Can the Rural Digital Development Improve Forestry Economic Resilience: An Empirical Evidence Based on Panel Data of 30 Provinces
[ Objective] This study aims to investigate the mechanisms through which rural digital development improves forestry economic resilience, providing a scientific basis for promoting the formation of a new pattern of sustainable forestry development.[Method]Drawing upon panel data from 30 provinces(au...
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| Veröffentlicht in: | Linye kexue (1979) 2024-01, Vol.60 (5), p.51 |
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| container_title | Linye kexue (1979) |
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| creator | Mu, Yali Wang, Hao Yang, Hongqiang Kong, Fanbin |
| description | [ Objective] This study aims to investigate the mechanisms through which rural digital development improves forestry economic resilience, providing a scientific basis for promoting the formation of a new pattern of sustainable forestry development.[Method]Drawing upon panel data from 30 provinces(autonomous regions,municipalities) in China spanning the period 2011 to 2020, we constructed quantified measures of rural digital development and an evaluation index system for forestry economic resilience. Employing various statistical models including fixed effect, mechanism testing, panel threshold effect and spatial Dubin models, we analyzed the relationship between rural digital development and forestry economic resilience.[Result]1) Rural digital development is found to positively influence forestry economic resilience by enhancing productivity in both labor and land factors. These results remains robust even after a series of robustness tests and endogenous treatments. Significant regional differences exist in |
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Employing various statistical models including fixed effect, mechanism testing, panel threshold effect and spatial Dubin models, we analyzed the relationship between rural digital development and forestry economic resilience.[Result]1) Rural digital development is found to positively influence forestry economic resilience by enhancing productivity in both labor and land factors. These results remains robust even after a series of robustness tests and endogenous treatments. Significant regional differences exist in</description><identifier>ISSN: 1001-7488</identifier><language>chi</language><publisher>Beijing: Chinese Society of Forestry</publisher><subject>Economic development ; Forestry ; Labor ; Land resources ; Regional development ; Resilience ; Resource allocation ; Robustness ; Rural areas ; Stand structure ; Statistical models ; Sustainable development ; Sustainable forestry</subject><ispartof>Linye kexue (1979), 2024-01, Vol.60 (5), p.51</ispartof><rights>Copyright Chinese Society of Forestry 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Mu, Yali</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><creatorcontrib>Yang, Hongqiang</creatorcontrib><creatorcontrib>Kong, Fanbin</creatorcontrib><title>Can the Rural Digital Development Improve Forestry Economic Resilience: An Empirical Evidence Based on Panel Data of 30 Provinces</title><title>Linye kexue (1979)</title><description>[ Objective] This study aims to investigate the mechanisms through which rural digital development improves forestry economic resilience, providing a scientific basis for promoting the formation of a new pattern of sustainable forestry development.[Method]Drawing upon panel data from 30 provinces(autonomous regions,municipalities) in China spanning the period 2011 to 2020, we constructed quantified measures of rural digital development and an evaluation index system for forestry economic resilience. Employing various statistical models including fixed effect, mechanism testing, panel threshold effect and spatial Dubin models, we analyzed the relationship between rural digital development and forestry economic resilience.[Result]1) Rural digital development is found to positively influence forestry economic resilience by enhancing productivity in both labor and land factors. These results remains robust even after a series of robustness tests and endogenous treatments. 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Employing various statistical models including fixed effect, mechanism testing, panel threshold effect and spatial Dubin models, we analyzed the relationship between rural digital development and forestry economic resilience.[Result]1) Rural digital development is found to positively influence forestry economic resilience by enhancing productivity in both labor and land factors. These results remains robust even after a series of robustness tests and endogenous treatments. Significant regional differences exist in</abstract><cop>Beijing</cop><pub>Chinese Society of Forestry</pub></addata></record> |
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| issn | 1001-7488 |
| language | chi |
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| source | Alma/SFX Local Collection |
| subjects | Economic development Forestry Labor Land resources Regional development Resilience Resource allocation Robustness Rural areas Stand structure Statistical models Sustainable development Sustainable forestry |
| title | Can the Rural Digital Development Improve Forestry Economic Resilience: An Empirical Evidence Based on Panel Data of 30 Provinces |
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