Energy Economics, Journal Year: 2024, Volume and Issue: unknown, P. 108160 - 108160
Published: Dec. 1, 2024
Language: Английский
Energy Economics, Journal Year: 2024, Volume and Issue: unknown, P. 108160 - 108160
Published: Dec. 1, 2024
Language: Английский
Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3877 - 3877
Published: April 25, 2025
As a progressive and systematic initiative that necessitates the collective participation of society, achieving goals carbon peaking neutrality has had significant positive impact on transformation energy structure, development new industry, enhancement economic efficiency environmental quality, deepening international cooperation across multiple dimensions. This study examines how digital economy affects reductions in context China’s pursuit peak targets. To thoroughly examine regional influences agricultural emissions uncover its underlying mechanism, this uses regression analysis models using panel data from 31 Chinese provinces (not including Hong Kong, Macau, Taiwan) 2013 to 2022. In meantime, investigates spatial effects emissions. The results show rapid plays role reducing particular, every 1 unit increase level is associated with 0.125-unit reduction Second, expansion allows labor transfer, which indirectly suppressive effect through channel. Third, one area spillover effects, leading other cities. Fourth, these vary depending topography production. flat regions high-yield areas see greater compared steep low-yield areas. Therefore, research can help reveal path digital-technology-driven green agriculture provide scientific basis for optimizing carbon-emission-reduction policies sustainable development.
Language: Английский
Citations
0Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1358 - 1358
Published: Aug. 25, 2024
The effects of land transfer on agricultural carbon emissions and their underlying mechanisms must be investigated if we are to achieve sustainable development environmentally friendly high-quality development. This research experimentally the spatial impacts causes using multiple econometric models based provincial panel data covering years 2010 2022. results allow us draw following conclusions: (1) Land significantly inhibits emissions. conclusion remained valid after various robustness checks, including a reduction in sample size, change model type, adjustment geographical regions. (2) Agricultural socialized services play positive moderating role process curb (3) has substantial spillover effect emissions, resulting reduced immediate area nearby
Language: Английский
Citations
3Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(10), P. 105038 - 105038
Published: Oct. 1, 2024
Abstract With the inevitability of global climate change, it has become increasingly important to understand relationship between Agro-industrial Development (AID) and Agricultural Carbon Emissions (ACE) promote development low carbon production in agriculture. Using a panel datasets, as based on ‘element-structure-function’ framework 30 Chinese provinces over period from 2011–2021, entropy weight method was used calculate level AID each province. this approach, possible assess correlations mechanisms ACE. Here, with use fixed-effect, regulatory threshold models, we determined some critical factors contributing effects Our findings revealed: (1) displays an inverse U-shape ACE, verified through endogeneity robustness assessment, (2) A review suggests that crossing turning point inverted u-curve can be accelerated by moderating effect agricultural finance. (3) As analysis, two-tier digital economy, rural human capital farmers’ net income AID, facilitating emission reductions obtained after crossing. The significance increases function post-threshold interval. Taken together, these demonstrate long-standing interplay Thus, additional insights empirical evidence inform ongoing sustainable practices realized.
Language: Английский
Citations
2Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8
Published: Nov. 6, 2024
Promoting the coordinated development of green agriculture and food security is important for global sustainable development, digital economy a potential path to realizing this goal. Using panel data 30 provinces (municipalities directly under central government autonomous regions) in China from 2014 2021, study applies entropy weight method coupling coordination degree model measure security. Moreover, constructs fixed-effects spatial spillover effect models determine on We find positive trend between China, with no evident polarization phenomenon. The can effectively promote security, has effects. Our findings expand research related economy, contribute promotion agricultural
Language: Английский
Citations
2Energy Economics, Journal Year: 2024, Volume and Issue: unknown, P. 108160 - 108160
Published: Dec. 1, 2024
Language: Английский
Citations
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