Purpose:The study evaluates the relative roles of Domestic-Funded Enterprises(DFEs)and Foreign-Funded Enterprises(FFEs)across Chinese provinces.It further examines how industrial structures differ by ownership at both...Purpose:The study evaluates the relative roles of Domestic-Funded Enterprises(DFEs)and Foreign-Funded Enterprises(FFEs)across Chinese provinces.It further examines how industrial structures differ by ownership at both regional and national scales.Drawing on these findings,the analysis traces the geographic shift of FFEs and offers evidence-based guidance for shaping foreign investment policy.Design/methodology/approach:This study uses Inter-Country Input-Output(ICIO)and Inter-Region Input-Output(IRIO)tables to build two extended datasets:Ownership-Extended Inter-Country Input-Output(OE-ICIO)and Ownership-Extended Multi-Region Input-Output(OE-IRIO)tables.These are then combined to construct the Regionally-Ownership Dually-Extended Multi-Regional Input-Output(RODE-MRIO)table and Global Domestic and Foreign Enterprises Network(GDFEN)model to explore the industrial relocation trends of FFEs in China.Findings:The results indicate that:(1)From 2010 to 2019,FFEs in China showed an overall decline in influence,profitability,and network robustness.(2)Eastern and developed regions saw a clear retreat of FFEs,with a shift toward domestic control.Central regions and more developed regions played a transitional role.Moreover,western and less developed regions remained stable but still relied on low-end and resource-based activities.(3)FFEs’influence has been gradually shifting towards less-developed central and western provinces due to rising labor costs and stricter environmental regulations.Research limitations:First,only general policy recommendations are proposed,without exploring the design of specific policy instruments.Second,the significant impact of recent trade measures on the behavior of FFEs has not been considered.Third,further research is needed to deepen the analysis by comparing regional ownership dynamics in China with those in other major economies.Practical implications:This research provides valuable insights for policymakers aiming to enhance regional economic development and improve China’s position within Global Value Chains(GVCs).Originality/value:The originality of this paper lies in its development of a new model that combines geographic,sectoral,and ownership dimensions.This model allows for a clearer analysis of the roles of foreign and DFEs in China’s regional economy.It offers insights into industrial transfer trends within global value chains and provides a framework for analyzing and forecasting future shifts.展开更多
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. Prese...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.展开更多
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 ...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.展开更多
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...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.展开更多
Wu et al recently applied multi-region 16S rRNA sequencing to characterize the gastric cancer microbiome,demonstrating improved taxonomic resolution and detection sensitivity over conventional single-region approaches...Wu et al recently applied multi-region 16S rRNA sequencing to characterize the gastric cancer microbiome,demonstrating improved taxonomic resolution and detection sensitivity over conventional single-region approaches.While the study represents a valuable methodological step forward,it remains limited by singlecenter design,lack of quantitative calibration,and insufficient control for contamination and inter-laboratory variability.This editorial critically appraises these methodological gaps and emphasizes that future efforts must focus on harmonized,consensus-driven workflows to ensure reproducibility and clinical reliability.The translational potential of multi-region 16S lies in moving from descriptive microbial profiling to actionable clinical integration,particularly for recurrence prediction,treatment-response monitoring,and perioperative complication risk assessment.By addressing these methodological,economic,and ethical challenges,the field can advance toward evidence-based and clinically deployable microbiome-guided precision oncology.展开更多
BACKGROUND The gastric microbiome is closely associated with gastric cancer,and single-region 16S rRNA sequencing has limitations in analyzing its characteristics,necessitating the search for a better sequencing metho...BACKGROUND The gastric microbiome is closely associated with gastric cancer,and single-region 16S rRNA sequencing has limitations in analyzing its characteristics,necessitating the search for a better sequencing method.AIM To evaluate the effectiveness of multi-region 16S rRNA gene sequencing in studying the microbiome of gastric cancer tissues.METHODS Patients with gastric cancer(n=118)who underwent surgery at Liyang People's Hospital from January 2022 to December 2024 were enrolled.Fifty-nine paraffinembedded and 59 fresh tissue samples were obtained.The ZymoBIOMICSTM microbial community standard and Escherichia coli ATCC 25922 were used as positive controls.Multi-region and single-region 16S rRNA gene sequencing were performed.Species identification,detection rates at varying microbial abundances,operational taxonomic unit(OTU)counts,and alpha diversity indices in gastric cancer tissues were compared between the two methods.RESULTS Multi-region 16S rRNA sequencing identified more species(eight species and eight genera)in the positive controls compared with single-region sequencing(one species and six genera).Detection rates at concentrations of 103,102,and 10 CFU/mg were significantly higher using multi-region sequencing(P<0.05).Multi-region sequencing also revealed significantly higher OTU counts and alpha diversity indices(Shannon,Simpson,and Chao1)in gastric cancer tissues(P<0.05).CONCLUSION Compared with single-region sequencing,multi-region 16S rRNA gene sequencing demonstrates superior species resolution and detection sensitivity,providing a more comprehensive profile of microbial diversity in gastric cancer tissues.展开更多
