Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization
Purpose – In the digital era, measuring rural relative poverty and exploring digitalization’s role in poverty alleviation are critical for consolidating China’s poverty-eradication achievements. Design/methodology/approach – Based on the digitalization background, this paper constructs a rural relat...
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Emerald Publishing
2025-07-01
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| Series: | Forestry Economics Review |
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| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/FER-02-2025-0003/full/pdf |
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| author | Qingqing Wang Xinsheng Pang |
| author_facet | Qingqing Wang Xinsheng Pang |
| author_sort | Qingqing Wang |
| collection | DOAJ |
| description | Purpose – In the digital era, measuring rural relative poverty and exploring digitalization’s role in poverty alleviation are critical for consolidating China’s poverty-eradication achievements. Design/methodology/approach – Based on the digitalization background, this paper constructs a rural relative poverty measurement system through the A-F double critical value method, measures the dynamic evolution of rural relative poverty in China from six dimensions: economy, education, health, living environment, psychological satisfaction and digitization level, and further analyzes the impact of rural digitalization development on rural relative poverty by constructing a fixed effect model. Findings – (1) The relative poverty in rural China has been significantly alleviated; (2) the slow improvement of health poverty has become an important factor influencing the progress of rural relative poverty alleviation; (3) increased digitization has demonstrated significant efficacy in alleviating relative rural poverty, with regionally heterogeneous effects characterized by stronger impacts in western regions than eastern and central areas. Originality/value – Therefore, it is necessary to establish a multidimensional relative poverty measurement standard which is more in line with the reality of rural China. More attention should be paid to the rural relative poverty in terms of health, and digital development should be utilized to improve their health level. The digital transformation of rural regions requires prioritized reinforcement, with a spatially adaptive development strategy tailored to regional disparities. Special emphasis should be placed on enhancing digital empowerment in western rural areas to ensure its targeted efficacy in driving sustainable rural revitalization. |
| format | Article |
| id | doaj-art-9c8fcf5b57eb49a6a7fe8cab56d31d9e |
| institution | Kabale University |
| issn | 2631-3030 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Forestry Economics Review |
| spelling | doaj-art-9c8fcf5b57eb49a6a7fe8cab56d31d9e2025-08-20T03:28:29ZengEmerald PublishingForestry Economics Review2631-30302025-07-0171547610.1108/FER-02-2025-0003Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalizationQingqing Wang0Xinsheng Pang1School of Economics and Management, Beijing Forestry University, Beijing, ChinaSchool of Economics and Management, Beijing Forestry University, Beijing, ChinaPurpose – In the digital era, measuring rural relative poverty and exploring digitalization’s role in poverty alleviation are critical for consolidating China’s poverty-eradication achievements. Design/methodology/approach – Based on the digitalization background, this paper constructs a rural relative poverty measurement system through the A-F double critical value method, measures the dynamic evolution of rural relative poverty in China from six dimensions: economy, education, health, living environment, psychological satisfaction and digitization level, and further analyzes the impact of rural digitalization development on rural relative poverty by constructing a fixed effect model. Findings – (1) The relative poverty in rural China has been significantly alleviated; (2) the slow improvement of health poverty has become an important factor influencing the progress of rural relative poverty alleviation; (3) increased digitization has demonstrated significant efficacy in alleviating relative rural poverty, with regionally heterogeneous effects characterized by stronger impacts in western regions than eastern and central areas. Originality/value – Therefore, it is necessary to establish a multidimensional relative poverty measurement standard which is more in line with the reality of rural China. More attention should be paid to the rural relative poverty in terms of health, and digital development should be utilized to improve their health level. The digital transformation of rural regions requires prioritized reinforcement, with a spatially adaptive development strategy tailored to regional disparities. Special emphasis should be placed on enhancing digital empowerment in western rural areas to ensure its targeted efficacy in driving sustainable rural revitalization.https://www.emerald.com/insight/content/doi/10.1108/FER-02-2025-0003/full/pdfDigitalizationRural relative povertyA-F double critical value methodEntropy methodFixed-effect model |
| spellingShingle | Qingqing Wang Xinsheng Pang Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization Forestry Economics Review Digitalization Rural relative poverty A-F double critical value method Entropy method Fixed-effect model |
| title | Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization |
| title_full | Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization |
| title_fullStr | Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization |
| title_full_unstemmed | Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization |
| title_short | Measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization |
| title_sort | measurement and dynamic evolution of relative poverty in rural areas under the background of digitalization |
| topic | Digitalization Rural relative poverty A-F double critical value method Entropy method Fixed-effect model |
| url | https://www.emerald.com/insight/content/doi/10.1108/FER-02-2025-0003/full/pdf |
| work_keys_str_mv | AT qingqingwang measurementanddynamicevolutionofrelativepovertyinruralareasunderthebackgroundofdigitalization AT xinshengpang measurementanddynamicevolutionofrelativepovertyinruralareasunderthebackgroundofdigitalization |