Search Results (44)

As global pressure to reduce emissions intensifies, China is increasingly turning to digital technologies to drive sustainable industrial development, aiming to boost production while keeping carbon emissions in check. This study takes a micro-level approach by dividing the industry into 17 sectors and applying an environmentally-extended input–output (EEIO) model combined with structural decomposition analysis (SDA) to quantify the impact of digital transformation on carbon emissions across sectors. This study used input–output data from 2012 and 2017. The results indicate that (1) technological improvements driven by digitalization play a key role in reducing industrial carbon emissions, and (2) while high-carbon sectors show substantial emission reductions due to digital transformation, industries such as textiles—where digital adoption is more challenging—exhibit only limited improvements. These findings underscore the need to further advance technological upgrading and transformation in less digitally integrated sectors. Full article

Unveiling the relationship between the “Water–Carbon–Ecology” (W-C-E) footprints embodied in regional trade and resource flows is crucial for enhancing the synergistic benefits between economic development and environmental protection. This study constructs an association framework based on the Multi-Regional Input–Output (MRIO) model to systematically evaluate the “W-C-E” footprints and resource flow characteristics of the Yangtze River Economic Belt and the Yellow River Basin. By integrating import and export trade data, this study reveals the patterns of resource flows within and outside these regions. This research delineates the connection patterns between the “W-C-E” footprints and resource flows across three dimensions: spatial, sectoral, and environmental–economic factors. The results indicate that the Yangtze River Economic Belt has gained significant economic benefits from regional trade but also bears substantial environmental costs. Import and export trade further exacerbate the imbalance in regional resource flows, with the Yangtze River Economic Belt exporting many embodied resources through high-energy-consuming products, while the Yellow River Basin increases resource input by importing products such as food and tobacco. Sectoral analysis reveals that agriculture, electricity and water supply, and mining are the sectors with the highest net output of “W-C-E” footprints in both regions, whereas services, food and tobacco, and construction are the sectors with the highest net input. The comprehensive framework of this study can be extended to the analysis of resource–environment–economic systems in other regions, providing methodological support for depicting complex human–land system linkage patterns. Full article

A transition to low-carbon energy sources is pivotal in addressing the escalating challenges of climate change and environmental degradation. Solar energy, particularly photovoltaic (PV) technology, stands out as a prominent solution because of its potential for clean and sustainable electricity generation with minimal greenhouse gas emissions. However, accurately assessing the carbon footprint of PV modules is essential for guiding policy, industry practices, and research. This paper reviews the state of the current literature and highlights the difficulties in estimating the carbon footprint of PV modules manufactured in China. It emphasises the inherent limitations of Process-Based Life Cycle Assessments (PLCAs), including data collection challenges, dynamic environmental changes, and subjective methodological choices. Through the case study of Ecoinvent 3.7 the study underscores the need for improved transparency, standardisation, and reproducibility in Life Cycle Assessments (LCAs) to provide more accurate and reliable environmental impact evaluations. Full article

Australia submitted its updated nationally determined contribution (NDC) in 2022 and increased the ambition of its 2030 target, committing to reduce greenhouse gas (GHG) emissions 43% below 2005 levels by 2030. A new set of policies was proposed in its NDC, but the potential effectiveness of these policies should be assessed. This research has applied an environmentally extended input–output analysis combined with linear programming and set six types of scenarios to assess the maximum GHG emission reductions in 2030. The six scenarios include “business as usual”, different levels of sector-differentiated growth, a low-carbon electricity mix, a reduction in the emissions intensity of the mining sector, an increase in the electricity efficiency of intermediate inputs, and the implementation of all measures. Results show that implementing all measures simultaneously can achieve Australia’s 2030 emission targets, with total emissions in 2030 being 317.62 Mt CO₂-e, which is a 39.08% reduction compared to the BAU. This study contributes to understanding changes in scenarios for the development of carbon emissions to achieve Australian NDCs. Full article