The influence of Impedance Boundary Condition (IBC) on transonic compressors is investigated. A systematic input–output analytical framework is developed, which treats the nonlinearities as unknown forcing terms. The...The influence of Impedance Boundary Condition (IBC) on transonic compressors is investigated. A systematic input–output analytical framework is developed, which treats the nonlinearities as unknown forcing terms. The framework is validated through the experiments of rotating inlet distortion within a low-speed compressor. The input–output method is subsequently applied to transonic compressors, including NASA Rotor37 and Stage35, wherein impedance optimization is studied along with the exploration of its fundamental mechanisms. The IBC is employed to model the effect of Casing Treatment (CT). The optimal complex impedance values are determined through predicted results and tested across a range of circumferential modes and forcing frequencies. The IBC significantly reduces the energy and Reynolds stress gain, notably at the first-order circumferential mode and within the Rotor Rotating Frequency (RRF) range. Output modes reveal that transonic compressors with fine-tuned impedance values exhibit a more confined perturbation distribution and redistribute the perturbations compared to the uncontrolled case. Additionally, the roles of resistance and reactance are elucidated through input–output analysis, and resistance determines the energy transfer direction between flow and pressure waves and modulates the amplitude, whereas reactance modifies the phase relationships and attenuates the perturbations.展开更多
A class of nonlinear and continuous type Leontief model and its corresponding conditional input-output equation are introduced, and two basic problems under the so called positive or negative boundary assumption are p...A class of nonlinear and continuous type Leontief model and its corresponding conditional input-output equation are introduced, and two basic problems under the so called positive or negative boundary assumption are presented. By approaches of nonlinear analysis some solvability results of this equation and continuous perturbation properties of the relative solution sets are obtained, and some economic significance are illustrated by the remark.展开更多
Global production networks have become the most important organizational platforms for coordinating international production activities,and their evolution patterns profoundly affect value distribution across the worl...Global production networks have become the most important organizational platforms for coordinating international production activities,and their evolution patterns profoundly affect value distribution across the world.In this study,we shall firstly carry out an in-depth quantitative research to analyze the patterns and evolution of global production networks,using a long time-sequenced multi-region input-output table and the network analysis approach.Then based on the method of value-added decomposition,we will develop an index system to measure the degree of participation of regions in global production networks.Finally,we will try to identify the factors affecting the degree of participation of countries in global production networks by constructing a regression model.The results show that from 1995 to 2015,the evolution of global production networks measured by input-output linkages experienced four stages:expansion,contraction,re-expansion,and re-contraction.In addition,the core communities of global production networks evolved from two major production communities(Europe and the Americas)to three pillars(Europe,Americas,and Asia)while more segmented communities are mainly affected by geographical proximity.The latter consists of European,North American,South American,African and Asian communities.The evolution of the global production network pattern primarily manifests as a process of cooperation strengthening or weakening among communities,based on changes in the external environment and the need for individual development strategies.Meanwhile,the United States,Germany,and the United Kingdom have consistently ranked among the top entities in global production networks,whereas China,Russia,and Southeast Asia have the fastest rises in ranking.In addition,government efficiency,resources endowment,infrastructure conditions and technology levels play important roles in the participation in global production networks.展开更多
Based on input-output approach, the robust stability and stabilization problems for uncertain singular systems with time-varying delays are investigated. The parameter uncertainties are assumed to be norm-bounded and ...Based on input-output approach, the robust stability and stabilization problems for uncertain singular systems with time-varying delays are investigated. The parameter uncertainties are assumed to be norm-bounded and the time-varying delays include both discrete delay and distributed delay. By introducing a new input-output model, the time-delay system is embedded in a family of systems with a forward system without time delay and a dynamical feedback uncertainty. A sufficient and necessary condition, which guarantees the system regular, impulse-free and stable for all admissible uncertainties, is obtained. Based on the strict linear matrix inequality, the desired robust state feedback controller is also obtained. Finally, a numerical example is provided to demonstrate the application of the proposed method.展开更多
