Font Size: a A A

Empirical Study On Social Economic Influencing Factors Of PM2.5 Of Main Cities In China

Posted on:2019-02-27Degree:MasterType:Thesis
Country:ChinaCandidate:L L WangFull Text:PDF
GTID:2417330575470955Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
Since the reform and opening,our country,s economy has been developing rapidly.The total economic output has increased from 458 billion 760 million yuan to 74358.5 billion yuan,which has increased about 161 times.Currently,our country has become the second largest economy in the world.The proportion of the second industry increased from 20.8%to 39.8%during 1952 to 2015.The urbanization rate changed from 12.46%in 1952 to 57.35%in 2016.However,rapid development of the economy is often accompanied by pollution of the environment.Since 2012,many areas have been affected by smoggy weather many times in our country.Haze weather has a significant influence on people's life and health.The haze is mainly consisted of PM2.5.Reducing and controlling the impact of PM2.5 on people's quality of life,establishing a sustainable economic and healthy social have been a hot issue people care in recent years.Therefore,in order to put forward effective policy recommendations,this paper tries to study the influence of social and economic factors on PM2.5 through econometric model,which is a practical work.The main research contents of the paper are as follows:firstly,we introduce the research background and status of PM2.5 at domestic and abroad;secondly,analyzing the current status of PM2.5 in China in the perspect of main city and country through the descriptive statistics method;thirdly,Geographic Weighting Regression Model based on the social-economic factors(including the GDP,the proportion of the second industry,population density)and PM2.5 is established from the perspective of'165 cities in China;fourthly,PSTR model,using the first-order lag of the second industry proportion and population as threshold variable respectively,is established to study the nonlinear relationship between the second industry proportion and PM2.5.Finally,based on the summary of the research results,some pertinent policy suggestions are put forward.The main conclusions of the study include:(1)PM2.5 shows a positive correlation on the whole and strong spatial agglomeration locally.The highest PM2.5 concentration in our country is in the Yangtze River Delta region,where the local spatial correlation map result showed High-High type;(2)Second industry proportion and per capita GDP are the two largest influences on city PM2.5 concentration.population density,number of city public transportation,industrial dust emissions and vegetation coverage rate have negative impact PM2.5 concentration;(3)the relationship between PM2.5 concentration and the proportion of the second industry performs a positive correlation,no matter which stage the proportion of the second industry and population development in.
Keywords/Search Tags:PM2.5, Social Economic Influencing Factor, Spatial Geographic Weighting Model, Panel Smoothing Transition Regression Model(PSTR)
PDF Full Text Request
Related items