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ABSTRACTThe rapid expansion of digital trade is reshaping global economies, offering promising opportunities to mitigate carbon emissions. This study investigates the impact of digital trade on carbon emissions across 27 European Union countries from 2009 to 2023, presenting new insights into the environmental benefits of digital trade. The empirical findings reveal that digital trade significantly reduces emissions by optimizing industrial structure, promoting technological innovation and enhancing human capital. The heterogeneity analysis shows that this reduction effect is more pronounced in Northern, Western and Central Europe, where digital infrastructure and regulatory support may be more robust, and it is also stronger in highly innovative countries compared to less innovative ones. These results underscore the potential of digital trade as a driver of sustainable economic growth, providing valuable insights for policymakers aiming to leverage digitalization to enhance environmental sustainability, align with climate targets and foster a more efficient, low‐carbon economy.

The purpose of this work is to evaluate the redistributive role of government social security transfers on inequality in China. We attempt to answer two questions. First, does inequality of after-transfer income narrow, compared to that of before-transfer income? Second, given the scale and distribution of existing government social security transfers, will a small percentage increase in the transfers narrow or widen the inequality of total income? By employing the methodologies of the Musgrave-Thin (MT) index and decomposition of the Gini coefficient of total income by its sources, we find a positive answer to the first question and a negative answer to the second question. Government social security transfers have a positive role on inequality in the sense that the Gini coefficient of after-transfer income is smaller than that of before-transfer income. However, government social security transfers have a negative role on inequality, as current inequality will go up if there is a universal increase in government social security transfers for all recipients. Of all the components of government social security transfers, formal sector pension benefits and medical expense reimbursements are disequalizing, whereas the dibao and rural pension benefits are equalizing.

Municipal websites serve as central platforms for local governments to share information with the public. They offer authoritative, up-to-date, and free access for researchers to collect city-level data. However, until now, a comprehensive and accurate database of municipal web addresses did not exist. Here, we introduce a complete and manually verified dataset containing information on whether a municipality has an official website and, if so, what its web address is, of all 19,518 municipalities in the United States. With this dataset, researchers can easily conduct systematic searches on municipal official websites for self-defined keywords. The search results are well-suited for text-based analytics. This new data source benefits urban scholars who struggle to access high-quality local data for nationwide studies and contributes to narrowing the data gap.

Chapter 1. Urbanization and urban climate in high-density cities -- Chapter 2. Origins and evolution of the Local Climate Zone classification system -- Chapter 3. Current popular methods for LCZ mapping -- Chapter 4. Recent improvements in supervised pixel-based LCZ classification -- Chapter 5. Application of LCZ to urban heat island studies -- Chapter 6. Application of LCZ to land use and land cover studies -- Chapter 7. Application of LCZ to wind environment studies -- Chapter 8. Application of LCZ to energy consumption and carbon emission modeling -- Chapter 9. Application of LCZ to thermal comfort and health-related studies -- Chapter 10. Application of LCZ to time-series urban morphology detection -- Chapter 11. Application of LCZ in mesoscale meteorological model simulations and climate projection -- Chapter 12. Integration of LCZ to planning strategies -- Chapter 13. Conclusions and outlook.

Migrant workers' social networks are an important source of social support in their collective behavior. This study adopts the whole network method and proposes a measure of accumulated social capital in social networks, which makes up for the insufficiency of direct social capital. It compares the heterogeneous effects of formal and informal networks and accumulated and direct social capital on migrant workers' collective behavioral willingness and dissects their interaction mechanism. The results indicate that informal networks are more conducive to collective behavioral willingness. The formal network is the regulator of the informal network, which can strengthen the effect of the informal network on migrant workers' collective behavioral willingness. Accumulated social capital more robustly affects collective behavioral willingness than direct social capital. Therefore, optimizing the measurement of social capital can help to grasp the social effects of social capital more comprehensively. To sum up, fully stimulating the role of informal network center members as a communication bridge between factory and ordinary migrant workers is conducive to promoting the positive coupling of formal and informal networks and improving governance efficiency.

It is arguable that the most important event in the world economy in recent decades has been the rise of China, from being on a par with Sub Sahara Africa at the start of economic reform to being an economic superpower today. That rise remains under-researched. Moreover, the great structural changes which accompanied economic growth require examination. The nationally representative China Household Income Project (CHIP) surveys, conducted for the years 1988, 1995, 2002, 2007, 2013, and 2018, permit a detailed examination of many important aspects of a country's economic development. Much of the analysis of this Element is closely related to, and largely caused by, China's remarkable economic growth and income distribution over the thirty years. This title is also available as Open Access on Cambridge Core.

AbstractComplicated interaction between risk events is the critical obstacle preventing accurate risk aggregation, which is an important issue in risk management. Recent research integrates interaction into risk aggregation with different perspectives and lacks a comprehensive discussion of this issue, making the risk aggregation process not universal for diverse cases, especially in subjective risk assessment contexts. Therefore, this article proposes a theoretically convincing risk aggregation method embedding different types of interaction to support decision analysis more effectively. The main contributions of this article are as follows: (a) more in‐depth and stricter definitions, measures, and graphical descriptions of different types of interaction are developed to ensure the accuracy of risk aggregation; (b) a formal risk aggregation approach that could apply in both objective and subjective risk assessment contexts while elegantly embedding risk interactions is proposed; (c) the additivity of risks and risk sets in the risk aggregation process is discussed in detail and the conditions for additivity are clarified; (d) the quasi‐two/three‐additive measures, which approximately obtain the aggregate risk value within sufficient reliability, are proposed to greatly reduce the computational cost. To examine the applicability of the proposed general risk aggregation method, a case study is finally presented to show the complete risk aggregation process and its application in the decision‐making stage.