Input-output Model Research Articles

Water Footprint Flow and Vulnerability of China’s Provincial Energy Sector

Water and energy are mutually reinforcing elements in production and consumption activities, forming an inseparable relationship. This study, conducted at the provincial level, investigates the intricate connections between energy water footprint flow, water shortage, and water pollution. It aims to elucidate the vulnerability of provincial energy sectors to water use, fostering regional coordinated management for sustainable energy and water development. Utilizing a multi-regional input–output model, the research analyzes both the quantity and quality of water resources. The water footprint of China’s provincial energy sector is quantified and scrutinized. Furthermore, an evaluation index system is constructed based on the water footprint concept. The entropy weight TOPSIS method is then applied to assess the vulnerability of inter-provincial energy sector water footprints. The key findings are as follows: (1) The energy water footprint has shifted from water resource-deficient areas, such as the northwest, North China, and northeast, to economically developed regions with relatively abundant water resources, such as East China and South China. This reveals that the transfer of water footprints in economic activities does not entirely alleviate water shortages in China and may even exacerbate shortages in certain water-deficient areas. (2) The graywater footprint of the energy sector is significantly larger than the blue water footprint and water shortage footprint. (3) The production and supply departments of power and heat emerge as the largest contributors to the transfer of energy and water footprints from water shortage areas to water-rich areas, followed by coal mining and dressing departments. (4) Top 10 Vulnerable Provinces: Tibet, Zhejiang, Ningxia, Tianjin, Jiangsu, Henan, Hunan, Beijing, Chongqing, and Hebei are identified as the top 10 provinces vulnerable to water footprints in the energy sector. This vulnerability closely correlates with the energy sector’s dependence on water footprints and production leverage. Recommendations include optimizing the energy mix and establishing stable external water footprint supply channels for provinces with high water footprint dependence. Provinces with high production leverage are advised to accelerate innovation and application of water-saving technologies in key energy sectors, increase the utilization of clean energy, and enhance resource recycling. National government departments should focus on controlling and reducing water pollutants in the energy sector across regions, addressing water shortages by purifying water bodies and improving water quality.

Sectoral composition, export trade partners and value added: An input-output analysis for Brazil and Mexico Patieene Alves-Passoni

Sectoral composition, export trade partners and value added: An input-output analysis for Brazil and Mexico Patieene Alves-Passoni

Bibliometric Analysis of Research Progress and Trends on Carbon Emission Responsibility Accounting

The severity of global climate change is a pressing issue, and carbon emission reduction requires collaboration between producers and consumers. Carbon emission responsibility accounting is critical for distributing the tasks associated with carbon reduction. To examine the current research status and future development trends of carbon emission responsibility accounting, we used the scientific quantitative knowledge graph method and CiteSpace software. We analyzed the data from 4089 studies retrieved from the Web of Science and China National Knowledge Infrastructure databases, focusing on various aspects such as the number of published papers, subjects, research focuses, research content, and future research directions. In 2022, the number of publications was 657. The largest number of published carbon emission responsibility accounting documents was published by scholars from China: there were 708 published articles, 35% of the 2002 articles published in the Web of Science. The reason may be that China, as a developing country, produces more carbon emissions. In order to actively shoulder international responsibilities and slow down global warming, China strengthened its research on carbon emission responsibility, the basic work on carbon emission reduction. This was followed by the United States and England. England showed high levels of research collaboration. “Environmental science” was one of the main subjects in the Web of Science database, representing 43.96% of total publications. Research focuses included input–output analyses and implied carbon export trade. This study summarizes the literature on carbon emission responsibility accounting in terms of research perspectives, accounting principles, and accounting methods. In the future, the accounting of carbon emission responsibility at the city level considering the carbon emission responsibility sharing method including three or more shared parties and accounting for the carbon emission responsibility between the upstream and downstream from the perspective of the industrial chain can be studied. The findings of this study provide guidance to researchers and policymakers for the progression and enhancement of carbon emission responsibility accounting.

