Empowering carbon neutrality: Impact of the technology factor market on China's carbon emission intensity.

Achieving carbon neutrality cannot do without necessary technological achievements, and technology factor market (TFM) is an important tool for the transformation of technological achievements. This study empirically examines the impact and mechanisms of TFM on carbon emission intensity by applying provincial panel data from 2010 to 2022. The result shows that TFM significantly reduces carbon emission intensity.

Made in China 2025: Artificial intelligence intervention and urban green economy development.

Against the backdrop of the profound adjustment of the global industrial structure and the rise of the Fourth Industrial Revolution, the contradiction between rapid economic growth and ecological environmental protection has become increasingly prominent. Promoting green development has become a key path to achieving sustainable urban development. In 2015, China launched the "Made in China (2025)″ policy, aiming to promote industrial transformation and upgrading through intelligent manufacturing and green production.

The spatial impact of population semi-urbanization on sulfur dioxide emissions: Empirical evidence from China.

Population semi-urbanization has become a significant feature in the process of urbanization in some countries, especially China. Although the impact of population and urbanization on the ecological environment was thoroughly studied, the role of the semi-urbanized population needs further discussion. This research studies the spatial effect of population semi-urbanization on sulfur dioxide (SO) emissions through provincial data from China.

Nonnegligible transition risks towards net-zero economy: Lessons from green finance initiatives in China.

Owing to critical policy significance, a growing body of literature has been predominantly concentrating on the social welfare benefits brought by green finance (GF) initiatives. However, there is a paucity of research that quantifies the economic costs of GF initiatives on carbon reduction, raising the increasing concerns about the irreconcilable climate-economy trade-offs. To end this, the present study systematically investigates the influence of GF initiatives on the carbon-related marginal abatement cost (MAC) using two competing hypotheses: regulatory versus technical effects.

Unpacking the green potential: How does supply chain digitalization affect corporate carbon emissions? - Evidence from supply chain innovation and application pilots in China.

The impact of supply chain digitalization (SCD) on carbon dioxide emissions is an emerging area of research, particularly in China, which is the world's largest carbon emitter. This study uses micro-level data on listed companies from 2010 to 2021 to systematically verify the impact and mechanism of SCD on corporate carbon emissions (CCE) through the difference-in-differences model. We determined that SCD can significantly reduce CCE and its implementation path involves three aspects: promoting technological innovation, reducing financing constraints, and increasing market attention.

Does the pilot trading of carbon emission rights cause domestic or international pollution transfer?

The implementation of a carbon emission trading pilot policy has a positive impact on sustainable development but may lead to pollution transfer by enterprises, thereby affecting sustainability. In this study, based on the panel data of Chinese-listed companies from 2007 to 2017, the carbon emission trading pilot policy was treated as a quasi-natural experiment and the Difference-in-Differences model was used to analyze whether these companies engaged in pollution transfer under the policy shock. The results indicated: first, carbon emission trading pilots lead to pollution transfer within mainland China but not across international borders; second, the power and aviation industries exhibited significant pollution transfer phenomena, and the policy also encouraged pollution transfer by non-green transformation enterprises; third, regional heterogeneity further showed that the central region showed no signs of pollution transfer and instead experienced pollution inflow, while the eastern region exhibited significant pollution transfer.

Enhancing water security: Statistical measurement and spatiotemporal analysis.

Water security is essential for ensuring energy security, sustainable development, and human survival. However, due to a series of challenges, including rising water demand, environmental pollution, and water resource shortages, the global water security situation remains concerning and poses a threat to global sustainable development. To assess water security in China, this study uses data from 30 provinces in China from 2012 to 2021.

Regional policy options for carbon peaking in the Yangtze River Delta under uncertainty.

The Yangtze River Delta (YRD) region plays a crucial role in achieving China's carbon peaking goal. However, due to uncertainties surrounding future economic growth, energy consumption, energy structure, and population, the attainment of carbon peaking in this region remains uncertain. To address this issue, this study utilized the generalized Divisia index method to analyze the driving factors of carbon emissions, including economy, energy, investment, and population.

