Nearly20Years The Xinjiang Temporal Variation Of Population Characteristics And Economic Relations

This paper summarized the research profile at home and abroad on the populationdistribution, characteristics of the demographic changes of the past20years, XinjiangUygur Autonomous Region, and87cities and counties in Xinjiang population andpopulation density were classified statistics, population The spatial distribution andthe Lorenz curve directly reflects the spatial distribution of population and populationdensity; Geoda software analysis on the population size and population density fromthe global space, relevant and local spatial autocorrelation two; gray relational gradeon the Xinjiang Uygur Autonomous Region, nearly20years, demographic changesand the impact of the economic and social factors analysis, and detailed analysis ofthe main factors affect the extent of14to the state seat of government in Xinjiang.The conclusions are as follows:1) The past20years, the population of Xinjiang Uygur Autonomous Region was thetrend of linear growth, specific changes in1990-2000, the number of agriculturalpopulation growth is greater than the number of non-agricultural population growth,2000-2009, non-agricultural population growth The number is greater than thenumber of agricultural population. From the different stages of the growth in thenumber of the total population in each stage of an inverted "V" type development;agricultural population was down "N" type development; non-agricultural populationwas "V" type development.(2) Population at the time showed an increasing trend in space was a central andsouthwestern distribution of dense and sparse fabric of the northern and south-eaststate. Lorenz curve reflects the distribution of population imbalance, and continues tothe present imbalance enhanced from1990.(3) The use of the ESDA on demographic indicators of autocorrelation analysis andfound that the spatial concentration of population the number of features and performance of the economies of the Tianshan Mountains with the degree of strong,the rest of the weak correlation. The spatial distribution pattern of population densityand population distribution characteristics are quite different.(4) The population of gray relational grade analysis found: the correlation coefficientbetween the various indicators and the population of greater than0.7, includingagriculture, forestry, animal husbandry and fishery output value of the correlationcoefficient of the population, the largest, most relevant, followed by retail sales ofsocial consumer goods the total amount of the associated sequence is always hoveringin the2,3-position, another total investment in fixed assets and the population wasgradually enhanced, while the correlation of per capita GDP and population hasweakened.(5) The population density of gray relational grade analysis found that: the relevanceof the indicators and the population density, the most significant correlation of totalretail sales and population density, industrial output value of its impact at the forefront,the fiscal revenue of population density the distribution point role.(6) The main factors to affect the population and population density of14to the stategovernment of Xinjiang city of the specific impact analysis and found that thepopulation increase in the number of cities ARGICULTURAL, total retail sales ofsocial consumer goods and investment in fixed assets the total is increasing year byyear. The population density of Urumqi, Karamay, Korla City by the effects of majoreconomic indicators.