Quantifying the teleconnections of carbon storage in construction land and its socioeconomic driving forces in Guangdong Province

The development of regional trade has fostered teleconnections in land resource across various regions, emerging as a pivotal influence on the expansion of construction land. However, the potential consequences of regional trade on carbon storage associated with construction land remain largely unquantified. Therefore, this study zeroes in on Guangdong Province as the focal point, employing China's multiregional input-output model to quantify interregional teleconnections and delineate changes in carbon storage. Through meticulous analysis, it seeks to pinpoint the catalysts driving these alterations in teleconnections. By delving into the latest teleconnections within Guangdong, the study unveils the ramifications of the province's trade scale and structure with other provinces on carbon storage, thereby identifying imperative avenues for carbon storage preservation. The findings underscore that during the study period, the expansion of construction land in Guangdong Province precipitated a notable loss of land carbon storage, amounting to 2.6 Tg C, primarily sourced from forests and arable land. Concurrently, the total carbon flow surged by 20.77 Tg C, propelled by a 4.63 Tg C influx and a 16.05 Tg C outflow, resulting in a net inflow decrease of 11.51 Tg C. This delineates the influence of external forces on carbon storage within Guangdong Province, with the surge primarily attributed to heightened external demand, notably for construction land. Nevertheless, technological advancements have partially alleviated the impact of this demand surge on carbon storage. The outcomes of this study underscore the pivotal role of external linkages in shaping carbon storage dynamics and furnish invaluable insights for steering future regional endeavors towards carbon neutrality objectives.

Life Cycle CO2 Emissions Analysis of a High-Tech Greenhouse Horticulture Utilizing Wood Chips for Heating in Japan

High-tech greenhouse horticulture offers efficient crop cultivation that is unaffected by outdoor climate. However, compared to conventional cultivation systems, energy requirements, such as greenhouse heating and control, are larger, and concerns about the associated increase in CO2 emissions exist. Although several previous studies have analyzed CO2 emissions from high-tech greenhouse horticulture, few have covered the entire life cycle. This study aimed to analyze CO2 emissions from high-tech greenhouse horticulture for tomatoes in Japan across the entire life cycle. A hybrid method combining process and input–output analyses was used to estimate life cycle CO2 (LC-CO2) emissions. The emission reduction potential of replacing liquefied petroleum gas (LPG) for greenhouse heating with wood chips was also examined. The results show that LC-CO2 emissions were estimated to be 3.67 kg-CO2 per 1 kg of tomato, 55.6% of which came from the production and combustion of LPG for greenhouse heating. The substitution of LPG with wood chips has the potential to reduce LC-CO2 emissions by up to 49.1%. However, the improved LC-CO2 emissions are still higher than those of conventional cultivation systems; thus, implementing additional measures to reduce LC-CO2 emissions is crucial.

The impacts of technological change policies on water uses and virtual water trade in water-constrained settings

Virtual water trade, which underlines the importance of inter-regional commodity transactions for enhancing water management, has often been recommended as an alternative to technological advancements in addressing water scarcity and increasing water savings in dry regions. Sectoral adjustment policies that focus on enhancing the productivity of specific sectors therefore should prioritize sectors with high growth impact potential but low virtual water demand. However, the diverse understanding of the concept and differing assessment techniques employed by various research communities complicate the debates surrounding the policy relevance of the virtual water trade. This study proposes a novel and integrated approach to evaluating virtual water content and flows endogenously, leveraging the advantages of Input-Output and Computable General Equilibrium (CGE) modeling methods. The quantification of the method is exemplified in the case of Uzbekistan (Central Asia), where water is a limited yet essential resource for sustainable economy and environmental systems. Specifically, this study examines the impacts of changes in economy-wide and sector-specific Total Factor Productivity (TFP) and water productivity on water uses, virtual water flows, and economic outcomes. The findings reveal that TFP improvements in livestock and fodder crop production and water productivity enhancements in gardening are recommendable options to constrain the net virtual water trade and enhance economic growth in Uzbekistan. The study also shows a high sensitivity of virtual water flows to technological changes, highlighting the importance of considering options for improving productivity when analyzing the potential of virtual water trade.