Industrial wastewater discharge in China is increasing with the country′s economic development and it is worthy of concern. The discharge is primarily relevant to the direct discharge coefficient of each sector of th...Industrial wastewater discharge in China is increasing with the country′s economic development and it is worthy of concern. The discharge is primarily relevant to the direct discharge coefficient of each sector of the economy, its direct input coefficient and the final demand in input-output models. In this study, we calculated the sensitivity of the reduction in the Chinese industrial wastewater discharge using the direct input coefficients based on the theory of error-transmission in an input-output framework. Using input-output models, we calculated the direct and total industrial wastewater discharge coefficients. Analysis of 2007 input-output data of 30 sectors of the Chinese economy and of 30 provincial regions of China indicates that by lowering their direct input coefficients, the manufacturers of textiles, paper and paper products, chemical products, smelting and metal pressing, telecommunication equipment, computers and other electronic equipment will significantly reduce their amounts of industrial wastewater discharge. By lowering intra-provincial direct input coefficients to industrial sectors themselves of Jiangsu, Shandong and Zhejiang, there will be a significant reduction in industrial wastewater discharge for the country as a whole. Investment in production technology and improvement in organizational efficiency in these sectors and in these provinces can help lessen the direct input coefficients, thereby effectively achieving a reduction in industrial wastewater discharge in China via industrial restructuring.展开更多
In this letter,a multiphase level set approach unifying region and boundary-based infor-mation for multi-region segmentation of Synthetic Aperture Radar(SAR)image is presented.Anenergy functional that is applicable fo...In this letter,a multiphase level set approach unifying region and boundary-based infor-mation for multi-region segmentation of Synthetic Aperture Radar(SAR)image is presented.Anenergy functional that is applicable for SAR image segmentation is defined.It consists of two termsdescribing the local statistic characteristics and the gradient characteristics of SAR image respectively.A multiphase level set model that explicitly describes the different regions in one image is proposed.The purpose of such a multiphase model is not only to simplify the way of denoting multi-region by levelset but also to guarantee the accuracy of segmentation.According to the presented multiphase model,the curve evolution equations with respect to edge curves are deduced.The multi-region segmentationis implemented by the numeric solution of the partial differential equations.The performance of theapproach is verified by both simulation and real SAR images.The experiments show that the proposedalgorithm reduces the speckle effect on segmentation and increases the boundary alignment accuracy,thus correctly divides the multi-region SAR image into different homogenous regions.展开更多
An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current(HVAC/HVDC) power system is presented to study power system stability. It is w...An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current(HVAC/HVDC) power system is presented to study power system stability. It is well known that appropriate coupling of inputs-outputs signals in the multivariable HVDC-HVAC system can improve the performance of designed supplemetary controller. In this work, different analysis techniques are used to measure controllability and observability of electromechanical oscillation mode. Also inputs–outputs interactions are considered and suggestions are drawn to select the best signal pair through the system inputs-outputs. In addition, a supplementary online adaptive controller for nonlinear HVDC to damp low frequency oscillations in a weakly connected system is proposed. The results obtained using MATLAB software show that the best output-input for damping controller design is rotor speed deviation as out put and phase angle of rectifier as in put. Also response of system equipped with adaptive damping controller based on HVDC system has appropriate performance when it is faced with faults and disturbance.展开更多
Energy has laid material foundation for human society during its development. Meanwhile, any change of price in the energy industry may influence social production and people’s life at all levels via an input-output ...Energy has laid material foundation for human society during its development. Meanwhile, any change of price in the energy industry may influence social production and people’s life at all levels via an input-output mechanism under which the change related to energy is surely transmitted to other industries. The price change thus incurred in all industries may adversely affect the realization of macroeconomic objective-maintaining prices at a stable level. It is, therefore, needed to conduct an empirical research related to the impact of price change in energy industry on that in other industries. According to the data coming from “China’s 2015 Input-Output Extension Table (42 Departments)” and four hypothetical basis, this article focuses on four energy sectors and analyzes how deeply the price change of them, by use of input-output model, affects that of other industrial products under five conditions where each of their price rises by 10% individually or simultaneously, and why such an influence occurs. The results show that the price rising of the energies in question leads to an upward growth in the prices of other industrial products, especially when their prices go up simultaneously. Besides, the price increase in the four energy sectors doesn’t influence other industries in an accumulation form but actually leads to a rollback in some of other industries. It is recommended to adopt diversified pricing strategies for different energy products, thus maximizing the value of each specific energy, and meanwhile achieving the goals of energy consumption reduction and price equilibrium.展开更多
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,solvabili...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.展开更多
On the basis of input-output table of Henan Province and China in 2007,this paper advances a simple method of constructing two-region input-output model using MRIO model,to research the economic link between the indus...On the basis of input-output table of Henan Province and China in 2007,this paper advances a simple method of constructing two-region input-output model using MRIO model,to research the economic link between the industries of Henan Province and the industries of other regions.I summarize the characteristics of this method based on this as follows:when researching inter-regional economic link,the multi-region or two-region input-output model has prominent superiority,and we can conduct preliminary estimation on the multi-region input-output model using location quotient approach.展开更多
Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the ...Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the index of＂ weighted value-added productivity ＂ by compiling non-competitive input-output tables which distinguish high-tech industries from traditional industries. The new method effectively avoids ＂statistical illusion＂ which stems from a biased focus on gross exports under intra-product specialization. The empirical study shows that since 1995, the status of China＇s high-tech industries has grown quickly as a result of enhanced labor productivity, but still lags behind those of major developed countries. In addition, the study also suggests that the status of China＇s high-tech industries has been over-estimated using the traditional gross export statistical method.展开更多
The paper assesses the economic impacts of the natural forest protection program （NFPP） on the economy of Yunnan Province, China.in terms of gross output, value added,employment, and household income. An inputoutput...The paper assesses the economic impacts of the natural forest protection program （NFPP） on the economy of Yunnan Province, China.in terms of gross output, value added,employment, and household income. An inputoutput model is developed to estimate NFPP＇s economic impacts by means of backward linkages in the forestry sector and logging and haudage sector. It is found than the NFPP has positive impacts on gross output, value added and houschold income in the initial year, but has significantly negative impacts on the regional economy in the following years as the investment decreases.展开更多
To promote sustainability, it has become increasingly vital to properly account material and energy flows in industrial production processes. Therefore, a generic process-level input-output （IO） model was developed ...To promote sustainability, it has become increasingly vital to properly account material and energy flows in industrial production processes. Therefore, a generic process-level input-output （IO） model was developed to provide an integrated energy （material） accounting and analysis approach for industrial production processes. By extending the existing processlevel IO models, the production, usage, export and loss of by-products were explicitly considered in the proposed IO model. Moreover, the by-products allocation procedures were incorporated into the proposed IO model to reflect individual contributions of products to energy consumption. Finally, the proposed model enabled calculating embodied energy of main products and total energy consumption under hierarchical accounting scope. Plant managers, energy management consultants, governmental officials and academic researchers could use this input-output model to account material and energy flows, thus calculating energy consumption indicators of a production process with their specific system boundary requirements. The accounting results could be further used for energy labeling, identifying bottlenecks of production activities, evaluating industrial symbiosis effects, improving materials and energy utilization efficiency, etc. The model could also be used as a planning tool to determine the effect that a particular change of technology and supply chains may have on the industrial production processes. The proposed model was tested and applied in a real integrated steel mill, which also provided the reference results for related researches. At last, some concepts, computational issues and limi- tations of the proposed model were discussed.展开更多
基金supported by National Natural Science Foundation of China(72471007)Beijing Municipal Social Science Foundation Planning Project(23ZGB005)Humanities and Social Science Foundation of Ministry of Education of the People's Republic of China(Grant No.23YJAZH041).
