Measuring Economic Growth from Outer Space

Tests for Specification Errors in Classical Linear Least-Squares Regression Analysis

Ramsey, J. B. (1969) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1969.tb00796.x · Cited by 3,388

Education for Growth: Why and for Whom?

Krueger, A. B., & Lindahl, M. (2001) · Journal of Economic Literature · doi:10.1257/jel.39.4.1101 · Cited by 2,121

Geography and Economic Development

Gallup, J. L., Sachs, J. D., & Mellinger, A. D. (1999) · International Regional Science Review · doi:10.1177/016001799761012334 · Cited by 1,366

Using luminosity data as a proxy for economic statistics

Chen, X., & Nordhaus, W. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017031108 · Cited by 1,188

Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption

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A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data

Elvidge, C. D., Ziskin, D. C., Baugh, K., Tuttle, B. T., Ghosh, T., Pack, D. W., Erwin, E. H., & Zhizhin, M. N. (2009) · Energies · doi:10.3390/en20300595 · Cited by 914

The Urbanization Process and Economic Growth: The So-What Question

Henderson, V. (2003) · Journal of Economic Growth · doi:10.1023/a:1022860800744 · Cited by 828

Trade and Circuses: Explaining Urban Giants

Ades, A. F., & Glaeser, E. L. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118515 · Cited by 824

Causes of Sprawl: A Portrait from Space

Burchfield, M., Overman, H. G., Puga, D., & Turner, M. A. (2006) · The Quarterly Journal of Economics · doi:10.1162/qjec.2006.121.2.587 · Cited by 746

Mapping regional economic activity from night-time light satellite imagery

Doll, C., Muller, J., & Morley, J. (2006) · Ecological Economics · doi:10.1016/j.ecolecon.2005.03.007 · Cited by 703

Illuminating the World Cup effect: Night lights evidence from South Africa

Pfeifer, G., Wahl, F., & Marczak, M. (2018) · Journal of Regional Science · doi:10.1111/jors.12410 · Cited by 24

A novel cross-sensor calibration method to generate a consistent night-time lights time series dataset

Tu, Y., Zhou, H., Lang, W., Chen, T., Li, X., & Xu, B. (2020) · International Journal of Remote Sensing · doi:10.1080/01431161.2020.1731935 · Cited by 24

Sustainability measurements in China and Japan: an application of the inclusive wealth concept from a geographical perspective

Zhang, B., Nozawa, W., & Managi, S. (2020) · Regional Environmental Change · doi:10.1007/s10113-020-01658-x · Cited by 23

Women legislators and economic performance

Baskaran, T., Bhalotra, S. R., Min, B., & Uppal, Y. (2018) · Working Paper Series · doi:10.35188/unu-wider/2018/489-6 · Cited by 23

Serving the Underserved: Microcredit as a Pathway to Commercial Banks

Agarwal, S. D., Kigabo, T., Minoiu, C., Presbitero, A., & Silva, A. F. (2021) · The Review of Economics and Statistics · doi:10.1162/rest_a_01117 · Cited by 23

Information, Mobile Communication, and Referral Effects

Jia, P., Liu, Y., Patacchini, E., & Wu, Q. M. (2019) · National Bureau of Economic Research · doi:10.3386/w25873 · Cited by 23

Lights Out ? COVID-19 Containment Policies and Economic Activity

Beyer, R., Jain, T., & Sinha, S. (2020) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-9485 · Cited by 23

Impacts of Internet Use on Political Trust: New Evidence from China

Zhou, D., Deng, W., & Wu, X. (2020) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2019.1644161 · Cited by 22

The Impact of Water Quality on GDP Growth

Desbureaux, S., Damania, R., Rodella, A.-S., Russ, J. D., & Zaveri, E. D. (2019) · World Bank, Washington, DC eBooks · doi:10.1596/33071 · Cited by 23

What do we know about poverty in North Korea?

Cuaresma, J. C., Danylo, O., Fritz, S., Hofer, M., Kharas, H., & Bayas, J. C. L. (2020) · Humanities and Social Sciences Communications · doi:10.1057/s41599-020-0417-4 · Cited by 22

Urban form and productivity: What shapes are Latin-American cities?

