Transforming Economic Growth into Inclusive Development: An International Analysis
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 145, Heft 1, S. 437-457
ISSN: 1573-0921
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In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 145, Heft 1, S. 437-457
ISSN: 1573-0921
In: http://hdl.handle.net/10272/11152
En este trabajo se revisan los atributos y variables que caracterizan el desarrollo en países de elevado nivel de riqueza (UE25). Se analiza la relación entre su posición en términos de riqueza material y la derivada de distintas estimaciones de índices sintéticos de desarrollo social (IDS). Para ello se utilizan, en primer lugar, los indicadores estimados por el PNUD. A continuación recurrimos a estimadores complementarios mediante la propia metodología PNUD y métodos estadísticos multivariantes y de distancias (análisis factorial y distancia P2). Los resultados obtenidos permiten identificar qué países transforman mejor (o peor) el crecimiento económico en desarrollo social, así como detectar qué dimensiones o variables del desarrollo son las responsables de los cambios de posición en los diversos rankings ; In this paper, the attributes and variables that characterize the development of rich countries (EU25) are reviewed. The relationship between the wealth levels and some estimates using synthetic indices of social development is analyzed (SDI). For this purpose, we firstly use the indicators estimated by UNDP. Afterwards, we turn to complementary estimators using UNDP methodology and multivariate statistical methods (factor analysis and distance P2). The results allow us to identify which countries do better (or worse) at turning economic growth into social development. They also contribute to detecting/ identifying the dimensions of development that are responsible for the changes in positions in several rankings
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In: Revista de Psicología del Deporte, 2016, Vol. 25, Suppl 1, pp. 47-50
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In: Journal of Sports Economics & Management, Band 6(1), Heft 5-17
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In: Tourism Economics, Fast Track, 2013. DOI: http://dx.doi.org/10.5367/te.2013.0270
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In: Revista Intercontinental de Gestão Desportiva, Band 3
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In: Land use policy: the international journal covering all aspects of land use, Band 112, S. 105808
ISSN: 0264-8377
Agricultural land abandonment is a relevant occurrence in mountainous and peripheral regions all over the world. While both positive and negative environmental consequences of this abandonment are documented (depending on the specific location and scale), in rural areas it is always linked to a reduction in production and income. To address some of these problems, the several administrative layers within the European Union (EU) have put in place public policies that focus either on the immediate causes or on the consequences. Policies aimed at promoting recultivating formerly abandoned fields have usually tried simultaneously to address both the causes (e.g., to increase farm productivity/output) and the consequences (i.e., to manage fields according to specific criteria), but the potential economic outcomes of these measures are unknown. In this paper, we estimate the effect of recultivation of abandoned farmland on the economy of a case study region in NW Spain (Galicia). We propose that this effect can be used to guide decisions on the viable expenditure levels of recultivation policy. Concerning the methodology, we relied upon geographic information systems to show the area of land suitable for recultivation is relevant: i.e. recultivation policies could result in an increase of at least 16% of current farmland. Using Standard Production Coefficients per hectare we show that the total output (at constant prices) generated by the recultivation of abandoned land would amount to 413.3 million euros/year. Calculations based on input output methods suggest that the benefits of the recultivation policies would be an increase of 1% of the total regional Gross Value Added (GVA). We show that the input-output methods underestimate the benefits of cultivation policies based on total factor productivity (TFP) improvements, which fundamentally come from the reallocation of factors among the rest of the sectors of the economy. In particular, if recultivation policies increase agricultural TFP by 26% (in order to increase ...
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