The distributional impacts of transportation networks in China
We document that the quality of roads and railroads vary substantially over time and space in China, and neglecting these variations biases the distributional impacts of transportation networks. To account for quality differences, we construct a new panel dataset and approximate quality using the de...
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sg-smu-ink.soe_research-37202024-02-05T08:50:58Z The distributional impacts of transportation networks in China MA, Lin TANG, Yang We document that the quality of roads and railroads vary substantially over time and space in China, and neglecting these variations biases the distributional impacts of transportation networks. To account for quality differences, we construct a new panel dataset and approximate quality using the design speed of roads and railroads that varies by vintage, class, and terrain at the pixel level. We then build a dynamic spatial general equilibrium model for multiple modes, transportation routes, and forward-looking migration decisions. Our findings demonstrate that disregarding quality differences leads to a median bias of approximately 31% in estimating real wage growth rates at the prefecture level. Moreover, this bias is non-random and correlates with the initial conditions of the prefectures, resulting in significant errors when predicting the distributional effects of transportation networks. 2024-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2721 info:doi/10.1016/j.jinteco.2023.103873 https://ink.library.smu.edu.sg/context/soe_research/article/3720/viewcontent/mt_transportation_final_flat.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Regional trade migration welfare economic geography Asian Studies International Economics Transportation |
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We document that the quality of roads and railroads vary substantially over time and space in China, and neglecting these variations biases the distributional impacts of transportation networks. To account for quality differences, we construct a new panel dataset and approximate quality using the design speed of roads and railroads that varies by vintage, class, and terrain at the pixel level. We then build a dynamic spatial general equilibrium model for multiple modes, transportation routes, and forward-looking migration decisions. Our findings demonstrate that disregarding quality differences leads to a median bias of approximately 31% in estimating real wage growth rates at the prefecture level. Moreover, this bias is non-random and correlates with the initial conditions of the prefectures, resulting in significant errors when predicting the distributional effects of transportation networks. |
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MA, Lin TANG, Yang |
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MA, Lin TANG, Yang |
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MA, Lin |
title |
The distributional impacts of transportation networks in China |
title_short |
The distributional impacts of transportation networks in China |
title_full |
The distributional impacts of transportation networks in China |
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The distributional impacts of transportation networks in China |
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The distributional impacts of transportation networks in China |
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distributional impacts of transportation networks in china |
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Institutional Knowledge at Singapore Management University |
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2024 |
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https://ink.library.smu.edu.sg/soe_research/2721 https://ink.library.smu.edu.sg/context/soe_research/article/3720/viewcontent/mt_transportation_final_flat.pdf |
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