论文部分内容阅读
为了揭示区域经济发展与其影响因素间的作用关系,为制定区域经济发展政策提供参考,以中部6省经济数据为例,采用普通回归模型和空间自回归模型分析和比较人均GDP增长率及其影响因素的相关关系.结果表明:数据空间自回归模型的拟合度较普通回归模型好,说明空间自回归模型能够更好地解释人均GDP增长率与其影响因素间的相关关系,其中比较显著的影响因素有人口密度、固定资产投资总额和第三产业生产总值.
In order to reveal the functional relationship between regional economic development and its influencing factors and provide references for the formulation of regional economic development policies, taking the 6 provinces’ economic data in central China for example, this paper uses ordinary regression model and spatial autoregressive model to analyze and compare the growth rate of per capita GDP and its impact The results show that the fitting degree of data autoregressive model is better than that of ordinary regression model, indicating that spatial autoregressive model can better explain the correlation between the growth rate of per capita GDP and its influencing factors, among which the more significant impact Factors such as population density, total investment in fixed assets and tertiary industry output value.