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地区气温条件对劳动力跨区流入的影响研究 被引量:5
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作者 唐代盛 陈丹瑰 +1 位作者 卜涛 盛伟 《人口学刊》 CSSCI 北大核心 2021年第4期36-51,共16页
伴随着劳动力空间流动性加剧和对生活品质需求的提升,地区舒适的气温条件逐渐成为留住劳动力的因素之一。文章将2012-2016年中国劳动力动态调查数据(CLDS)与地区气温资料数据集嵌套,加入中国城市统计年鉴宏观数据,采用多层次Logistic回... 伴随着劳动力空间流动性加剧和对生活品质需求的提升,地区舒适的气温条件逐渐成为留住劳动力的因素之一。文章将2012-2016年中国劳动力动态调查数据(CLDS)与地区气温资料数据集嵌套,加入中国城市统计年鉴宏观数据,采用多层次Logistic回归模型,研究发现地区年均温差对于劳动力跨区流入具有显著的负向作用,年均温差每增加1℃,劳动力跨区流入概率降低22.7%。分异估计表明45岁以下、低技能、从事第一产业劳动力对年均温差变化的敏感度更高;高公共服务水平地区年均温差对劳动力跨区流入影响不显著,主要体现在该类地区拥有较完善的医疗服务水平和优质的教育资源,对于劳动力的补偿作用大于温差变化带来的负效应。基于联立方程模型对气温条件影响劳动力跨区流入的内在机制进行检验,结果表明年均温差通过影响个体健康、幸福感和收入水平对劳动力跨区流入产生影响。因此,各地区应该更加重视节能减排政策,优化能源结构,建立环境治理措施及相应保障机制,进一步合理优化城市布局,增设绿地、公园等生态区,提升人居环境质量。同时,为避免发生“个体身体健康受损-劳动能力降低-经济负担加重-影响就业与收入-陷入贫困”一系列连锁反应,要加大对低社会经济群体的财税政策支持,建立个体健康赔偿救助机制,免费提供相关健康保险以减少气温对劳动力带来的不利影响。自然环境条件不佳地区可以依靠加大教育投入,提升教育质量,增加医疗设施,完善医疗保障体系等提高公共服务水平和生活质量,增强对劳动力跨区流入的拉力效应。 展开更多
关键词 年均温差 劳动力跨区流入 影响机制 个体健康 幸福感 收入水平
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Response of Lakes to Climate Change in Xainza Basin Tibetan Plateau Using Multi-Mission Satellite Data from 1976 to 2008 被引量:10
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作者 YI Gui-hua DENG Wei +1 位作者 LI Ai-nong ZHANG Ting-bin 《Journal of Mountain Science》 SCIE CSCD 2015年第3期604-613,共10页
Changes in the lake areas of Xainza basin in the past 33 years (1976 to 2008) were studied using Landsat data from Multispectral Scanners (1973- 1977), Thematic Mapper (1989-1992, 2007-2009), and Enhanced Themat... Changes in the lake areas of Xainza basin in the past 33 years (1976 to 2008) were studied using Landsat data from Multispectral Scanners (1973- 1977), Thematic Mapper (1989-1992, 2007-2009), and Enhanced Thematic Mapper Plus (1999-2002). The results indicated that lakes in the study area evidently expanded from 1976 to 2008, with total expansion of 1512.64km2. The mean annual air temperature presented an upward trend with certain fluctuations from 1966 to 2008. The air temperature rise rates in the cold season (o.31~C/loa) were higher than those in the hot season (0.24℃/1oa), in the Xainza station example. Precipitation exhibited evident seasonal differences. Mean annual precipitation in hot season is 281.48 mm and cold season is 32.66 mm from 1966 to 2008 in study area. Precipitation in the hot season was the major contributor to the increase in annual precipitation. Grey relational analysis (GRA) was used to study the response of lake areas to climatic factors. The mean air temperature and precipitation were selected as comoared series, and the lake areas were regarded as the reference series. The grey relational grade (GRG) between compared series and reference series were calculated through GRA. The results indicated that changes in lake areas were mainly affected by climatic factors in the hot season. Lakes in this region were classified into three grades, namely, Grades I, II, and III according to the recharge source and elevation. The GRGs of each series varied for different grade lakes: the area of Grade III lakes were the most relevant to the hot season factors, the GRGs of precipitation and air temperature were 0.7570 and 0.6606; followed by the Grade II lakes; Grade I lakes were more sensitive to the air temperature. 展开更多
关键词 LAKE Climate change Remote sensing Grey relational analysis Xainza basin TIBETANPLATEAU
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