Duque, J. C., Lozano‐Gracia, N., Patino, J. E., & Restrepo, P. (2021) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/2399808321999309 · Cited by 25

Nontraditional Risk Factors for Obesity in Modern Society

Han, S.-J., & Lee, S. (2021) · Journal of Obesity & Metabolic Syndrome · doi:10.7570/jomes21004 · Cited by 23

Crime in India: a spatio-temporal analysis

Kabiraj, P. (2022) · GeoJournal · doi:10.1007/s10708-022-10684-7 · Cited by 22

Was India’s demonetization redistributive? Insights from satellites and surveys

Chanda, A., & Cook, C. J. (2019) · Journal of Macroeconomics · doi:10.1016/j.jmacro.2022.103438 · Cited by 33

Nanotechnology enabled radioprotectants to reduce space radiation‐induced reactive oxidative species

Babu, B., Pawar, S., Mittal, A., Kolanthai, E., Neal, C. J., Coathup, M. J., & Seal, S. (2023) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1896 · Cited by 22

Regional resilience during a trade war: The role of global connections and local networks

He, C., Li, J., Wang, W., & Zhang, P. (2024) · Journal of World Business · doi:10.1016/j.jwb.2024.101567 · Cited by 22

Precolonial Political Centralization and Contemporary Development in Uganda

Bandyopadhyay, S., & Green, E. D. (2016) · Economic Development and Cultural Change · doi:10.1086/685410 · Cited by 21

The Economic Effects of Genocide: Evidence from Rwanda†

Hodler, R. (2018) · Journal of African Economies · doi:10.1093/jae/ejy008 · Cited by 24

Fire, Tractors, and Health in the Amazon: A Cost-Benefit Analysis of Fire Policy

Morello, T. F., Martino, S., Duarte, A. F., Anderson, L. O., Davis, K. J., da Silva, S. S., & Bateman, I. J. (2019) · Land Economics · doi:10.3368/le.95.3.409 · Cited by 22

How Data-Poor Countries Remain Data Poor: Underestimation of Human Settlements in Burkina Faso as Observed from Nighttime Light Data

Andersson, M., Hall, O., & Bustos, M. F. A. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi8110498 · Cited by 22

The Relative Value of Facebook Advertising Data for Poverty Mapping

Fatehkia, M., Coles, B., Ofli, F., & Weber, I. G. (2020) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v14i1.7361 · Cited by 22

Does small-scale port investment affect local economic activity? Evidence from small-port development in Indonesia

Karimah, I. D., & Yudhistira, M. H. (2020) · Economics of Transportation · doi:10.1016/j.ecotra.2020.100180 · Cited by 22

Lights, Camera,...Income! Estimating Poverty Using National Accounts, Survey Means, and LightsPreprint

Pinkovskiy, M. L., & Sala-i-Martín, X. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2423393 · Cited by 22

Seeds of Distrust: Conflict in UgandaPreprint

Rohner, D., Thoenig, M., & Zilibotti, F. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1972310 · Cited by 22

Mobile phone coverage and violent conflict

Ackermann, K., Churchill, S. A., & Smyth, R. (2021) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2021.04.038 · Cited by 19

The incidence of extreme economic stress: Evidence from utility disconnections

Cicala, S. (2021) · Journal of Public Economics · doi:10.1016/j.jpubeco.2021.104461 · Cited by 21

The Chinese are Here: Import Penetration and Firm Productivity in Sub-Saharan Africa

Darko, C. K., Occhiali, G., & Vanino, E. (2021) · The Journal of Development Studies · doi:10.1080/00220388.2021.1956468 · Cited by 23

The impact of hurricane strikes on cruise ship and airplane tourist arrivals in the Caribbean

Chanfón, P. C., Mohan, P., Strobl, E., & Tveit, T. (2021) · Tourism Economics · doi:10.1177/13548166211037406 · Cited by 21

Predicting socioeconomic indicators using transfer learning on imagery data: an application in Brazil

Castro, D. A., & Álvarez, M. A. (2022) · GeoJournal · doi:10.1007/s10708-022-10618-3 · Cited by 22

Is better access to mobile networks associated with increased mobile money adoption? Evidence from the micro-data of six developing countries

