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The main goal of this study is to verify the existence of a positive correlation between digital innovation and economic growth using the panel data analysis on the 78 countries with different levels of economy (high-income, upper-middle income, lower-middle income, and lower-income countries) over period 2000-2020. The regression method used pooled OLS, fixed effects, and random effects model and after conducting the tests, such as F-test, Breusch-Pagan LM test, Hausman test, the random effects model has been chosen. The results indicate that there is a positive significant correlation between GDP per capita, PPP, and digital innovation index (as measured by the individual using the Internet % of the population, fixed broadband subscription per 100 people, and mobile cellular subscriptions per 100 people).

digital innovation, economic growth (GDP per capita) --- Sciences économiques & de gestion > Economie générale & histoire de la pensée économique

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This paper analyzes the availability, methodological soundness, and scope of National Accounts statistics in IMF member and non-member countries in 2020. National Account statistics are instrumental in the development of fiscal and monetary policy and in monitoring economic developments. This analysis examines the appropriateness of the current set of global national accounts statistics for current policy development and highlights regions where further development may be required. The assessment is based on the results of a national accounts survey conducted by Fund staff that examined the scope of national accounts programs in IMF member countries. The survey was completed by statistical authorities between March 2021 and July 2021. The information reflects the state of National Accounts Programs as of the end 2020. In cases of non-response, IMF staff used information taken from the IMF’s Dissemination Standards Bulletin Board (DSBB) and country websites to provide the status of national accounts compilation practices. This analysis summarizes the following key indicators: time lag of national accounts benchmarks, availability annual and quarterly GDP estimates, vintage of the System of National Accounts (SNA), index formula used for calculating annual constant price (volume) estimates, availability of GDP by different approaches, timeliness of disseminating and annual and quarterly GDP estimates, availability institutional sector accounts, and access to source data.

Macroeconomics --- Economics: General --- Measurement and Data on National Income and Product Accounts and Wealth --- Environmental Accounts --- General Aggregative Models: General --- Economic & financial crises & disasters --- Economics of specific sectors --- National accounts --- GDP measurement --- Currency crises --- Informal sector --- Economics --- National income --- New Zealand

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This paper analyzes the availability, methodological soundness, and scope of National Accounts statistics in IMF member and non-member countries in 2020. National Account statistics are instrumental in the development of fiscal and monetary policy and in monitoring economic developments. This analysis examines the appropriateness of the current set of global national accounts statistics for current policy development and highlights regions where further development may be required. The assessment is based on the results of a national accounts survey conducted by Fund staff that examined the scope of national accounts programs in IMF member countries. The survey was completed by statistical authorities between March 2021 and July 2021. The information reflects the state of National Accounts Programs as of the end 2020. In cases of non-response, IMF staff used information taken from the IMF’s Dissemination Standards Bulletin Board (DSBB) and country websites to provide the status of national accounts compilation practices. This analysis summarizes the following key indicators: time lag of national accounts benchmarks, availability annual and quarterly GDP estimates, vintage of the System of National Accounts (SNA), index formula used for calculating annual constant price (volume) estimates, availability of GDP by different approaches, timeliness of disseminating and annual and quarterly GDP estimates, availability institutional sector accounts, and access to source data.

New Zealand --- Macroeconomics --- Economics: General --- Measurement and Data on National Income and Product Accounts and Wealth --- Environmental Accounts --- General Aggregative Models: General --- Economic & financial crises & disasters --- Economics of specific sectors --- National accounts --- GDP measurement --- Currency crises --- Informal sector --- Economics --- National income

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Studying and managing regional economic development in the current globalization era demands prompt, reliable, and comparable estimates for a region’s economic performance. Night-time lights (NTL) emitted from residential areas, entertainment places, industrial facilities, etc., and captured by satellites have become an increasingly recognized proxy for on-ground human activities. Compared to traditional indicators supplied by statistical offices, NTLs may have several advantages. First, NTL data are available all over the world, providing researchers and official bodies with the opportunity to obtain estimates even for regions with extremely poor reporting practices. Second, in contrast to non-standardized traditional reporting procedures, the unified NTL data remove the problem of inter-regional comparability. Finally, NTL data are currently globally available on a daily basis, which makes it possible to obtain these estimates promptly. In this book, we provide the reader with the contributions demonstrating the potential and efficiency of using NTL data as a proxy for the performance of regions.

