Multi-regional input-output analysis for China＇s regional CH4 emissions

China is the largest CH4 emitter in the world. Given the importance of CH4 in greenhouse gas emission inventories, the characteristics ofChina＇s CH4 emissions at different scales deserve to be fully understood. Presented in this paper is an interprovincial input output embodi- ment analysis of China＇s regional CH4 emissions in 2007, based on the most recently available multi-regional input- output table, and relevant CH4 emissions data. The results show that the eastern, central and western areas contribute to 48.2%, 28.6%, and 23.3% of the national total embodied emissions, respectively. Guangdong has the highest level of embodied CH4 emissions among all of the 30 regions. The Agriculture sector produces the most embodied CH4 emissions in final demand, followed by the Construction, Food Production and Tobacco Processing, and Other Service Activities sectors. Significant net transfers of embodied CH4 emission flows are identified from the central and western areas to the eastern area via interregional trade. Shanxi is the largest interregional exporter of embodied CH4 emissions. In contrast, Guangdong is the largest interregional importer. Energy activities, agricultural activities, and waste management comprise 65.6%, 30.7%, and 3.7% of the total embodied CH4 emissions in interregional trade, respectively. By using consumption-based accounting principles, the emis- sion magnitudes, per capita emissions, and emission intensities of most eastern regions increase remarkably, while those of some central and western regions decrease largely. To achieve regional CH4 emission mitigation, comprehensive mitigation measures should be designed under consideration of regional transfer of emission responsibility.

Demand-driven water withdrawals by Chinese industry： a multi-regional input-output analysis

With ever increasing water demands and the continuous intensification of water scarcity arising from China＇s industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water with- drawals by Chinese industry and investigates demand- driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal （DWW）, and Construction has the largest embodied industrial water use （EWU）. Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water- saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China＇s water policies.

A process-level hierarchical structural decomposition analysis (SDA) of energy consumption in an integrated steel plant

A hierarchical structural decomposition analysis(SDA) model has been developed based on process-level input-output(I-O) tables to analyze the drivers of energy consumption changes in an integrated steel plant during 2011-2013. By combining the principle of hierarchical decomposition into D&L method, a hierarchical decomposition model for multilevel SDA is obtained. The developed hierarchical IO-SDA model would provide consistent results and need less computation effort compared with the traditional SDA model. The decomposition results of the steel plant suggest that the technology improvement and reduced steel final demand are two major reasons for declined total energy consumption. The technical improvements of blast furnaces, basic oxygen furnaces, the power plant and the by-products utilization level have contributed mostly in reducing energy consumption. A major retrofit of ancillary process units and solving fuel substitution problem in the sinter plant and blast furnace are important for further energy saving. Besides the empirical results, this work also discussed that why and how hierarchical SDA can be applied in a process-level decomposition analysis of aggregated indicators.

By Sector Water Consumption and Related Economy Analysis Integrated Model and Its Application in Hai River Basin, China

This paper established a by sector water consumption and economy analysis integrated model with input–output analysis method. The model can be used to identify the relationships between economic activities and the direct water consumption, the total water consumption and the intersectoral water transaction for detailed sectors in regional economy. The method is applied to Hai River Basin in China that is characterized by water shortage. The results found that in Hai River Basin, agriculture sector is responsible for 81.2% of the direct total water consumption in the region, but industrial and service sectors account for 53.2% of the indirect total water consumption. To 24 industrial and service sectors, their ratios of indirect water consumption to total water consumption belong to [90%, 99%]. To per unit output, water consumption intensity was highest in agriculture sector 1 at 96.91 m3 per thousand Yuan, the value of 28 industrial and service sectors were smaller than 1. Products of sector 1, sector 24, sector 3, sector 12, sector 6, sector 11 and sector 10 are the main suppliers of indirect water.