文摘Purpose:The study evaluates the relative roles of Domestic-Funded Enterprises(DFEs)and Foreign-Funded Enterprises(FFEs)across Chinese provinces.It further examines how industrial structures differ by ownership at both regional and national scales.Drawing on these findings,the analysis traces the geographic shift of FFEs and offers evidence-based guidance for shaping foreign investment policy.Design/methodology/approach:This study uses Inter-Country Input-Output(ICIO)and Inter-Region Input-Output(IRIO)tables to build two extended datasets:Ownership-Extended Inter-Country Input-Output(OE-ICIO)and Ownership-Extended Multi-Region Input-Output(OE-IRIO)tables.These are then combined to construct the Regionally-Ownership Dually-Extended Multi-Regional Input-Output(RODE-MRIO)table and Global Domestic and Foreign Enterprises Network(GDFEN)model to explore the industrial relocation trends of FFEs in China.Findings:The results indicate that:(1)From 2010 to 2019,FFEs in China showed an overall decline in influence,profitability,and network robustness.(2)Eastern and developed regions saw a clear retreat of FFEs,with a shift toward domestic control.Central regions and more developed regions played a transitional role.Moreover,western and less developed regions remained stable but still relied on low-end and resource-based activities.(3)FFEs’influence has been gradually shifting towards less-developed central and western provinces due to rising labor costs and stricter environmental regulations.Research limitations:First,only general policy recommendations are proposed,without exploring the design of specific policy instruments.Second,the significant impact of recent trade measures on the behavior of FFEs has not been considered.Third,further research is needed to deepen the analysis by comparing regional ownership dynamics in China with those in other major economies.Practical implications:This research provides valuable insights for policymakers aiming to enhance regional economic development and improve China’s position within Global Value Chains(GVCs).Originality/value:The originality of this paper lies in its development of a new model that combines geographic,sectoral,and ownership dimensions.This model allows for a clearer analysis of the roles of foreign and DFEs in China’s regional economy.It offers insights into industrial transfer trends within global value chains and provides a framework for analyzing and forecasting future shifts.
文摘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.
基金This work is supported by the National Research Foundation,Prime Ministers Office,Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)programme,and by the Energy and Environmental Sustainability for Megacities(E2S2)Phase II program of the National Research Foundation,Prime Ministers Office,Singapore under its CREATE programme。
文摘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.
基金This study has been supported by the National Natural Science Foundation of China （Grant No. 71403270）, the Foundation of State Key Laboratory of Coal Resources and Safe Mining, China University of Mining ＆ Technology （Grant No. SKLCRSM14KFA03）, and the Specialized Research Fund for the Doctoral Program of Higher Education of China （Grant No. 20120023120002）.
文摘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.
文摘Wu et al recently applied multi-region 16S rRNA sequencing to characterize the gastric cancer microbiome,demonstrating improved taxonomic resolution and detection sensitivity over conventional single-region approaches.While the study represents a valuable methodological step forward,it remains limited by singlecenter design,lack of quantitative calibration,and insufficient control for contamination and inter-laboratory variability.This editorial critically appraises these methodological gaps and emphasizes that future efforts must focus on harmonized,consensus-driven workflows to ensure reproducibility and clinical reliability.The translational potential of multi-region 16S lies in moving from descriptive microbial profiling to actionable clinical integration,particularly for recurrence prediction,treatment-response monitoring,and perioperative complication risk assessment.By addressing these methodological,economic,and ethical challenges,the field can advance toward evidence-based and clinically deployable microbiome-guided precision oncology.
