Kathryn Baragwanath , Gordon Hanson , Amit K. Khandelwal , Chen Liu , Hogeun Park
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引用次数: 0
Abstract
This paper integrates daytime and nighttime satellite imagery into a spatial general-equilibrium model to evaluate the returns to investments in new motorways. Our approach has particular value in developing-country settings in which spatially granular economic data are scarce. To demonstrate our method, we use publicly available imagery to evaluate India’s road construction projects in the early 2000s. Estimating the model and evaluating welfare impacts only requires remotely-sensed data. We find that India’s road investments improved aggregate welfare, particularly for the largest and smallest urban markets. Welfare gains were unevenly distributed across space, with the Golden Quadrilateral disproportionately benefiting large, already connected markets, while national highway upgrades delivered greater gains to smaller, more remote locations. More generally, within-district variation explains a large share of the overall spatial variance in welfare changes during this period, underscoring the value of high-resolution satellite imagery for capturing localized economic effects.
期刊介绍:
The Journal of International Economics is intended to serve as the primary outlet for theoretical and empirical research in all areas of international economics. These include, but are not limited to the following: trade patterns, commercial policy; international institutions; exchange rates; open economy macroeconomics; international finance; international factor mobility. The Journal especially encourages the submission of articles which are empirical in nature, or deal with issues of open economy macroeconomics and international finance. Theoretical work submitted to the Journal should be original in its motivation or modelling structure. Empirical analysis should be based on a theoretical framework, and should be capable of replication.