Venture capital, innovation channels, and regional resource dependence: Evidence from China.

Although the literature predominantly emphasises the crucial role of technological innovation in alleviating resource dependence, limited attention has been given to the pivotal role of capital in driving such innovation. As a critical factor in technological advancements and productivity enhancement, venture capital has a substantial function in the utilisation of resources and the development of sustainable energy sources. Drawing upon panel data from 30 provinces in China, this study explores how venture capital and resource dependence are interrelated. Our research reveals that venture capital effectively mitigates regional resource dependence by facilitating increased investment in innovation channels. However, the weakening of regional human resources mitigates venture capital's diminishing impacts on resource dependence. These findings provide valuable insights for countries seeking to reduce their dependence on natural resources and achieve long-term economic sustainability.

Navigating the nexus: Geopolitical risk, fossil energy prices, and European utility stock returns - Implications for environmental management and energy security in a conflict-ridden global landscape.

This study employs a TPV-VAR analysis method to explore the linkage between GPR, fossil energy prices, and utility stock returns across 16 European countries from August 2009 to April 2023. Our findings reveal variations over time in how GPR influences the prices of fossil energy and utility stock returns. GPR significantly influences stock returns in the short term (1 month), with prolonged effects observed during major geopolitical incidents, while showing no significance in the medium (6 months) and long term (12 months). Further, the Russia-Ukraine War had a more pronounced impact on fossil energy prices and utility stock returns compared with the Arab Spring and Brexit. Finally, GPR shocks exhibit heterogeneous effects on different fossil energy types, with oil prices being more affected than coal and gas prices. Energy prices act as a channel through which GPR influences utility stock returns. This study elucidates the linkage between GPR, prices of fossil energy, and stock returns, offering valuable perspectives for governments and investment decision-makers into risk management.

Carbon dioxide emissions and Chinese OFDI: From the perspective of carbon neutrality targets and environmental management of home country.

Studies investigating the relationship between foreign direct investment (FDI) and the environment have focused predominantly on the effects of FDI on host country environments with less attention paid to the impact on home countries. This study turns its attention to the effects of outward foreign direct investment (OFDI) on a home country's carbon dioxide emissions. We use three paths through which OFDI can affect the carbon dioxide emissions of a home country, including economic scale, technology level, and industry composition effects. Using a simultaneous equation model and panel data of 30 provinces of China for the period of 2003-2017, this study finds that OFDI is positively related to the carbon dioxide emissions of the home country, though the effects of emissions have weakened dynamically due the technology developments brought about by OFDI. More specifically, we find that both 'pollution haven' and 'pollution halo' effects existing in three different paths. The paths of industry composition and technology level show negative effects on carbon dioxide emissions, whilst the path of economic scale is positive. OFDI is also found to be negatively related to the carbon intensity of the home country.

Analysis of the spatial correlation pattern of logistics carbon emission efficiency and its influencing factors: the case of China.

As logistics carbon emission efficiency is an essential industry linking regions, investigating this issue from a spatial correlation perspective is practically significant. Utilizing data from 282 prefecture-level cities spanning 2006 to 2019, we used a super slacks-based measure model, a modified gravity model, motif analysis, the Infomap algorithm, and an exponential random graph model to analyze the spatial correlation patterns and influencing factors of logistics carbon emission efficiency. The following conclusions were drawn. (1) The spatial correlation of logistics carbon emission efficiency during the study period exhibited a core-edge pattern, with the central region emerging as a high-correlation hub. (2) The scale of the spatial association network community of carbon emission efficiency in the logistics industry changed constantly, and the stability of the network community structure gradually increased. From a microstructural perspective, the dispersed-mode structure was a pivotal element in the formation of the spatial correlation network of logistics carbon emission efficiency. (3) Node interaction tendencies were a critical force driving network formation. Financial investment, government concern, international openness, population density, and innovation ability were conducive to the formation of spatial correlations of logistics carbon emission efficiency.