A Non-Linear Exploration of the Digital Economy’s Impact on Agricultural Carbon Emission Efficiency in China DOI Creative Commons

Shiying Zhu,

Jiawen Huang, Yansong Li

и другие.

Agriculture, Год журнала: 2024, Номер 14(12), С. 2245 - 2245

Опубликована: Дек. 7, 2024

As the global climate crisis intensifies, improving agricultural carbon emission efficiency has become crucial for achieving sustainable development goals (SDGs). This study investigates complex, non-linear relationship between China’s digital economy and efficiency, utilizing panel data from Chinese provinces spanning 2012–2022. We employ a multi-method approach, including Super-SBM model measurement, two-way fixed effects models, quantile regression, Generalized Additive Models (GAMs) empirical analysis. Our findings reveal: (1) The significantly enhances but with distinct characteristics across different dimensions. (2) impact varies among aspects: foundation shows most substantial influence, followed by rural industry level, while infrastructure relatively minor effect. (3) A threshold effect is observed, economy’s more pronounced in regions higher efficiency. (4) GAM analysis unveils complex patterns: industry’s initially decreases before increasing, an overall increasing trend plateaus, exhibits near-linear relationship. (5) Sensitivity indicates that responsive to changes foundation, level. These provide nuanced insights into role enhancing sustainability. propose targeted policy recommendations, accelerating development, optimizing structure, implementing context-specific facility construction. strategies aim fully leverage potential contributing “dual carbon” development.

Язык: Английский

Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms DOI Creative Commons
Guanghe Han, Jiahui Xu, Xin Zhang

и другие.

Agriculture, Год журнала: 2024, Номер 14(9), С. 1454 - 1454

Опубликована: Авг. 26, 2024

Promoting low-carbon agriculture is vital for climate action and food security. State farms serve as crucial agricultural production bases in China are essential reducing China’s carbon emissions boosting emission efficiency. This study calculates the of state across 29 Chinese provinces using IPCC method from 2010 to 2022. It also evaluates efficiency with Super-Slack-Based Measure (Super-SBM model) analyzes influencing factors Logarithmic Mean Divisia Index (LMDI) method. The findings suggest that three largest sources rice planting, chemical fertilizers, land tillage. Secondly, initially surge, stabilize fluctuations, ultimately decline, higher observed northern eastern China. Thirdly, rise driven primarily by technological progress. Lastly, economic development industry structure promote emissions, while labor scale reduce them. To improve efficiency, following measures can be taken: (1) Improve all links; (2) Optimize industrial coordinated agriculture; (3) Reduce specialization, professionalization, high-quality labor; (4) Accelerate green technology innovation guide transformation farms. enriches theoretical foundation develops a framework assessing farms, offering guidance future research policy sustainable agriculture.

Язык: Английский

Процитировано

42
How can rural digitalization improve agricultural green total factor productivity: Empirical evidence from counties in China DOI Creative Commons

Shen Lu,

Jincai Zhuang,

Zenan Sun

и другие.

Heliyon, Год журнала: 2024, Номер 10(15), С. e35296 - e35296

Опубликована: Июль 26, 2024

Against the backdrop of escalating environmental pollution and resource depletion induced by traditional agricultural industry development, imperative for efficiency ecologically friendly practices has become pivotal global sustainability. In digital era, rural digitalization substantially amplified production while notably reducing pollution. This study is based on panel data from 1602 counties in China spanning 2011 to 2020, measuring levels green total factor productivity (AGTFP) across these counties, empirically examining their dynamic correlation. The research findings reveal: (1) A significant enhancement AGTFP with elevation digitalization; every 1 % increase digitalization, increases 1.78 %. Robustness checks, including instrumental variables quasi-natural experiments, affirm validity conclusions. Furthermore, comparing regional differences China, it can be observed that impact varies different areas: eastern, central, western regions, 2.65 %, 1.53 0.82 respectively. (2) Rural fosters an stimulating entrepreneurial activity, mediation effect activity accounting 3.34 effect. (3) Utilizing a threshold model, observations indicate when surpasses first 0.3200, coefficient escalates 0.0462 0.7519. However, exceeds second 0.7118, this declines 0.2429, signifying nonlinear trend marginal AGTFP-initial followed attenuation. (4) spatial model analysis, confirms spillover effects AGTFP, indicating variations among matrices. indirect mainly influenced neighboring counties' levels, contribute more significantly than direct effects. Based conclusions, paper proposes augmenting investments implementing diversified schemes, invigorating harmonizing development as novel approaches enhance thereby fostering economic development.

