投资(军事)
中国
外部性
经济
边距(机器学习)
公共基础设施
挤出效应
宏观经济学
经济地理学
业务
微观经济学
政治学
计算机科学
政治
机器学习
法学
标识
DOI:10.1016/j.jdeveco.2022.102916
摘要
During the period 2003–2016, China’s infrastructure investment as a share of GDP outpaced, by a large margin, the average GDP share of entire government investment in advanced, developing, or emerging economies. A dynamic multi-sector model is constructed to assess the growth effects of this extraordinary investment episode. The model features sectoral heterogeneity in infrastructure intensity and positive externalities from aggregate infrastructure for firms and consumers. Along the model’s transition path, infrastructure investment interacts with labor-augmenting technological progress and structural change in China to generate growth. The benchmark results suggest that infrastructure expansion accounts for 14% of China’s average annual growth rate over the period 2003–2016, but the expansion was socially excessive for nearly the entire period. The analysis examines the sensitivity of the results to the strength of infrastructure externality and quantifies the contribution of various factors to infrastructure-driven growth, including crowding out, structural change, and sectoral heterogeneity in infrastructure intensity.
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