China New Kinetic Energy Index of Economic Development: Contribution Rate: Innovation Driven data was reported at 5.300 % in 2022. This records a decrease from the previous number of 6.400 % for 2021. China New Kinetic Energy Index of Economic Development: Contribution Rate: Innovation Driven data is updated yearly, averaging 9.450 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 18.400 % in 2015 and a record low of 5.300 % in 2022. China New Kinetic Energy Index of Economic Development: Contribution Rate: Innovation Driven data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

Iraq: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 5.6 index points, a decline from 5.7 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Iraq from 2007 to 2024 is 7.47 index points. The minimum value, 5.6 index points, was reached in 2024 while the maximum of 9 index points was recorded in 2011.

Turkey: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 7.1 index points, an increase from 6.6 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Turkey from 2007 to 2024 is 6.5 index points. The minimum value, 4.6 index points, was reached in 2022 while the maximum of 8.7 index points was recorded in 2007.

Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

China New Kinetic Energy Index of Economic Development: Economic Vitality data was reported at 402.600 2014=100 in 2022. This records an increase from the previous number of 388.800 2014=100 for 2021. China New Kinetic Energy Index of Economic Development: Economic Vitality data is updated yearly, averaging 233.800 2014=100 from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 402.600 2014=100 in 2022 and a record low of 100.000 2014=100 in 2014. China New Kinetic Energy Index of Economic Development: Economic Vitality data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

Poland: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 2.5 index points, an increase from 2.4 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Poland from 2007 to 2024 is 3.47 index points. The minimum value, 2.1 index points, was reached in 2020 while the maximum of 4.9 index points was recorded in 2009.

Data sourced from the World Governance Indicators (WGI), World Development Indicators (WDI), Human Development Index (HDI), and Inequality measured by the Palma Ratio. This dataset includes six governance indicators from WGI, human development metrics from HDI, economic growth statistics, electricity supply data, CO2 emissions and inequality indicators. The comprehensive dataset spans from 2003 to 2018 and encompasses between 36 to 106 countries, depending on the specific variables.

We construct green growth indicators for 203 economies. A detailed description of the data and the approach used to generate the global data are presented in the Data Descriptor published in Scientific Data under the same title.

The Uneven Economic Development Indicator considers inequality within the economy, irrespective of the actual performance of an economy. For example, the Indicator looks at structural inequality that is based on group (such as racial, ethnic, religious, or other identity group) or based on education, economic status, or region (such as urban-rural divide). The Indicator considers not only actual inequality, but also perceptions of inequality, recognizing that perceptions of economic inequality can fuel grievance as much as real inequality, and can reinforce communal tensions or nationalistic rhetoric. Further to measuring economic inequality, the Indicator also takes into account the opportunities for groups to improve their economic status, such as through access to employment, education, or job training such that even if there is economic inequality present, to what degree it is structural and reinforcing. Quality/Lineage: The data is downloaded from the above link http://fundforpeace.org/fsi/indicators/e2/ and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.

This statistic shows the leading advanced economies according to the 2018 edition of the World Economic Forum's Inclusive Development Index. Countries are given a score from *** to *****, with higher scores translating to greater inclusivity in that economy. In 2018, the most inclusive economy was Norway with a score of ****.

China New Kinetic Energy Index of Economic Development: Transformation and Upgrading data was reported at 162.800 2014=100 in 2022. This records an increase from the previous number of 160.900 2014=100 for 2021. China New Kinetic Energy Index of Economic Development: Transformation and Upgrading data is updated yearly, averaging 144.100 2014=100 from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 162.800 2014=100 in 2022 and a record low of 100.000 2014=100 in 2014. China New Kinetic Energy Index of Economic Development: Transformation and Upgrading data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

The Human Mobility Index

The distance among villages, cities, regions, countries, and other socio-economic and political entities has long been considered important in explaining their comparative political and economic development. While theories abound about how geographical isolation and distances affect trade, warfare, epidemics, and colonization among many others, there is a lack of systematic historical data on communication and transportation costs, as well as geographical distances. This has led many scholars to use great circle distances as a proxy. This measure, however, is rather crude as it does not capture the large variation in the geographical and technological conditions underlying similar great circle distances in different periods.

In Özak (2018) I rectify this deficiency by introducing a novel set of measures of historical mobility: "The Human Mobility Index (HMI)" which estimates the potential minimum travel time across the globe (measured in hours) accounting for human biological constraints, as well as geographical and technological factors that determined travel time before the widespread use of steam power. In particular, the HMI indices provide a distinct measure of human mobility potential in different eras:

1. Human Mobility Index (HMI): This index measures mobility on land without seafaring technology. It shows mobility potential on land before the widespread use of steam power.
2. Human Mobility Index with Seafaring: HMI expanded to allow mobility on a select set of seas for which historical data was available. It shows potential mobility on land and seas before the introduction of ocean-faring ships.
3. Human Mobility Index with Ocean: HMI expanded to allow mobility on all seas based on CLIWOC (interpolated). It shows potential mobility on land and seas after the introduction of ocean-faring ships but before the widespread use of steamships.

