediate products played a significant role in emission transfer from developed economies to China. Most developed economies have consumption-based emission responsibilities that are higher than their production-based responsibilities, whereas China＇s consumption-based responsibility is significantly lower than its production-based responsibility. We argue that a fair and efficient carbon accounting approach should take CO 2 emission transfers from developed economies to developing economies into consideration. It is important that China and its developed trade partners cooperate in reducing emission transfers.

Effect of intensity and duration of freezing on soil microbial biomass,extractable C and N pools,and N2O and CO2 emissions from forest soils in cold temperate region

Freezing can increase the emissions of carbon dioxide （CO2） and nitrous oxide （N2O） and the release of labile car- bon （C） and nitrogen （N） pools into the soil. However, there is limited knowledge about how both emissions respond differ- ently to soil freezing and their relationships to soil properties. We evaluated the effect of intensity and duration of freezing on the emissions of CO2 and N2O, net N mineralization, microbial biomass, and extractable C and N pools in soils from a mature broadleaf and Korean pine mixed forest and an adjacent secondary white birch forest in northeastern China. These soils had different contents of microbial biomass and bulk density. Intact soil cores of 0-5 cm and 5-10 cm depth sampled from the two temperate forest floors were subjected to -8, -18, and -80℃ freezing treatments for a short （10 d） and long （145 d） duration, and then respectively incubated at 10~C for 21 d. Soil cores, incubated at 10℃ for 21 d without a pretreatment of freezing, served as control. Emissions of N20 and COz after thaw varied with forest type, soil depth, and freezing treatment. The differ- ence could be induced by the soil water-filled pore space （WFPS） during incubation and availability of substrates for N20 and CO2 production, which are released by freezing. A maximum N2O emission following thawing of frozen soils was observed at approximately 80% WFPS, whereas CO2 emission from soils after thaw significantly increased with increasing WFPS. The soil dissolved organic C just after freezing treatment and CO2 emission increased with increase of freezing duration, which paralleled with a decrease in soil microbial biomass C. The cumulative net N mineralization and net ammonification after freezing treatment as well as N2O emission were significantly affected by freezing temperature. The N2O emission was nega- tively correlated to soil pH and bulk density, but positively correlated to soil KzSO4-extractable NO3 -N content and net am- monification. The CO2 emission was positively correlated to the cumulative net N mineralization and net ammonification. From the above results, it can be reasonably concluded that for a wide range of freezing temperature and freezing duration, N2O and CO2 emissions after thaw were associated mainly with the changes in soil net N mineralization and the availability of substrate liberated by freezing as well as other soil properties that influence porosity.

GRA BASED ANALYSIS ON FACTORS INFLUENCING CO_2 EMISSIONS IN CHINA

How to achieve the objective of reducing CO2 emissions has been an academic focus in China recently. The factors influencing CO2 emissions are the vital issue to accomplish the arduous target. Firstly, three influential factors, the energy consumption, the proportion of tertiary industry in gross domestic product （GDP）, and the degree of dependence on foreign trade, are carefully selected, since all of them have closer grey relation with China＇s COz emissions compared with others when the grey relational analysis （GRA） method is applied. The study highlights co-integration relation of these four variables using the co-integration analysis method. And then a long-term co-integration equation and a short-term error correction model of China＇s CO2 emissions are devel- oped. Finally, the comparison is exerted between the forecast value and the actual value of China＇s CO2 emissions based on error correction model. The results and the relevant statistics tests show that the pro- posed model has better explanation capability and credibility.