基金Supported by Liyang People's Hospital Technology Project,No.2021YJKT0013。
文摘BACKGROUND The gastric microbiome is closely associated with gastric cancer,and single-region 16S rRNA sequencing has limitations in analyzing its characteristics,necessitating the search for a better sequencing method.AIM To evaluate the effectiveness of multi-region 16S rRNA gene sequencing in studying the microbiome of gastric cancer tissues.METHODS Patients with gastric cancer(n=118)who underwent surgery at Liyang People's Hospital from January 2022 to December 2024 were enrolled.Fifty-nine paraffinembedded and 59 fresh tissue samples were obtained.The ZymoBIOMICSTM microbial community standard and Escherichia coli ATCC 25922 were used as positive controls.Multi-region and single-region 16S rRNA gene sequencing were performed.Species identification,detection rates at varying microbial abundances,operational taxonomic unit(OTU)counts,and alpha diversity indices in gastric cancer tissues were compared between the two methods.RESULTS Multi-region 16S rRNA sequencing identified more species(eight species and eight genera)in the positive controls compared with single-region sequencing(one species and six genera).Detection rates at concentrations of 103,102,and 10 CFU/mg were significantly higher using multi-region sequencing(P<0.05).Multi-region sequencing also revealed significantly higher OTU counts and alpha diversity indices(Shannon,Simpson,and Chao1)in gastric cancer tissues(P<0.05).CONCLUSION Compared with single-region sequencing,multi-region 16S rRNA gene sequencing demonstrates superior species resolution and detection sensitivity,providing a more comprehensive profile of microbial diversity in gastric cancer tissues.
基金co-supported by the National Natural Science Foundation of China(Nos.52325602,52306036 and 52306035)the National Science and Technology Major Project of China(No.Y2022-II-0003-0006 and Y2022-II-0002-0005)+1 种基金the project funded by China Postdoctoral Science Foundation(No.2022M720346)supported by the Key Laboratory of Pre-Research Management Centre of China(No.6142702200101).
文摘The influence of Impedance Boundary Condition (IBC) on transonic compressors is investigated. A systematic input–output analytical framework is developed, which treats the nonlinearities as unknown forcing terms. The framework is validated through the experiments of rotating inlet distortion within a low-speed compressor. The input–output method is subsequently applied to transonic compressors, including NASA Rotor37 and Stage35, wherein impedance optimization is studied along with the exploration of its fundamental mechanisms. The IBC is employed to model the effect of Casing Treatment (CT). The optimal complex impedance values are determined through predicted results and tested across a range of circumferential modes and forcing frequencies. The IBC significantly reduces the energy and Reynolds stress gain, notably at the first-order circumferential mode and within the Rotor Rotating Frequency (RRF) range. Output modes reveal that transonic compressors with fine-tuned impedance values exhibit a more confined perturbation distribution and redistribute the perturbations compared to the uncontrolled case. Additionally, the roles of resistance and reactance are elucidated through input–output analysis, and resistance determines the energy transfer direction between flow and pressure waves and modulates the amplitude, whereas reactance modifies the phase relationships and attenuates the perturbations.
文摘A class of nonlinear and continuous type Leontief model and its corresponding conditional input-output equation are introduced, and two basic problems under the so called positive or negative boundary assumption are presented. By approaches of nonlinear analysis some solvability results of this equation and continuous perturbation properties of the relative solution sets are obtained, and some economic significance are illustrated by the remark.
基金Strategic Priority Research Program of Chinese Academy of Sciences,No.XDA20080000National Natural Science Foundation of China,No.41901154。
文摘Global production networks have become the most important organizational platforms for coordinating international production activities,and their evolution patterns profoundly affect value distribution across the world.In this study,we shall firstly carry out an in-depth quantitative research to analyze the patterns and evolution of global production networks,using a long time-sequenced multi-region input-output table and the network analysis approach.Then based on the method of value-added decomposition,we will develop an index system to measure the degree of participation of regions in global production networks.Finally,we will try to identify the factors affecting the degree of participation of countries in global production networks by constructing a regression model.The results show that from 1995 to 2015,the evolution of global production networks measured by input-output linkages experienced four stages:expansion,contraction,re-expansion,and re-contraction.In addition,the core communities of global production networks evolved from two major production communities(Europe and the Americas)to three pillars(Europe,Americas,and Asia)while more segmented communities are mainly affected by geographical proximity.The latter consists of European,North American,South American,African and Asian communities.The evolution of the global production network pattern primarily manifests as a process of cooperation strengthening or weakening among communities,based on changes in the external environment and the need for individual development strategies.Meanwhile,the United States,Germany,and the United Kingdom have consistently ranked among the top entities in global production networks,whereas China,Russia,and Southeast Asia have the fastest rises in ranking.In addition,government efficiency,resources endowment,infrastructure conditions and technology levels play important roles in the participation in global production networks.