This paper presents a comprehensive study of the mechanical properties of lime-based mortar in an acidic environment, employing both experimental analysis and machine learning to model techniques. Despite the extensive use of lime-based mortar in construction, particularly for the strengthening of structures as externally bonded materials, its behavior under acidic conditions remains poorly understood in the literature. This study aims to address this gap by investigating the mechanical performance of lime-based mortar under prolonged exposure to acidic environments, laying the groundwork for further research in this critical area. In the experimental phase, a commercial hydraulic lime-based mortar was subjected to varying environmental conditions, including acidic solution immersion with a pH of 3.0, distilled water immersion, and dry storage. Subsequently, the specimens were tested under flexure following exposure durations of 1000, 3000, and 5000 h. In the modeling phase, the extreme gradient boosting (XGBoost) algorithm was deployed to predict the mechanical properties of the lime-based mortar by 1000, 3000, and 5000 h of exposure. Using the experimental data, the machine learning models were trained to capture the complex relationships between the stress-displacement curve (as the output) and various environmental and mechanical properties, including density, corrosion, moisture, and exposure duration (as input features). The predictive models demonstrated remarkable accuracy and generalization (using a 4-fold cross-validation approach) capabilities (R² = 0.984 and RMSE = 0.116, for testing dataset), offering a reliable tool for estimating the mortar’s behavior over extended periods in an acidic environment. The comparative analysis demonstrated that mortar samples exposed to an acidic environment reached peak values at 3000 h of exposure, followed by a decrease in the mechanical properties with prolonged acidic exposure. In contrast, specimens exposed to distilled water and dry conditions exhibited an earlier onset of strength increase, indicating different material responses under varying environmental conditions. Full article

Systematically assessing the impact of industrial restructuring on carbon emissions and economic growth from the industrial correlation perspective holds great significance for realizing sustainable economic development. By extending the input–output analysis, this study developed a comprehensive assessment framework to evaluate the impacts of industrial restructuring on energy-related carbon emissions and economic growth within a multi-sectoral system from the industrial correlation perspective. An indicator system was established to identify key sectors for different industrial restructuring strategies. Taking Guangdong as a case, the results show that (1) the indirect impact of industrial restructuring in sectors such as equipment manufacturing and services on carbon emissions is more significant than that on economic growth, and the carbon intensity of its indirect impact is much larger than that of its direct impact; (2) industrial restructuring indirectly affects energy-related carbon emissions or economic growth mainly through a limited number of linked sectors, whereas the main linked pathways through which sector-specific industrial restructuring indirectly affects carbon emissions and economic growth are not consistent; (3) from the industrial correlation perspective, environmental benefits are higher for the service sector and lower for the construction sector; and (4) in industrial restructuring, the metal-processing sector is identified as a key sector for pursuing low-carbon transition, while the non-metallic mineral products sector is identified as a key sector for controlling production scale. The findings and framework can inform regional decisions on industrial restructuring and carbon reduction from the industrial correlation perspective. Full article

Solar energy plays a crucial role in mitigating climate change and transitioning toward green energy. In China (particularly Northwest China), photovoltaic (PV) development is recognized as a co-benefit and nature-based solution for concurrently combating land degradation and producing clean energy. However, the existing literature on the subject is limited to the local effects of PV power station construction and ignores the spillover environmental effects in distant regions. Thus, a hotspot of PV development in Northwest China was selected as a case to quantify the spill-over impacts of PV development in Qinghai Province on cross-regional economy and the environment using an environmentally extended multi-regional input–output approach and related socioeconomic and environmental statistical data. A cross-regional carbon footprint analysis revealed that the eastern region of Qinghai Province had the highest carbon footprint, followed by the southwestern, central, southern, northwestern, northern, and northeastern regions; the production and supply sectors of electricity and heat were the primary sources of carbon emissions, followed by metal smelting and rolling processing products, non-metallic mineral products, and the transportation, warehousing, and postal sectors. In addition, the PV development in Qinghai Province strongly supports the electricity demand in the central and eastern coastal areas, while substantially reducing the carbon emissions in the eastern, southwestern, and central regions (through the distant supply of PV products). We quantified the spillover effects of PV development in Qinghai Province and address the challenges of PV development in the carbon emission reduction strategies implemented at the regional and cross-regional scales; our findings will support policymakers in developing plans that ensure sustainable energy supply and help China to achieve its carbon neutrality goals. Full article

