Structural emissions reduction of China's power and heating industry under the goal of "Double Carbon": A perspective from input-output analysis

Influence of marine industrial agglomeration and environmental regulation on marine innovation efficiency—From an innovation value chain perspective

How does industrial co-agglomeration affect high-quality economic development? Evidence from Chengdu-Chongqing Economic Circle in China

Does natural resources matter for sustainable energy development in China: The role of technological progress

This paper estimates the linkages among total Sulphur dioxide (SO2) emissions, total GDP and energy efficiency using China’s provincial panel data from 2002 to 2015. We investigate total emissions rather than per capita emissions or ambient concentrations, since it is total emissions that the environment cares about. Energy efficiency is estimated using stochastic frontier analysis and decomposed into both persistent and transient efficiency. We then investigate the long-run dynamics among SO2 emissions, economic growth and energy efficiency by employing the panel-based error correction model and taking the effects of cyclical variations into account. Our analysis shows that GDP has a positive impact on total SO2 emissions in the short run and gains in energy efficiency have a significant negative effect on emissions in the long run. By controlling the effects of business cycle, the effects of GDP on emissions remain positive in both short and long run. Cross-sectional analysis provides similar insights. We argue that economic growth itself is an emission generator. Therefore, the government needs to establish a long-run strategy to curb the emissions by improving energy efficiency.

Long-run dynamics of sulphur dioxide emissions, economic growth and energy efficiency in China

Is resource abundance a curse for green economic growth? Evidence from developing countries

Financial development, productivity, and high-quality development of the marine economy

Impact of sci-tech finance on the innovation efficiency of China's marine industry

Uncertainty of best management practice (BMP) effectiveness is an important factor in the development of watershed management plans. This study explored the uncertainty of BMP effectiveness in reducing total nitrogen (TN) load owing to the uncertainty in hydrological parameters, thereby improving their reliability. A watershed model, annualized agricultural non-point source pollution (AnnAGNPS), was employed to evaluate the effectiveness of the four potentially feasible BMPs (i.e., riparian buffer, fertilization reduction, no-tillage, and parallel terraces) in the Shanmei Reservoir watershed, located in the southeastern coastal region of China. Annual and seasonal uncertainty variations in BMP effectiveness were evaluated based on ten parameter sets selected from 1000 parameter groups using Latin hypercube sampling. The results showed that the uncertainty of BMP effectiveness in reducing the TN load was larger than the uncertainty of TN load simulation at annual and seasonal time scales. The BMP effectiveness tended to be higher in summer than in the other seasons. The uncertainty of BMP effectiveness varied seasonally, and it was always lower in summer for most BMPs. This indicated that the impact of BMPs on reducing TN load was more effective, with a higher reduction rate and lower uncertainty in summer. Among the BMPs, the parallel terrace was the most effective measure for reducing TN load since it had the highest reduction rate and relatively low uncertainty. Although this study is a case study, it can provide a scientific reference for decision-making in uncertain situations when AnnAGNPS is applied for water quality simulations. 

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Binbin Lu

Papers

Is resource abundance a curse for green economic growth? Evidence from developing countries

Financial development, productivity, and high-quality development of the marine economy

Impact of sci-tech finance on the innovation efficiency of China's marine industry

Uncertainty Evaluation of Best Management Practice Effectiveness Based on the AnnAGNPS Model

Impact of capital investment and industrial structure optimization from the perspective of "resource curse": Evidence from developing countries