Can Urban Internet Development Attract Labor Force? Evidence from Chinese Cities

Sustainability, Journal Year: 2025, Volume and Issue: 17(1), P. 260 - 260

Published: Jan. 2, 2025

Labor force mobility plays a crucial role in achieving balanced regional development China. This study investigates whether urban internet can effectively attract labor inflow using data from the China Labor-force Dynamic Survey (CLDS) and constructing comprehensive index through factor analysis. Employing conditional logit model addressing potential endogeneity instrumental variables, we find that (1) significantly attracts inflow, with one-unit increase raising log odds of individual city choice by 0.2, this effect remains robust across multiple specifications estimation methods; (2) attraction shows significant heterogeneity—it is stronger among highly educated, younger, foreign language proficient, unmarried individuals, more pronounced regions lower housing costs, income levels, inland locations. These findings suggest less-developed cities should prioritize infrastructure to accumulate high-quality resources achieve economic development, while also enhancing support for bottom-tier workers public-benefit online platforms.

Language: Английский

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The Impact of Technological Innovations on Agricultural Productivity and Environmental Sustainability in China

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8480 - 8480

Published: Sept. 29, 2024

Agricultural productivity in China is a fundamental driver of food security and economic growth. Yet, the sector faces profound challenges due to environmental degradation climate change, which threaten sustainable agricultural practices. This research examines effects technological innovations on Total Factor Productivity sustainability from 2012 2022. The study seeks understand how advancements, when considered alongside socioeconomic variables, impact output while balancing ecological integrity. Employing comprehensive methodological framework, this integrates fixed-effects, random-effects, multilevel mixed-effects models analyze crucial factors including rural education, capability, conservation initiatives. further utilizes structural equation modeling evaluate both direct indirect these determinants productivity. results demonstrate that substantially enhance productivity, particularly provinces with higher development. Additionally, farming practices tailored policy interventions are identified as vital addressing regional imbalances. concludes by underscoring necessity for continued integration considerations emerging technologies ensure growth long term.

Language: Английский

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Digital economy, consumption structure and rural economic transformation: a case study of China

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: Feb. 28, 2025

Introduction Promoting rural economic transformation is an important foundation for achieving agricultural modernization. Under the background of revitalization strategy, digital technology increasingly being applied in sector, and economy becoming a new driving force China's transformation. Methods Based on provincial panel data from 2013 to 2020, this paper uses two-way fixed effect model, intermediary threshold model deeply analyze impact internal mechanism development Results discussion The research shows that significantly promotes transformation, conclusion still valid after robustness tests such as selecting historical instrumental variables. test confirms by optimizing residents' consumption structure. In addition, has single based level After crossing value, its promotion more prominent, indicating will show non-linear characteristics increasing ‘marginal effect' due different levels structure; Heterogeneity analysis found compared southern regions, northern regions significant promoting This study deepens understanding motivation effects, mechanisms, regional differences empowering this, proposes government fully realize economy's role actively innovate promote technology, continue expand strengthen consumer Internet, adjust measures local conditions, try achieve coordinated development.

Language: Английский

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Unveiling the Spatial Coupling Dynamics and Coordination Mechanisms Between Digital Inclusive Finance and Rural Industrial Integration Development

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 499 - 499

Published: Feb. 27, 2025

This study examines the coupling coordination between digital inclusive finance (DIF) and rural industrial integration development (RIID) in China from 2011 to 2021, using panel data 282 prefecture-level cities. By employing model entropy method, research analyzes spatiotemporal evolution regional disparities of DIF RIID. Key findings include following: (1) The degree RIID shows a consistent upward trend, transitioning mild imbalance primary coordination, though lags behind DIF. (2) Significant exist, with an “N-shaped” spatial distribution pattern south north, where eastern northeastern regions exhibit higher levels compared central western regions. (3) Regional differences are narrowing, driven primarily by inter-regional disparities, strong spillover effects observed “high–high” “low–low” agglomerations. (4) overall network tightness stability have improved, playing role network, while remain relatively marginal. Policy recommendations expanding applications industries, reducing through resource allocation, promoting underdeveloped areas, strengthening facilitate flow.

Language: Английский

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Unveiling the digital revolution: Catalyzing total factor productivity in agriculture

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0318333 - e0318333

Published: March 6, 2025

Drawing upon panel data spanning the years 2011 to 2022 and encompassing 30 provinces across China, this research employs empirical methodologies, specifically difference GMM system methods, scrutinize impact of digital economy on total factor productivity (TFP) within agricultural sector. The study reveals a significant augmentation China's TFP attributable economy, finding robust various methodological examinations. Notably, influential role is more conspicuous in central western regions, as well locales characterized by lower levels. Mechanistic analysis underscores that exerts positive influence through stimulation innovation marketization effects. Furthermore, strategic recommendations emerge from study, advocating for reinforcement institutional mechanistic reforms cultivate an enabling external milieu propel TFP. It posited regional development strategies should be tailored based individual resource endowments extent economic development. Additionally, there call refine mechanisms promoting high-quality agriculture, with overarching goal comprehensively elevating implications extend imperative need nuanced context-specific approach advancing diverse regions China.

