Using multitemporal night-time lights data to compare regional development in Russia and China, 1992–2012

ABSTRACT Multitemporal remotely sensed night-time lights data are often used as a proxy for population and economic growth, with China the most commonly researched area. Less is known about how lights respond to socioeconomic decline. Russia, a depopulating neighbour of China that experienced severe economic turmoil following the Soviet Union’s disintegration in 1991, provides a useful case study to investigate the relationships between lights, depopulation, and economic contraction at national and provincial scales. We use the U.S. Air Force Defence Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) V4 annual stable lights composites to compare changes in lights in Russia and China from 1992 to 2012. These two countries share a history of communist planning but have experienced divergent development patterns since the collapse of communism in the early 1990s. At the national scale, the total amount of lights in Russia declined between 1992 and 2012, while China’s lights more than doubled. At the provincial scale, Russia exhibited an increase in inequality of lights per federal subject, while China’s provinces became more equal to one another, particularly as Western China caught up to the more developed East Coast. To understand what may have driven these changes in lights, relationships with population and gross domestic product (GDP) are examined from 2000 to 2012 using panel regression models. While changes in population and GDP explain 81% of change over time in lights within China’s provinces, they explain only 6% of change within Russia’s provinces. The strong relationships found between changes in lights, population, and GDP in rapidly growing, urbanizing China appear to break down in areas undergoing depopulation and economic contraction.

[1]  T. Croft Nighttime Images of the Earth from Space , 1978 .

[2]  P. H. Demp Statistical data. , 1994, Journal of the American Podiatric Medical Association.

[3]  C. Elvidge,et al.  A Technique for Using Composite DMSP/OLS "City Lights"Satellite Data to Map Urban Area , 1997 .

[4]  R. Stott,et al.  The World Bank , 2008, Annals of tropical medicine and parasitology.

[5]  Y. Wei Regional inequality in China , 1999 .

[6]  Yan Sun Reform, State, and Corruption: Is Corruption Less Destructive in China than in Russia? , 1999 .

[7]  Boulder,et al.  The artificial night sky brightness mapped from DMSP satellite Operational Linescan System measurements , 2000, astro-ph/0003412.

[8]  Y. Wei Regional Development in China: States, Globalization and Inequality , 2000 .

[9]  M. Amelina Why Russian Peasants Remain in Collective Farms: A Household Perspective on Agricultural Restructuring , 2000 .

[10]  D. Roberts,et al.  Census from Heaven: An estimate of the global human population using night-time satellite imagery , 2001 .

[11]  Mikhail A. Alexseev Socioeconomic and Security Implications of Chinese Migration in the Russian Far East , 2001 .

[12]  C. Elvidge,et al.  Night-time lights of the world: 1994–1995 , 2001 .

[13]  D. J. Peterson,et al.  Russia's Industrial Infrastructure: A Risk Assessment , 2002 .

[14]  Iu. L. Pivovarov The Urbanization of Russia in the Twentieth Century, Perceptions and Reality , 2003 .

[15]  Niobe Thompson Migration and Resettlement in Chukotka: A Research Note , 2004 .

[16]  David S. G. Goodman Qinghai and the Emergence of the West: Nationalities, Communal Interaction and National Integration , 2004, The China Quarterly.

[17]  Heike Holbig The Emergence of the Campaign to Open Up the West: Ideological Formation, Central Decision-making and the Role of the Provinces , 2004, The China Quarterly.

[18]  S. Fan,et al.  Infrastructure and regional economic development in rural China , 2004 .

[19]  Nicolas Becquelin Staged Development in Xinjiang , 2004, The China Quarterly.

[20]  Shu-Kun Lin Molecular Diversity Preservation International , 2004 .

[21]  David S. G. Goodman The Campaign to “Open Up the West”: National, Provincial-level and Local Perspectives , 2004, The China Quarterly.

[22]  G. Wall,et al.  Ecotourism and Community Development: Case Studies from Hainan, China , 2004, Environmental management.

[23]  Robert W. Orttung,et al.  Explaining Patterns of Corruption in the Russian Regions , 2004 .