Naito, H., & Yamamoto, S. (2022) · Telecommunications Policy · doi:10.1016/j.telpol.2022.102314 · Cited by 25

The long-term fortunes of territories as a route for agri-food policies: evidence from Geographical Indications

Vaquero‐Piñeiro, C. (2021) · Bio-based and Applied Economics · doi:10.36253/bae-9429 · Cited by 21

Local Economic Growth and Infant Mortality

Kammerlander, A., & Schulze, G. G. (2021) · Journal of Health Economics · doi:10.1016/j.jhealeco.2022.102699 · Cited by 23

Determinants of the Sustained Development of the Night-Time Economy: The Case of Hanoi, Capital of Vietnam

Son, N. N., Thu, N. T. P., Ngo, Q. D., Huyen, B. T. T., & Xuan, V. N. (2023) · Journal of risk and financial management · doi:10.3390/jrfm16080351 · Cited by 21

A human-machine collaborative approach measures economic development using satellite imagery

Ahn, D., Yang, J., Cha, M., Yang, H., Kim, J., Park, S., Han, S., Lee, S., Lee, S., & Park, S. (2023) · Nature Communications · doi:10.1038/s41467-023-42122-8 · Cited by 29

The Spatial Pattern and Influencing Factors of China’s Nighttime Economy Utilizing POI and Remote Sensing Data

Yan, G., Zou, L., & Liu, Y. (2024) · Applied Sciences · doi:10.3390/app14010400 · Cited by 21

Social Transfers and Growth: Evidence from Luminosity Data

Villa, J. M. (2016) · Economic Development and Cultural Change · doi:10.1086/687548 · Cited by 21

Intensive and extensive margins of mining and development: Evidence from Sub-Saharan Africa

Mamo, N., Bhattacharyya, S., & Moradi, A. (2019) · Journal of Development Economics · doi:10.1016/j.jdeveco.2019.02.001 · Cited by 111

Macroeconomic impacts of the 2010 earthquake in Haiti

Best, R., & Burke, P. J. (2017) · Empirical Economics · doi:10.1007/s00181-017-1405-4 · Cited by 21

Can Nighttime Light Data Be Used to Estimate Electric Power Consumption? New Evidence from Causal-Effect Inference

Zhu, Y., Xu, D., Ali, S. H., Ma, R., & Cheng, J. (2019) · Energies · doi:10.3390/en12163154 · Cited by 21

The Global Spatial Distribution of Economic Activity: Nature, History, and the Role of Trade

Henderson, J. V., Squires, T., Storeygard, A., & Weil, D. N. (2016) · National Bureau of Economic Research · doi:10.3386/w22145 · Cited by 21

Micro-Estimates of Wealth for all Low- and Middle-Income CountriesPreprint

Chi, G. (2021) · RePEc: Research Papers in Economics · doi:10.26085/c3859w · Cited by 21

Aid and Growth at the Regional Level

Dreher, A., & Lohmann, S. (2015) · Oxford Review of Economic Policy · doi:10.1093/oxrep/grv026 · Cited by 20

Long-distance water infrastructure, rural development and urban growth: Evidence from China

Cui, X., Lai, W., & Lin, T. (2025) · Journal of Urban Economics · doi:10.1016/j.jue.2025.103736 · Cited by 20

Urban-rural population mobility, government governance and regional coordinated development

Miao, S., & Li, S. (2025) · International Review of Economics & Finance · doi:10.1016/j.iref.2025.104229 · Cited by 20

Learning to Fight: Afghan Child Health and In‐utero Exposure to Conflict

Oskorouchi, H. (2019) · Population and Development Review · doi:10.1111/padr.12229 · Cited by 20

Shipping cost and development of the landlocked developing countries: Panel evidence from the common correlated effects approach

Pham, N. T. A., & Sim, N. (2019) · World Economy · doi:10.1111/twec.12871 · Cited by 20

Universities and the Formation of Edge Cities: Evidence from China's Government‐led University Town Construction

Wang, Y., & Tang, W. (2020) · Papers in Regional Science · doi:10.1111/pirs.12480 · Cited by 15

Land Rezoning and Structural Transformation in Rural India: Evidence from the Industrial Areas Program