基金Project supported by the Key Program of the National NaturalScience Foundation of China (No. 60434020)the National Natural Science Foundation of China (No. 60604003)
文摘Based on input-output approach, the robust stability and stabilization problems for uncertain singular systems with time-varying delays are investigated. The parameter uncertainties are assumed to be norm-bounded and the time-varying delays include both discrete delay and distributed delay. By introducing a new input-output model, the time-delay system is embedded in a family of systems with a forward system without time delay and a dynamical feedback uncertainty. A sufficient and necessary condition, which guarantees the system regular, impulse-free and stable for all admissible uncertainties, is obtained. Based on the strict linear matrix inequality, the desired robust state feedback controller is also obtained. Finally, a numerical example is provided to demonstrate the application of the proposed method.
基金Under the auspices of Key Program of Chinese Academy of Sciences(No.KZZD-EW-06-02)National Natural Science Foundation of China(No.41201129)Humanities and Social Science Research Planning Fund,Ministry of Education of China(No.13YJAZH042)
文摘Industrial wastewater discharge in China is increasing with the country′s economic development and it is worthy of concern. The discharge is primarily relevant to the direct discharge coefficient of each sector of the economy, its direct input coefficient and the final demand in input-output models. In this study, we calculated the sensitivity of the reduction in the Chinese industrial wastewater discharge using the direct input coefficients based on the theory of error-transmission in an input-output framework. Using input-output models, we calculated the direct and total industrial wastewater discharge coefficients. Analysis of 2007 input-output data of 30 sectors of the Chinese economy and of 30 provincial regions of China indicates that by lowering their direct input coefficients, the manufacturers of textiles, paper and paper products, chemical products, smelting and metal pressing, telecommunication equipment, computers and other electronic equipment will significantly reduce their amounts of industrial wastewater discharge. By lowering intra-provincial direct input coefficients to industrial sectors themselves of Jiangsu, Shandong and Zhejiang, there will be a significant reduction in industrial wastewater discharge for the country as a whole. Investment in production technology and improvement in organizational efficiency in these sectors and in these provinces can help lessen the direct input coefficients, thereby effectively achieving a reduction in industrial wastewater discharge in China via industrial restructuring.
文摘In this letter,a multiphase level set approach unifying region and boundary-based infor-mation for multi-region segmentation of Synthetic Aperture Radar(SAR)image is presented.Anenergy functional that is applicable for SAR image segmentation is defined.It consists of two termsdescribing the local statistic characteristics and the gradient characteristics of SAR image respectively.A multiphase level set model that explicitly describes the different regions in one image is proposed.The purpose of such a multiphase model is not only to simplify the way of denoting multi-region by levelset but also to guarantee the accuracy of segmentation.According to the presented multiphase model,the curve evolution equations with respect to edge curves are deduced.The multi-region segmentationis implemented by the numeric solution of the partial differential equations.The performance of theapproach is verified by both simulation and real SAR images.The experiments show that the proposedalgorithm reduces the speckle effect on segmentation and increases the boundary alignment accuracy,thus correctly divides the multi-region SAR image into different homogenous regions.
文摘An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current(HVAC/HVDC) power system is presented to study power system stability. It is well known that appropriate coupling of inputs-outputs signals in the multivariable HVDC-HVAC system can improve the performance of designed supplemetary controller. In this work, different analysis techniques are used to measure controllability and observability of electromechanical oscillation mode. Also inputs–outputs interactions are considered and suggestions are drawn to select the best signal pair through the system inputs-outputs. In addition, a supplementary online adaptive controller for nonlinear HVDC to damp low frequency oscillations in a weakly connected system is proposed. The results obtained using MATLAB software show that the best output-input for damping controller design is rotor speed deviation as out put and phase angle of rectifier as in put. Also response of system equipped with adaptive damping controller based on HVDC system has appropriate performance when it is faced with faults and disturbance.
