Digital Technologies Applied in Agriculture for Sustainable Development

Radulescuu, Carmen-Valentina; Popescu, Maria-Loredana; Negescu, Mihaela Diana Oancea; Bodislav, Dumitru Alexandru

doi:10.14207/ejsd.2019.v8n5p75

Cited by 4 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While several researchers have investigated the impact of mobile phones and/or internet technology on agricultural production and rural income using mixed data for several crops in rural areas of developing countries [67], limited studies focused on particular crops or fruits. For example, Mariyono et al [68] studied the impact of mobile phone use on sales and profit of vegetable growers in Indonesia and found that growers had higher sales and profits.…”

Section: Introductionmentioning

confidence: 99%

Influence of mobile phone and internet technology on income of rural farmers: Evidence from Khyber Pakhtunkhwa Province, Pakistan

Khan

Ray

Zhang

et al. 2022

Technology in Society

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Influence of mobile phone and internet technology on income of rural farmers: Evidence from Khyber Pakhtunkhwa Province, Pakistan

Khan

Ray

Zhang

et al. 2022

Technology in Society

View full text Add to dashboard Cite

“…On this basis, scholars have continuously extended and improved it. In order to impact the highquality growth of the economy through the enhanced Feder model, Ge Heping, and Wu Fuxiang developed a theoretical framework for the digital economy, and their core concepts are sorted out here [19]. First, the following two hypotheses are put forth in relation to the marginal output difference between the two sectors' input factors and the effect of the digital economy sector on the traditional economic sector:…”

Section: A Two-sector Structural Model Of the Digital Economymentioning

confidence: 99%

Innovation in thinking and practice path of digital economy based on big data analysis to promote high-quality development of agricultural service trade

Zhang

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

In order to coordinate the digital geographic planning of agriculture and clarify the grasp of agricultural integration and digital development, by building a connected coordination model of the digital economy and the high-quality growth of the agricultural services trade, this article is confirmed. First, the fundamental workings of the digital economy and their spatial spillover effects on the high-quality growth of the agricultural services sector are examined. To evaluate each method’s level of development, the TOPSIS methodology and the entropy value method are linked, and a coupling coordination model is created. The production of the high-quality agriculture service trade and digital economy index system follows. In the end, the empirical study of coupling coordination was carried out using data from each province in China from 2010 to 2020 as the original sample. The findings indicate that before 2015, in all provinces, the coupling coordination degree of the development of the agricultural service trade and the digital economy was less than 0.2. The coupling coordination degree showed a tendency of moderate expansion from 2016 to 2020, increasing by 583.33% from 2010 to 2020. This shows that as the digital economy has expanded, the agriculture services sector has also developed in a high-quality manner.

show abstract

“…Greek scientists C. V., Popescu, M.-L., Bodislav, D. A., Oancea Negescu, M. D. put emphasis upon the necessity to study information risks that increase in connection with the digitisation of all economy sectors including agriculture. In particular, they point to the problem of ensuring transparency, information content and efficiency at all levels of agricultural enterprise management and the necessity to assess both benefits and losses caused by the risks of new technology introduction [11].…”

Section: Introductionmentioning

confidence: 99%

Classification of agricultural risks of the digital economy

2021

View full text Add to dashboard Cite

The current state of the agricultural complex is characterised by a high degree of instability. This sector of the economy is affected by a significant number of factors, both climatic and human-made. Uncertainty in the state and development of the industry creates risks. The digitalisation of all sectors of the economy, on the one hand, is designed to reduce risks; on the other, it itself is the reason that creates new risks. A review of the scientific literature indicates an increased interest in this problem. However, there is a lack of experience in linking agricultural risks to the risks inherent in the digital environment. Our research is aimed not only at identifying risks in the agricultural complex in the conditions of digitalisation but also at their classification and determining the most significant in the agricultural complex. We suggested that the agricultural complex risks are associated with the risks of the digital economy. The justification of the hypothesis was carried out using mathematical operations with sets. The calculations made it possible as the most significant to distinguish technological and social risks in the agricultural complex, the levelling of which is possible using digital information platforms.

show abstract

Digital Technologies Applied in Agriculture for Sustainable Development

Cited by 4 publications

References 13 publications

Influence of mobile phone and internet technology on income of rural farmers: Evidence from Khyber Pakhtunkhwa Province, Pakistan

Influence of mobile phone and internet technology on income of rural farmers: Evidence from Khyber Pakhtunkhwa Province, Pakistan

Innovation in thinking and practice path of digital economy based on big data analysis to promote high-quality development of agricultural service trade

Classification of agricultural risks of the digital economy

Contact Info

Product

Resources

About