Related Experiment Video
Updated: Jul 28, 2025

07:00
Measuring the Switch Cost of Smartphone Use While Walking
Published on: April 30, 2020
1.9K
Measuring Subnational Trade Competitiveness
Robert A Huber1,2, Yannick Stiller3, Andreas Dür3
1University of Salzburg, Political Science, Salzburg, 5020, Austria. robertalexander.huber@plus.ac.at.
Scientific Data
|May 27, 2023
Summary
We introduce new measures of subnational trade competitiveness, linking regional economies to national comparative advantages. This data covers 6,475 regions across 63 countries over 21 years, aiding research on trade and globalization impacts.
Area of Science:
- Economics
- Economic Geography
- International Trade
Background:
- Measuring territorial competitiveness is crucial for understanding economic dynamics.
- Existing measures often overlook subnational economic specialization and its link to national trade patterns.
Purpose of the Study:
- To develop and introduce novel measures of subnational trade competitiveness.
- To quantify regional economic focus on national comparative advantages.
- To provide a comprehensive dataset for analyzing trade impacts.
Main Methods:
- Utilized country-level revealed comparative advantage (RCA) at the industry level.
- Integrated RCA data with subnational employment structure data.
- Developed new indices for subnational trade competitiveness.
Main Results:
- Introduced new measures of subnational trade competitiveness.
- Compiled data for 6,475 regions across 63 countries over 21 years.
- Demonstrated the plausibility of the measures through descriptive evidence and case studies (Bolivia, South Korea).
Conclusions:
- The new measures effectively capture regional economic specialization in relation to national comparative advantages.
- The dataset offers valuable insights for research on territorial competitiveness, trade impacts, and globalization.
- The findings have implications for understanding regional economic development and policy-making.
Related Concept Videos
Measures of Central Tendency
16.0K
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians,...
16.0K
Measures of Intelligence
7.7K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.7K
Econometric Views (EViews)
188
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
188
Measurement: Derived Units
43.4K
The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
43.4K
Production Efficiency
16.9K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
16.9K
Measurement: Standard Units
61.8K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
61.8K

