Investment and construction of power infrastructure are directly related to the achievement of sustainable development goals. China's trade and investment with BRI (Belt and Road Initiative) countries have maintained growth trend. The development and construction of these investment projects certainly have impacts on the economic development mode and sustainable development goals of the countries. On collecting the basic information of the renewable energy investment projects, this paper compares and calculates the current power technology structure and grid emission factors of the host countries, and analyses the carbon emission level of electricity generation from the perspective of the whole life cycle. Making it as the benchmark, this paper also analyzes the current China's invested wind and solar energy projects and the carbon emission reduction benefits to the host country. The results show that at present, China has about 36 renewable energy investment projects in BRI countries, with an installed capacity of 15.75GW (China as the project owner or investor), and achieve at least 48.69M tCO2 emission reduction. This shows that China's effective investment and implementation of the green projects will provide a strong impetus for the energy transformation and the improvement of their energy security in BRI countries.

SO₂ emissions have been declining in China recently. The emission reduction has mainly been achieved engineering reduction, structural reduction, and administrative reduction. In this paper, three key industries (electricity generation, steel, and cement) are selected to measure the effects of SO₂ emission reductions, the synergy effects of energy saving, and CO₂ emission reduction. The main results show that, during the period of the ‘11th Five-Year Plan’, engineering reduction of coal-fired power plant desulfurization played the most crucial role in the emission reduction; both engineering reduction and structural reduction can achieve low-pollution emission, but the contributions are not the same due to the divergence of relevant industries. Generally speaking, structural reduction can relatively easily achieve the synergy effect of the main pollutants and GHGs; in comparison, however, engineering reduction does not easily achieve the synergy effect. During the ‘13th Five-Year Plan’ period, the following plans are proposed: strengthening the front pollution control, increasing the engineering reduction, narrowing the difference between the pollution reduction engineering ability and the actual pollution reduction effect, and strengthening the supervisory and administrative effect of both the approval of the front end and the running of the middle end. POLICY RELEVANCE China is on the way to realize industrialization and urbanization. The climate-friendly environmental protection strategy is particularly important for rapidly developing countries such as China, because it can address air pollution and climate change issues at the same time in a more economically efficient manner. This paper selects three key industries to evaluate current pollutant control policy synergy effect from the ‘11th Five-Year Plan’ to the ‘12th Five-Year Plan’ period in order to give more sense to policy makers during 13th Five-Year Plan. The estimate of this study shows that the control of pollutants can generally have synergic control effects on GHG emissions and give detailed measures for 13th Five-Year Plan.

The strategic transition from fossil energy to renewable energy is an irreversible global trend, but the pace of renewable energy deployment and the path of cost reduction are uncertain. In this paper, a two-factor learning-curve model of wind power and photovoltaics (PV) was established based on the latest empirical data from the United States, and the paths of cost reduction and corresponding social impacts were explored through scenario analysis. The results demonstrate that both of the technologies are undergoing a period of rapid development, with the learning-by-searching ratio (LSR) being greatly improved in comparison with the previous literature. Research, development, and demonstration (RD&D) have contributed to investment cost reduction in the past decade, and the cost difference between high and low RD&D spending scenarios is predicted to be 5.5%, 8.9%, and 11.27% for wind power, utility-scale PV, and residential PV, respectively, in 2030. Although higher RD&D requires more capital, it can effectively promote cost reduction, reduce the total social cost of deploying renewable energy, and reduce the abatement carbon price that is needed to promote deployment. RD&D and the institutional support behind it are of great importance in allowing renewables to penetrate the commercial market and contribute to long-term social welfare.

Global inequity and the unbalance of water resources has been a critical issue for many years; and the Chinese per capita water resources are only 1/4 of the global average. Meanwhile, as the Chinese economy is growing rapidly, the demand of Chinese industrial water use is also increasing. In this case, it is important to balance the relationship between economic growth and industrial water use. In this study, a reduction model is established for the northeastern, northern coastal, eastern coastal, southern coastal, middle Yellow River, middle Yangtze River, southwestern, and northwestern regions to verify the environmental Kuznets curve (EKC) for their respective industrial water use and provide theoretical support for decision making from an economic perspective. It adopts the per capita industrial water use and GDP of the eight economic zones from 2002 to 2014. The unit root test and co-integration test were adopted to analyze the stationarity of the data, and the triple reduction model was used for the fitting of variables. The relationship between per capita industrial water use and GDP showed an inverted U-shaped curve from 2002 to 2014 for China, as well as for the eastern coastal and middle Yangtze River regions, with the coordinates of the turning points being (9.8749, 4.6735), (10.3098, 5.4783), and (9.8184, 5.0622), respectively. The per capita GDP at the turning point of the inverted U-shaped curve is 18,000–30,000 Yuan (at constant prices from 2000). This study provides important thoughts and lessons for collaborative research into the relationship between industrial water consumption and economic development. The central government should focus on the central and western regions when creating policies for water resource management and technological development to improve their industrial water use efficiency.

China has submitted its nationally determined contribution to peak its energy-related emissions around 2030. To understand how China might develop its economy while controlling CO₂ emissions, this study surveys a number of recent modeling scenarios that project the country’s economic growth, energy mix, and associated emissions until 2050. Our analysis suggests that China’s CO₂ emissions will continue to grow until 2040 or 2050 and will approximately double their 2010 level without additional policy intervention. The alternative scenario, however, suggests that peaking CO₂ emissions around 2030 requires the emission growth rate to be reduced by 2% below the reference level. This step would result in a plateau in China’s emissions from 2020 to 2030. This paper also proposed a deep de-carbonization pathway for China that is consistent with China’s goal of peaking emissions by around 2030, which can best be achieved through a combination of improvements in energy and carbon intensities. Our analysis also indicated that the potential for energy intensity decline will be limited over time. Thus, the peaking will be largely dependent on the share of non-fossil fuel energy in primary energy consumption.

Linking carbon emissions trading systems across countries has become an important tool for global emission reduction. The three high-emission Asian countries, China, Japan, and South Korea (ROK), all have initiated carbon trading and published ambitious Intended Nationally Determined Contribution targets. Since 2016, the three countries have discussed establishing a long-term unified market for carbon emissions trading, and have sought a scheme for such exchange. This study aimed to investigate whether linking the carbon emissions trading systems of these three countries could potentially achieve more ambitious emission reduction targets. A dynamic energy-environmental version of the Global Trade Analysis Project model was used to simulate carbon market linkages across the three countries. The results indicated that a linked China–Japan–ROK carbon market would be highly cost-effective, have positive economic benefits for all three countries, and improve the carbon market’s liquidity and transaction scale. Under a scenario with no carbon market linking, the economic losses in China, Japan, and ROK would be $51.55 billion, $13.55 billion, and $74.19 billion, respectively. Meanwhile, with carbon trading linking, the losses would be reduced to $47.08 billion, $5.37 billion, and $9.10 billion, respectively. Therefore, a joint China–Japan–ROK carbon market could greatly promote the adoption of market-based tools for emission reduction.