Язык: Английский

Процитировано

13
Analysis of the spatial–temporal evolution and driving factors of carbon emission efficiency in the Yangtze River economic Belt DOI Creative Commons
Yanzhi Jin, Kerong Zhang, Dongyang Li

и другие.

Ecological Indicators, Год журнала: 2024, Номер 165, С. 112092 - 112092

Опубликована: Май 27, 2024

As an important economic growth pole and ecological area in China, the urban agglomeration of Yangtze River Economic Belt (YREB) is key to carbon emission reduction. Exploring spatial–temporal evolution driving variables its efficiency (CEE) crucial for realizing goals peaking neutrality. The super-efficiency SBM model, nuclear density method, spatial autocorrelation method were used discuss CEE characteristics 105 cities YREB. On factors emissions, geographic detector Tobit model combined explore differentiation from perspective heterogeneity, concurrently analyze single-factor's effecting intensity impacting direction, as well dual-factors' interaction effects. findings indicated that YREB generally showed a slow upward trend during 2006–2021. From time dynamic evolution, intensified, overall development was toward high level. Furthermore, results pattern presents "downstream areas > midstream upstream areas", "high east low west", "hot cold while clustering effect significant, showing distributions low-low or high-high clustering. Moreover, government intervention, growth, technological progress main factors. In addition, interactions intervention other significantly detected. regression advancement had favorable impact on CEE, but foreign investment, urbanization, involvement negative impacts. future, correlations between provinces should be strengthened amplified promote integrated green development, improve environments.

Язык: Английский

Процитировано

6
How the “Village Merger and Resettlement” Policy Reshapes Agricultural Carbon Emissions: An Analysis of Effects and Mechanisms from Chinese Rural Practices DOI Creative Commons
Yafei Wang, Luyao Zhang,

Jing Yan

и другие.

Agriculture, Год журнала: 2025, Номер 15(5), С. 451 - 451

Опубликована: Фев. 20, 2025

The “Village Merger and Resettlement” policy, as an adjustment of rural living arrangements spatial organization, addresses the population outflow against backdrop global urbanization industrialization. It has profound impacts on agricultural resource allocation, technological innovation, carbon emissions, playing a significant role in achieving green low-carbon development alongside high-quality advancement. This paper conducts empirical analysis based panel data from 30 provincial regions China 2001 to 2022 (excluding Tibet, Hong Kong, Macau, Taiwan) examine impact policy emissions. explores mediating effects informatization integration industries analyzes moderating roles government environmental regulations public participation. findings indicate that significantly suppresses with being more pronounced major grain-producing areas, flat terrain, convenient transportation, higher levels technology labor, well east side Hu Huanyong Line, where degree industrial restructuring is lower enforcement stronger. mediation reveals processes industry both play positive transmission policy’s reducing moderation shows compulsory have negative effect emission suppression, while participation effect. Therefore, implementing it necessary tailor strategies local conditions, make full use resources, reasonably plan industries, accurately grasp promote green, low-carbon, development.

Язык: Английский

Процитировано

0
A comprehensive analysis of the spatiotemporal dynamics and determinants of carbon emission efficiency in China's manufacturing sector DOI
Dalai Ma,

Chao Hu,

Yin Yan

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 381, С. 125269 - 125269

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0
Impact of agricultural land use rights transfer on carbon emission intensity of cultivated land--Empirical evidence based on panel data of 30 provinces in China DOI Creative Commons
Yuchen Chen, H.-J. Zhang

PLoS ONE, Год журнала: 2025, Номер 20(5), С. e0322714 - e0322714

Опубликована: Май 2, 2025

In the context of high-quality agricultural development, farmers increasingly engage in land use rights transfer(ALURT) to achieve large-scale operations and improve production efficiency. However, often lead mechanized production, which may cause higher carbon emissions, contradicting principles green development. This study aimed assess actual impact ALURT on emission intensity (CEI) croplands explore role this relationship. To this, CEI arable across 30 provinces China from 2014 2022 was measured, analyzed using a two-way fixed-effects model, mediated-effects threshold-effects model. These findings suggested that total emissions have declined annually since 2015. Southeastern coastal provinces, including Shanghai Zhejiang, highest croplands. significantly reduced for land. Moreover, mechanism testing revealed did not mediating effect but instead exhibited threshold effect. When scale grew threshold, inhibition could be amplified.