An Analysis of the Influence of Chinese Agriculture on National Economy and the Macroeconomic Effects

As a basic industry,agriculture has a far-reaching impact on national economy. Based on input-output tables of China in 2005 and2010,this paper gives a deep insight into the relationship between agriculture and national economy and its macroeconomic effects by the methods of input-output analysis,industrial correlation and macroeconomic effect analysis. The results show that the agricultural development is highly dependent on the national economy,but makes low contribution; agriculture contributes to promoting employment and improving the structure of national income distribution; despite the government's tax incentive,the agricultural equipments are updated slowly,and the corporate profits are at low level; agricultural export effect is far below the average industry level,but the import effect increases over the years,and final products are often used for domestic consumption. Finally,we set forth recommendations for improving the development of agriculture and national economy.

SOME RESULTS ON CONTINUOUS TYPE CONDITIONAL INPUT-OUTPUT EQUATION-FIXED POINT AND SURJECTIVITY METHODS

Based on the classical(matrix type)input-output analysis,a type of nonlinear (continuous type) conditional Leontief model,input-output equation were introduced,as well as three corresponding questions,namely,solvability,continuity and surjectivity,and some fixed point and surjectivity methods in nonlinear analysis were used to deal with these questions. As a result,the main theorems are obtained,which provide some sufficient criterions to solve above questions described by the boundary properties of the enterprises consuming operator.

Regional Agricultural Input-Output Model and Countermeasure for Production and Income Increase of Farmers in Southern Xinjiang,China

Agricultural input and output status in southern Xinjiang,China is introduced,such as lack of agricultural input,low level of agricultural modernization,excessive fertilizer use,serious damage of environment,shortage of water resources,tremendous pressure on ecological balance,insignificant economic and social benefits of agricultural production in southern Xinjiang,agriculture remaining a weak industry,agricultural economy as the economic subject of southern Xinjiang,and backward economic development of southern Xinjiang.Taking the Aksu area as an example,according to the input and output data in the years 2002-2007,input-output model about regional agriculture of the southern Xinjiang is established by principal component analysis.DPS software is used in the process of solving the model.Then,Eviews software is adopted to revise and test the model in order to analyze and evaluate the economic significance of the results obtained,and to make additional explanations of the relevant model.Since the agricultural economic output is seriously restricted in southern Xinjiang at present,the following countermeasures are put forward,such as adjusting the structure of agricultural land,improving the utilization ratio of land,increasing agricultural input,realizing agricultural modernization,rationally utilizing water resources,maintaining eco-environmental balance,enhancing the awareness of agricultural insurance,minimizing the risk and loss,taking the road of industrialization of characteristic agricultural products,and realizing the transfer of surplus labor force.

A Method to Visualize the Skeleton Industrial Structure with Input-Output Analysis and Its Application in China,Japan and USA

The paper established a double filtering method (DFM) to visualize the skeleton industrial structure (SIS) of one economy and find its evolution rule. Different with the previous researches, this method is from a new view of industrial conjunctions combined by leading sectors to depict the industrial structure. It was proved that the leading sector selected by DFM must be key sector selected by Hirschman-Rasmussen method. Applied DFM to input-output tables of China, Japan and USA and MFA to Japan, and USA, the results analysis showed that DFM could overtake the two main shortcomings of minimum flow analysis (MFA), scratch SIS of each economy with its own characteristics, visualize the general evolution rules of the industrial structure with crisscrossed conjunctions among leading sectors.

Local-scale systems input-output analysis of embodied water for the Beijing economy in 2007

Using the most detailed and recent statistics available for Beijing, a local-scale embodiment analysis on water use was conducted, employing a systems input- output analysis that integrates economic systems with natural resources data. Systems analysis for water research at the local scale is a crucial part of a systems oriented water accounting framework. To our knowledge, however, related works have not been thoroughly conducted. In this paper, a set of embodied water intensity inventory data is presented, which is applicable to both intermediate input and final demand. Also, detailed analyses of Beijing＇s embodied water use accounting are presented. The embodied water intensity of the. Water Production and Supply Industry Sector turns out to be the highest among the 42 sectors. For water embodied in final demand, the total amount is 3.48 km3, of which the water embodied in urban household consumption makes up nearly a half proportion. As a net virtual water importer, Beijing＇s water embodied in commodity trade totals 5.84× 10^8m3. As a result, in addition to improvements in technology and water use efficiency, adjustments in industrial structure and trade policies are algo of significant importance to water conservation efforts.