Greenhouse gas (GHG) emissions from Thailand’s biomass pellet production were comprehensively assessed, with a specific focus on wood and corn pellets. Employing the extended input and output tables, the anticipated economic and environmental effects of the rising demand for biomass pellets within the Asia–Pacific Economic Cooperation region, which is projected to see an increase exceeding 33% by the year 2050, were investigated. The estimations of CO₂, CH₄, and N₂O emissions, which were conducted utilizing an open Leontief model based on the 2015 National Input–Output Tables, covered each stage of the production process. The results show that emissions from the production of corn pellets are expected to rise steadily, from 52.91 MtCO₂e in 2022 to 75.77 MtCO₂e by 2030, whereas emissions from wood pellet production are set to increase more substantially, from 210.30 to 301.18 MtCO₂e within the same timeframe. Data derived from surveys and interviews with corn farmers and wood pellet manufacturers informed the lifecycle data for the biomass pellet supply chain from cradle to gate. The findings suggest that Thailand’s power sector could benefit significantly from the biomass potential in the northern part of Thailand, which boasts an estimated energy content of corncob at 39 ktoe (0.0016 TJ). Market demand scenarios were explored in two forms: one where it was assumed that all biomass pellets are to be exported to Japan and South Korea, expecting a combined demand of approximately 560,262 tons by 2030, and another positing that 10% of production will be reserved for the domestic market, with a forecasted annual increase of 10% from 2020 to 2050. This paper highlights the need to prioritize low-emission renewable energy sources, expand technologies with lower lifecycle emissions, optimize the biomass supply chain to enhance efficiency, and introduce sustainable energy practices. The detailed GHG emissions analysis provides critical insights for policy formulation, underscoring the importance of sustainable transitions in the context of increasing biomass demand. Full article

The health care sector exists to support and promote human wellbeing; however, its operations contribute to environmental degradation undermining nature’s capacity to support the same wellbeing. Biodiversity loss, in particular, creates threats to wellbeing through a reduction in ecosystem service provisioning and increases in disease. This study aims to estimate the extinction-risk footprint associated with the health care sector, focusing on Europe. We created an environmentally-extended multi-region input–output model using data on the extinction risk of species available from the International Union for Conservation of Nature’s (IUCN) Red List of Threatened Species. Using input–output analysis, we then quantified the extinction-risk footprint of the Dutch health care sector and, for comparison, that of the 30 European nations which use similar sector classifications in their National Accounts reporting. We found that the Netherlands has the highest health care extinction-risk footprint on a per-capita basis and that health care contributes 4.4% of the Dutch consumption extinction-risk footprint compared with an average of 2.6% across the comparator set. Food and beverage supply chains make a disproportionate contribution to health care’s extinction-risk footprint, while supply chains implicated in the sector’s carbon footprint make a limited contribution. These results suggest that reducing the environmental impact of the health care sector may require a differentiated approach when multiple environmental indicators are considered. Full article

Japan is actively promoting the application of cross-laminated timber (CLT) in construction to utilize plantation forests efficiently and fulfil its climate commitments. Although CLT has unique structural properties and environmental advantages, understanding the environmental burden of CLT manufacturing remains scarce. This study uses input–output analysis to evaluate the greenhouse gas (GHG) emissions from CLT manufacturing. An extended input–output table was created to measure the GHG emissions by investigating the revenue and expenditure data of the largest CLT manufacturers in Japan in 2020, combined with the energy and emission intensity data. The results showed that electricity, activities not elsewhere classified, road freight transportation (except self-transportation), timber, and logs were the main sectors contributing to GHG emissions from CLT manufacturing. In addition, the environmental burdens of the cement and steel sectors were evaluated for comparison with the same increase in the final demand. We found that CLT manufacturing emits significantly fewer GHGs than the cement and steel sectors. These findings highlight the potential of CLT in reducing environmental burden, particularly in construction and civil engineering, emphasizing the importance of renewable energy use and efficient raw material transportation. Full article

