中国减贫事业具有世界意义。回溯中国贫困地理研究特征和学术贡献,归纳其学科范式,对今后地理学研究巩固脱贫攻坚成果与乡村振兴有效衔接,以及相对贫困问题,具有重要学科价值。基于CiteSpace 6.1.R2对1988—2020年中国知网(CNKI)和“Web...中国减贫事业具有世界意义。回溯中国贫困地理研究特征和学术贡献,归纳其学科范式,对今后地理学研究巩固脱贫攻坚成果与乡村振兴有效衔接,以及相对贫困问题,具有重要学科价值。基于CiteSpace 6.1.R2对1988—2020年中国知网(CNKI)和“Web of Science”(WOS)核心合集的中国贫困地理文献进行知识图谱分析。结果表明:①国家和区域减贫实践促进了中国贫困地理研究机构、作者和发文数量逐渐增长,反映贫困地理研究的需求导向性;②城乡减贫政策差异和异构形成了中国乡村贫困地理和城市贫困地理研究分异格局,反映贫困地理研究的城乡二元性;③减贫政策调整与社会主要矛盾转化推动了中国贫困地理研究学科范式的变迁,反映了贫困地理研究的范式演进性;④在地理学学科范式框架下,发展地理学和贫困地理学以贫困地理研究为共同领域,发展地理学旨在建构减贫过程、方法和决策,而贫困地理学重在解构贫困过程、方法和决策,代表了两个“学科”共同的研究基础和不同的学术话语表达。展开更多
China has resolved its overall regional poverty in 2020 by attaining moderate societal prosperity.The country has entered a new development stage designed to achieve its second centenary goal.However,ecological fragil...China has resolved its overall regional poverty in 2020 by attaining moderate societal prosperity.The country has entered a new development stage designed to achieve its second centenary goal.However,ecological fragility and risk susceptibility have increased the risk of returning to ecological poverty.In this paper,the Liupan Mountain Region of China was used as a case study,and the counties were used as the scale to reveal the spatiotempora differentiation and influcing factors of the risk of returning to poverty in study area.The indicator data for returning to ecological poverty from 2011-2020 were collected and summarized in three dimensions:ecological,economic and social.The autoregressive integrated moving average model(ARIMA)time series and exponential smoothing method(ES)were used to predict the multidimensional indicators of returning to ecological poverty for 61 counties(districts)in the Liupan Mountain Region for 2021-2030.The back propagation neural network(BPNN)and geographic information system(GIS)were used to generate the spatial distribution and time variation for the index of the risk of returning to ecological poverty(RREP index).The results show that 1)ecological factors were the main factors in the risk of returning to ecological poverty in Liupan Mountain Region.2)The RREP index for the 61 counties(districts)exhibited a downward trend from 2021-2030.The RREP index declined more in medium-and high-risk areas than in low-risk areas.From 2021 to 2025,the RREP index exhibited a slight downward trend.From 2026 to2030,the RREP index was expected to decline faster,especially from 2029-2030.3)Based on the RREP index,it can be roughly divided into three types,namely,the high-risk areas,the medium-risk areas,and the low-risk areas.The natural resource conditions in lowrisk areas of returning to ecological poverty,were better than those in medium-and high-risk areas.展开更多
文摘中国减贫事业具有世界意义。回溯中国贫困地理研究特征和学术贡献,归纳其学科范式,对今后地理学研究巩固脱贫攻坚成果与乡村振兴有效衔接,以及相对贫困问题,具有重要学科价值。基于CiteSpace 6.1.R2对1988—2020年中国知网(CNKI)和“Web of Science”(WOS)核心合集的中国贫困地理文献进行知识图谱分析。结果表明:①国家和区域减贫实践促进了中国贫困地理研究机构、作者和发文数量逐渐增长,反映贫困地理研究的需求导向性;②城乡减贫政策差异和异构形成了中国乡村贫困地理和城市贫困地理研究分异格局,反映贫困地理研究的城乡二元性;③减贫政策调整与社会主要矛盾转化推动了中国贫困地理研究学科范式的变迁,反映了贫困地理研究的范式演进性;④在地理学学科范式框架下,发展地理学和贫困地理学以贫困地理研究为共同领域,发展地理学旨在建构减贫过程、方法和决策,而贫困地理学重在解构贫困过程、方法和决策,代表了两个“学科”共同的研究基础和不同的学术话语表达。
基金Under the auspices of National Natural Science Foundation of China(No.42071230)。
文摘China has resolved its overall regional poverty in 2020 by attaining moderate societal prosperity.The country has entered a new development stage designed to achieve its second centenary goal.However,ecological fragility and risk susceptibility have increased the risk of returning to ecological poverty.In this paper,the Liupan Mountain Region of China was used as a case study,and the counties were used as the scale to reveal the spatiotempora differentiation and influcing factors of the risk of returning to poverty in study area.The indicator data for returning to ecological poverty from 2011-2020 were collected and summarized in three dimensions:ecological,economic and social.The autoregressive integrated moving average model(ARIMA)time series and exponential smoothing method(ES)were used to predict the multidimensional indicators of returning to ecological poverty for 61 counties(districts)in the Liupan Mountain Region for 2021-2030.The back propagation neural network(BPNN)and geographic information system(GIS)were used to generate the spatial distribution and time variation for the index of the risk of returning to ecological poverty(RREP index).The results show that 1)ecological factors were the main factors in the risk of returning to ecological poverty in Liupan Mountain Region.2)The RREP index for the 61 counties(districts)exhibited a downward trend from 2021-2030.The RREP index declined more in medium-and high-risk areas than in low-risk areas.From 2021 to 2025,the RREP index exhibited a slight downward trend.From 2026 to2030,the RREP index was expected to decline faster,especially from 2029-2030.3)Based on the RREP index,it can be roughly divided into three types,namely,the high-risk areas,the medium-risk areas,and the low-risk areas.The natural resource conditions in lowrisk areas of returning to ecological poverty,were better than those in medium-and high-risk areas.
