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A stochastic semi‐non‐parametric analysis of regional efficiency in the European Union

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  • Cristina Polo
  • Julián Ramajo
  • Alejandro Ricci‐Risquete

Abstract

This paper uses a novel semi‐non‐parametric approach, the so‐called stochastic non‐parametric envelopment on Z‐variables data (StoNEZD), to measure the performance of 279 European regions (in 28 EU member states and Norway) in the years 2000, 2007, and 2014. The StoNEZD approach combines the main virtues of the parametric and non‐parametric methods in a unifying framework. The proposed model accounts explicitly for the presence of contextual/exogenous factors that might affect the regional performance and allows for the use of statistical inference methods to explore the effects of such variables (agriculture‐to‐ gross value added (GVA) share, employment rate, and euro area membership). According to our results, a larger agriculture‐to‐GVA ratio has a negative impact on regional growth rates, whereas a higher employment rate has a positive influence on regional economic levels. In overall terms, the euro area membership appears to reduce regional average growth rates but seems to enhance regional average efficiency scores. Este trabajo utiliza un novedoso enfoque semi no paramétrico, conocido como análisis envolvente estocástico no paramétrico sobre datos de Z variables (StoNEZD, por sus siglas en inglés), para medir el desempeño de 279 regiones europeas (en 28 estados miembros de la UE y Noruega) en los años 2000, 2007 y 2014. El enfoque StoNEZD combina las principales virtudes de los métodos paramétricos y no paramétricos en un solo marco. El modelo propuesto tiene en cuenta explícitamente la presencia de factores contextuales o exógenos que podrían afectar el desempeño regional y posibilita el uso de métodos de inferencia estadística para explorar los efectos de esas variables (contribución de la agricultura al valor añadido bruto (VAB), la tasa de empleo y la pertenencia a la zona del euro). De acuerdo con los resultados, una mayor contribución de la agricultura al VAB tiene un efecto negativo en las tasas de crecimiento regional, mientras que una tasa de empleo más elevada influye positivamente en los niveles económicos regionales. En términos generales, la pertenencia a la zona del euro parece reducir las tasas promedio de crecimiento regional, pero parece mejorar los valores regionales promedio de eficiencia. 土地データは計画立案と行政に非常に重要であるが、開発途上国においてこのリソースは管理が不十分かつ利用できない場合が多い。最近独立した国では、データが削除されるなど問題が深刻化しており、新たな取り組みが必要となっている。この問題に対処するため、東ティモールにおける土地データを統合する際の法的、行政的、技術的な問題の解決策を検討し、提案する。ユーザーの視点から、データ・アクセス・インターフェースのプロトタイプを作成しテストした。このプロトタイプの実行可能性と、国土を所管する国家機関と公的と民間の両方の利害関係者に対する有用性を測定した。このプロトタイプは実用的であり、東ティモールにおける将来の土地情報システム (LIS)のあるべきかたちを予測するのに役立つことが分かった。

Suggested Citation

  • Cristina Polo & Julián Ramajo & Alejandro Ricci‐Risquete, 2021. "A stochastic semi‐non‐parametric analysis of regional efficiency in the European Union," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 7-24, February.
  • Handle: RePEc:bla:rgscpp:v:13:y:2021:i:1:p:7-24
    DOI: 10.1111/rsp3.12305
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