Measurement and Scenario Simulation of Effect of Urbanisation on Regional CO_2 Emissions Based on UEC-SD Model:A Case Study in Liaoning Province,China

Based on the logical causal relationship and taking Liaoning Province, China, which is the Chinese traditional industrial base and is in the stage of accelerated urbanisation, as a case study, this study builds the ＇Urbanisation-Energy Consumption-COn Emissions System Dynamics （UEC-SD）＇ model using a system dynamics method. The UEC-SD model is applied to analyse the effect of the ar- banisation process on the regional energy structure and CO2 emissions, followed by simulation of future production and living energy consumption structure as well as the evolutionary trend of CO2 emissions of three urbanisation scenarios （low speed, intermediate speed and high speed） under the assumed boundary conditions in urban and rural areas of Liaoning Province, China. The results show that the urbanisation process can alter production and the living energy consumption structure and thereby change regional CO2 emissions. An increase in the urbanisation rate in case area will lead to regional COz emissions rising in the short term, but when the urbanisation rate approaches 80%, CO2 emissions will reach a peak value and then decrease. Comparison of different urbanisation rates showed that pro- duction and living energy consumption exhibit different directions of change and rules in urban and rural areas. The effect of urbanisa- tion on CO2 emissions and energy structure is not direct, and urbanisation can increase the differences in energy and CO2 emissions between urban and rural areas caused by the industrial structure, technical level and other factors.

Exploring the Association between Climate Change and Human Development: A Visual Analytics Study

This study explores the complex relationship between climate change and human development. The aim is to understand how climate change affects human development across countries, regions, and the global population. Visual analytics were used to examine the impact of various climate change indicators on different aspects of human development. The study highlights the urgent need for climate change action and encourages policymakers to make decisive moves. Climate change adversely affects numerous aspects of daily life, leading to significant consequences that must be addressed through policy changes and global governance recommendations. Key findings include that regions with higher CO2 emissions experience a significantly higher incidence of life-threatening diseases compared to regions with lower emissions. Additionally, higher CO2 emissions correlate with consistent death rates. Increased pollution exposure is associated with a higher prevalence of life-threatening diseases and higher rates of malnutrition. Moreover, greater mineral depletion is linked to more frequent life-threatening diseases, suggesting that industrialization contributes to adverse health effects. These results provide valuable insights for policy and decision-making aimed at mitigating the impact of climate change on human development.

The spatial distribution of commuting CO_2 emissions and the influential factors:A case study in Xi'an,China

As the transport sector is a major source of greenhouse gas emissions, the effect of urbanization on transport CO2 emissions in developing cities has become a key issue under global climate change. Examining the case of Xi＇an, this paper aims to explore the spatial distribution of commuting CO2 emissions and influencing factors in the new, urban industry zones and city centers considering Xi＇an＇s transition from a monocentric to a polycentric city in the process of urbanization. Based on household survey data from 1501 respondents, there are obvious differences in commuting CO2 emissions between new industry zones and city centers： City centers feature lower household emissions of 2.86 kg CO2 per week, whereas new industry zones generally have higher household emissions of 3.20 kg CO2 per week. Contrary to previous research results, not all new industry zones have high levels of CO2 emissions; with the rapid development of various types of industries, even a minimum level of household emissions of 2.53 kg CO2 per week is possible. The uneven distribution of commuting CO2 emissions is not uniformly affected by spatial parameters such as job-housing balance, residential density, employment density, and land use diversity. Optimum combination of the spatial parameters and travel pattern along with corresponding transport infrastructure construction may be an appropriate path to reduction and control of emissions from commuting.

Appraisal of CO2 storage potential in compressional hydrocarbon-bearing basins: Global assessment and case study in the Sichuan Basin(China)