Developing a Framework on Designing a Sustainable Supply Chain by Integrating Input-Output Analysis and DEMATEL Method: A Case Study on Textile Industry in Indonesia

Developing a Framework on Designing a Sustainable Supply Chain by Integrating Input-Output Analysis and DEMATEL Method: A Case Study on Textile Industry in Indonesia

Sector-Level Inter-Provincial Virtual Water Trade in China: Implications for Regional Water Stress

China faces severe water resource shortages due to the uneven distribution of water resources and ever-increasing water demand driven by rapid industrialization and urbanization. The virtual water trade (VWT) is a potential solution to conserve water resources by transferring water from water-abundant/water-productive regions to water-scarce/less water-productive regions. Based on the inter-provincial input-output model, the provincial VWT of China was estimated at the sectoral level. The relationship of VWT with water resources in 30 provinces was analyzed in relation to the water stress index (WSI). It was found that (1) total inter-provincial VW trade showed a downward trend during the study period, with 363.91 km3 in 2002, 283.72 km3 in 2007, and 285.23 km3 in 2012. Overall, the primary industry dominated the VWT for most provinces. (2) China’s virtual water flowed from the relatively underdeveloped central and western regions to the east with a relatively developed economy from the inter-provincial level. This trend became increasingly prominent. (3) In many instances, VW was transferred from water-poor to water-rich areas. These results imply that China needs to improve its water use efficiency and optimize its regional industrial structure. Additionally, establishing an ecological compensation mechanism is considered a valuable measure for China to alleviate regional water resource pressure.

Forced labour in the fashion industry: a hypothetical EU-driven reorganisation of textile value chains

Given recent breakdowns in global value chains, like the COVID-19 crisis or the conflict in Ukraine, developed economies are trying to develop resilience to address future drawbacks. Backshoring and nearshoring arise as attractive solutions to reduce exposure to global disruptions and undesirable practices such as forced labour. This study analyses the labour impacts of a hypothetical EU-driven reconfiguration of value chains of the fashion industry through a multi-regional input-output model. Using the Structural Path Analysis methodology, how forced labour is transmitted within Europe is explored. Once the forced labour hotspots are determined, we explore the socioeconomic consequences of a trade-restructuring strategy simulated through the source-shifting technique. Our results show that the forced labour embodied in the European final demand for fashion products could fall by up to 34.2%. This strategy could generate more than 190,000 jobs in Europe, while China and India could lose more than 1.5 million jobs each.

Collaborative approaches to greenhouse gas inventory in higher education: Insights from the Universities Denmark Group

The challenges faced by universities and private industry in estimating their emissions for decarbonisation are similar, but the task of linking emissions to university operations, namely procurement, is complex and time-consuming due to the wide range and types of purchases. Here, participatory action research is used to address these challenges, with a group of Danish universities to investigate the functions and improve the completeness of university GHG inventories. The research enabled knowledge sharing and collaboration, leading to a better understanding of the complexities and possibilities of GHG inventories. The main conclusions drawn from discussions are that the GHG inventory should serve multiple functions; an inward-facing decision support material, and an externally-facing communication tool. EXIOBASE, an environmentally extended input-output model, was identified as a useful tool for future inventories, particularly in procurement, due to its comprehensive spend-based assessment of purchases also relevant to universities. With more universities adopting spend-based practices, the presented conclusions shed light on potential risks of this method that have not yet been discussed in this context. A consensus on methodological trade-offs, relevant activities, and data considerations for a GHG inventory are reached and reflected on. As suppliers can increasingly deliver product specific climate related information, a data ontology is needed to appropriately incorporate supplier-specific data into consistent inventories without conflicting with methodological principles and upholding proprietary requirements of suppliers. Addressing challenges identified through this collaborative investigation will expand on the dialogue in the literature and help shape how universities conduct and use GHG inventories. Keywords: Sustainable university; Action Research; Consequential Attributional; GHG Protocol.

Labor linkages and flow paths of industry in China

As economic power increases and market patterns adapt, labor becomes an increasingly significant factor of production. However, there is a dearth of discourse regarding the structural changes that have occurred in the correlation of the labor force across industries, as well as a visual representation of the labor force's movement across industries. To quantify and analyze the correlation effect with greater precision, it is necessary to establish an input-output model as the foundation of analysis, comparing the changes in the total output of the economic system prior to and subsequent to the exclusion using the vertical integration algorithm. By decomposing the path structure, the average propagation distance of the labor force population's demand for each industry can be determined. By employing labor force population data from the corresponding years and China's input-output tables published by the National Bureau of Statistics of China (NBS) from 2005 to 2020, this study conducts a quantitative analysis of the correlation effect between labor force population and the trend of its transfer across 19 industries. The findings indicate that the correlation effect between labor force and population is most pronounced in the manufacturing sector. Furthermore, the construction sector faces an especially critical requirement for labor force personnel from other industries. The article culminates with a recommendation that the government enhance its macro-control endeavors to address labor market risk shocks and take an active stance in response to labor market fluctuations.