Black carbon (BC) and CO₂ emissions are the two major factors responsible for global climate change and the associated health risks. Quantifying the impact of economic activities in urban agglomerations on BC and CO₂ emissions is essential for finding a balance between climate change mitigation and pollution reduction. In this study, we utilized a city-level environmental extended multi-regional input–output model (EE-MRIO), integrated nexus strength (INS), and structural path analysis (SPA) to quantify the BC and CO₂ footprints, nexus nodes, and supply chains of 21 cities in the Sichuan urban agglomeration (SUA) from 2012 to 2017. The results revealed that approximately 70% of the BC and CO₂ footprints come from inter-city transactions, with Chengdu being the largest importing city, while the supply of other cities was greater than their consumption. The SUA has transitioned from a supply-side city cluster to a consumption-oriented city cluster in its trade with other domestic regions. The SPA analysis highlighted that the construction sector was the largest emitter of downstream BC and CO₂, while the electricity supply, metal/nonmetallic manufacture, oil refining and coking, transportation, and extraction industry sectors were the main nexus nodes for BC and CO₂ emissions in the SUA. Notably, the reduction in BC emissions was due to decreased indirect emissions from oil refining and coking, while the decrease in CO₂ emissions was a result of reduced indirect emissions from electricity supply. This article presents, for the first time, a quantification of the heterogeneous impacts and emission supply chains of BC and CO₂ emissions from economic activities in the SUA, providing valuable insights for developing climate mitigation policies tailored to different urban clusters. Full article

In many regions of the world, water consumption exceeds the limits of sustainable water use. A commonly used method to examine the relationship between global water consumption and production is input–output analysis. However, between approximately 70% and 90% of freshwater consumption occurs in agricultural primary production, which is often represented by only a small percentage of the total number of sectors in input–output databases. As a result, water-related assessments based on input–output analysis are limited in their accuracy and substance. In addition, the assessment of the impact of water consumption is usually carried out at the national level, which can further contribute to the imprecision of the results. Therefore, the primary objective of this work was to develop an approach to better assess water use and its impacts in input–output analysis. In order to achieve this objective, a novel approach was adopted by integrating a global spatial model of agricultural primary production (MapSPAM) into an existing input–output database via prorating. In addition, the utilisation of MapSPAM allowed the calculation of water environmental extensions with unprecedented accuracy. The resulting Input–Output Global Hybrid Analysis of Agricultural Primary Production (IO-GHAAPP) approach includes (1) a novel input–output database and (2) novel environmental extensions for freshwater consumption and scarcity. The IO-GHAAPP database consists of 150 categories and 164 regions, resulting in a total of 24,600 region–category combinations. Forty-two of the categories are dedicated to agricultural primary production (28%). In comparison, the source input–output data consist of 120 categories and 164 regions, resulting in a total of 19,680 region–category combinations, of which 14 are dedicated to agricultural primary production (12%). The Python code and IO-GHAAPP database are openly available via Zenodo. The IO-GHAAPP approach is presented in a comparative analysis of agricultural primary production, along with the associated water consumption and water footprint, at both the global level and for the United States and India. Both countries are among the most important in the world in terms of agricultural primary production as well as associated water consumption and water scarcity. Furthermore, the IO-GHAAPP approach is applied in a simple case study of Germany, which stands in contrast as one of the largest importers of agricultural primary production on a global scale. The results show that the IO-GHAAPP approach adds a valuable layer of information to the disaggregated input–output data, allowing crop-specific analyses to be carried out that would otherwise not be possible, e.g., for specific leguminous or beverage crops. The results are relevant to practitioners of input–output analysis who are concerned with the impacts of agricultural primary production and who need highly resolved data, as well as to policy-makers who rely on such studies. The demonstrated IO-GHAAPP approach could be extended to other externalities relevant to agricultural primary production, such as land use, soil degradation or pollution. Full article

