Can Digitalization Levels Affect Agricultural Total Factor Productivity? Evidence From China

Fu, Wenqiang; Zhang, Rongwu

doi:10.3389/fsufs.2022.860780

Cited by 21 publications

(21 citation statements)

References 51 publications

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“…In this study, we examined whether and how dialect diversity affects the TFP of listed companies from the perspective of psychological distance. Unlike previous studies, we investigated the effect of informal institutions such as dialect diversity on TFP (e.g., Feng et al, 2021;Fu and Zhang, 2022;Wang et al, 2022). Using all Chinese-listed firms from 2007 to 2019, we found that dialect diversity significantly inhibits a firm's TFP.…”

Section: Discussionmentioning

confidence: 93%

Dialect diversity and total factor productivity: Evidence from Chinese listed companies

Xiong

Gao

2022

Front. Psychol.

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Using a sample of Chinese listed companies over the 2007–2019 period, we examined the influence of dialect diversity on a firm's total factor productivity. We found that dialect diversity affects the psychological distance of interpersonal communication and significantly affects the firm's total factor productivity. The results are robust to a battery of tests based on different specifications. The relationship between dialect diversity and a firm's total factor productivity is more pronounced in state-owned enterprises, firms located in southern regions, and more capital-intensive firms. Furthermore, we demonstrated an innovative factor flow mechanism and a human capital accumulation mechanism through which dialect diversity inhibits total factor productivity. Overall, this paper provides new evidence and decision-making reference for coordinating the protection of dialect diversity and high-quality economic development.

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Section: Discussionmentioning

confidence: 93%

Dialect diversity and total factor productivity: Evidence from Chinese listed companies

Xiong

Gao

2022

Front. Psychol.

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“…The digitization of agriculture encompasses the fusion of digital innovations like artificial intelligence, Big Data, and robotics, and these digital advancements are linked to agricultural production setups via the Internet of Things [31,67,105]. Within this evolving landscape, it is crucial to underscore that digitalization is not solely an escalating pattern but also an imperative for agriculture in the 21st century.…”

Section: Discussionmentioning

confidence: 99%

A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Bocean

2024

Agriculture

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Amidst the rapid evolution of digital technologies and their prospective implications for agricultural productivity, farmers are increasingly turning to Agriculture 4.0. As digitization permeates every facet of agriculture, the potential for boosting productivity while ensuring sustainability and resilience becomes increasingly tangible. The objective of this study is to understand how the adoption of digital technologies influences agricultural productivity within the diverse socioeconomic and agricultural landscapes of EU nations. The research of this study aims to address questions concerning the impact of digital technology use on agricultural productivity across EU countries. This study employs a robust analytical framework combining equation modeling (SEM), artificial neural networks, and cluster analysis. SEM analysis reveals significant associations and influences between digital technology use and productivity related to the total labor force across EU countries. Moreover, cluster analysis outlines distinct clusters of EU member states distinguished by varying degrees of digital technology incorporation and corresponding agricultural productivity, emphasizing the diverse socioeconomic contexts that influence these associations. These findings underscore the significance of embracing digital technology as a catalyst for enhancing agricultural productivity across EU nations. Future research could focus on devising strategies to promote the widespread adoption of digital technologies in agriculture across EU member states, and longitudinal analyses could offer insights into the dynamic relationship between digital technology use and agricultural output, informing policy interventions.

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“…Accordingly, it is clear that the promotion of Internet technologies and the development of rural e-commerce will inevitably promote changes in production by farmers, namely the use of green technologies in agriculture. On the one hand, the combination of e-commerce and the digital economy completes the construction of a digital system for the agricultural industry which is more conducive to the value-added and market demand transfer of green agricultural products and allows for more convenient mining and teaching of green agricultural technologies (Fu and Zhang 2022). On the other hand, the expansion of agricultural product sales by e-commerce and logistics platforms has led to a surge in the number of end customers with green consumption needs.…”

Section: Theories and Hypothesismentioning

confidence: 99%

Does e-commerce participation affect green agrotechnology adoption among reservoir resettlers? The case of China’s Three Gorges Reservoir area

Zhao

Cui²,

Zhao³

2022

Front. Environ. Sci.

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This study explores how promoting e-commerce participation impacts the adoption of green agrotechnology by resettlers in China’s Three Gorges Reservoir area and helps rural revitalization and the realization of value from ecological produce. First, we combine induced innovation model theory with the risk perception factor of expected utility theory. A model of resettlers’ green agrotechnology adoption under different levels of e-commerce participation is constructed, and research hypotheses are proposed accordingly. Survey data gathered from resettled farmers in Zigui, the first county of the studied area, are tested empirically with an ordered probit model. The results show first, that e-commerce participation significantly and positively affects the level of green agrotechnology adoption at the 1% level; and second, that expectations of the ecological value of agricultural products and the agrotechnology support provided by e-commerce are important driving factors. The promotion effect of different modes of e-commerce participation on agrotechnology adoption differ. The risk-averse behavior of resettlers can weaken the promotion effect of e-commerce participation on agrotechnology adoption.

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Can Digitalization Levels Affect Agricultural Total Factor Productivity? Evidence From China

Cited by 21 publications

References 51 publications

Dialect diversity and total factor productivity: Evidence from Chinese listed companies

Dialect diversity and total factor productivity: Evidence from Chinese listed companies

A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Does e-commerce participation affect green agrotechnology adoption among reservoir resettlers? The case of China’s Three Gorges Reservoir area

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