Remote night-time lights sensing: Investigation and econometric application
Orientation: Some recent studies have been published that demonstrated the value of remote sensing night-time lights as descriptors and/or proxies for human activity. Research purpose: This article investigated the association between night-time light emissions and gross domestic product (GDP) esti...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AOSIS
2021-03-01
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| Series: | Journal of Economic and Financial Sciences |
| Subjects: | |
| Online Access: | https://jefjournal.org.za/index.php/jef/article/view/613 |
| _version_ | 1828734412058001408 |
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| author | Clive E. Coetzee Ewert P.J. Kleynhans |
| author_facet | Clive E. Coetzee Ewert P.J. Kleynhans |
| author_sort | Clive E. Coetzee |
| collection | DOAJ |
| description | Orientation: Some recent studies have been published that demonstrated the value of remote sensing night-time lights as descriptors and/or proxies for human activity.
Research purpose: This article investigated the association between night-time light emissions and gross domestic product (GDP) estimates for South Africa.
Motivation for the study: Satellite night-lights data seemed to be a useful proxy for economic activity at temporal and geographic scales for which traditional data are of poor quality, are unavailable or only available with a large time lag.
Research approach/design and method: The article primarily used the remote sensing of night-time light emissions using satellite technologies. The methodology employed in this study involved estimating both a vector error correction modelling (VECM) and autoregressive distributed lag (ARDL) models that map light growth into a proxy for GDP growth.
Main findings: Both the VECM and ARDL models confirmed a long-term co-integrating relationship between GDP (per capita) and night-time lights (total light intensity), a statistically significant short-term error correction term could, however, not be established through the VECM, but indeed through the ARDL model.
Practical/managerial implications: The results of the study suggested that satellite remote sensing technologies held much promise and opportunities in terms of the field of Economics and Development.
Contribution/value-add: This study contributes to our understanding of the spatial and temporal behaviour and trends in economic activity. It also suggested the use of satellite remote sensing technologies as part of official statistical frameworks and methodologies. |
| first_indexed | 2024-04-12T22:47:38Z |
| format | Article |
| id | doaj.art-0390def8548e4d749af5a126baf74ed8 |
| institution | Directory Open Access Journal |
| issn | 1995-7076 2312-2803 |
| language | English |
| last_indexed | 2024-04-12T22:47:38Z |
| publishDate | 2021-03-01 |
| publisher | AOSIS |
| record_format | Article |
| series | Journal of Economic and Financial Sciences |
| spelling | doaj.art-0390def8548e4d749af5a126baf74ed82022-12-22T03:13:28ZengAOSISJournal of Economic and Financial Sciences1995-70762312-28032021-03-01141e1e1210.4102/jef.v14i1.613431Remote night-time lights sensing: Investigation and econometric applicationClive E. Coetzee0Ewert P.J. Kleynhans1TRADE Research Entity, Faculty of Economic and Management Sciences, North-West University, PotchefstroomSchool of Economics, Faculty of Economic and Management Sciences, North-West University, PotchefstroomOrientation: Some recent studies have been published that demonstrated the value of remote sensing night-time lights as descriptors and/or proxies for human activity. Research purpose: This article investigated the association between night-time light emissions and gross domestic product (GDP) estimates for South Africa. Motivation for the study: Satellite night-lights data seemed to be a useful proxy for economic activity at temporal and geographic scales for which traditional data are of poor quality, are unavailable or only available with a large time lag. Research approach/design and method: The article primarily used the remote sensing of night-time light emissions using satellite technologies. The methodology employed in this study involved estimating both a vector error correction modelling (VECM) and autoregressive distributed lag (ARDL) models that map light growth into a proxy for GDP growth. Main findings: Both the VECM and ARDL models confirmed a long-term co-integrating relationship between GDP (per capita) and night-time lights (total light intensity), a statistically significant short-term error correction term could, however, not be established through the VECM, but indeed through the ARDL model. Practical/managerial implications: The results of the study suggested that satellite remote sensing technologies held much promise and opportunities in terms of the field of Economics and Development. Contribution/value-add: This study contributes to our understanding of the spatial and temporal behaviour and trends in economic activity. It also suggested the use of satellite remote sensing technologies as part of official statistical frameworks and methodologies.https://jefjournal.org.za/index.php/jef/article/view/613night lightslight pollutiondmsp/olsviirs/dnbinternational space stationurban human activity |
| spellingShingle | Clive E. Coetzee Ewert P.J. Kleynhans Remote night-time lights sensing: Investigation and econometric application Journal of Economic and Financial Sciences night lights light pollution dmsp/ols viirs/dnb international space station urban human activity |
| title | Remote night-time lights sensing: Investigation and econometric application |
| title_full | Remote night-time lights sensing: Investigation and econometric application |
| title_fullStr | Remote night-time lights sensing: Investigation and econometric application |
| title_full_unstemmed | Remote night-time lights sensing: Investigation and econometric application |
| title_short | Remote night-time lights sensing: Investigation and econometric application |
| title_sort | remote night time lights sensing investigation and econometric application |
| topic | night lights light pollution dmsp/ols viirs/dnb international space station urban human activity |
| url | https://jefjournal.org.za/index.php/jef/article/view/613 |
| work_keys_str_mv | AT cliveecoetzee remotenighttimelightssensinginvestigationandeconometricapplication AT ewertpjkleynhans remotenighttimelightssensinginvestigationandeconometricapplication |