Abstract: Using community-scale demographic, economic and environmental
data, the effect of labor mobility in Shenzhen on PM2.5 is tested by spatial
statistical models. The conclusions provide an empirical basis for policy
formulation and evaluation of Shenzhen’s population, economy and
environmental development. The results showed that there is a positive
correlation between labor mobility and PM2.5, and that excessive concentration
of migrant labor force induced the increase of PM2.5 level, and that the
proportion of migrant labor force strengthened the effect of labor mobility
on PM2.5 before 2015. PM2.5 is influenced by the spatial self-correlation of
demographic, economic and environmental factors in neighboring areas, and
the spatial model has unique advantages in environmental and social science
research. Finally, the future research direction is proposed from the research
scale, research content and policy evaluation of environmental problems.利用社区尺度的人口、经济与环境数据,采用空间统计模型实证检验深圳劳动力流动对与PM2.5 浓度的影响。研究结论为深圳人口、经济与环境协同发展的政策制定和评估提供了经验依据。研究结果发现,劳动力流动与PM2.5 浓度有正相关关系,流动劳动力密度过高会影响PM2.5 浓度上升,2015 年以前,流动劳动力占比强化了劳动力流动对PM2.5 浓度的影响。PM2.5 浓度受到相邻地区人口、经济、环境因素的空间自相关性影响,空间模型在环境社会科学研究方面具有独特的优势。最后,从环境问题的研究尺度、研究内容和政策评估方面提出未来的研究方向。
Abstract: This paper uses the data from China's comprehensive social survey for 2010 and 2015 to study the changes in household consumption patterns and to decompose the effects of factors affecting changes in household consumption. Between 2010 and 2015, china's per capita household consumption increased by 50.74 percent, with urban areas growing significantly faster than in rural areas. With the improvement of consumption level, the consumption structure changes from basic consumption to development and enjoyment consumption, but consumption inequality has the tendency to expand. The increase of household income level, the miniaturization of family size, the improvement of education level and urbanization are the main factors of the increase of household consumption level, while the influence of aging on the consumption pattern is relatively small. By anticipating the influence trend of family change on consumption change, policies of enlarging domestic demand and Promoting consumption and family policy should be adapted to the law of household transition. It is of positive significance to the healthy development of society and economy.本文利用中国综合社会调查2010年和2015年数据研究家庭消费模式变动,并对影响家庭消费变化的因素效用进行分解。2010-2015年间,中国家庭人均消费水平增长50.74%,城镇地区的增幅明显高于农村地区。伴随着消费水平的提高,消费结构从基本型消费向发展型和享受型消费转变,但消费不平等有扩大的趋势。家庭收入水平提高、家庭规模小型化、受教育程度提高和城市化是家庭消费水平提高的主要因素,而老龄化对家庭消费模式的影响相对较小。通过预见家庭转变对消费变动的影响趋势,使得家庭政策以及扩大内需、促进消费政策适应家庭转变的规律,对社会经济的健康发展具有积极的意义。