Embodied water analysis for Hebei Province, China by input-output modelling

With the accelerating coordinated development of the Beijing-Tianjin-Hebei region, regional eco- nomic integration is recognized as a national strategy. As water scarcity places Hebei Province in a dilemma, it is of critical importance for Hebei Province to balance water resources as well as make full use of its unique advantages in the transition to sustainable development. To our knowledge, related embodied water accounting analysis has been conducted for Beijing and Tianjin, while similar works with the focus on Hebei are not found. In this paper, using the most complete and recent statistics available for Hebei Province, the embodied water use in Hebei Province is analyzed in detail. Based on input-output analysis, it presents a complete set of systems accounting framework for water resources. In addition, a database of embodied water intensity is proposed which is applicable to both intermediate inputs and final demand. The result suggests that the total amount of embodied water in final demand is 10.62 billion m3, of which the water embodied in urban household consumption accounts for more than half. As a net embodied water importer, the water embodied in the commodity trade in Hebei Province is 17.20 billion m3. The outcome of this work implies that it is particularly urgent to adjust industrial structure and trade policies for water conservation, to upgrade technology and to improve water utilization. As a result, to relieve water shortages in Hebei Province, it is of crucial importance to regulate the balance of water use within the province, thus balancing water distribution in the various industrial sectors.

Alternative industrial carbon emissions benchmark based on input-output analysis

Some problems exist in the current carbon emissions benchmark setting systems. The primary con- sideration for industrial carbon emissions standards highly relate to direct carbon emissions （power-related emissions） and only a portion of indirect emissions are considered in the current carbon emissions accounting processes. This practice is insufficient and may cause double counting to some extent due to mixed emission sources. To better integrate and quantify direct and indirect carbon emissions, an embodied industrial carbon emissions benchmark setting method is proposed to guide the establishment of carbon emissions benchmarks based on input-output analysis. This method attempts to link direct carbon emissions with inter-industrial economic exchanges and systematically quantifies carbon emissions embodied in total product delivery chains. The purpose of this study is to design a practical new set of embodied intensity-based benchmarks for both direct and indirect carbon emissions. Beijing, at the first level of carbon emissions trading pilot schemes in China, plays a significant role in the establish- ment of these schemes and is chosen as an example in this study. The newly proposed method tends to relate emissions directly to each responsibility in a practical way through the measurement of complex production and supply chains and reduce carbon emissions from their original sources. This method is expected to be developed under uncertain internal and external contexts and is further expected to be generalized to guide the establish- ment of industrial benchmarks for carbon emissions trading schemes in China and other countries.

Inventory of CO2 emissions driven by energy consumption in Hubei Province： a time-series energy input-output analysis

Based on an input-output analysis, this paper compiles inventories of fuel-related CO2 emissions of Hubei economy in the years of 2002, 2005, and 2007. Results show that calculated total direct CO2 emissions rose from 114,462.69 kt （2002） to 196,650.31 kt （2005）, reaching 210,419.93 kt in 2007, with an average 22.50% rate of increase. Raw coal was the dominant source of the direct emissions throughout the three years. The sector of Electric Power, Heat Production, and Supply was the main direct emissions contributor, with the largest intensities observed from 2002 （1192.97 g/CNY） to 2007 （1739.15 g/ CNY）. From the industrial perspective, the secondary industry, which is characterized as manufacture of finished products, was still the pillar of the Hubei economy during this period concerned, contributing more than 80% of the total direct emissions. As a net exporter of embodied CO2 emissions in 2002 and 2007, Hubei reported net-exported emissions of 4109.00 kt and 17,871.77 kt respectively; however, Hubei was once a net importer of CO2 emissions in 2005 （2511.93 kt）. The CO2 emissions embodied in export and fixed capital formation had the two leading fractions of emissions embodied in the final use. The corresponding countermeasures, such as promoting renew- able and clean energy and properly reducing the exports of low value added and carbon-intensive products are suggestions for reducing CO2 emissions in Hubei.

