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Unravelling a demographic 'Mosaic': Spatial patterns and contextual factors of depopulation in Italian Municipalities, 1981-2011

机译:揭开人口统计学“马赛克”:意大利市城市的空间模式和上下文因素,1981-2011

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Population decline is a major issue impacting environmental sustainability, economic growth and social well-being. Although earlier studies evaluated demographic factors, social forces and economic aspects associated with population decline in Europe, the role of territorial factors was less considered when investigating the spatial linkages between rural depopulation and the local context. As demographic patterns are the result of past dynamics depending on place-specific factors, this study hypothesizes that (time-invariant) territorial characteristics (altitude, geographical area, proximity to the sea, and urban hierarchy) are important drivers of the spatial variability in depopulation rates on a local scale. To verify this assumption, changes over time (1981-2011) in resident populations of Italian municipalities were investigated and a regression model aimed at identifying the relevant factors shaping the population decline in Italy was run separately for three decades (1981-1991, 1991-2001, 2001-2011) with depopulation rate as the dependent variable. Model estimation was based on a system of simultaneous equations where the dependent variable at time t is an explanatory variable of the model at a subsequent time (t + 1). Results show that basic territorial factors - and especially altitude - impacted significantly on local-scale depopulation rates. North-south differences in population decline emerged more clearly in the last decade. Municipalities with a declining population at a given time were more likely to experience depopulation also in the subsequent decade. These findings highlight the relevant role of territorial factors in shaping depopulation across Italy and the importance of a spatially explicit analysis of demographic dynamics for local development research and policy.
机译:人口下降是影响环境可持续性,经济增长和社会福祉的主要问题。虽然早期的研究评估了与欧洲人口下降相关的人口因素,社会力量和经济方面,但在调查农村缺点与当地背景之间的空间联系时,领土因素的作用不太考虑。由于人口统计模式是过去动态的结果,具体取决于特定于处的因素,这项研究假设(时间不变)领土特征(海拔,地理区域,海上,海等级)是空间变异性的重要驱动因素在本地规模上的缺课率。为了验证这一假设,调查了意大利市驻地人口的时间(1981-2011)的变化,旨在确定意大利人口下降的相关因素的回归模型分别运行三十年(1981-1991,1991-- 2001,2001-2011)具有逾差变量的分算率。模型估计基于同时等式的系统,其中时刻t的相关变量是在后续时间(T + 1)的模型的解释变量。结果表明,基本的领土因素 - 特别是高度 - 对地方规模缺点率显着影响。在过去的十年中,人口下降的南北差异更清楚。在特定时间的人口下降的城市也更有可能在随后的十年中经历缺课。这些调查结果突出了领土因素在意大利塑造的塑造方面的相关作用以及对地方发展研究和政策的空间动态分析的重要性。

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