We investigate the phenomenon of home bias in scientific citations, where researchers disproportionately cite work from their own country. We develop a benchmark for expected citations based on the relative size of countries, defining home bias as deviations from this norm. Our findings reveal...

The trade war between the United States and China since 2008 has opened strategic opportunities to increase the economic market in ASEAN countries. This research aims to answer whether the trade war led to an oligopoly or a systemic market structure as a strategy for increasing demands,...

With the emergence of generative Artificial Intelligence (AI) tools (including large language models) in the popular discourse, the debate on managing, governing, and regulating the impacts of AI on society has grown considerably. In part due to the unique breadth of AI's impacts and its varying...

The essay delves into the impact of environmental uncertainty on asymmetric mispricing, utilizing the data from listed firms in China spanning from 2007 to 2023. Our analysis reveals that environmental uncertainty amplifies stock mispricing within capital markets, whether upward or downward....

As the literature documents inconclusive evidence on whether tax avoidance affects CEO turnover, we examine the impact of tax avoidance on forced CEO turnover and the moderating effect of ownership structure, political connections and regional tax enforcement on this relationship. Using data on...

This paper examines the effect of government procurement on the firm-level labor share in China. Using manually collected local government contract data matched with A-share non-financial listed firms from 2015 to 2023, we find that firms receiving government procurement contracts experience...

This paper develops an analytical framework for examining land taxation in the context of contemporary urban economies. We dissect the China case for simulation, comparing two model-based scenarios where revenue losses from consumption taxes are replaced by higher income taxes and land taxes. We...

As the combination of digital technology and traditional inclusive finance, digital inclusive finance has displayed the huge potential to promote green low-carbon energy transition. Although theoretically, digital inclusive finance can contribute to achieving this goal, its practical effects and...

The prominence of Energy Performance Contracting (EPC) has grown particularly dramatically in recent years, prompting countries to enact policies aimed at fostering wider EPC adoption and backing up the growth of Energy Service Companies (ESCOs). However, the effectiveness of these overarching...

Russia's full-scale invasion of Ukraine in February 2022 has triggered profound structural changes in the country's economy, reshaping patterns of foreign trade, foreign direct investment and sectoral specialisation. This paper analyses the shifts in Ukraine's trade and investment structures...

Based on panel data from 276 Chinese cities between 2004 and 2021 and applying a difference-in-differences approach, this study explores the relationship between the New Energy Demonstration City (NEDC) policy and local green technological innovation (GTI) capabilities, along with its mechanisms...

To address climate change and fulfill its international commitments to reducing carbon emissions, China has accelerated the low-carbon transformation of the thermal power sector through a carbon trading mechanism. However, as the "30·60″ dual-carbon target approaches, the carbon market still...

Whether China can avoid the middle-income trap has been the subject of extensive research. Currently classified as an upper middle-income country, China increasingly exhibits similar characteristics as countries currently experiencing the middle-income trap. However, using evidence from China's...

Der vorliegende Bericht untersucht die internationale Verbreitung und strukturelle Ausprägung zweier Schlüsseltechnologien - Künstliche Intelligenz (KI) sowie alternative Antriebe und klimafreundliche Kraftstoffe - auf Basis eines webAI-gestützten Analyseansatzes. Als Datenbasis dient der...

This study examines how soft skills education performatively shapes business realities across cultural boundaries. While prior research has treated soft skills as static capabilities, we demonstrate their role as performative forces actively reshaping organizational practices. Through in-depth...

China's pursuit of carbon neutrality will entail a transformation of its power generation portfolio through extensive investment in renewable energy, underscoring the need for expanding planning and operating reserves to maintain power system reliability. However, efficient reserve management is...

The design of energy policy mixes plays a critical role in low-carbon transitions. While an increasingly diverse and extensive array of policy mixes may enhance systemic transformation, it can also generate policy conflicts that undermine effectiveness. To examine this tension, this study...

Employees' creative ideas are internal resources that may enable organisations to adapt to external change, create competitive advantage, and develop growth opportunities. Managerial rejection of innovative ideas is a significant challenge that may diminish employee motivation and willingness to...

This study explores a new channel through which environmental, social and governance (ESG) reporting mandates implemented in one country can influence firms' ESG performance in another country, focusing on returnee CEOs in China who studied or worked abroad. We find that compared with Chinese...

We show that executives' early-life poverty experiences reduce both internal (executive-employee) and external (executive-peer) corporate pay disparities. Three mechanisms drive this effect: increased risk aversion in poverty-exposed executives, strategic avoidance of negative media coverage to...

Weibull distribution is extensively used for wind resource assessment in fitting wind speed frequency distribution because of its reliability and simplicity. Its precision is highly dependent on the parameter estimation methods and different methods may result in varied results. This paper...

Global warming and energy security challenges have intensified globally, compelling nations to pursue sustainable energy transition pathways. Artificial intelligence (AI) plays a pivotal role in addressing complex systemic challenges and enhancing industrial efficiency, and is widely recognized...

Artificial intelligence (AI) applications in China's smart city initiatives are widely regarded as having the potential to enhance energy efficiency, yet whether such applications may trigger or exacerbate the energy rebound effect remains an open empirical question. Using panel data for 279...

The digital transformation of the energy sector is vital to achieving carbon neutrality and sustainable development goals. In China, significant disparities in the adoption of these technologies persist across regions and enterprise types, yet the underlying institutional and organizational...

Rapid artificial intelligence (AI) advancements have emerged as a critical catalyst in curbing carbon emissions and fostering sustainable growth. Drawing upon balanced panel data from 30 Chinese provinces from 2000 to 2022, this study employs the spatial Durbin model, along with mediating and...

The evolving geopolitical landscape has placed South Africa at a crossroads, torn between its historical ties to the West and its growing relationships with BRICS+ nations, particularly China and Russia. The country's recent political shift, marked by the African National Congress (ANC) losing...