Язык: Английский

Процитировано

0
Eco-Friendly Methods for Combating Air Pollution DOI
Matthew Chidozie Ogwu, Bokjin Ro, Bhuwan Thapa

и другие.

˜The œhandbook of environmental chemistry, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1
Exploring the Path of Balanced Development: The Decoupling Evaluation of Agricultural Production Efficiency and Land Carrying Capacity DOI
Yihang Hu, Junbiao Zhang, Qiqi Liu

и другие.

Land Degradation and Development, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 16, 2024

ABSTRACT High‐quality development in agriculture is crucial for maintaining the harmonious balance between human society and natural environment, promoting this model one of key measures to alleviate land degradation issues. This study, grounded PRED theory (Population, Resources, Environment, Development theory) framework, establishes an evaluation system high‐quality agricultural by selecting 128 cities within Yangtze River Economic Belt as its samples. It quantifies carrying capacity, utilizes Stochastic Frontier Analysis (SFA) assess production efficiency, applies Tapio decoupling analyze interplay these two factors. The results reveal that resource index has risen from 1.245 1.70, indicating escalating tension population food resources. Furthermore, efficiency seen a 16.56% increase, reflecting positive advancements across region. Spatial distribution analysis shows standard deviation ellipse concentrated mid lower reaches, centered Changde, Hunan, expanding westward, with broader coverage area perimeter. Additionally, relationship capacity primarily manifests three forms: strong negative decoupling, weak expansive decoupling. research offers significant insights effectively mitigating strain growth resource‐environmental capacity.

Язык: Английский

Процитировано

1
Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors DOI Creative Commons
Wei Xu,

Bohong Chen

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 30, 2024

In light of the Chinese government's dual carbon goals, achieving cleaner production activities has become a central focus, with regional environmental collaborative governance, including management agricultural reduction, emerging as mainstream approach. This study examines 268 prefecture-level cities in China, measuring emission efficiency city agriculture from 2001 to 2022. By integrating social network analysis and modified gravity model, reveals characteristics spatial association China. Additionally, quadratic assignment procedure is employed investigate driving factors. The findings indicate that: (1) China displays substantial spatiotemporal heterogeneity, characterized by marked clustering. Central generally exhibit higher levels, while surrounding tend have lower efficiency. (2) multidimensional, complex, organic characteristics, potential for enhanced stability. (3) Agricultural regions southeastern dominate network, weaker sectors, like Beijing, Shanghai, Ningxia, occupy peripheral positions. (4) Within Intra block correlations are low, interblock strong, exhibiting significant spillover effects. (5)Variations development levels mechanization significantly enhance formation networks related Conversely, differences industrial structure fertilizer application exert negative influence on these networks.

Язык: Английский

Процитировано

1
Spatial characteristics and optimization of urban living space carbon suitability index (ULS-CSI) in Tianjin, China DOI Creative Commons

Zhaowei Yin,

Xiaoping Zhang, Peng Chen

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Авг. 26, 2024

The global climate crisis is escalating, and urban living Space (ULS) a significant contributor to carbon emissions. How improve the suitability of ULS while promoting social economic development issue. This study aims develop an evaluation system for comparing analyzing inequality spatial differences in different areas. To achieve this goal, space index (ULS-CSI) based on organizational (SOI) has been proposed. ULS-CSI was calculated at area scale Tianjin using information from Land Use Database 2021. emissions coefficient method used calculate (ULSCE). Moran’I LISA analysis were quantify ULS-CSI. results showed that residential (RLA) highest scale, with 1.14 × 10 11 kg, accounting 33.74%. green leisure (GLA) absorption 5.76 5 32.33%. SOI areas have heterogeneity as such building area, road network density land use characteristics are significantly Areas superior CSI primarily situated Heping, Hexi, Nankai, Beichen, 83.90%. Conversely, under basic threshold included Xiqing, Jinnan, Dongli, 16.10%. Spatial portrayed positive correlation, indicating autocorrelation degree 500 m, Moran ’I value 0.1733. Although these findings reflect affecting more perfect data needed complexity structural factors scale. helpful planning differentiated reduction strategies promote low-carbon healthy development.

Язык: Английский

Процитировано

0