Japan has been actively promoting the various uses of timber to efficiently utilize its plantation forests and contribute to its climate commitments. Cross-laminated timber (CLT), owing to its unique structural characteristics and environmental advantages, has received widespread attention in Japan. Being a high-value-added timber, CLT’s value chain involves various industries, including forestry, timber processing, transportation, construction, and civil engineering. However, the economic impact associated with the increasing production and use of CLT is ambiguous. Targeting CLT manufacturers in Japan, this study evaluated the economic ripple effects of CLT through an input–output analysis, which is a method that is used to evaluate the independent association between different economic sectors and industries. An extended input–output table was established according to the survey of revenue and expenditure data of the largest CLT manufacturers in Japan in 2020. The result was compared with the glued-laminated timber (GLT) scenario at the same final demand value. The results showed that activities not elsewhere classified, timber, logs, road freight transport (except self-transport), and wholesale trade were the top five sectors that had the largest economic impact on CLT manufacturing. Our research has implications for policies and programs to promote the revival of forestry and sustainable development of the timber industry in Japan. Full article

Digitalization is an excellent opportunity for the manufacturing industry all over the world to improve the core competitiveness and break through the “low-end locking” dilemma. However, it is not clear whether the digitalization of the manufacturing industry has positive ecological and environmental benefits under the resource and environmental constraints. To answer this question, we use the data from the world input–output database (WIOD) to investigate the impact of manufacturing input digitalization on carbon emission intensity by an extended analysis. The results show that the input digitalization of the manufacturing industry has mixed effects on reducing carbon emission intensity. The productive input digitalization can reduce carbon emission intensity, but the distributional input digitalization may increase carbon emission intensity. Non-pollution-intensive manufacturing and high-input digital manufacturing have stronger carbon emission reduction effects than the other industry sectors. From the perspective of input sources, input digitalization from domestic sources has a significant inhibitory effect on the carbon emission intensity. In contrast, input digitalization from foreign sources may increase carbon emission intensity. Full article

Copper is a critical mineral resource and plays a crucial role in social and economic development. In China, the world’s largest copper consumer, copper footprints and embodied copper transfers among sectors have not been studied sufficiently. Combing an environmentally extended input-output model and complex network method, this paper systematically analyzes China’s copper consumption embodied in the final demand and the production process. The research shows that (1) from the perspective of the final demand, the Construction sector is the largest driver of copper consumption, contributing 3.27 Mt in 2020, followed by the Manufacture of General Purpose Machinery sector (1.31 Mt). (2) Structural path analysis (SPA) shows that mainly the Construction sector drives copper consumption from the Production and Distribution of Electric Power and Heat Power sector, followed by the Manufacture of Non-metallic Mineral Products sector, and so on. Conversely, the Production and Distribution of Electric Power and Heat Power sector is the main initial sector in the supply chain, driven by the Construction sector, the Manufacture of Non-metallic Mineral Products sector, the Smelting and Processing of Metals sector, and so on. (3) From the perspective of production, the Transport, Storage, and Postal Services sector is an important transfer station transforming resources from the upstream sectors to the downstream sectors along with the transfers of embodied copper. The Production and Distribution of Electric Power and Heat Power sector is an important supplier for the downstream sectors. The Construction sector is an important consumer for the upstream sectors. The sectors including the Smelting and Processing of Metals sector, the Manufacture of Chemical Products sector and the Manufacture of Non-metallic Mineral Products sector function well as transformers, suppliers and consumers in the process of embodied copper transfers. (4) From the perspective of production, the embodied copper flow system can be divided into four groups that are closely linked. E & C community is the core member of the whole embodied copper flow network. C and S community is the main consumer of embodied copper resources in the network, exporting a great deal of embodied resources from other communities. Finally, some policy proposals on the rational utilization of copper resources are put forward. Full article