Evaluation of the Competitiveness of Statistical Regions in Latvia Using Official Statistical Information

Abstract

There is a lack of methodologically grounded and generally accepted regional competitiveness’ evaluation method in Latvia. Common feature of the research about nature of competitiveness is that competitiveness of a region depends on how high and sustainable the level of prosperity in the region is. The analysis of scientific literature showed, that most often synthetic indexes are used to evaluate competitiveness of a region. Methodology to evaluate regional competitiveness was developed and approbated in case of Latvia. To identify the most appropriate method for competitiveness index calculation, Regional Competitiveness Index (RCI) according to two different methods was calculated in the research. The results obtained were similar, but each of index calculation methods has its own advantages and disadvantages and the choice of the appropriate method will depend on the researcher's goals and objectives. Use of relative weights in index calculations affects the obtained results, therefore, necessity of relative weights must be economically justified. It was proven that regional competitiveness cannot be characterized by such simple indicators as GDP or GDP per capita. RCI shows the level of competitiveness of Latvia’s statistical regions, it is possible to compare regions in time and among each other. It allows to form regional development policy and strategy more reasonably.

Análisis Comparado De Competitividad Regional: En Base a Un Índice Compuesto Respecto Del Ranking Nacional Peruano

“…Snieška y Bruneckienė (2009) menciona que la medición a través de este método ayuda a resolver la problemática de la complejidad en la medición de la competitividad. De igual forma, Judrupa et al (2021) reconocen la ausencia de metodologías para medir la competitividad regional en Letonia, por lo que plantean un mecanismo más completo y de mayor aceptación para analizar la tendencia de la competitividad dentro de su territorio, con el uso de indicadores compuestos e índices sintéticos. No sorprende entonces que el análisis de la competitividad se encuentre asociado a utilizar en el cálculo mecanismos más completos como son los indicadores compuestos.…”

“…Sin embargo, se observa que con el ICCR 2020 (coeficiente de correlación de Pearson de -0.6935) la pobreza monetaria 2020 presenta una relación indirecta más fuerte en comparación al INCORE 2020 (coeficiente de correlación de Pearson de -0.6851) (Figura 4). Entonces, el indicador compuesto del ICCR 2020 presenta una relación inversa más fuerte con la pobreza monetaria 2020, al reflejar mejor la tendencia de la variable observada dentro del territorio(Judrupa et al (2021).…”

“…, Judrupa et al (2021),Snieška y Bruneckienė (2009) ySavić (2012) son concluyentes en afirmar que no es factible aplicar el mismo modelo a cada nación toda vez que cada realidad es completamente diferente.Adicionalmente, siguiendo la lógica del sistema, Jin y Loosveldt (2021) mencionan que el indicador compuesto de competitividad se obtiene del procesamiento de valores de controles estadísticos. En este contexto, los países generalmente toman como referencia la metodología y ranking llevado a cabo por el Foro Económico Mundial.…”

Confrontational globalization and global sustainable competitiveness of small countries

“…. ამასთან ერთად, კლიმატის გლობალური ცვლილება განსაკუთრებულ უარყოფით ზეგავლენას ახდენს ყოველი ქვეყნის არა მარტო ეკონომიკაზე, არამედ მთლიან სოციალურ-ეკონომიკურ სისტემაზე (Bedianashvili, 1995(Bedianashvili, , 2022b (ბედიანაშვილი, 2023;Cheba et al, 2019Cheba et al, , 2020Despotovic et al, 2016;Judrupa et al, 2021;Liu et al, 2022;Mishchuk et al, 2022;Möbius et al, 2020;SolAbility, 2022;Syromyatnikov et (Afonasova et al, 2019;Bedianashvili, 2023;Chen et al, 2023;Širá et al, 2020)…”