Impact of carbon emission trading system on green technology innovation of energy enterprises in China.

China proposed establishing a carbon emission trading market in its 12th Five-Year Plan to reduce carbon dioxide emissions through market mechanisms, promote the development of science and technology and help China become an environment-friendly country. To examine the impact of carbon emission trading on green technology innovation in Chinese energy enterprises, data from 1993 to 2020 were collected from 494 A-share-listed energy enterprises. Enterprises located in the pilot area of carbon emissions trading were assigned to the treatment group, while those in the non-pilot area were assigned to the control group.

Effects of modern agricultural demonstration zones on cropland utilization efficiency: An empirical study based on county pilot.

The establishment of modern agricultural demonstration zones, as an important initiative to promote the modernization of agriculture, has attracted much attention as to whether its promotion and demonstration can bring about a benign enhancement of the cropland utilization efficiency. This study uses the difference-in-difference model, and with the help of the data of 1872 counties in China from 2006 to 2020. The study shows that the agricultural demonstration zones significantly improve the utilization efficiency of cropland, while there is strong regional heterogeneity in this effect, with a greater degree of promotion in some regions that are lagging in agricultural development.

Public participation and outgoing audit of natural resources: Evidence from tripartite evolutionary game in China.

Public participation is essential to the success of ecological civilization. Whether public participation can effectively play a role in the outgoing audit of natural resources (OANR) is an important issue that remains to be explored. This paper uses the tripartite evolutionary game to explore the mechanism of the audit subjects, the leading cadres, and the public in the OANR.

Evaluating the energy efficiency-enhancing potential of the digital economy: Evidence from China.

Improving energy efficiency can go a long way in helping China address environmental problems it currently faces and help deliver on its pledge of achieving carbon neutrality by 2060. At the same time, innovative production technologies based on digital solutions continue to attract significant attention, owing to their potential to provide environmentally sustainable development opportunities. This study explores whether the digital economy can improve energy efficiency by facilitating input reallocation and promoting better information flows.

Spatio-temporal efficiency of fiscal environmental expenditure in reducing CO emissions in China's cities.

Although market-based CO emission control measures (e.g., carbon tax and carbon trading market) have been deeply discussed, government-based measures have received limited attention.

A risk measurement study evaluating the impact of COVID-19 on China's financial market using the QR-SGED-EGARCH model.

Due to the significant impact of COVID-19, financial markets in various countries have undergone drastic fluctuations. Accurately measuring risk in the financial market and mastering the changing rules of the stock market are of great importance to macro-control and financial market management of the government. This paper focuses on the return rate of the Shanghai Composite Index.

A new perspective to promote sustainable low-carbon consumption: The influence of informational incentive and social influence.

In the era of internet-based information, how to promote sustainable low-carbon consumption by residents through information incentives and social influence is a pressing question that needs to be solved urgently. This study develops an explanatory model to explain how information incentives and social influence affect sustainable low-carbon consumption by residents. Data were collected from residents by large-scale online surveys in China.

Financial inclusion, renewable energy consumption, and inclusive growth: cross-country evidence.

The COVID-19 pandemic has affected the global economy to varying degrees. Coupled with the widening gap caused by the unbalanced distribution of resources, the sustainability and inclusiveness of economic growth have been challenged. To explore the influencing factors of the level of economic inclusive growth among different countries, we used the spatial Durbin model to analyze the relationship between financial inclusion, renewable energy consumption, and inclusive growth based on panel data of 40 countries from 2010 to 2020.

Robust optimization model of anti-epidemic supply chain under technological innovation: learning from COVID-19.

The anti-epidemic supply chain plays an important role in the prevention and control of the COVID-19 pandemic. Prior research has focused on studying the facility location, inventory management, and route optimization of the supply chain by using certain parameters and models. Nevertheless, uncertainty, as a vital influence factor, greatly affects the supply chain.

