Can China's carbon intensity constraint policies improve carbon emission performance? Evidence from regional carbon emissions.

Carbon Intensity Constraint Policies (CICPs) are vital for addressing climate change challenges and advancing sustainable development. Since 2010, China has rolled out three five-year CICPs. However, there is limited understanding of their impact on carbon emission performance (CEP). Addressing this, this study pioneers the exploration of the CICP's impact on China's CEP. Drawing from government intervention and green paradox theories, this study highlights a concerning scenario: local governments achieve emission targets via excessive intervention. For deeper insights, this study melds the overall technology frontier concept with a non-radial, non-angle directional distance function, introducing a novel efficiency model rooted in the Data Envelopment Analysis (DEA) method. This offers a CEP measure across 30 Chinese provincial regions from 2002 to 2019. Using the quasi-difference-in-differences (quasi-DID) and moderated mediation models, this study ascertains the presence of the green paradox, uncovers its reasons, and suggests mitigation strategies. The results indicate that high government intervention diminishes CEP. This negative effect intensifies under greater regional fiscal pressure. Alarmingly, local authorities' eagerness to meet targets shows a counterproductive, inverted N-shaped trend regarding CICPs' time-based influence on regional CEP. Moreover, the impact varies based on regional economic development levels and stages. This study has ensured the robustness of the findings via parallel trend tests, parallel exclusion policies, a strengthened quasi-DID framework, and diverse control variable configurations. This study underscores the need for more balanced government intervention. It offers valuable policy insights, guiding China's upcoming CICP phase to realize the ambition of peaking carbon by 2030 and achieving carbon neutrality by 2060.

Can environmental information disclosure spur corporate green innovation?

How can the disclosure of environmental information (EID) stimulate corporate green innovation (CGI)? This research challenges the prevailing assumption that environmental regulations impact CGI by influencing corporate compliance costs. Instead, it offers a fresh theoretical framework to explain how EID affects CGI. This study combines signal theory and resource dependence theory to develop a moderated mediation model, illustrating how EID reduces information asymmetry and alleviates corporate financial constraints (CFC). To test these hypotheses, this study utilized data from A-share listed companies spanning the period 2004 to 2017. This study considered the year 2009 as a crucial point of analysis, marking the period before and after the implementation of China's first EID policy in 2008. This study employed a Difference-in-Differences (DID) model. The results reveal that EID has a positive impact on CGI by mitigating CFC, with non-state-owned enterprises (non-SOEs) exhibiting a more pronounced mediating effect. These findings remain robust even when the parallel trend assumption was tested to eliminate interference from other factors. This study unveils the mechanism through which voluntary environmental regulation, represented by EID, influences CGI by mitigating information asymmetry and alleviating CFC. These results deviate from the predictions of compliance cost theory and Porter's hypothesis regarding the impact of traditional environmental regulations on CGI, providing a fresh perspective on the role of voluntary environmental regulation in driving CGI.

Chinese water managers' long-term climate information needs.

Decision-makers can use climate information to adapt to the risks of climate variability and change. The adequate provision of climate information is critical for adaptation planning in climate-sensitive sectors. However, for climate products to be appropriately tailored for these sectors, it is necessary to identify and understand users' specific information needs. The aim of this research was to assess the use of and need for climate information by water managers in China, with a focus on long-term climate information in the Yellow and Yangtze River basins. Data was collected from regional water managers, and climate information providers using a workshop (n = 15), and semi-structured interviews (n = 27). It was found that water manages in China required climate data with different timescales and variables. The findings show that water managers receive historical, weather and seasonal forecasts data from the China Meteorological Administration (CMA) mainly because there is a close dialogue between data providers and users in terms of historical, weather, and seasonal climate data that does not exist with regard to climate change projections. The use of external sources of climate change projections by users in China allows critical evaluation of climate services provided by the CMA; from that, an understanding of the limitations of current services such as limited variables and timescales was established.