Based on these cost surfaces, researchers can find the minimum travel times between locations or construct more sophisticated statistics based on these. For example, Ashraf, Galor, and Özak (2010) construct measures of pre-historic geographical isolation to study the effect of isolation on development. Similarly, Özak (2010), Depetris-Chauvin and Özak (2016, 2018), and Michalopoulus and Özak (2019) construct potential trade and information flow networks among countries, ethnic groups, cities, and artificial geographical units, to study the origins of the division of labor, and the effect of technological change on isolation and development. Likewise, Depetris-Chauvin and Özak (2019) use these measures to construct artificial states based on Voronoi partitions.

This strategy overcomes the potential mismeasurement of distances generated by using geodesic distances (Özak 2010), for a period when travel time was the most important determinant of transportation costs. Additionally, it removes the potential concern that travel time to the frontier reflects a country's stage of development, mitigating further possible endogeneity concerns. The research validates these measures by (i) analyzing their association with actual historical travel time; (ii) examining their explanatory power for the location of historical trade routes in the Old World; and (iii) analyzing their association with genetic and cultural distances.

The project's main page is https://human-mobility-index.github.io/. This repository holds the data files, which researchers can download and use with GIS software. It will also provide the data for the Python package to compute distances based on them.

Purpose: The article examines specific factors of socio-economic development in the context of national security. The purpose of the current work is to identify the connections between selected indicators of socio-economic development and the level of national security, in the context of improving the quality of life for all citizens. Design/Methodology/Approach: The process of globalization has caused changes that manifest in various spheres of human life. One of the main positive aspects of the globalization process, which affects the quality of human life, is regional development. This can be measured using selected socio-economic indicators. Findings: Regional development is not the only factor that affects the quality of human life. Negative aspects of the socio-economic development process, such as illegal migration and the overall increase in crime, have made the issue of national security extremely relevant for every country. Practical Implications: One of the numerous aspects of national security that negatively affects the quality of human life, as well as the overall perception of the globalization process, is migration and the crimes committed by foreigners in certain countries. Originality/Value: Since the goal of socio-economic development is to improve the quality of human life, it is also necessary in this context to address the security issues of each citizen in a given country, which, overall, is a component of national security.

1. Data content: Our country's energy is categorized by types of indicators, including intensity, flexibility, per capita indicators, security indicators, concentration, electricity load, renewable energy, and carbon emissions indicators, among others. 2. Collection purpose: As the basis for the formulation and review of our country's energy-related policies. 3. Collection method: Mostly compiled and calculated from energy supply-side production and sales data and government-publicized statistics.

Explore the spatial patterns of the Human Development Index (HDI) to identify regional pat- terns and causal factors in the data. The GeoInquiry activity is available here.Educational standards addressed:APHG: VI:B2 Analyze spatial patterns of social and economic development – GNI per capita. APHG: VI:B1 Explain social and economic measures of development – HDI, Gender Inequali- ty Index (GII), Total Fertility Rate (TRF).APHG: VI:B6 Social and economic measures of development — Changes in fertilityand mortalityThis map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

Chile: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 4.7 index points, a decline from 4.9 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Chile from 2007 to 2024 is 5.04 index points. The minimum value, 4 index points, was reached in 2007 while the maximum of 5.7 index points was recorded in 2017.

As of 2021, the Sustainable Development Goal (SDG) index score for decent work and economic growth (SDG 8) ranges between ** and ** for Indian states and union territories. The state of Himachal Pradesh had the highest score of **.

The score given to Mexico on the Global Competitiveness Report, a study that assesses the competitiveness level of countries' economies worldwide, has been rising recently. In 2019, the Mexican economy had a competitiveness index of 64.9 points (in a range from 1 to 100), up from 64.6 points obtained a year earlier. Moreover, Mexico was deemed the second most competitive economy in Latin America, just behind Chile.

This data is secondary data used to measure the effect of financial independence, economic growth and human development index on poverty. The data is calculated using SPSS.

China New Kinetic Energy Index of Economic Development: Contribution Rate: Economic Vitality data was reported at 1.600 % in 2022. This records a decrease from the previous number of 8.000 % for 2021. China New Kinetic Energy Index of Economic Development: Contribution Rate: Economic Vitality data is updated yearly, averaging 8.200 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 27.100 % in 2017 and a record low of 1.600 % in 2022. China New Kinetic Energy Index of Economic Development: Contribution Rate: Economic Vitality data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.