Research & information: general --- population reorganization --- population density --- spatiotemporal patterns --- DMSP-OLS --- NPP-VIIRS --- Chongqing --- education inequality --- nighttime light --- urbanization --- sustainable development --- human development --- urban hotspot delineation --- Zipf's law --- intra-urban scaling --- street nodes --- VIIRS imagery --- kernel density estimation --- Luojia 1-01 satellite --- spatial resolution --- searching radius threshold --- urban built-up area --- attention-augmented CNN --- nightlight --- fine-grained GDP estimation --- daytime satellite imagery --- arbitrary area representation --- Luojia 1-01 --- MNUACI --- urban area --- urban remote sensing --- VIIRS --- DMSP --- GDP --- nighttime lights --- cross-sectional --- time-series --- economic statistics --- functional urban areas (FUAs) --- boundaries --- multiple regression modelling --- artificial light-at-night (ALAN) --- optimal threshold --- shadow economy --- Iran --- sanctions --- JCPOA --- economic inequality --- nighttime light emissions --- spatial measurement --- population reorganization --- population density --- spatiotemporal patterns --- DMSP-OLS --- NPP-VIIRS --- Chongqing --- education inequality --- nighttime light --- urbanization --- sustainable development --- human development --- urban hotspot delineation --- Zipf's law --- intra-urban scaling --- street nodes --- VIIRS imagery --- kernel density estimation --- Luojia 1-01 satellite --- spatial resolution --- searching radius threshold --- urban built-up area --- attention-augmented CNN --- nightlight --- fine-grained GDP estimation --- daytime satellite imagery --- arbitrary area representation --- Luojia 1-01 --- MNUACI --- urban area --- urban remote sensing --- VIIRS --- DMSP --- GDP --- nighttime lights --- cross-sectional --- time-series --- economic statistics --- functional urban areas (FUAs) --- boundaries --- multiple regression modelling --- artificial light-at-night (ALAN) --- optimal threshold --- shadow economy --- Iran --- sanctions --- JCPOA --- economic inequality --- nighttime light emissions --- spatial measurement

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Studying and managing regional economic development in the current globalization era demands prompt, reliable, and comparable estimates for a region’s economic performance. Night-time lights (NTL) emitted from residential areas, entertainment places, industrial facilities, etc., and captured by satellites have become an increasingly recognized proxy for on-ground human activities. Compared to traditional indicators supplied by statistical offices, NTLs may have several advantages. First, NTL data are available all over the world, providing researchers and official bodies with the opportunity to obtain estimates even for regions with extremely poor reporting practices. Second, in contrast to non-standardized traditional reporting procedures, the unified NTL data remove the problem of inter-regional comparability. Finally, NTL data are currently globally available on a daily basis, which makes it possible to obtain these estimates promptly. In this book, we provide the reader with the contributions demonstrating the potential and efficiency of using NTL data as a proxy for the performance of regions.

population reorganization --- population density --- spatiotemporal patterns --- DMSP-OLS --- NPP-VIIRS --- Chongqing --- education inequality --- nighttime light --- urbanization --- sustainable development --- human development --- urban hotspot delineation --- Zipf’s law --- intra-urban scaling --- street nodes --- VIIRS imagery --- kernel density estimation --- Luojia 1-01 satellite --- spatial resolution --- searching radius threshold --- urban built-up area --- attention-augmented CNN --- nightlight --- fine-grained GDP estimation --- daytime satellite imagery --- arbitrary area representation --- Luojia 1-01 --- MNUACI --- urban area --- urban remote sensing --- VIIRS --- DMSP --- GDP --- nighttime lights --- cross-sectional --- time-series --- economic statistics --- n/a --- functional urban areas (FUAs) --- boundaries --- multiple regression modelling --- artificial light-at-night (ALAN) --- optimal threshold --- shadow economy --- Iran --- sanctions --- JCPOA --- economic inequality --- nighttime light emissions --- spatial measurement --- Zipf's law