大都市地区的移民与经济增长

Xiaochu Hu
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引用次数: 5

摘要

本研究回答了移民是否有助于大都市地区的生产力和经济增长的问题,并量化了移民对生产力和经济增长的影响。本文考察了2000-2010年美国各大城市国内生产总值(GDP)与移民措施之间的关系,并试图在移民促进经济增长的三种机制中找到证据:总体效应、技能效应和互补效应。在每个效应分析中,本研究使用简化和结构形式方程,并使用固定效应和一阶差分模型。首先,以人均GDP为因变量,移民占总劳动力的比例为自变量的简化形式分析表明,总体移民对大都市生产率增长有较小的负面影响,并且这种潜在的负面影响随着大都市人口规模的增加而增加。以GDP水平为因变量、农民工数量为自变量的结构形式分析发现,移民对经济增长有显著的正向影响。然而,使用工具变量不能增强这一发现与减少内生性。其次,无论是简化形式分析还是结构形式分析,都没有发现高技能移民对生产率和经济增长有贡献。有趣的是,固定效应面板回归结果指出,低技术移民对生产率和经济增长做出了重大贡献。第三,本研究揭示了移民通过对本地劳动力的补充来促进经济增长的证据,这种补充来自教育水平相同和不同的移民和本地劳动力。移民对劳动力市场结果的影响已被广泛研究。然而,以往的文献很少关注移民对GDP等总体经济指标的影响。通过深入分析移民对大都市GDP的影响,本研究试图填补移民经济影响和区域经济增长文献的空白。本研究结果为都市移民政策的制定和实施提供了直接的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immigration and Economic Growth in Metropolitan Areas
This research answers the question whether immigration contributes to metropolitan areas’ productivity and economic growth, and it also quantifies the impacts of immigration on productivity and economic growth. It examines the relationships between metropolitan Gross Domestic Product (GDP) and the measures of immigration in the United States from 2000-2010 and attempts to find evidence in three mechanisms through which immigration can contribute to the economic growth: the overall effects, the skill effects and the complementarity effects. In each effect’ analysis, this research uses reduced- and structural-form equations and uses fixed-effects and first-difference models. First, reduced-form analysis with the specification of GDP per worker as the dependent variable and share of immigrant workers in total workforce as the independent variable revealed that the overall immigration has a small negative impact on metropolitan productivity growth, and this potential negative impact increases with metropolitan population size. Structural-form analysis with the specification of GDP level as the dependent variable and numbers of immigrant worker as the independent variable found that immigration has a significant positive impact on economic growth. However, using instrumental variables cannot enhance this finding with reduced endogeneity. Second, neither reduced- or structural- form analysis found that high-skilled immigrants contribute to the productivity and economic growth. Interestingly, fixed-effects panel regression results pointed out that low-skilled immigrants make a substantial contribution to the productivity and economic growth. Third, this research revealed evidence that immigration contributes to the economic growth through complementing native workers and the complementarity comes from both the immigrant and native workers with the same and with different levels of education. Immigration’s impact on labor market outcomes has been extensively studied. However, previous literature seldom focuses on immigration’s effect on the aggregate economic measurement such as GDP. By providing an in-depth analysis of immigrants’ impact on metropolitan GDP, this research seeks to fill the gap in the immigration economic impact and regional economic growth literature. This research’s findings provide direct guidance in making and implementing metropolitan-specific immigration policy.
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