Language: Английский

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Decomposition of Total Factor Productivity in the dairy sector: Comparative analysis of Serbia vs European Union

Strategic Management, Journal Year: 2025, Volume and Issue: 00, P. 89 - 89

Published: Jan. 1, 2025

Background: In the previous period, significant changes took place in world dairy market, and this trend did not bypass Serbia either. is facing a decline number of farms engaged milk production despite subsidies for by state. On other hand, abolition quotas European Union led to an increase production, which certainly had impact on international market. Purpose: This paper attempts do comparative analysis sector through decomposition Total Factor Productivity. way, we try look at efficiency Technical Efficiency Change, potential technological progress will also be looked Technological Change. Study design/methodology/approach: research, Malmquist Productivity index used, relies estimation data envelope analysis. Data from Farm Accountant Network used 25 countries period 2015-2021. Findings/conclusions: Based there sample rate 3.1%. has experienced productivity growth sector, largely attributed exit small inefficient production. To further enhance productivity, policymakers should promote investments that drive encourage producers optimize resource utilization improved knowledge skills development. Limitations/future research: It necessary observe factors affect more detail, so identifying contributed focus future research.

Language: Английский

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Digital Pathways to Sustainable Agriculture: Examining the Role of Agricultural Digitalization in Green Development in China

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3652 - 3652

Published: April 17, 2025

Amid the urgent need to align agricultural practices with United Nations Sustainable Development Goals (SDGs), this study examines role of digitalization in promoting sustainable and green development China. Specifically, it explores demand-side factors that drive improvements categorizes models into three types: market-oriented, policy-driven, innovation-driven. Utilizing provincial-level data from 2011 2021, employs semiparametric spatial Durbin empirically assess effects, underlying mechanisms, regional disparities advancing development. The main findings are as follows: (1) Overall, both level have gradually increased during period, significantly contributing (2) impact on shows an upward trend eastern, coastal, non-grain-producing regions, well southeastern areas “Hu Huanyong Line”. In contrast, inland regions northwestern Line” exhibit a U-shaped relationship, grain-producing experience clear inhibitory effect. Additionally, effect is more pronounced higher levels (3) Agricultural generates positive spillover benefiting not only local region but also surrounding areas, stronger radiative neighboring regions. (4) Mechanism analysis suggests under all models, can effectively enhance by improving alignment supply demand for products, accelerating establishment promotion brands, strengthening environmental regulation, fostering new business entities, mechanization, efficiency facility agriculture.

Language: Английский

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How the impact and mechanisms of digital financial inclusion on agricultural carbon emission intensity: new evidence from a double machine learning model

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 28, 2025

The advancement of the digital economy is vital for decreasing agricultural carbon emissions and fostering high-quality development. Using panel data from 31 Chinese provinces between 2000 2021, this paper employs a dual machine learning model causal inference to analyze impact financial inclusion on intensity, its underlying mechanisms, characteristics heterogeneity. study finds that inclusive finance significantly reduces intensity through two main channels: enhancing scientific technological innovation narrowing urban-rural income gap. Additionally, expansion arable land management acceleration economic structural transformation positively moderate these effects. These conclusions remain robust after series robustness tests. Further combining factors such as resource endowment, geographic location, concentration, food production areas in heterogeneity test, found regional differences influence effect intensity. Therefore, it essential enhance development finance, break down barriers promote synergistic development, actively support large-scale operations, strengthen innovation, narrow gap China’s green transformation.

Language: Английский

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Leveraging Text Mining and Network Analysis for the Diffusion of Agricultural Science and Technology Policies in China

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 959 - 959

Published: April 28, 2025

Agricultural science and technology policies (ASTPs) have played a pivotal role in shaping agricultural innovation, sustainability, cleaner production practices. Understanding how ASTPs diffuse is essential for optimizing policy design advancing the green transition agriculture. This study aims to investigate diffusion of China, using quantitative citation-based approach. The goal explore patterns, topic characteristics, historical trajectories ASTPs, thereby providing insights into transmission mechanisms that can inform future improvements. We analyze 3207 ASTP documents, focusing on citation links examine distribution, dynamics policies. analysis includes tracking evolution identifying key while estimating main paths. results show top-down model dominant pattern transmission, exhibiting highest speed both short- long-term impacts. progressively expanded toward industrialization, informatization, development, with increased efficiency. process has formed three primary pathways: (i) enhancing innovation capacity, (ii) accelerating transformation technological achievements, (iii) improving system. These pathways are critical sustainable production. provides valuable highlights optimization. findings suggest frameworks implementation efficiency will be crucial facilitating sustainable, low-carbon, environmentally friendly Future research should refine data sources incorporate semantic capture more detailed mechanisms.

Language: Английский

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Research on the impact and mechanism of digital economy on China’s food production capacity

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 8, 2024

Enhancing and strengthening food production capacity has always been a top priority in agricultural research, serving as cornerstone for ensuring national security stable economic development. This study, based on panel data spanning from 2011 to 2021 across 30 provinces China, delves into the mechanism through which digital economy impacts capacity. Employing double fixed effect model, mediation threshold we uncover several key findings: The significantly boosts capacity, with robustness tests affirming reliability of our results. Mechanism analysis reveals that enhances by elevating total factor productivity bolstering resilience. underscores urbanization levels exhibit single-threshold impact, wherein influence intensifies upon crossing this threshold. Heterogeneity central primary grain-producing regions, while its impact is comparatively weaker eastern western well non-primary areas. In summary, research sheds light pivotal role augmenting offering valuable insights regional variations thresholds China.

Language: Английский

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