[24]  C. Elvidge,et al.  Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .

[25]  D. Qin,et al.  How Much Does Investment Drive Economic Growth in China , 2006 .

[26]  J. Muller,et al.  Mapping regional economic activity from night-time light satellite imagery , 2006 .

[27]  The Economic Marginalization of Post-Soviet Russia's Elderly Population and the Failure of State Ageing Policy: A Case Study of Magadan City , 2006 .

[28]  I. Molodikova,et al.  Urbanization patterns in Russia in the post-Soviet era , 2007 .

[29]  P. Sutton,et al.  Estimation of Gross Domestic Product at Sub-National Scales using Nighttime Satellite Imagery , 2007 .

[30]  B. Taylor Putin's "Historic Mission" State-Building and the Power Ministries in the North Caucasus , 2007 .

[31]  Harry X. Wu The Chinese GDP Growth Rate Puzzle: How Fast Has the Chinese Economy Grown? , 2007, Asian Economic Papers.

[32]  G. Wall,et al.  ThE QiNGhai-TiBET RaiLWay aNd TiBET TouRiSm: TRavELERS' PERSPECTivES , 2007 .

[33]  P. Nyiri,et al.  The Altai Road: Visions of Development across the Russian–Chinese Border , 2008 .

[34]  M. Goldman Petrostate: Putin, Power, and the New Russia , 2008 .

[35]  C. Fan,et al.  Regional Inequality in China, 1978-2006 , 2008 .

[36]  Mikhail Zhizhin,et al.  A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .

[37]  G. Ioffe,et al.  Trans-border Exchange between Russia and China: The Case of Blagoveshchensk and Heihe , 2009 .

[38]  Boriss Siliverstovs,et al.  Think national, forecast local: a case study of 71 German urban housing markets , 2015 .

[39]  Theodore P. Gerber,et al.  Security Through Sociology: The North Caucasus and the Global Counterinsurgency Paradigm , 2009 .

[40]  Christopher D. Elvidge,et al.  Estimation of Mexico's Informal Economy and Remittances Using Nighttime Imagery , 2009, Remote. Sens..

[41]  Christopher Doll,et al.  Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery , 2010 .

[42]  M. Dunford,et al.  Chinese Spatial Inequalities and Spatial Policies , 2010 .

[43]  K. Seto,et al.  Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data , 2011 .

[44]  W. Nordhaus,et al.  Using luminosity data as a proxy for economic statistics , 2011, Proceedings of the National Academy of Sciences.

[45]  Shixin Wang,et al.  Population spatialization in China based on night-time imagery and land use data , 2011 .

[46]  N. Currit,et al.  Net primary production and gross domestic product in China derived from satellite imagery , 2011 .

[47]  C. Elvidge,et al.  National Trends in Satellite-Observed Lighting: 1992–2012 , 2011 .

[48]  T. Pei,et al.  Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities , 2012 .

[49]  J. Henderson,et al.  Measuring Economic Growth from Outer Space , 2009, The American economic review.

[50]  Masanao Hara,et al.  A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[51]  Zhifeng Liu,et al.  Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 , 2012 .

[52]  Nora L. Álvarez-Berríos,et al.  Contrasting Patterns of Urban Expansion in Colombia, Ecuador, Peru, and Bolivia Between 1992 and 2009 , 2013, AMBIO.

[53]  Taming Tibet: Landscape Transformation and the Gift of Chinese Development , 2013 .

[54]  Didier Sornette,et al.  Dynamics and spatial distribution of global nighttime lights , 2013, EPJ Data Science.

[55]  S. Frolking,et al.  A global fingerprint of macro-scale changes in urban structure from 1999 to 2009 , 2013 .

[56]  R. Argenbright Moscow on the Rise: From Primate City to Megaregion* , 2013 .

[57]  Xi Li,et al.  Detecting Zimbabwe's Decadal Economic Decline Using Nighttime Light Imagery , 2013, Remote. Sens..

