This paper investigates the potential of information technologies to improve public service delivery and empower … the digital renewal process makes use of information technologies as part of the renewal process. The second experiment …-it-takes to renew an identification card. We find that information technologies significantly improve the quality of public …

We evaluate the impact of a place-based infrastructure development scheme directed towards India's most "backward …

The recent debates on infrastructure spending have led to renewed interest in the measurement of infrastructure and its … effects on growth and well-being. This paper updates estimates of one important type of infrastructure capital—highways and … and usage, and other measures from Highway Statistics (HS) data from FHWA. We also use the HS data and related research to …

Highway Administration Highway Statistics data to disaggregate investment in highways and streets into more detailed types to …-Wykoff default depreciation rates in the absence of other information (Fraumeni, 1997). Engineering-based pavement depreciation rates …

; redistribution ; public input goods ; asymmetric information …

Using firm level data on 70,000 enterprises in 107 countries, this paper finds important effects of access to finance …, business regulations, corruption, and to a lesser extent, infrastructure bottlenecks in explaining patterns of job creation at … face greater interruptions in infrastructure services. Larger firms spend significantly more time dealing with officials …

promoting collectivist culture. Results using 1997 and 2007 Indonesian Family Life Survey community-level panel data highlight … ; social and physical infrastructure ; allocation of spending ; community development ; Indonesia …

China in 2015, Chengdu and Chongqing, on air pollution. We use high-frequency and high spatial resolution data to track … time approach applied on data that have been through a meteorological normalisation process. This deweathering process … involves applying machine learning techniques to account for change in meteorology in air quality time series data. Our …