The economic consequence of large-scale epidemic outbreak: The path and loss evaluation of COVID-19 in China based on input-output analysis

ABSTRACT The COVID-19 pandemic has significantly impacted China's economic and social development. Understanding the direct and indirect effects of the epidemic on the economy is vital for formulating scientifically grounded epidemic management policies. This study assesses the economic losses and influence paths of a large-scale epidemic in China. We proposed three COVID-19 scenarios – serious, normal, and mild – to evaluate the direct economic impact on China's GDP from a demand perspective. An input-output model was used to estimate the indirect impact. Our findings show that China's GDP could lose 94,206, 75,365, and 56,524 hundred million yuan under serious, normal, and mild scenarios, respectively, with corresponding GDP decline rates of 9.27%, 7.42%, and 5.56%. Under the normal scenario, indirect economic loss and total loss are projected at 75,364 and 489,386 hundred million yuan, respectively. Additionally, the pandemic led to a reduction in carbon emissions: direct emissions decreased by 1,218.69 million tons, indirect emissions by 9,594.32 million tons, and total emissions by 10,813.01 million tons across various industries. This study provides a comprehensive analysis of the economic and environmental impacts of the pandemic.

Virtual Water Embodied in Interregional Energy Trade in China: A City-Level Analysis.

Large volumes of water are used in energy production for both primary (e.g., fuel extraction) and secondary energy (e.g., electricity). In countries such as China, with a large internal trade in fuels and long-distance transmission grids, this can result in considerable water inequalities. Previous research focused on the water impacts of energy production at the national and provincial levels, which is too coarse to identify the spatial differences and make specific case studies. Here, we take the next step toward a spatially explicit economically integrated water-use for energy assessment by combining a bottom-up assessment approach with a city-level multiregional input-output model. Specifically, we examine the water consumption of energy production in China, distinguishing between water for primary and secondary energy at the level of coal mines, oil and gas fields, and power plants for the first time. Of the total energy-related freshwater consumption of 4.9 Gm3 in 2017, primary energy accounted for 19% (940 Mm3) and secondary energy accounted for 81% (3955 Mm3). Coal was the largest water consumer for both primary and secondary energy (540 and 3880 Mm3, respectively), with both oil (361, and 0.5 Mm3, respectively) and gas (7 and 69 Mm3, respectively) also consuming large amounts. Intercity virtual water, that is, water embodied in energy trade across cities, reached 54% (2.6 Gm3) of energy-related freshwater consumption. Across China, 32% of cities see a bilateral trade in secondary- and primary-energy-related virtual water (e.g., Daqing city exports virtual water embodied in primary fuel to other cities that is then used to produce electricity in those cities, part of which is used back in Daqing via transmission). For these 32% of cities, 73% export more virtual water than import and 27% import more virtual water than export. This study reveals significant differences in city-level virtual water patterns (e.g., scale and direction) between primary and secondary energy to provide information for cities about their virtual water inflow and outflow and the potential collaboration partners for water management.

An ecological input-output CGE model for unveiling CO2 emission metabolism under China's dual carbon goals

