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Multi-regional input–output (MRIO) models are widely used to analyze the economic interdependencies between regions in the context of global trade and environmental research. MRIO tables enable us to teleconnect the sectors in different regions along the supply chain and track both direct and indirect impacts of global production. Yet emerging economies—despite reshaping international trade patterns and playing an increasingly important role in the world economy—are not adequately represented in existing MRIO databases, which lack key detail on countries and sectors. To bridge this gap, our study presents EMERGING: Up-to-date and full-scale MRIO tables covering 135 sectors in 245 economies over the period from 2015 to 2019. We describe in detail the steps in the development of the database and reconciliation and validation of bilateral trade data and national statistics. The EMERGING database is also designed to incorporate more official and publicly available data from national statistical institutes to ensure a high level of data quality, especially for these economies. We compare both national production-based and consumption-based value added generated from the EMERGING MRIO with the results from four major MRIO databases. Although global value-added accounts are similar across databases, we find significant discrepancies at the level of individual countries and sectors concerning conflicting benchmark data.

China's high‐speed economic development and reliance on overconsumption of natural resources have led to serious environmental pollution. Environmental taxation is seen as an effective economic tool to help mitigate air pollution. In order to assess the effects of different scenarios of environmental taxation policies, we propose a frontier‐based environmentally extended input–output optimization model with explicit emission abatement sectors to reflect the inputs and benefits of abatement. Frontier analysis ensures policy scenarios are assessed under the same technical efficiency benchmark, while input–output analysis depicts the wide range of economic transactions among sectors of an economy. Four scenarios are considered in this study, which are increasing specific tax rates of SO2, NOx, and soot and dust separately and increasing all three tax rates simultaneously. Our estimation results show that: raising tax rates of SO2, NOx, and soot and dust simultaneously would have the highest emission reduction effects, with the SO2 tax rate making the greatest contribution to emission reduction. Raising the soot and dust tax rate is the most environmentally friendly strategy due to its highest abatement to welfare through avoided health costs. The combination of frontier analysis and input–output analysis provides policy makers a comprehensive and sectoral approach to assess costs and benefits of environmental taxation.

Regional economic development in China has resulted in an unbalanced distribution of resources and frequent exchanges of resources and products among regions. Therefore, it is necessary to understand these regional differences to support national planning to improve sustainability. In this research, we used energy data and a multiregional input-output table for China in 2002 to analyze the domestic trade among the 30 provinces and seven regions of China. We also quantified the embodied energy flows and their patterns by means of ecological network analysis and looked at different types of relationships between the regions, such as mutualistic or competing relationships. The results show that the flows connected with the Northern and Eastern regions ranked first, and those connected with the Southwestern and Northwestern regions were the smallest. Based on the flows among provinces and regions, we determined the relationships among them. Results show that more than 95% of the total relationships among the regions were exploitation, with only one competition relationship. The Eastern region received the largest input and the highest benefits from their energy exchanges with other regions. Our study of the regional flows and relationships among the regions and provinces provides useful information on the flows and consumption of embodied energy in China, thereby providing insights into the sustainability of these flows and how to promote sustainable development through regional cooperation.

Rapid economic growth and urbanization in China have led to a substantial change in consumption patterns and diet structure of Chinese consumers over the past few decades. A growing demand for feed, fuel and fiber also places intense pressure on land resources. With continuing growth of China’s economy and migration from rural to urban, the increase in food consumption and change in diet structure will likely continue, which will not only impose pressure on domestic land resources but also exert impact on land resources in other countries through import. This article applies a global multi-region input-output (MRIO) model to trace agricultural land use along global supply chains and examines the impact of China’s future food consumption on global land use in 2030 against different socio-economic and technological scenarios. Our result shows that by 2030, China would need an additional 21% of cropland to support its increasing food demand driven by population growth, urbanization and income growth and the associated diet structure change. Almost a third of cropland associated with household consumption (34 Mha) will be “outsourced” to foreign countries, such as Argentina, Brazil, United States and Thailand, for the consumption of cereal grains, soybeans and paddy rice. China also consumes 2.4 Mha cropland from Africa for its consumption of cereal grains and oil seeds. The dependence of domestic consumption on significant amounts of foreign cropland shows that China would face serious challenges to meet its grain self-sufficiency policy in the future, and at the same time this dependence would contribute to environmental and food security problems elsewhere.