Cutting CO_(2)emissions through demand side regulation:Implications from multi-regional input-output linear programming model

This study combines multi-regional inputoutput(MRIO)model with linear programming(LP)model to explore economic structure adjustment strategies for the reduction of carbon dioxide(CO_(2))emissions.A particular feature of this study is the identification of the optimal regulation sequence of final products in various regions to reduce CO_(2)emissions with the minimum loss in gross domestic product(GDP).By using China's MRIO tables 2017 with 28 regions and 42 economic sectors,results show that reduction in final demand leads to simultaneous reductions in GDP and CO_(2)emissions.Nevertheless,certain demand side regulation strategy can be adopted to lower CO_(2)emissions at the smallest loss of economic growth.Several key final products,such as metallurgy,nonmetal,metal,and chemical products,should first be regulated to reduce CO_(2)emissions at the minimum loss in GDP.Most of these key products concentrate in the coastal developed regions in China.The proposed MRIO-LP model considers the inter-relationship among various sectors and regions,and can aid policy makers in designing effective policy for industrial structure adjustment at the regional level to achieve the national environmental and economic targets.

Literature Review on the Application of Input-Output Analysis to Trade and the Environment

Production fragmentation has changed the distribution pattern of value added and thus emissions among countries.As a consequence,the gross trade statistics and territory-based emissions cannot reveal the real picture and generate misleading conclusions.In this aspect,input-output analysis,which describes the interdependence among industries and countries,becomes the suitable tool to reflect the true story and answer questions like“where is the value-added come from”and“who emits for whom”.Under this background,this paper reviews the relevant researches that use input-output analysis to study trade and its impact on the environment,from which we can also understand the development of input-output analysis over time.

The effects of international trade on Chinese carbon emissions： An empirical analysis

International trade is an important impact factor to the carbon emissions of a country As the rapid development of Chinese foreign trade since its entry into the WTO in 2002, the effects of international trade on carbon emissions of China are more and more significant. Using the recent available input-output tables of China and energy consumption data, this study estimated the effects of Chinese foreign trade on carbon emissions and the changes of the effects by analyzing the emissions embodied in trade between 2002 and 2007. The results showed a more and more significant exporting behavior of embodied carbon emissions in Chinese international trade. From 2002 to 2007, the proportion of net exported emissions and domestic exported emissions in domestic emissions increased from 18.32% to 29.79% and from 23.97% to 34.76%, respectively. In addition, about 22.10% and 32.29% of the total imported emissions were generated in processing trade in 2002 and 2007, respectively, which were imported and later exported emissions. Although, most of the sectors showed a growth trend in imported and exported emissions, sectors of electrical machinery and communication electronic equipment, chemical industry, and textile were still the biggest emission exporters, the net exported emissions of which were also the largest. For China and other developing countries, technology improvement may be the most favorable and acceptable ways to reduce carbon emissions at present stage. In the future negotiations on emissions reduction, it would be more fair and reasonable to include the carbon emissions embodied in international trade when accounting the total emissions of an economy.

What's So Special about China's Producer Services?An Input–output Analysis

In the present study, five stylized facts about China ＂s producer services are established through international, intersectoral and intertemporal comparisons based on input --output tables. First, the overall service input ratio is the lowest in all the sample economies. Second, most producer services are supplied by the traditional labor-intensive sectors. Third, manufacturing is the biggest user of producer services, and service industry is the second, while the opposite is true for most of the other sample economies. Fourth, unlike other economies, China ＂s ＂R＆D＂ is characterized more by consumer services than producer services. Fifth, China has fairly lower service input ratios in almost all the industries. The backward and forward linkages coefficients are both smaller for ＂real estate activities＂ and ＂finance and insurance. ＂＂ Policy reform should focus not only on specific producer services but also on reducing obstacles that are inhibiting the balanced development of diverse producer services that will help China to optimize its economic structure.

