Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Exploring the Level and Influencing Factors of Digital Village Development in China: Insights and Recommendations
Digital rural construction is an important strategy for rural revitalization. In order to improve the precision of digital rural measurement, a set of evaluation indicators for digital rural construction was devised in this study. The study uses the entropy method, kernel density estimation and system clustering to quantify the level of China’s digital rural construction, as well as the Tobit test and other techniques. From the perspective of time series evolution, the construction of digital villages grew continuously, with a peak in 2020. After that, the speed of digital village construction slowed down slightly because of economic changes in both domestic and international environments. In terms of dynamic evolution, the core density curve of China’s digital rural construction shifted to the right between 2011 and 2021, accompanied by gradient influence and a multipolar development trend; local general budget revenue, the per capita disposable income of rural residents, rural infrastructure investment, computer ownership per 100 rural residents, added value of primary industry, education level, and rural power generation are some of the factors that affect the development level of China’s digital countryside. This study is helpful in understanding the influencing aspects of China’s digital rural construction, thereby facilitating the formation of suitable digital rural development strategies in various regions depending on the real scenario.
Exploring the Level and Influencing Factors of Digital Village Development in China: Insights and Recommendations
Digital rural construction is an important strategy for rural revitalization. In order to improve the precision of digital rural measurement, a set of evaluation indicators for digital rural construction was devised in this study. The study uses the entropy method, kernel density estimation and system clustering to quantify the level of China’s digital rural construction, as well as the Tobit test and other techniques. From the perspective of time series evolution, the construction of digital villages grew continuously, with a peak in 2020. After that, the speed of digital village construction slowed down slightly because of economic changes in both domestic and international environments. In terms of dynamic evolution, the core density curve of China’s digital rural construction shifted to the right between 2011 and 2021, accompanied by gradient influence and a multipolar development trend; local general budget revenue, the per capita disposable income of rural residents, rural infrastructure investment, computer ownership per 100 rural residents, added value of primary industry, education level, and rural power generation are some of the factors that affect the development level of China’s digital countryside. This study is helpful in understanding the influencing aspects of China’s digital rural construction, thereby facilitating the formation of suitable digital rural development strategies in various regions depending on the real scenario.
Exploring the Level and Influencing Factors of Digital Village Development in China: Insights and Recommendations
Xizi Cao (Autor:in) / Mingyi Yan (Autor:in) / Jun Wen (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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