Energy saving effects of digital technologies from a life-cycle-analytical perspective: evidence from China.

Digital technology has become a key driver of industrial transformation and resource utilization. However, no consensus has been reached on the exact relationship between digital technology and energy utilization. This study adopted a comprehensive index system to investigate the impact of digital technologies on energy utilization across 30 provinces in China. The results reveal a non-linear relationship between digital technologies and energy efficiency in China (represented by an N-curve), which is validated by robustness tests. This indicates digital technology exerts a fast-slow-rapid impact on improving energy efficiency throughout its initial-rapid-stable developmental stages. Geographically, this effect is more pronounced in eastern and central China, as well as in areas with lower energy efficiency. Furthermore, the impact of digital technology on total energy consumption can be characterized by an inverted N-shaped curve. As regional energy efficiency improves, the energy consumption associated with the development of digital technologies gradually decreases. These findings can contribute valuable insights for enhancing energy efficiency and provide practical guidance for the formulation of energy and digital technology policies.

From pilots to demonstrations: the green economic development effect of low-carbon city pilot policies.

Accurately assessing the impact of low-carbon urban construction on green economic development has great significance for achieving economic development with environmental protection, and for building an ecological civilization and a beautiful China. Based on panel data for 271 cities in China from 2004 to 2019, multi-period and spatial difference-in-difference econometric models were used to comprehensively investigate the impact of three batches of low-carbon city pilot policies on green economic development, finding the following: The contribution of low-carbon urban construction on urban green economic development is significant and positive, and still holds under a series of robustness tests. Parallel trend tests also show a lag in the policy effect, and the effect is strengthened over policy implementation time. Green orientation of technological progress, green transformation of industry, and green upgrade of consumption are important channels for the effect of the policies. The promotion effect of low-carbon city construction is stronger in the central and northern cities, and in cities with high green economic development, than in western and southern cities, and those with low green economic development. Construction of low-carbon pilot cities not only promotes their own green economic development, but also that in neighboring cities, exerting a demonstration effect. This effect is greater in urban areas. This study provides empirical support for policy planning to promote low-carbon urban construction across the country.

Study on the impact of digital economy development on carbon emission intensity of urban agglomerations and its mechanism.

Using fixed, mediating, and moderating effect models, we explored the impact of the digital economy on carbon emission intensity and its mechanisms based on panel data of 100 cities in 6 Chinese urban agglomerations from 2011 to 2019. The results show that (1) the digital economy development in the urban agglomerations can significantly reduce carbon emission intensity. (2) The digital economy in the urban agglomerations can indirectly reduce carbon emission intensity through the channels of green technology innovation and the information communications technology (ICT) industry. Furthermore, a higher degree of marketization in the urban agglomerations leads to a more pronounced effect of the digital economy on reducing carbon emission intensity. (3) The impact of the digital economy on the carbon emission intensity in the urban agglomerations is regionally heterogeneous. When the carbon emission intensity is at different quantiles, the effects of the digital economy on reducing carbon emission intensity are different. (4) The digital economy development has different impacts on carbon emission intensity when different urban agglomerations are approved. The digital economy development in the urban agglomerations can better reduce carbon emission intensity than that in other cities. Currently, China is in a significant period of rapid digital economy development and energy conservation and emission reduction. We revealed some new features of the digital economy and carbon emission intensity in urban agglomerations, providing a reference for promoting the construction of urban agglomerations, developing the digital economy, and reducing carbon emission intensity.

Spatial-temporal and structural differences in the carbon footprints embedded in households food waste in urban and rural China.

Household food waste (HFW) accounted for about 66% of global food waste's total carbon footprints (CF). Based on China's macro-panel food consumption data, this paper measures the urban-rural and provincial differences in the HFW CF from scale, structure, and temporal-spatial evolution perspectives. The results indicate that HFW and CF continue to grow, and the total CF and per capita HFW in urban households are higher than in rural households. The structural differences between urban and rural HFW CF vary significantly over time and spaces, which reflected that rural households in the southeastern coastal areas have higher per capita HFW CF than urban in 2019. The research results help to clarify the distribution and evolution pattern of HFW CF in China and offer new ideas for the differentiated governance of CF reduction in the food system.