Measuring Economic Growth from Outer Space

Deng

Regional Science and Urban Economics

et al. 2016

JEL classification: H50 O18 Q40 Q53 R30 Keywords: Fukushima nuclear accident Nuclear energy Environment Land market China A B S T R A C TThis paper examines whether the 2011 Fukushima Nuclear Accident (FNA) changed the Chinese public's attitude toward nuclear energy by studying transactions in land markets near nuclear power plants in China. Using a data set that matched the details of all nuclear reactors in China with information on land transactions around them before and after the FNA, we find that the accident had dynamic effects on land markets in China. Land prices within 40 km of nuclear power plants dropped by about 18% one month after the nuclear accident. However, the impact of FNA decreased over the longer term, eventually becoming statistically insignificant. Also, the impacts of the disaster varied with plant characteristics such as operating status, construction year, and size.

Section: Other Supplementary Datamentioning

confidence: 99%

“…More detailed description of this satellite data can be found inHenderson et al (2012).13 For simplicity, we only present the statistics of some most important variables in this table, because there are a long list of category dummies for some variables. For instance, there are 18 classes for the variable "land class".…”

mentioning

confidence: 99%

Fear of nuclear power? Evidence from Fukushima nuclear accident and land markets in China

Deng

Regional Science and Urban Economics

et al. 2016

China and World Economy

“…With the rapid development of remote sensing techniques, NTL image data is widely used as an ideal proxy indicator of economic activity in regional and urban studies (Yi et al, 2014). Henderson et al (2012) show that satellite NTL data are quite useful for those areas where traditional data are of inferior quality or are unavailable.…”

Section: Variables Of Interestmentioning

confidence: 99%

City Size, Population Concentration and Productivity: Evidence from China

Shen

Chen

Yang

et al. 2019

This paper investigates the impact of China's city size and urban population concentration on city productivity by developing a distinctive index based on global nighttime light data. Using the panel data of 280 prefecture cities from 2004 to 2013 and employing dynamic system generalized method of moments and panel threshold model regression techniques, our results show that city size has a positive impact on city productivity; therefore, cities in China still have the potential to expand. While moderate urban population concentration can benefit city productivity, excessively concentrated urban population distribution may impede the growth of city productivity. We also find that the level of labor income significantly affects the impacts of urban agglomeration on labor productivity. Therefore, our results imply that city development policies should focus more on how to appropriately allocate economic activities and adjust population distribution in urban areas according to different stages of economic development.

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

“…In the past years, Light-at-Night (LAN) data, generated by the U.S. Defense Meteorological Satellite Program (US-DMSP), have been used as a proxy for information on population densities (see inter alia Sutton, 1997;Imhoff et al, 1997;Amaral et al, 2006); economic and technological performance (see inter alia Elvidge et al, 1997;Sutton et al, 2007;Henderson et al, 2009;Ghosh et al, 2009Ghosh et al, , 2010Chen & Nordhaus, 2010;Zhao et al, 2011;Kulkarni et al, 2011;Mellander et al, 2013), health studies (Kloog et al, 2007(Kloog et al, , 2009(Kloog et al, , 2010) (see Ghosh et al, 2013 andCauwels et al, 2014 for detailed reviews of various LAN-related research applications).…”

Section: Introductionmentioning

confidence: 99%

Using Light-at-Night (LAN) Satellite Data for Identifying Clusters of Economic Activities in Europe

Rybnikova

Portnov

2015

ABSTRACT:Enterprises organized in clusters are often efficient in stimulating urban development, productivity and profit outflows. Identifying clusters of economic activities (EAs) thus becomes an important step in devising regional development policies, aimed at facilitating regional economic development. However, a major problem with cluster identification stems from limited reporting of specific EAs by individual countries and administrative entities. Even Eurostat, which maintains most advances regional databases, provides data for less than 50% of all regional subdivisions of the 3 rd tier of the Nomenclature of Territorial Units for Statistics (NUTS3). Such poor reporting impedes identification of EA clusters and economic forces behind them. In this study, we test a possibility that missing data on geographic concentrations of EAs can be reconstructed using Light-at-Night (LAN) satellite measurements, and that such reconstructed data can then be used for the identification of EA clusters. As we hypothesize, LAN, captured by satellite sensors, is characterized by different intensity, depending on its source -production facilities, services, etc., -and this information can be used for EA identification. The study was carried out in three stages. First, using nighttime satellite images, we determined what types of EAs can be identified, with a sufficient degree of accuracy, by LAN they emit. Second, we calculated multivariate statistical models, linking EAs concentrations with LAN intensities and several locational and development attributes of NUTS3 regions in Europe. Next, using the obtained statistical models, we restored missing data on EAs across NUTS3 regions in Europe and identified clusters of EAs, using spatial analysis tools.