2019
DOI: 10.1016/j.jue.2019.01.002
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New road infrastructure: The effects on firms

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Cited by 189 publications
(133 citation statements)
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References 23 publications
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“…On one hand, our analysis shows a positive effect of road construction on alleviating the amount of falling dust and CO concentration. These findings can be explained by the fact that as higher quality ARTICLE PALGRAVE COMMUNICATIONS | https://doi.org/10.1057/s41599-019-0369-8 road is built, the manufacturing and recycling productivity and efficiency are elevated (Duran-Fernandez and Santos, 2014;Gibbons et al, 2019), which, in turns, leads to air emission reduction.…”
Section: Discussionmentioning
confidence: 99%
“…On one hand, our analysis shows a positive effect of road construction on alleviating the amount of falling dust and CO concentration. These findings can be explained by the fact that as higher quality ARTICLE PALGRAVE COMMUNICATIONS | https://doi.org/10.1057/s41599-019-0369-8 road is built, the manufacturing and recycling productivity and efficiency are elevated (Duran-Fernandez and Santos, 2014;Gibbons et al, 2019), which, in turns, leads to air emission reduction.…”
Section: Discussionmentioning
confidence: 99%
“…The treatment is commonly identified through increased accessibility due to transport infrastructure improvements such as the opening of new road or rail connections. A variety of methods is applied in this field: Gibbons & Machin (2005) use Difference-in-Differences models with unique treatment and control groups, Ahlfeldt & Feddersen (2015) identify discontinuities in their data, Yoshino & Abidhadjaev (2017) work with several treatment groups subject to different treatments, and Gibbons et al (2019) estimate the effect of a continuous treatment intensity variable.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The typical paper uses subnational geographical regions—such as Indian tehsils (Alder, Roberts, & Tewari, ; Khanna, ), Chinese counties (Banerjee, Duflo, & Qian, ), and electoral wards in the United Kingdom (Gibbons, Lyytikäinen, Overman, & Sanchis‐Guarner, )—as the unit of analysis (Figure a) . About 84% of sampled papers rely on data for such regions, whereas 11% utilize micro‐data for individual households.…”
Section: Descriptive Statisticsmentioning
confidence: 99%
“…Banerjee, Duflo, & Qian, 2012), and electoral wards in the United Kingdom(Gibbons, Lyytikäinen, Overman, & Sanchis-Guarner, 2019)-as the unit of analysis (Figure 7a). 17 About 84% of sampled papers rely on data for such regions, whereas 11% utilize micro-data for individual households.…”
mentioning
confidence: 99%