Blakeslee, D., Chaurey, R., Fishman, R., & Malik, S. (2021) · The World Bank Economic Review · doi:10.1093/wber/lhab004 · Cited by 19

Do Lockdown Policies Reduce Economic and Social Activities? Evidence from NO2 Emissions

Keola, S., & Hayakawa, K. (2021) · The Developing Economies · doi:10.1111/deve.12274 · Cited by 20

The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data

Wang, J., Liu, H., Peng, D., Lv, Q., Sun, Y., Huang, H., & Liu, H. (2021) · Sustainability · doi:10.3390/su13084220 · Cited by 20

Does Foreign Aid Bifurcate Donor Approval?: Patronage Politics, Winner–Loser Status, and Public Attitudes toward the Donor

Chen, J., & Han, S. M. (2021) · Studies in Comparative International Development · doi:10.1007/s12116-021-09341-w · Cited by 20

Predicting poverty with vegetation index

Tang, B., Liu, Y., & Matteson, D. S. (2021) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13221 · Cited by 22

Multidimensional poverty in slums: an empirical study from urban India

Kaibarta, S., Mandal, S., Mandal, P., Bhattacharya, S., & Paul, S. (2022) · GeoJournal · doi:10.1007/s10708-021-10571-7 · Cited by 20

Aid and Local Growth in Malawi

Khomba, D. C., & Trew, A. W. (2022) · The Journal of Development Studies · doi:10.1080/00220388.2022.2032668 · Cited by 22

Associations between nighttime light and COVID-19 incidence and mortality in the United States

Zhang, Y., Peng, N., Yang, S., & Jia, P. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.102855 · Cited by 20

Remotely too equal: Popular DMSP night‐time lights data understate spatial inequality

Zhang, X., Gibson, J. K., & Deng, X. (2023) · Regional Science Policy & Practice · doi:10.1111/rsp3.12716 · Cited by 20

Measuring Inequality Using Geospatial Data

Galimberti, J. K., Pichler, S., & Pleninger, R. (2023) · The World Bank Economic Review · doi:10.1093/wber/lhad026 · Cited by 23

Growth theory after Keynes, part I: the unfortunate suppression of the Harrod-Domar model

den Berg, H. F. V. (2013) · The Journal of Philosophical Economics · doi:10.46298/jpe.10650 · Cited by 20

Migration and gender in South Africa: Following bright lights and the fortunes of others?

von Fintel, D., & Moses, E. (2017) · Regional Science Policy & Practice · doi:10.1111/rsp3.12106 · Cited by 20

Imbalance measurement of regional economic quality development: evidence from China

Liu, Q., Xu, S., & Lü, X. (2020) · The Annals of Regional Science · doi:10.1007/s00168-020-00994-4 · Cited by 20

Different characteristics of the aggregate of accounting earnings between developed and developing countries: Evidence for predicting future GDP

Sumiyana, S. (2020) · JOURNAL OF INTERNATIONAL STUDIES · doi:10.14254/2071-8330.2020/13-1/4 · Cited by 20

Regional convergence and spatial dependence across subnational regions of ASEAN: Evidence from satellite nighttime light data

Mendez, C., & Santos‐Marquez, F. (2020) · Regional Science Policy & Practice · doi:10.1111/rsp3.12335 · Cited by 20

Affluence and Food: A Simple Way to Infer Incomes

Clements, K. W., & Chen, D. (2010) · American Journal of Agricultural Economics · doi:10.1093/ajae/aaq049 · Cited by 20

Local Government Proliferation, Diversity, and ConflictPreprint

Bazzi, S., & Gudgeon, M. (2016) · RePEc: Research Papers in Economics · Cited by 20

Recovery from Conflict: Lessons of Success

Mueller, H., Piemontese, L., & Tapsoba, A. (2017) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-7970 · Cited by 20

Informal Institutions and Authoritarian Information Systems: Theory and Evidence from ChinaPreprint

Jiang, J., & Wallace, J. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2992165 · Cited by 21

Assessing the Global Economic and Poverty Effects of Antimicrobial Resistance

Ahmed, S. A., Barış, E., Go, D. S., Löfgren, H., Osorio‐Rodarte, I., & Thierfelder, K. (2017) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-8133 · Cited by 20