Carbon mitigation is essential for combating climate change and its impacts, safeguarding ecosystems, and protecting human health and livelihoods. This study develops an ecological input-output CGE (EIOC) model that integrates computable general equilibrium (CGE) model, input-output analysis (IOA), and ecological network analysis (ENA) to explore the evolution of the CO2 emission metabolism under long-term carbon tax policies. The EIOC model excels not only in intimately depicting economic relationships and evaluating the economic impacts of policy interventions but also in unveiling the complex internal interactions within the context of emission dynamics through multidimensional network perspectives. The EIOC model is employed to analyze CO2 emission flows under carbon tax policies aimed at fulfilling China's dual carbon goals, thereby validating its applicability. It is found that (i) the implementation of carbon tax policies (P25 and P30 scenarios) would lead to economic decline; however, there would emerge potential for recovery in investment and international trade; (ii) adopting an earlier carbon peak target (P25 scenario) would yield more pronounced emission reductions in the early to mid-term (in 2035, reductions in steel, construction, and manufacturing sectors would exceed those under the P30 scenario by 15.74%, 11.89%, and 11.59% respectively); (iii) long-term policies would significantly impact the dynamics of CO2 emission metabolism; chemical sector would display an increased reliance on the system, indicating a heightened need for inputs from the system; transactions exhibiting increased centrality (between chemical and other mining, and between chemical and manufacturing) reveal their elevated significance as transfer pathways of CO2 flows. Identifying significant changes in CO2 emission metabolism can inform incentivizing or constraining measures aimed at further adjusting emissions.

Regional disparities in health and employment outcomes of China’s transition to a low-carbon electricity system

Understanding the costs and the spatial distribution of health and employment outcomes of low-carbon electricity pathways is critical to enable an equitable transition. We integrate an electricity system planning model (GridPath), a health impact model (InMAP), and a multiregional input–output model to quantify China’s provincial-level impacts of electricity system decarbonization on costs, health outcomes, employment, and labor compensation. We find that even without specific CO2 constraints, declining renewable energy and storage costs enable a 26% decline in CO2 emissions in 2040 compared to 2020 under the Reference scenario. Compared to the Reference scenario, pursuing 2 °C and 1.5 °C compatible carbon emission targets (85% and 99% decrease in 2040 CO2 emissions relative to 2020 levels, respectively) reduces air pollution-related premature deaths from electricity generation over 2020–2040 by 51% and 63%, but substantially increases annual average costs per unit of electricity demand in 2040 (21% and 39%, respectively). While the 2 °C pathway leads to a 3% increase in electricity sector-related net labor compensation, the 1.5 °C pathway results in a 19% increase in labor compensation driven by greater renewable energy deployment. Although disparities in health impacts across provinces narrow as fossil fuels phase out, disparities in labor compensation widen with wealthier East Coast provinces gaining the most in labor compensation because of materials and equipment manufacturing, and offshore wind deployment.

A methodology to study price-quantity interactions in input–output modeling: an application to NextGenerationEU funds

The standard input–output (IO) model consists of two distinct and self-contained modules that describe the underlying factors governing quantities and prices. However, these modules operate independently, existing in separated spheres where prices do not influence quantities and quantities do not affect prices. This limitation restricts the standard model's ability to evaluate market dynamics that involve simultaneous changes in both quantities and prices. To overcome this limitation, we introduce an extended version of the traditional IO price and quantity models, combining them into a unified ‘price-quantity’ model that establishes connections between the two IO modules. We apply this integrated IO model to evaluate the impact of NextGenerationEU funds on the Spanish economy utilizing input–output and national accounts data for 2016.

An assessment of the carbon emissions of China's ICT system from the demand and supply perspectives

Previous research has predominantly examined China's Information and Communication Technology (ICT) industry's carbon emissions through the lens of technological progress, overlooking impacts from both demand and supply perspectives. We employ a subsystem input-output model to analyze the total emissions of China's ICT industry from 2002 to 2020, decomposing them into direct, intra-sectoral, feedback, and spillover components from both perspectives. Our findings reveal that between 2002 and 2020, demand-driven emissions increased by 205.1 %, while supply-driven emissions surged by 496.4 %. From both demand and supply perspectives, the spillover component emerged as the dominant contributor from 2002 to 2020, particularly in 2020, accounting for more than 99 % of the total emissions. From a demand-driven perspective, we identify ICT manufacturing as the primary emissions source, contributing to over 66 % of the total emissions during the period and triggering significant spillover emissions in the power and heavy manufacturing sectors. Conversely, the supply-driven approach highlights ICT services as the major emitter, accounting for over 70 % of the total emissions between 2002 and 2020, with notable spillover effects observed in the transport sector. We highlight the significance of shaping consumption behaviors related to ICT manufacturing products and improving emissions efficiency in electricity and heavy manufacturing, both crucial intermediate inputs in ICT production, from a demand perspective. From a supply perspective, promoting the adoption of clean technologies among downstream users of ICT services could aid China's emissions mitigation efforts in the digital era.

