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Efficient allocation of resources and transition towards cleaner sources of energy are among the key factors in minimizing the negative externalities arising from the growing dependency on fossil fuels. Moreover, environmentally benign trade policies are crucial due to the rapid expansion in global trade and comparative advantage. To explore the relationship between global trade and Consumption‐Based Carbon Emissions (CBCE) in China in the context of renewable energy consumption and energy efficiency from 1990 Q1 to 2020 Q4, this paper employs the dynamic Autoregressive Distributed Lags (Dynamic ARDL) model to evaluate the connection between international trade, renewable energy usage, energy efficiency, and CBCE, with the Kernel‐Based Regularized Least Squares analysis being used to determine the causal association. The findings reveal that GDP and imports are directly linked with CBCE in the long run, while exports, energy efficiency, and renewable energy consumption have a negative significant long‐run and short‐run influence on CBCE. In addition, exports help in the reduction of CBCE by sharing and adapting environmentally friendly technologies adopted in, for example, renewable energy and ecological advancements. Renewable energy promotes the quality of the environment, which is attributable to the performance of renewable energy and environmentally friendly technologies that directly stimulate the reduction of CBCE emissions. By cutting CBCE, energy efficiency tends to boost environmental quality. The research findings have noteworthy policy implications; trade enhances the quality of environment by introducing lower energy intensive production methods and technology that support sustainable development. As a result, this study advocated quite stringent policies in terms of aligning international trade orientation with environmental quality policy in China. Furthermore, energy efficiency policies are required to lower CBCE by focusing on high‐energy‐using industries and providing alternative clean energy sources. [ABSTRACT FROM AUTHOR]

The least developed countries (LDCs) have been declared a battleground where the success or failure of the Sustainable Development Goals (SDGs) will be decided. Being the main instrument of support of LDCs and one of the main means of the implementation of the SDGs, international trade plays a crucial role in this case. Following the importance of trade for the sustainable development of LDCs, the study evaluates the success of selected LDCs in increasing their participation in international trade since the beginning of the new millennium. The participation of LDCs in international trade and the progress they have individually made is explored using 10 criteria, which were processed by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The low participation of LDCs in international trade and the almost negligible progress they have made brings legitimate doubts about whether international trade can fulfill its function as a means of implementation of the SDGs in these countries. [ABSTRACT FROM AUTHOR]

This paper serves as an introduction to this special issue on the use of multiregional inputoutput modeling in assessments of natural resource use and resource use efficiency. Due to globalization, growth in trade has outpaced growth in global gross domestic product (GDP). As a consequence, impacts of consumption of a country increasingly take place abroad. Various methods have been developed to perform so-called footprint analyses. We argue that global multiregional input-output (GMRIO) analysis has the largest potential to provide a consistent accounting framework to calculate a variety of different footprint indicators. The state of the art in GMRIO has, however, various shortcomings, such as limited sector and regional detail and incomplete extensions. The work presented in this special issue addresses a number of such problems and how to possibly overcome them, focusing on the construction of a new GMRIO database (EXIOBASE V3). This database includes long time series in both current and constant prices, a high level of product and sector detail, a physical representation of the world economy, and allows analyzing which footprints out of the many possible indicators provide most information for policy making. Various options for empirical analyses are presented in this special issue. Finally, we analyze how GMRIOs can be further standardized and gradually moved from the scientific to the official statistical domain. [ABSTRACT FROM AUTHOR]

Global multiregional input-output databases (GMRIOs) became the standard tool for tracking environmental impacts through global supply chains. To date, several GMRIOs are available, but the numerical results differ. This paper considers how GMRIOs can be made more robust and authoritative. We show that GMRIOs need detail in environmentally relevant sectors. On the basis of a review of earlier work, we conclude that the highest uncertainty in footprint analyses is caused by the environmental data used in a GMRIO, followed by the size of country measured in gross domestic product (GDP) as fraction of the global total, the structure of the national table, and only at the end the structure of trade. We suggest the following to enhance robustness of results. In the short term, we recommend using the Single country National Accounts Consistent footprint approach, that uses official data for extensions and the national table for the country in question, combined with embodiments in imports calculated using a GMRIO. In a time period of 2 to 3 years, we propose work on harmonized environmental data for water, carbon, materials, and land, and use the aggregated Organization for Economic Cooperation and Development (OECD) Inter-Country Input-Output GMRIO as default in combination with detailing procedures developed in, for example, the EXIOBASE and Eora projects. In the long term, solutions should be coordinated by the international organizations such as the United Nations (UN) Statistical Division, OECD, and Eurostat. This could ensure that when input-output tables and trade data of individual countries are combined, that the global totals are consistent and that bilateral trade asymmetries are resolved. [ABSTRACT FROM AUTHOR]

ABSTRACT The carbon footprint is the most important measure to achieve sustainable development, generating information that facilitates the establishment of sound environmental policy by policy makers. This study attempts to investigate the factors that influence the carbon footprint from a global economic perspective. The empirical analysis is conducted using panel data from 98 countries with annual observations that span from 1990 to 2007. The results show that the increase in the carbon footprint resulting from economic growth cannot be counterbalanced by technological advances in environmental protection at different stages of economic development. Furthermore, international trade, industrial structure and energy demands have significant effects on the carbon footprint. The results also indicate that the adjustment of industrial structure for a low carbon footprint economy is more important than other factors. Because the expansion of international economic activity is associated with industrial structure and energy demands, governments must re-examine their policies that affect these urgent issues in the effort to achieve low carbon footprint economies. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment [ABSTRACT FROM AUTHOR]