Estimation of Poverty in Somalia Using Innovative Methodologies

Pape, U. J., & Wollburg, P. R. (2019) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-8735 · Cited by 20

Diminishing Target-based GDP Manipulation: Evidence from China

Gong, B., Shen, Y., & Chen, D. (2025) · Journal of Public Economics · doi:10.1016/j.jpubeco.2025.105349 · Cited by 19

Street smarts

Cadamuro, G., Muhebwa, A., & Taneja, J. (2019) · ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) · doi:10.1145/3314344.3332493 · Cited by 19

Targeting humanitarian aid using administrative data: Model design and validation

Altındağ, O., O'Connell, S. D., Şaşmaz, A., Balcıoğlu, Z., Cadoni, P., Jerneck, M., & Foong, A. K. (2020) · Journal of Development Economics · doi:10.1016/j.jdeveco.2020.102564 · Cited by 19

Building Volume Per Capita (BVPC): A Spatially Explicit Measure of Inequality Relevant to the SDGs

Ghosh, T., Coscieme, L., Anderson, S., & Sutton, P. C. (2020) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2020.00037 · Cited by 19

Cities of workers, children or seniors? Stylized facts and possible implications for growth in a global sample of cities

Jedwab, R., Pereira, D., & Roberts, M. (2021) · Regional Science and Urban Economics · doi:10.1016/j.regsciurbeco.2020.103610 · Cited by 19

Local interest group activity and environmental degradation in authoritarian regimes

Carlitz, R. D., & Povitkina, M. (2021) · World Development · doi:10.1016/j.worlddev.2021.105425 · Cited by 19

Reprint: Is China fudging its GDP figures? Evidence from trading partner data

Fernald, J. G., Hsu, E., & Spiegel, M. M. (2021) · Journal of International Money and Finance · doi:10.1016/j.jimonfin.2021.102406 · Cited by 19

Do higher‐quality nighttime lights and net primary productivity predict subnational GDP in developing countries? Evidence from the Philippines

Pagaduan, J. A. (2022) · Asian Economic Journal · doi:10.1111/asej.12278 · Cited by 19

Estimating GDP growth using VIIRS night-time light data

Yu, T., Ye, Y., & Fan, Z. (2023) · International Journal of Remote Sensing · doi:10.1080/01431161.2023.2203345 · Cited by 19

Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration

Shi, M. J., Cao, Q., Rompaey, A. V., Pu, M., & Ran, B. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104920 · Cited by 19

The economic costs of trade sanctions: Evidence from North Korea

Kim, J., Kim, K., Park, S., & Sun, C. (2023) · Journal of International Economics · doi:10.1016/j.jinteco.2023.103813 · Cited by 24

Free secondary education policy and education attainment

Stenzel, A. G., Kwadwo, V. O., & Vincent, R. C. (2024) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2024.103021 · Cited by 19

The role of polycentric urban structures in shaping low-carbon lifestyles

Liu, J., Long, F., Chen, L., Zheng, L., & Mi, Z. (2024) · Cities · doi:10.1016/j.cities.2024.105616 · Cited by 19

The ABCDE of Big Data: Assessing Biases in Call-Detail Records for Development Estimates

Pestre, G., Letouzé, E., & Zagheni, E. (2019) · The World Bank Economic Review · doi:10.1093/wber/lhz039 · Cited by 19

Research on spatial characteristics of metropolis development using nighttime light data: NTL based spatial characteristics of Beijing

Yu-li, Y., Ma, M., Zhu, X., & Ge, W. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242663 · Cited by 19

Disasters and economic growth: evidence for Argentina

González, F. A. I., London, S., & Santos, M. E. (2021) · Climate and Development · doi:10.1080/17565529.2021.1873724 · Cited by 23

Spatiotemporal evolution of COVID-19 infection and detection within night light networks: comparative analysis of USA and China

Small, C., & Sousa, D. J. (2021) · Applied Network Science · doi:10.1007/s41109-020-00345-4 · Cited by 19

Delineating a hierarchical organization of ranked urban clusters using a spatial interaction network