Augmenting input-output system under the curse of dimensionality: AHP-RAS integration and algorithm simulation

ABSTRACT In the estimation of input-output tables, one frequently encountered challenge is the aggregation of sectors in initial tables, which complicates the estimation of more detailed tables due to missing data—a phenomenon referred to as the “curse of dimensionality” when augmenting from lower to higher dimensions. We propose an AHP-RAS method to address the substantial data deficiencies encountered in the expansion of input-output tables. The method applies the Analytical Hierarchy Process (AHP) to transform the subjective relative importance of sectors into input coefficients using Pairwise Comparison Matrices (PCM) and eigenvector methods. Subsequently, it incorporates the RAS approach to supplement objective data, thereby integrating subjective judgement and objective information to tackle the curse of dimensionality. Unlike traditional AHP methods, this study employs binary integer programming to decompose large-scale matrices into subsets, making the AHP technique applicable to input-output tables with a broader range of sectors. We employ Monte Carlo simulation techniques to evaluate the robustness of the proposed methodology, specifically assessing the impacts of subjective judgement, objective data utilization, and the variation in sector numbers. Overall, the method overcomes the curse of dimensionality, yielding coefficients within an acceptable error margin, thereby demonstrating a significant advancement in the field of input-output analysis.

Development, modeling and analysis of a differential lever-bridge amplification mechanism

The displacement amplification mechanism is commonly utilized in micro/nano-manipulating systems to enhance the output stroke of piezoelectric actuators. Aiming at large amplification ratio, this paper proposes a symmetrical dual-stage amplification mechanism consisting of a differential lever mechanism and a half-bridge mechanism. With consideration of the coupling effect between the dual-stage amplification mechanism, a kinematic modeling method is developed for the symmetrical differential lever-bridge hybrid (SDLBH) mechanism on top of the static balance and constraint conditions of the branch chain. In particular, the force-deformation relationship of the flexible hinge is derived according to the flexibility matrix method. Based on the path constraint conditions of the branch chain, the static equilibrium equation as well as the displacement constraint conditions are obtained. Consequently, the input-output model of the SDLBH mechanism is established, which is capable of accurately predicting the amplification ratio and the mechanical stiffness. Finite element simulations and real time experiments on the SDLBH prototype effectively validate the mechanical performance as well as the accuracy of proposed modeling method. The performance sensitivity of the developed SDLBH mechanism is further analyzed by the Taguchi method, aiming to offer the optimization guideline for real applications.

The Industry 5.0 (I50) paradigm, blockchain-based applications and the smart city

PurposeAgainst the background of the I50 paradigm, this paper queries in what ways blockchain and blockchain-based applications deployed in the smart city context facilitate the integration of the I50 paradigm in smart urban contexts.Design/methodology/approachA mixed methods approach is applied. First, by means of desk research and thematic literature review, a conceptual model integrating the I50 paradigm, smart city and blockchain-based solutions is built. Second, science mapping bibliometric analysis (SciMat) based on keywords’ co-occurrence is applied to a sample of 491 research articles to identify key domains of blockchain-based applications’ use in smart city. Third, a semi-systematic literature review complements insights gained through SciMat. Fourth, the findings are interpreted through the precepts of the conceptual model devised earlier.FindingsThe key blockchain-based applications in smart cities pertain to two domains, i.e. the foundational, service facilitation-oriented domain, including security (and safety), networks, computing, resource management and the service delivery-oriented domain, including mobility, energy and healthcare. Blockchain serves as the key building block for applications developed to deliver functions specific to each of the thus identified domains. A substantial layering of blockchain-based tools and applications is necessary to advance from the less to the more complex functional domains of the smart city.Originality/valueAt the conceptual level, the intricacies of the (making of the) I50 paradigm are discussed and a case for I50 – smart city – blockchain nexus is made. Easton’s input–output model as well as constructivism is referenced. At the empirical level, the key major domains of blockchain-based applications are discussed; those that bear the prospect of integrating the I50 paradigm in the smart city are highlighted. At the methodological level, a strategic move is made aimed at restoring the literature review’s role as subservient to the key line of exploration, to justify and ultimately support it, rather than to showcase the literature review as the ultimate purpose for itself.