Are Contributions from Chinese Physicists Undercited?

Purpose:In this work,we want to examine whether or not there are some scientific fields to which contributions from Chinese scholars have been un der or over cited.Design/methodology/approach:We do so by comparing the number of received citations and the IOF of publications in each scientific field from each country.The IOF is calculated from applying the modified closed system input–output analysis(MCSIOA)to the citation network.MCSIOA is a PageRank-like algorithm which means here that citations from the more influential subfields are weighted more towards the IOF.Findings:About 40% of subfields in physics in China are undercited,meaning that their net influence ranks are higher(better)than the direct rank,while about 75% of subfields in the USA and German are undercited.Research limitations:Only APS data is analyzed in this work.The expected citation influence is assumed to be represented by the IOF,and this can be wrong.Practical implications:MCSIOA provides a measure of net influences and according to that measure.Overall,Chinese physicists’publications are more likely overcited rather than being undercited.Originality/value:The issue of under or over cited has been analyzed in this work using MCSIOA.

The Economic Contribution of Natural Resources to a State Economy: A South Carolina Case Study

The structure of state or sub-state regional economies is heavily influenced by its natural resource endowment. Input-output analysis is often used to estimate the economic contribution of various sectors to a state’s economy. We apply input-output analysis to South Carolina’s economy to estimate the contribution of natural resource-based sectors to the overall economy. The natural resource-based sectors consist of six mutually exclusive sectors: fishing, hunting, and wildlife viewing;coastal tourism;commercial fisheries;boat industry;mining;and forestry. The total economic contribution of these six natural resource-based sectors is $33.4 billion, representing 8.3% of gross state product and 8.6% of all state employment.

Does the Belt and Road Initiative Promote Value Chain Connection Between China and the Silk Road Countries?

The global value chains have become the core skeleton of the global economy.As a large-scale international cooperation initiative,the Belt and Road Initiative(BRI hereafter)may have a significant impact on the global economic landscape.In this context,the spatiotemporal pattern and evolution of the value chain connection of the Silk Road countries and whether the BRI will promote the value chain connections between China and these countries are important research questions for understanding the changing global economic landscape.This paper employs input-output analysis,network analysis and difference-in-differences based on Propensity Score Matching(PSM-DID)to conduct an in-depth quantitative study of these questions.The results show that,first,the overall value chain connection between China and the Silk Road countries has been rising since 2001.From the perspective of geographical distribution,Southeast Asia is the highest value chain connection region with China,and the growth in the central and eastern Europe is the most significant,whereas the central Asia is the lowest value connection region.From the perspective of complex network analysis,China’s position in the network of value flow among the Silk Road countries has been increasing continuously,and it has been in the lead position since 2008.Besides,the implementation of the BRI has had a significant positive influence on the overall value chain connection between China and the Silk Road countries,but this positive influence is limited to the central and eastern Europe region,whereas it is not significant in other regions.Finally,this paper suggests that to promote the development of value chain connection,the Silk Road countries need to develop more specific policies related to value chains.Policymakers need to be able to correctly identify the comparative advantages of the region and the types of value chains that are compatible with them and then find suitable partners and formulate targeted promotion policies.

Analyzing the Role of Creative Industries in National Economy of Japan: 1995-2005

The purposes of this study are 1) to get another perspective related to the role of creative industries in national economy of Japan from 1995-2005 and 2) to know the ways to improve these sectors. This study employs Input-Output (IO) analysis as a tool of analysis. More specifically, this study uses simple output multipliers and demand-pull IO quantity model. Comparison with previous study is conducted in order to achieve the first objective. Another perspective related to above role is obtained from this study, namely creative industries, using simple output multipliers method, did not have an important role in national economy of Japan in analysis period. The results also show that the patterns of total output of creative industries of Japan on future period are not identic. Nevertheless, these sectors have one similarity, namely the modification of import will decrease their total output. This phenomenon indicates that import restriction related to these sector’s products is needed.