Does Internet Use Increase Public Perception of Environmental Pollution?—Evidence from China

Yi, Chengzhi; Han, Jiajun; Long, Cuihong

doi:10.1007/s11205-023-03083-z

Cited by 8 publications

(3 citation statements)

References 41 publications

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“…Therefore, this study excluded forest farmer samples aged 60 and above and conducted regression analysis again. The results are shown in Table 7 regression (3). Even after reducing the sample, the happiness of forest farmers' families still demonstrates a significant positive impact from Internet use, passing the significance test at the 1% statistical level.…”

Section: Robustness Testmentioning

confidence: 88%

“…Simultaneously, the widespread diffusion of internet technology has brought about profound transformations in human society and information sharing. A plethora of environmental knowledge and ecological awareness, influenced by the information explosion, is impacting human environmental sustainability consciousness [3,4]. This has also emerged as a crucial factor in enhancing happiness.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Forest Development in the Digital Era: The Impact of Internet Use on the Happiness of Forest Farmers’ Families in Ecologically Fragile Ethnic Areas of China

Zhao,

Zhang,

Zhao

2024

Forests

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In the policy arena of the rapid development of China’s digital village, understanding how internet use enhances the happiness of forest farmers’ families holds theoretical and practical significance for promoting the protection of the ecological environment and the sustainable development of forests. This study utilizes survey data from 2023 on forest farmers in ecologically fragile ethnic areas in China. Based on sustainability, a five-dimensional evaluation index system for the happiness of forest farmers’ families has been constructed. First, the CRITIC-TOPSIS model is employed to calculate the happiness scores of forest farming households. Subsequently, the Tobit model and the mediation effect model are applied to examine and analyze the influencing factors and mechanisms of internet usage on the happiness of forest farmers’ families. The study finds that, first, an increase of one unit in terms of internet use is associated with a 0.031-unit increase in the happiness of forest farmers’ families, and that education, social perception, and policy perception all have a positive effect on the happiness of forest farmers’ families. Second, the mechanism of action suggests that internet use significantly increases forest farmers’ families’ happiness through subjective class identity. Third, further heterogeneity analyses revealed that internet use contributed to the happiness of forest farmers’ families in the male group, the low human capital group, and the group with an ecological forest ranger in the family. Therefore, it is necessary to strengthen the construction of digital rural infrastructure and develop new models such as digital forestry; cultivate and introduce specialized digital talents in rural areas and enhance the digital literacy of forestry farmers; and assist forestry farmers in establishing class identity concepts and social values conducive to the sustainable development of forests and implement ecological values in production practices, thereby improving the happiness of forest farmers’ families.

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Section: Robustness Testmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Sustainable Forest Development in the Digital Era: The Impact of Internet Use on the Happiness of Forest Farmers’ Families in Ecologically Fragile Ethnic Areas of China

Zhao,

Zhang,

Zhao

2024

Forests

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“…The population and gross domestic product (GDP) growth rate have also been identified as important factors affecting public opinion (Drews et al, 2018). Similarly, life expectancy (Canudas‐Romo et al, 2016; M. Li et al, 2010) and the number of individuals using the internet (Huang, 2020; Yi et al, 2023) have been found to have a positive correlation with public opinion. The correlation between life expectancy and metrics of public opinion about water quantity related terms can be attributed to several factors such as socio‐economic status (Pu et al, 2022), level of education (Martín Cervantes et al, 2021), and political ideology (Mangaron et al, 2022).…”

Section: Introductionmentioning

confidence: 98%

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis

Shahabi‐Haghighi,

Hamidifar

2023

Hydrological Processes

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Effective drought monitoring is of paramount importance in hydrology. It aids in mitigating the detrimental effects of water scarcity, facilitates sustainable resource management, and informs policy decisions. Therefore, it is crucial to comprehensively comprehend the dynamics and trends of drought‐related phenomena. This study aims to explore the relationship between six low water quantity terms including drought, water crisis, water scarcity, water shortage, water stress, and water insecurity and some socio‐economic, geographic, and demographic parameters for different regions of the world and to predict the future trend of public interest in the mentioned terms using Long Short‐Term Memory neural network (LSTM) models. Google Trend data analysis was used to examine the public interest in these terms from 2017 to 2022. The LSTM models were trained using historical data on the studied terms, and their performance was evaluated using Root Mean Square Error (RMSE) indicator. The Google Trend data analysis showed that public interest in water shortage and water insecurity increased significantly from 2017 to 2022. The LSTM models showed promising results for predicting future trends in the mentioned water related issues, with RMSE scores (dimensionless) ranging from 0.04 to 0.43. The most significant socio‐economic, geographic and demographic parameters were found to be population, life expectancy, access to drinking water, and access to Internet while there was no correlation between precipitation and searched terms. The results suggest that LSTM models can be an effective tool for forecasting water related issues and emphasizes the importance of socio‐economic, geographic and demographic parameters in the public search behaviour around the world. The study also highlights the increasing public awareness of water related issues and the need for sustainable water management practices, particularly in regions with high water shortage and insecurity. The LSTM‐based prediction models in this study have practical applications in early warning systems for droughts, community education on water conservation, prioritizing vulnerable areas, assessing public perception of climate change's relation to droughts, and evaluating water policies. Further research is needed to improve the accuracy of these models incorporating the effective parameters and to develop effective strategies for managing water resources in regions facing water scarcity.

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Internet Usage and Non-Farm Employment of Rural Labor: Micro-Survey Data from Rural China

Chen,

Shi,

Chen

2024

Soc Indic Res

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Does Internet Use Increase Public Perception of Environmental Pollution?—Evidence from China

Cited by 8 publications

References 41 publications

Sustainable Forest Development in the Digital Era: The Impact of Internet Use on the Happiness of Forest Farmers’ Families in Ecologically Fragile Ethnic Areas of China

Sustainable Forest Development in the Digital Era: The Impact of Internet Use on the Happiness of Forest Farmers’ Families in Ecologically Fragile Ethnic Areas of China

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis

Internet Usage and Non-Farm Employment of Rural Labor: Micro-Survey Data from Rural China

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