China faces the challenge of balancing unprecedented economic growth and environmental sustainability. Rather than a homogenous country that can be analyzed at the national level, China is a vast country with significant regional differences in physical geography, regional economy, demographics, industry structure, and household consumption patterns. There are pronounced differences between the much-developed Eastern-Coastal economic zone and the less developed Central and Western economic zones in China. Such variations lead to large regional discrepancies in carbon dioxide (CO 2) emissions. Using the 28 regional input-output tables of China for 2002 and 2007 and structural decomposition analysis (SDA), we analyze how changes in population, technology, economic structure, urbanization, and household consumption patterns drive regional CO 2 emissions. The results show a significant gap between the three economic zones in terms of CO 2 emission intensity, as the Eastern-Coastal zone possesses more advanced production technologies compared to the Central and Western zones. The most polluting sectors and largest companies are state-owned enterprises and thus are potentially able to speed up knowledge transfer between companies and regions. The "greening" of the more developed areas is not only a result of superior technology, but also of externalizing production and pollution to the poorer regions in China. The results also show that urbanization and associated income and lifestyle changes were important driving forces for the growth of CO 2 emissions in most regions in China. Therefore, focusing on technology and efficiency alone is not sufficient to curb regional CO 2 emissions.

In this article we apply geodemographic consumer segmentation data in an input-output framework to understand the direct and indirect carbon dioxide (CO2) emissions associated with consumer behavior of different lifestyles in the United Kingdom. In a subsequent regression analysis, we utilize the lifestyle segments contained in the dataset to control for aspects of behavioral differences related to lifestyles in an analysis of the impact of various socioeconomic variables on CO2 emissions, such as individual aspirations and people's attitudes toward the environment, as well as the physical context in which people act.This approach enables us to (1) test for the significance of lifestyles in determining CO2 emissions, (2) quantify the importance of a variety of individual socioeconomic determinants, and (3) provide a visual representation of " where" the various factors exert the greatest impact, by exploiting the spatial information contained in the lifestyle data.Our results indicate the importance of consumer behavior and lifestyles in understanding CO2 emissions in the United Kingdom. Across lifestyle groups, CO2 emissions can vary by a factor of between 2 and 3. Our regression results provide support for the idea that sociodemographic variables are important in explaining emissions. For instance, controlling for lifestyles and other determinants, we find that emissions are increasing with income and decreasing with education. Using the spatial information, we illustrate how the lifestyle mix of households in the United Kingdom affects the geographic distribution of environmental impacts.

Summary China's development over the last few decades has been characterized by high rates of economic growth, large-scale migration from rural areas to the fast-growing cities accompanied by changes in lifestyles, and steady population growth. These developments have left deep marks on resource availability and quality. In this article we conduct a scenario analysis of how lifestyle changes and other major developments might affect water resources. China has the longest tradition in river and water resource management in the world. Its civilization has sought to control the effects of floods and drought for thousands of years and has utilized water flows for irrigation and navigation. In the last century, competing uses such as domestic, municipal, and industrial water consumption have also become reasons for the regulation of and large-scale abstraction of water. To investigate the major changes in economy and society and their effects on the water situation in China, a set of scenarios is developed and analyzed within a structural economics framework. A hydrological model that represents water flows in the major watersheds is linked to a regional input-output model that represents socioeconomic activities in the major economic-administrative regions of China. The regional analysis shows that the North and Northwest regions are water-scarce and that lifestyle changes and technical shifts are the most important factors driving future water consumption.