Energy market integration and renewable energy development: Evidence from the European Union countries.

Based on the panel data of 20 countries in EU during the period of 2007-2019, this paper study the effect of energy market integration (EMI) on renewable energy development (RED). We develop a general equilibrium model to explain how EMI affect the RED and the role of different mechanisms. The empirical results reports that the European EMI increased both the consumption and power generation of renewable energy, which proves a significant positive effect of EMI on the RED.

The development of China's Circular Economy: From the perspective of environmental regulation.

While achieving rapid economic growth, the pressure caused by environmental pollution and resource depletion has increasingly become a bottleneck in China's economic development, making the development of a circular economy particularly important. The extant literature has not focused on the influence of environmental regulation on a circular economy performance. This study uses the metafrontier global direction distance function (Metafrontier-Global-DDF) super-efficiency data envelopment analysis (DEA) model to estimate the circular economy performance and decomposition values of circular economy growth rate in 286 prefecture-level cities in China from 2003 to 2018.

Global 1 km × 1 km gridded revised real gross domestic product and electricity consumption during 1992-2019 based on calibrated nighttime light data.

As fundamental data, gross domestic product (GDP) and electricity consumption can be used to effectively evaluate economic status and living standards of residents. Some scholars have estimated gridded GDP and electricity consumption. However, such gridded data have shortcomings, including overestimating real GDP growth, ignoring the heterogeneity of the spatiotemporal dynamics of the grid, and limited time-span.

Manufacturing transfer and environmental efficiency: Evidence from the spatial agglomeration of manufacturing in China.

Manufacturing transfer is an important factor in optimizing the spatial distribution of resources and promoting regional environmental efficiency. Based on the manufacturing data of 30 provinces in China from 2005 to 2017, the spatial Durbin model is used to investigate the impact of three types of manufacturing transfer and spatial agglomeration effects on environmental efficiency under the spatial weight matrix of economic distance. The results show that the improvement of environmental efficiency is inhibited by the transfer of labor-intensive manufacturing but facilitated by the spatial agglomeration of such manufacturing.

Spatiotemporal carbon emissions across the spectrum of Chinese cities: Insights from socioeconomic characteristics and ecological capacity.

In-depth investigation of the spatiotemporal driver patterns of city carbon emissions is vital toward establishing carbon neutrality, as such knowledge would aid policymakers in formulating differentiated emission reduction policies. Through developing a unique carbon emission dataset and applying a spatiotemporal logarithmic mean Divisia index decomposition approach, we explored the spatiotemporal drivers of CO emission for diverse cities in China categorized by economic structure and population size during 2002-2018. The results highlighted GDP per capita and industrial structure as the most positive and negative drivers, respectively, with the former overweighing the latter before 2016.

Impacts of renewable electricity standard and Renewable Energy Certificates on renewable energy investments and carbon emissions.

Accelerating the development of renewable energy is seen as an effective way for achieving the goals of carbon peak and carbon neutrality. The polices of Renewable Electricity Standard (RES) and Renewable Energy Certificates (REC) play increasing and important roles in developing renewable energy. In this paper, we develop an analytical model to analyze the impacts of the interaction of RES and REC polices on the renewable energy investment levels of an electricity generation firm and the carbon emissions.

How do energy prices affect economic environment under different price regulation policies?

Energy is an essential factor for the survival of industries. Energy can affect the industrial productivity related to the economic activities, and the fluctuation of energy price will influence the final energy consumption level. In this paper, we use the input-output price model to study the relationship between the fluctuation of energy price and the change of economic level under different price control scenarios.

Economic and intensity effects of coal consumption in China.

The increase in coal consumption and its impact on the environment has become a bottleneck that hinders sustainable development. This paper discusses the effect of economic growth and coal intensity on China's coal consumption during 2005-2017 using the Laspeyres index decomposition method. The decoupling of coal consumption from economic growth was examined in conjunction with the Tapio elasticity index, and the decoupling contributions of economic growth and coal intensity are further determined.