文摘Energy has laid material foundation for human society during its development. Meanwhile, any change of price in the energy industry may influence social production and people’s life at all levels via an input-output mechanism under which the change related to energy is surely transmitted to other industries. The price change thus incurred in all industries may adversely affect the realization of macroeconomic objective-maintaining prices at a stable level. It is, therefore, needed to conduct an empirical research related to the impact of price change in energy industry on that in other industries. According to the data coming from “China’s 2015 Input-Output Extension Table (42 Departments)” and four hypothetical basis, this article focuses on four energy sectors and analyzes how deeply the price change of them, by use of input-output model, affects that of other industrial products under five conditions where each of their price rises by 10% individually or simultaneously, and why such an influence occurs. The results show that the price rising of the energies in question leads to an upward growth in the prices of other industrial products, especially when their prices go up simultaneously. Besides, the price increase in the four energy sectors doesn’t influence other industries in an accumulation form but actually leads to a rollback in some of other industries. It is recommended to adopt diversified pricing strategies for different energy products, thus maximizing the value of each specific energy, and meanwhile achieving the goals of energy consumption reduction and price equilibrium.
文摘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.
基金Supported by Project of Henan Provincial Department of Science and Technology(112400410017)Project of Henan Provincial Department of Education(2010-QN-008)
文摘On the basis of input-output table of Henan Province and China in 2007,this paper advances a simple method of constructing two-region input-output model using MRIO model,to research the economic link between the industries of Henan Province and the industries of other regions.I summarize the characteristics of this method based on this as follows:when researching inter-regional economic link,the multi-region or two-region input-output model has prominent superiority,and we can conduct preliminary estimation on the multi-region input-output model using location quotient approach.
文摘Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the index of＂ weighted value-added productivity ＂ by compiling non-competitive input-output tables which distinguish high-tech industries from traditional industries. The new method effectively avoids ＂statistical illusion＂ which stems from a biased focus on gross exports under intra-product specialization. The empirical study shows that since 1995, the status of China＇s high-tech industries has grown quickly as a result of enhanced labor productivity, but still lags behind those of major developed countries. In addition, the study also suggests that the status of China＇s high-tech industries has been over-estimated using the traditional gross export statistical method.
文摘The paper assesses the economic impacts of the natural forest protection program （NFPP） on the economy of Yunnan Province, China.in terms of gross output, value added,employment, and household income. An inputoutput model is developed to estimate NFPP＇s economic impacts by means of backward linkages in the forestry sector and logging and haudage sector. It is found than the NFPP has positive impacts on gross output, value added and houschold income in the initial year, but has significantly negative impacts on the regional economy in the following years as the investment decreases.
文摘To promote sustainability, it has become increasingly vital to properly account material and energy flows in industrial production processes. Therefore, a generic process-level input-output （IO） model was developed to provide an integrated energy （material） accounting and analysis approach for industrial production processes. By extending the existing processlevel IO models, the production, usage, export and loss of by-products were explicitly considered in the proposed IO model. Moreover, the by-products allocation procedures were incorporated into the proposed IO model to reflect individual contributions of products to energy consumption. Finally, the proposed model enabled calculating embodied energy of main products and total energy consumption under hierarchical accounting scope. Plant managers, energy management consultants, governmental officials and academic researchers could use this input-output model to account material and energy flows, thus calculating energy consumption indicators of a production process with their specific system boundary requirements. The accounting results could be further used for energy labeling, identifying bottlenecks of production activities, evaluating industrial symbiosis effects, improving materials and energy utilization efficiency, etc. The model could also be used as a planning tool to determine the effect that a particular change of technology and supply chains may have on the industrial production processes. The proposed model was tested and applied in a real integrated steel mill, which also provided the reference results for related researches. At last, some concepts, computational issues and limi- tations of the proposed model were discussed.