Jia, T., Luo, X., & Li, X. (2021) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2021.101617 · Cited by 19

Spatiotemporal measurement of urbanization levels based on multiscale units: A case study of the Bohai Rim Region in China

Zhao, M. J., Cheng, W., Liu, Q., & Wang, N. (2016) · Journal of Geographical Sciences · doi:10.1007/s11442-016-1284-1 · Cited by 19

Estimating Poverty in a Fragile Context: The High Frequency Survey in South Sudan

Pape, U. J., & Parisotto, L. (2019) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-8722 · Cited by 19

What We Teach About Race and Gender: Representation in Images and Text of Children’s Books

Adukia, A., Eble, A., Harrison, E., Runesha, H. B., & Szasz, T. (2021) · National Bureau of Economic Research · doi:10.3386/w29123 · Cited by 19

Cleaner water and higher housing prices: Evidence from China☆

Ge, R., Huang, J., & Shi, X. (2025) · Journal of Public Economics · doi:10.1016/j.jpubeco.2025.105374 · Cited by 18

Do institutions determine economic Geography? Evidence from the concentration of foreign suppliers

Kamal, F., & Sundaram, A. (2019) · Journal of Urban Economics · doi:10.1016/j.jue.2019.02.001 · Cited by 18

Polygynous Family Structure and Child Undernutrition in Nigeria

Amare, M., Arndt, C., Mahrt, K., & Mavrotas, G. (2021) · The Journal of Development Studies · doi:10.1080/00220388.2021.1898591 · Cited by 18

Global Financial Cycle, Household Credit, and Macroprudential Policies

Epure, M., Mihai, I., Minoiu, C., & Peydró, J. (2024) · Management Science · doi:10.1287/mnsc.2024.4981 · Cited by 18

Urban spatial structural options for air pollution control in China: Evidence from provincial and municipal levels

Zhao, L., Liu, C., Liu, X., Liu, K., & Shi, Y. (2021) · Energy Reports · doi:10.1016/j.egyr.2021.10.050 · Cited by 18

Spatial Matching Analysis and Development Strategies of County Night-Time Economy: A Case of Anning County, Yunnan Province

Wang, W., Liu, L., & Yang, Y. (2022) · Sustainability · doi:10.3390/su14094891 · Cited by 18

Murder nature: Weather and violent crime in rural Brazil

Ishak, P. W. (2022) · World Development · doi:10.1016/j.worlddev.2022.105933 · Cited by 18

Missions, fertility transition, and the reversal of fortunes: evidence from border discontinuities in the emirates of Nigeria

Okoye, D., & Pongou, R. (2023) · Journal of Economic Growth · doi:10.1007/s10887-023-09231-x · Cited by 18

Forecasting electricity consumption in China's Pearl River Delta urban agglomeration under the optimal economic growth path with low-carbon goals: Based on data of NPP-VIIRS-like nighttime light

Rao, Y., Wang, X., & Li, H. (2024) · Energy · doi:10.1016/j.energy.2024.130970 · Cited by 18

The impact of trans-provincial watershed eco-compensation policy on carbon emissions: Evidence from China

Yang, Q., Yang, Z., & Chen, Y. (2024) · Economic Analysis and Policy · doi:10.1016/j.eap.2024.04.019 · Cited by 18

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

Bennett, M. M., & Smith, L. C. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1312035 · Cited by 18

Measuring Economic Growth from Outer Space.” National Bureau of Economic Research Working Paper 15199

Henderson, J. V., Storeygard, A., Weil, D. N., Advice, E. F., Foster, A. D. A., Hoderlein, S. G. N., Melly, B., & Orenstein, D. (2009)

Measuring economic growth from outer space: The National Bureau of Economic Research

Henderson, V., Storeygard, A., & Weil, D. N. (2009)

Measuring economic growth from outer space. NBER Working Paper 15199

Henderson, V., Storeygard, A., & Weil, D. N. (2009)

Illuminating economic growth

Hu, Y., & Yao, J. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2021.05.007 · Cited by 108

A Bright Idea for Measuring Economic Growth

Henderson, V., Storeygard, A., & Weil, D. N. (2011) · American Economic Review · doi:10.1257/aer.101.3.194 · Cited by 392