0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Policy & Risk Sign in to save

Analysis of the spatio-temporal evolution of sustainable land use in China under the carbon emission trading scheme: A measurement idea based on the DID model

PLoS ONE 2023 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yingjuan Ma, Haoyuan Feng, Yanjun Meng, Longfei Yue

Summary

Researchers applied a difference-in-differences estimation model to assess the effect of China's carbon emission trading scheme on sustainable land use across provinces from a spatio-temporal perspective. The scheme improved sustainable land use in pilot areas from both economic and environmental dimensions, with effects concentrated in eastern regions and urban agglomerations including the Pearl River Delta.

Study Type Environmental

Sustainable development is the theme of world economic development in the 21st century. As a key part of sustainable development, sustainable land use (SLU) encompasses economic development and environmentally friendly and social progress. In recent decades, China has formulated many environmental regulatory policies to achieve sustainable development and "carbon peaking and carbon neutrality (double-carbon)" goals, among which the carbon emission trading scheme (CETS) is the most representative and provides valuable research. In this paper, we aimed to reflect the spatio-temporal evolution of SLU in China under the influence of environmental regulatory policies through an indicator measurement strategy based on the DID estimation method. The study conclusions are as follows: (1) The CETS can effectively improve SLU from the perspectives of economic development and environmentally friendly progress, and the impact has primarily been in the pilot areas. And, its effectiveness is closely linked to local locational factors. (2) With respect to the dimension of economic development, the CETS has not changed the provincial distribution patterns of SLU; rather, it continues to remain "high to low, east to west". However, regarding the environmentally friendly progress dimension, the CETS has significantly changed the provincial distribution patterns of SLU, which are characterized by spatial agglomeration with urban agglomerations such as the Pearl River Delta (PRD) and the Yangtze River Delta (YRD) as the core. (3) The screening results of the SLU indicators based on economic development showed that the CETS primarily improved the innovation capacities of pilot regions, and the impacts on economic levels were relatively small. Similarly, the screening results of the SLU indicators based on environmentally friendly progress showed that the CETS had primarily acted on reducing pollution emission intensity and strengthening greening construction, revealing only short-term effects on improving energy use efficiency. Based on the above, this paper explored the meaning and role of the CETS in more detail, with a view to providing insight into the implementation and formulation of environmental regulation policies.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Sustainable Management of Land Resources: The Case of China’s Forestry Carbon Sink Mechanism

Researchers used a difference-in-differences model on 30 Chinese provincial-level regions from 2005 to 2020 to evaluate which forestry carbon sink mechanism (FCSM) policies most effectively generated socioeconomic value, finding that China's forest carbon policies have underutilized potential for meeting carbon neutrality goals.

Article Tier 2

Will China’s audit of natural environmental resource promote green sustainable development? Evidence from PSM-DID analysis based on substantial and strategic pollution reduction

This study used a multi-period difference-in-differences model to test whether China's natural resource audit policy promoted green sustainable development, finding that audited regions showed measurable improvements in environmental performance metrics. The results suggest accountability mechanisms can be effective tools for encouraging local green governance.

Article Tier 2

Measurement and temporal and spatial characteristics of agricultural eco-efficiency under climate change: a case study of Anhui, China

Researchers applied super-efficient DEA-SBM analysis to measure agricultural eco-efficiency across Anhui Province, China, quantifying non-point source pollution from livestock breeding and chemical fertilizers. They found that eco-efficiency followed an 'inverted N' trend over time and exhibited spatial agglomeration patterns, with significant north-south regional differences driven by climate change and the 'Matthew effect.'

Article Tier 2

Green and Low Carbon Development Performance in Farmland Use Regulation: A Case Study of Liyang City, China

Researchers used system dynamics modeling to simulate the impacts of farmland use regulation scenarios on green and low-carbon development performance across 10 towns in Liyang City, China, finding that scenarios allowing construction land to encroach on farmland produced the lowest comprehensive green development index at 0.23. The study identified spatial heterogeneity in development performance and categorized villages into four types to guide differentiated farmland regulation policies.

Article Tier 2

Watershed-Based Governance for Agricultural Non-Point Source Pollution: Empirical Insights from the Yangtze River Economic Belt

Researchers examined how China's 'Guiding Opinions on Strengthening Agricultural Non-Point Source Pollution Prevention and Control' affected pollutant emissions across the Yangtze River Economic Belt, using econometric analysis across three governance pathways. They found the policy significantly reduced emissions by curbing mulch film use and consolidating breeding farms, but had no measurable effect on rural domestic pollution due to pre-existing infrastructure investments.

Share this paper