The Impact of Agricultural Digitization on the High-Quality Development of Agriculture: An Empirical Test Based on Provincial Panel Data

Tang, Ying; Chen, Menghan

doi:10.3390/land11122152

Cited by 31 publications

(18 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The digital industry’s entrepreneurial activities are an important mechanism for digital rural construction to promote the high-quality development of the rural economy [ 29 ]. Tang Y (2022) based on China’s provincial panel data from 2011 to 2020, studied the influence mechanism of agricultural digitalization on the agricultural field by adopting the bidirectional fixed effect model and threshold effect test model and noted that agricultural digitalization was conducive to promoting high-quality agricultural development [ 30 ]. Liu F (2022) proposed a data-driven evaluation method for regional agricultural production efficiency and found that technical efficiency was the core driving factor for improving regional agricultural production efficiency [ 31 ].…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of the digital economy on high-quality agricultural development——Based on the regulatory effects of financial development

Zhou,

Zhang,

Zhou

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

The digital economy, as a new economic form with high information density, provides a new driving force for the realization of high-quality agricultural development. Panel data of 31 provinces in China from 2011 to 2020 were selected for analysis. The static panel data interaction effect model and panel threshold model were used to verify the nonlinear influence mechanism and heterogeneity of financial development in the process of the digital economy affecting high-quality agricultural development. The findings are as follows. (1) During the study period, the high-quality development of China’s agriculture showed a steady upward trend; however, the regional differences were significant, and the eastern part was larger than the central and western part. (2) The digital economy can promote high-quality agricultural development. (3) The digital economy has a double threshold effect in the process of affecting high-quality agricultural development, which depends on the level of financial development. When the threshold is exceeded, the digital economy has a more significant promoting effect on high-quality agricultural development. (4) The impact of the digital economy on high-quality agricultural development is heterogeneous. From the perspective of different regions, the impact effect is greatest in the eastern region, while the effect is smaller in the central and western regions. From different resource endowments, the positive impact effect is greatest in the major grain-selling areas, followed by the major grain producing areas, but the positive digital economy driving effect is not significant in the balance of production and sales areas. Finally, three policy suggestions are proposed. First, the Chinese government should increase investments in and support for digital technology to promote the integration of the digital economy and agriculture. Second, the Chinese government should promote the development of digital inclusive finance in areas with financial development below the threshold. Third, different regions should implement differentiated digital economies to promote high-quality agricultural development.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The impact of the digital economy on high-quality agricultural development——Based on the regulatory effects of financial development

Zhou,

Zhang,

Zhou

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Informatization and Digitalization of education is emphasized by many countries [4][5][6][7][8]. Digitalization of education has become more and more important.…”

Section: Current Situation and Trend Of Researchmentioning

confidence: 99%

Design of study early-warning system based on machine learning

Mao

Fang

Liu

et al. 2023

Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023)

View full text Add to dashboard Cite

How to predict the students’ learning trend, according to the current situation of students' learning, is meaningful for the management of students' learning process. This paper presents a study early-warning system based on machine learning, using the method of machine learning with the data related to the scores of students’ professional courses, retaking percentage, graduation rate and bachelor's degree data of three classes of School of Information Engineering of Wuhan Business University, which establish a prediction model of student learning trend evaluation (whether there is a risk of not obtaining the degree). It provides reference for college students' study management and can improve the quality and efficiency of teaching management.

show abstract

“…Digitalization is regarded as broaching a new horizon of economic and industrial boosters for rural places. Evidence proves that the digital transformation is radically changing constellations and processes of production, marketing, and consumption in the agrifood system, helping farmers deliver safe, sustainable, and quality food [50]. However, it can also be more adaptive to climate change [51].…”

Section: Digitalization-enabled Industrializationmentioning

confidence: 99%

Enabling In-Situ Urbanization through Digitalization

Li,

Song

2023

Land

View full text Add to dashboard Cite

The bourgeoning of e-commerce in the context of the information era has accelerated the urbanization trend by broaching a new horizon of economic and industrial boosters for rural places, epitomized by a great number of “Taobao Villages” in China. This paper has two objectives: (1) explore the process and mechanism of digitalization enabling rural in-situ urbanization represented by e-commerce; (2) nuance the specific case evidence of Daiji Town, where digitalization enabled in-situ urbanization recently. We build up a theoretical framework for digitalization-enabled in-situ urbanization from the juxtaposition of four interlinked elements: industry, talent, rural governance, and land use. It then analyzed the details and evidence of digitalization enabling rural in-situ urbanization through the case study of Daiji Town. The main conclusions of this paper are as follows: First, digitalization plugs rural areas into production and consumption networks in wider contexts, promoting the transformation and prosperity of rural economies. Secondly, the reverse migration of young generations to rural areas becomes the key to rural in-situ urbanization. Thirdly, digitization materializes the urbanization of rural spaces. Finally, digitalization enables the rural transformation and improvement of urban-rural relations in the Global South, which needs to be further explored.

show abstract

The Impact of Agricultural Digitization on the High-Quality Development of Agriculture: An Empirical Test Based on Provincial Panel Data

Cited by 31 publications

References 35 publications

The impact of the digital economy on high-quality agricultural development——Based on the regulatory effects of financial development

The impact of the digital economy on high-quality agricultural development——Based on the regulatory effects of financial development

Design of study early-warning system based on machine learning

Enabling In-Situ Urbanization through Digitalization

Contact Info

Product

Resources

About