Carbon capture and storage(CCS)has been proposed as a potential technology to mitigate climate change.However,there is currently a huge gap between the current global deployment of this technology and that which will be ultimately required.Whilst CO2 can be captured at any geographic location,storage of CO2 will be constrained by the geological storage potential in the area the CO2 is captured.The geological storage potential can be evaluated at a very high level according to the tectonic setting of the target area.To date,CCS deployment has been restricted to more favourable tectonic settings,such as extensional passive margin and post-rift basins and compressional foreland basins.However,to reach the adequate level of deployment,the potential for CCS of regions in different tectonic settings needs to be explored and assessed worldwide.Surprisingly,the potential of compressional basins for carbon storage has not been universally evaluated according to the global and regional carbon emission distribution.Here,we present an integrated source-to-sink analysis tool that combines comprehensive,open-access information on basin distribution,hydrocarbon resources and CO2 emissions based on geographical information systems(GIS).Compressional settings host some of the most significant hydrocarbon-bearing basins and 36% of inland CO2 emissions but,to date,large-scale CCS facilities in compressional basins are concentrated in North America and the Middle East only.Our source-to-sink tool allows identifying five high-priority regions for prospective CCS development in compressional basins:North America,north-western South America,south-eastern Europe,the western Middle East and western China.We present a study of the characteristics of these areas in terms of CO2 emissions and CO2 storage potential.Additionally,we conduct a detailed case-study analysis of the Sichuan Basin(China),one of the compressional basins with the greatest CO2 storage potential.Our results indicate that compressional basins will have to play a critical role in the future of CCS if this technology is to be implemented worldwide.

Sources and Flows of Embodied CO_2 Emissions in Import and Export Trade of China

This paper uses the Global Trade Analysis Project(version 7)database to calculate embodied CO2emissions in bilateral trade between China and other countries(regions)based on input-output methods.The sources and flows of embodied CO2emissions in import and export trade of China are analyzed.Results show that the flows of embodied CO2emissions in export trade are highly concentrated.The main flows to the United States(US)and Japan account for 1/4 and 1/7 of the total CO2emissions in export trade,respectively.Concentrated flows of total exports and small differences in export structure are the main reasons for the highly concentrated export trade.The sources of embodied CO2emissions in import trade have relatively low concentration.Taiwan Province of China,Hong Kong Special Administrative Region of China,US,Russia,Republic of Korea,and Japan account for around 7.72%–12.67%of the total embodied CO2emissions in import trade.The relative dispersion of import sources,the impact of the import structure,and the level of production technology in importing countries caused low concentration of CO2emissions in import trade.Overall,the embodied CO2emissions in the export trade of China are higher than those in import trade.As a result,production-based CO2emissions are higher than consumption-based CO2emissions.The difference of 8.96×108t of CO2,which comes mainly from the US,Japan,Germany,and the United Kingdom,accounts for 58.70%of the total difference.Some suggestions,such as improving energy efficiency,alerting high carbon-intensive industries transfer,expanding the market for sharing risks,and prompting the accounting system of consumption-based CO2emissions,are proposed based on the results.

Status of CO_2 emissions,driving forces and mitigation countermeasures of Tianjin,China

Climate change is a long-term and important challenge facing the whole world. Mitigation of CO2 emissions is one of important measures responding to climate change. The task of responding to climate change facing each city is very urgent. The total amount of Tianjin City＆#39;s CO2 emissions from energy use and industrial processes is large and the amount of CO2 emissions per capita from fossil fuel combustion is quite high. Mitigation of CO2 emission in Tianjin City encounters many difficulties such as increasing population, rapidly growing economy, heavy industrial structure, backward tertiary industry, low level of energy efficiency and product technologies, and energy structure relying mainly on coal. This paper analyzes Tianjin City＆#39;s general situation of economic and social developments, estimates Tianjin City＆#39;s status of CO2 emissions using 2006 IPCC Guidelines for National Greenhouse Gas Inventories, analyzes Tianjin City＆#39;s driving forces of CO2 emissions by methodology to analyze the driving forces of energy-related CO2 emissions, and puts forward countermeasures mitigating CO2 emissions in Tianjin City, such as strictly controlling increasing population, expediting industrial structure adjustment, insisting on strategy of energy conserving, vigorously enhancing energy efficiency, exploiting and using clean and renewable energy, advancing energy structure adjustments, and actively developing carbon capture and storage （CCS） technologies.

Empirically Analysis of the CO_2 Emissions Embodied in Exports of China

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.

Analysis on Carbon Emissions from Energy Consumption in Agriculture and Reduction Measures in Guangdong Province

[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.