Impact of carbon trading on agricultural green total factor productivity in China

Dai-song, YU; Liu, Linxin; Gao, Shanhong; Yuan, Shiyu; Chen, Haipeng; Shen, Qianling

doi:10.1016/j.jclepro.2022.132789

Cited by 65 publications

(54 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many previous studies by scholars have confirmed the important role of environmental regulation in the environmental field, but most of the literature studies only focus on a single indicator, the role of environmental regulation in promoting agricultural development's green transformation comes from agricultural green technology innovation and agricultural green total factor productivity (Yu et al, 2022). Therefore, the paper integrates environmental regulation, agricultural green technology innovation, and agricultural green total factor productivity into a research framework, which enriches the current research and is of great significance.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in order to reduce pollution, ER will inevitably affect the efficiency of agricultural production. In areas with low economic development levels, enterprises producing these machines may be squeezed out of the market due to ER, It will ultimately have an impact on the increase in productivity of the green total factor in agriculture (Yu et al, 2022). Figure 2 depicts the evolution of the real PGDP per capita log distribution across Chinese provinces.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Environmental regulation, agricultural green technology innovation, and agricultural green total factor productivity

Sun

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

In order to promote the green transformation of agricultural development, we used a partial linear function coefficient panel model to measure the impact of environmental regulations in 30 provinces and cities in China on agricultural green technology innovation and agricultural green total factor productivity. The advantage of this model is that it can take into account the heterogeneity of regional economic development levels, that is, by introducing variables that are functions of regional economic development levels as coefficients of environmental regulation. The research results show that: when the level of regional economic development is low, environmental regulation has a limited impact on agricultural green technology innovation and agricultural green total factor productivity, but as the level of regional economic development gradually increases, environmental regulation has a more significant impact on the two. And environmental regulation has a greater impact on agricultural green total factor productivity than on agricultural green technology innovation. Based on the research results, policy recommendations are suggested.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Environmental regulation, agricultural green technology innovation, and agricultural green total factor productivity

Sun

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…As a critical supporting division for economic improvement, agriculture has received increased consideration to its development mode. Globally, due to the impact of COVID-19, a growing number of individuals recognize that agricultural products are “good medicine” to remedy infections, thus green and healthy agricultural products and agricultural advancement strategies have been warmly welcomed by everyone [ 1 , 2 ]. According to FAO’s The State of Food Security and Nutrition in the World in 2021, 720–811 million individuals around the world confronted starvation in 2020, an increase of 161 million compared to 2019 [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Convergence of Agricultural Green Total Factor Productivity in China

Zhu

Shi

et al. 2022

IJERPH

View full text Add to dashboard Cite

The power source, spatial-temporal differentiation and convergence of the growth rate of green total factor productivity in China’s agriculture were analyzed. The Malmquist index was used to measure the growth rate, and the spatial-temporal convergence was tested by σ convergence, absolute β convergence, conditional β convergence and dynamic spatial convergence. The study drew conclusions that the impetus for the intensive growth of green agriculture was insufficient, and the driving force for the growth of agricultural green total factor productivity (AGTFP) in the eastern, western and central region was green technology progress. In addition, AGTFP did not have an absolute σ convergence trend. Dynamic spatial absolute β and conditional β convergence indicated that regional differences were not completely related to regional endowment conditions, and regional green agricultural production was unbalanced. This study provides an important support for regional green development in China’s agriculture.

show abstract

“…To achieve agricultural carbon emission reduction, it is necessary to innovate agricultural development models and enhance the efficiency and level of agricultural production Guo et al, 2022;Yu et al, 2022). From the international experience, the more successful agricultural modernization models are broadly divided into two kinds.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, carbon trading policies are also considered as an effective measure to achieve carbon mitigation in agriculture (Wu et al, 2022). Carbon trading policies can control agricultural carbon emissions by affecting the technical efficiency of agricultural enterprises, agricultural production efficiency, and consumer preferences (Hua et al, 2022;Yu et al, 2022). In terms of land use policies, long-term rational land planning formulated by local governments is conducive to minimizing the leakage of agricultural carbon emissions through agricultural intensification (Pan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Tax pressure, farmland management, and agricultural carbon abatement: Empirical evidence from tax-and-fees reform in rural China

Zhang

Wang

Liu

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Agriculture is the second largest source of carbon emissions in the world. To achieve the strategic goals of “carbon peaking” and “carbon neutrality”, how to effectively control agricultural carbon emissions has become a focus of the Chinese government. As China’s most critical agricultural policy in the early 21st century, assessing the impact of rural tax-and-fees reform (RTFR) on agricultural carbon emissions has vital theoretical and practical implications. Based on panel data of 31 Chinese provinces from 2000 to 2019, this paper constructs a continuous difference-in-differences (CDID) model to identify the effects of RTFR on agricultural carbon emissions, and further tests the mechanisms and heterogeneity of the reform to achieve agricultural carbon emission reduction. The results demonstrate that the reform can effectively reduce the agricultural carbon intensity and improve agricultural carbon efficiency, with the effects of −6.35% and 6.14%, respectively. Moreover, the dynamic effect test shows that the impact of RTFR on agricultural carbon intensity and carbon efficiency is persistent. Furthermore, the mechanism analysis indicates that RTFR achieves the improvement of agricultural operation efficiency and the reduction of agricultural carbon emissions through the expansion of land operation area, the increase of productive investment in agriculture, and the special transfer payment from the central government. However, the impact of RTFR on local government revenue is not conducive to realizing the reform’s carbon reduction effect. The heterogeneity analysis illustrates that the reform policy effects differ in natural climatic conditions, topographical conditions, and crop cultivation structure. The RTFR mostly has a significant negative impact on the carbon emissions generated from material inputs and agricultural production. Therefore, to address the climate change crisis and improve the environmental efficiency of agricultural production, it is necessary to both reduce peasants’ tax burden and implement institutional construction efforts, to further promote the transformation of agricultural production to a low-carbon model.

show abstract

Impact of carbon trading on agricultural green total factor productivity in China

Cited by 65 publications

References 23 publications

Environmental regulation, agricultural green technology innovation, and agricultural green total factor productivity

Environmental regulation, agricultural green technology innovation, and agricultural green total factor productivity

Spatial Distribution and Convergence of Agricultural Green Total Factor Productivity in China

Tax pressure, farmland management, and agricultural carbon abatement: Empirical evidence from tax-and-fees reform in rural China

Contact Info

Product

Resources

About