Estimating Mexican municipal-level economic activity indicators using nighttime lights

Corona, Francisco; Villaseñor, Elio Atenógenes; López-Pérez, Jesús; Suárez, Ranyart R.

doi:10.1007/s00181-023-02376-z

Cited by 1 publication

(1 citation statement)

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“…However, scholars of other countries made a correlation analysis on the single indicator. Corona evaluated the political and economic activity indicators of Mexico (IAEM) with nighttime light data, and realized improvement (Corona et al, 2023). Galimberti assessed the usefulness of satellite-based nighttime light data for predicting the annual GDP growth of 167 countries around the world from 1993 to 2014, and the results indicate that nighttime light data and GDP have a significant correlation (Galimberti, 2020).…”

Section: Global Applicability Of Substitutive Indicatorsmentioning

confidence: 99%

Study on the substitutability of nighttime light data for SDG indicators: a case study of Yunnan Province

Quan,

Song,

Miao

et al. 2023

Front. Environ. Sci.

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Introdution: One crucial method to attain Sustainable Development Goals (SDGs) involves timely adjustment of development policies, promoting the realization of SDGs through a time-series assessment of the degree of accomplishment. In practical applications, data acquisition is a significant constraint in evaluating the SDGs, not only in China but across the globe. Hence, expanding data channels and exploring the feasibility of various data sources for sustainable development assessment are effective strategies to tackle the challenge of data acquisition.Methods: In light of this issue, this study selected Nighttime Light Data, a remote sensing data source closely linked to human social activities, as an alternative data source. Using Yunnan Province as an example, 16 localized indicators of social, economic, and environmental types were chosen. These indicators were then subjected to a correlation analysis with the Total Nighttime Light Index (TNLI). The relationships between different types of indicators and TNLI were analyzed at both temporal and spatial scales, thus identifying the indicators for which TNLI could serve as a suitable substitute measure.Results: The study indicates that when the SDG indicators are classified into economic, social and environmental categories, the total value of nighttime light presents a significant correlation and substitutability with economic indicators; significantly correlated with some social indicators, it can reveal the weak links in the development of underdeveloped areas; it is not significantly correlated with environmental indicators, while a trend correlation exists, which can provide some reference values.Discussion: This study has demonstrated the feasibility of using Nighttime Light Data for sustainable development assessment. It provides a novel evaluation method for countries that, despite a lack of resources for conducting sustainable development assessments, have a greater need for such assessments due to their lower economic development. Furthermore, a multitude of assessment methods can be developed based on Nighttime Light Data.

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Section: Global Applicability Of Substitutive Indicatorsmentioning

confidence: 99%