[58]  Christopher Small,et al.  Night on Earth: Mapping decadal changes of anthropogenic night light in Asia , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[59]  S. Michalopoulos,et al.  National Institutions and Subnational Development in Africa , 2012, The quarterly journal of economics.

[60]  M. Pinkovskiy Economic Discontinuities at Borders: Evidence from Satellite Data on Lights at Night , 2013 .

[61]  Lin Ma,et al.  Evaluating Saturation Correction Methods for DMSP/OLS Nighttime Light Data: A Case Study from China's Cities , 2014, Remote. Sens..

[62]  Xuezhi Feng,et al.  Detecting China’s Urban Expansion Over the Past Three Decades Using Nighttime Light Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[63]  Jing Li,et al.  Mapping and Evaluating the Urbanization Process in Northeast China Using DMSP/OLS Nighttime Light Data , 2014, Sensors.

[64]  K. Gaston,et al.  Contrasting trends in light pollution across Europe based on satellite observed night time lights , 2014, Scientific Reports.

[65]  Yang Yang,et al.  Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review , 2014, Remote. Sens..

[66]  Feng Shi,et al.  Spatialization of electricity consumption of China using saturation-corrected DMSP-OLS data , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[67]  Transformations in the Rural Life in Russian Belgorod Region in 2000-2013 Through 'Modernization' Theoretical Perspective: Increasing Material Well-Being, Growing Individualism and Persisting Pessimism , 2014 .

[68]  A. Montanari,et al.  Satellite nighttime lights reveal increasing human exposure to floods worldwide , 2014 .

[69]  Chenghu Zhou,et al.  Comparative Estimation of Urban Development in China's Cities Using Socioeconomic and DMSP/OLS Night Light Data , 2014, Remote. Sens..

[70]  Deren Li,et al.  Can night-time light images play a role in evaluating the Syrian Crisis? , 2014 .

[71]  L. Joppa,et al.  Mapping Change in Human Pressure Globally on Land and within Protected Areas , 2014, Conservation biology : the journal of the Society for Conservation Biology.

[72]  Jianping Wu,et al.  Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data , 2014, Remote. Sens..

[73]  Hanwei Liang,et al.  Modeling In-Use Steel Stock in China's Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights , 2014, Remote. Sens..

[74]  Duong H. Nong,et al.  Mapping Urban Transitions Using Multi-Temporal Landsat and DMSP-OLS Night-Time Lights Imagery of the Red River Delta in Vietnam , 2014 .

[75]  Deren Li,et al.  Multi-Scale Measurement of Regional Inequality in Mainland China during 2005-2010 Using DMSP/OLS Night Light Imagery and Population Density Grid Data , 2015 .

[76]  Ola Hall,et al.  Monitoring economic development from space : using nighttime light and land cover data to measure economic growth , 2015 .

[77]  Jun Li,et al.  An improved method of night-time light saturation reduction based on EVI , 2015 .

[78]  K. Hubacek,et al.  Analysis of spatial patterns of urban growth across South Asia using DMSP-OLS nighttime lights data , 2015 .

[79]  Maria Francisca Archila Bustos,et al.  Nighttime lights and population changes in Europe 1992–2012 , 2015, Ambio.

[80]  Chongyang Wang,et al.  A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: a case study in the Pearl River Delta, southern China , 2015 .

[81]  Xi Chen,et al.  A Test of the New VIIRS Lights Data Set: Population and Economic Output in Africa , 2015, Remote. Sens..

[82]  Bin Gao,et al.  Dynamics of Urbanization Levels in China from 1992 to 2012: Perspective from DMSP/OLS Nighttime Light Data , 2015, Remote. Sens..

[83]  M. Tan Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data , 2015 .

[84]  A. Korolev Russia's Reorientation to Asia: Causes and Strategic Implications , 2016 .

[85]  C. Small,et al.  Humans on Earth: Global extents of anthropogenic land cover from remote sensing , 2016 .

[86]  M. Bennett,et al.  Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics , 2017 .

[87]  Disposable Ordos: The making of an energy resource frontier in western China , 2017 .

[88]  Nils B. Weidmann,et al.  Using night light emissions for the prediction of local wealth , 2017 .