Drivers and barriers to digital transformation in agriculture: An evolutionary game analysis based on the experience of China

Agricultural Systems, Journal Year: 2024, Volume and Issue: 221, P. 104136 - 104136

Published: Sept. 19, 2024

Language: Английский

---

Digital village construction and national innovation systems: coordinated development dynamics

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 9, 2025

Language: Английский

---

Digital Economy, Urban-Rural Integration, and High-Quality Agricultural Development

Emerging Markets Finance and Trade, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 23, 2025

Language: Английский

---

How Do Digital Capabilities Impact the Sustained Growth of Entrepreneurial Income: Evidence from Chinese Farmer Entrepreneurs

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7522 - 7522

Published: Aug. 30, 2024

The application of digital technology in China’s rural areas has triggered a brand-new allocation agricultural factors, posing challenges to the sustainable growth entrepreneurial income. Using empowerment theory and process theory, this paper explores mediating role alertness resource bricolage relationship between capabilities questionnaire survey data from 490 farmer entrepreneurs China, empirically tests effect on income through multiple regression model. findings show that: (1) have significant positive increase income; (2) applicational innovation can affect intermediary paths bricolage; (3) more impact sustained for young farmers those with professional work experience large cities who embark farming entrepreneurship. This reveals when embedded process. It also provides theoretical reference empirical support government formulate reasonable policies offers new solutions promote development capabilities.

Language: Английский

---

Promoting the transformation of agricultural supply chain management under the development of digital economy in the Internet era

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Agricultural products, as the necessities of people’s daily consumption, are related to national economy and livelihood, development information technology provides a new direction ideas for transformation agricultural products supply chain management. The article proposes risk assessment method based on Bayesian network inference algorithm OWA algorithm, firstly constructs model chain, elaborates belief updating belief-free in network, then combines with operator, diagnosis Bayes-OWA hybrid this is core proposed management strategy. Through empirical tests, it can be obtained that average time enterprise 4 22.3 days, reliability 92.3%, which highly efficient. In program, value quality qualification rate has been improved by 2.67%, number days supplier delivery shortened 13 supplier’s ability respond quickly demand 3.61%. Therefore, actively constructing informationization construction building logistics platform, improving rural communication facilities, providing timely market farmers better ensure efficient operation chain.

Language: Английский

---

Improvement of agricultural productivity and optimization of rural economic structure from a digital perspective

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract This paper first analyzes and researches the current practice status of digital transformation Chinese agricultural production from production, credit, management aspects. Then, it measurement efficiency factors influencing in context by using DEA tools. The impact digitalization level enhancement on rural economic structure is also analyzed explained perspective technological progress bias through spatial econometric models. results show that promotes development modernization terms change ranking scores between 2014 2023. correlation coefficients economy development, financial support for agriculture, urbanization rate are 0.483, 1.163, 0.764, which significantly promote China. There a significant dependence relationship (P<0.001).

Language: Английский

---

A study of the driving factors of the intention and behavioral deviations of rural residents in waste classification

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Aug. 2, 2024

Introduction: The deviation between the stated intentions and actual actions of rural residents regarding waste classification constitutes a significant impediment to effective implementation environmental management strategies in areas. It is therefore recommended that steps be taken reduce behaviors residents. Doing so will help reinforce governance communities provide necessary support for revitalization. Methods: This study establishes an analytical framework examining internal perceived efficacy external policies among relationship intention behavior can classified into three distinct scenarios: “intention with behavior,” without “no behavior.” Furthermore, empirical analysis conducted using survey data collected by Nanjing Agricultural University China Land Economic Survey June July 2021. Result: results show 1) has positive influence on domestic classification, while policy negative effect it; 2) guiding moderating situation “with reward–punishment “without behavior;” 3) masking impact or behavior” partial mediating Discussion: In consideration these findings, proposes recommendations emphasize interconnectivity government, village collective organizations, include initiatives designed enhance residents’ awareness classification.

Language: Английский

---

DIGITAL TRANSFORMATION OF ECONOMIES THROUGH TECHNOLOGY, EDUCATION AND COMPETENCES

Problems of Education in the 21st Century, Journal Year: 2024, Volume and Issue: 82(5), P. 758 - 774

Published: Oct. 10, 2024

Digital transformation has profoundly impacted social and economic life by enhancing workforce competences, fostering innovation, creating competitive advantages. Given that the driving force of digital is technology, this study aimed to determine whether education competences are perceived as essential factors in narrative across diverse fields socioeconomic development at both macro micro levels. To achieve this, 528 abstracts from various scientific focused on were analyzed using manifest latent content analyses, latter ensuring a more objective interpretation outcomes derived analysis. Frequency, word linkage, concordance analyses key concepts used. The results indicated viewed vital for digitalization sectors economy macro- micro-level development. findings suggest technology drives delivering different types value, including innovation sustainability, while relying technology-related competences. also revealed concerns about barriers implementation, which could be overcome through originality research lies its application identify roles transformation. Keywords: transformation, education, macro-level development,

Language: Английский

---