Assessment of the theory of comprehensive national accounting with data for Portugal

Mota, Rui; Domingos, Tiago

doi:10.1016/j.ecolecon.2013.08.011

Cited by 13 publications

(8 citation statements)

References 17 publications

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“…Although it is unclear from the text what the time horizon, or rather the sample size, to perform these tests was. In all, Mota and Domingos () find that incorporating TFP does not improve the explanatory power of their tests as they argue that the underlying production function does not incorporate green capital.…”

Section: Testing the Predictive Power Of Gsmentioning

confidence: 96%

“…Mota and Domingos () test Portuguese data over the period 1990–2005 using time‐series methods. They test both specifications of the consumption variable with a host of GS measures, including models that incorporate technological progress.…”

Section: Testing the Predictive Power Of Gsmentioning

confidence: 99%

“…However, World Bank (2006) also warns about the hazards inherent in attempting to test data given potential measurement error. Mota and Domingos (2013) test Portuguese data over the period 1990-2005 using time-series methods. They test both specifications of the consumption variable with a host of GS measures, including models that incorporate technological progress.…”

Section: Testing the Predictive Power Of Gsmentioning

confidence: 99%

See 2 more Smart Citations

Genuine Savings and Sustainability

Hanley,

Dupuy,

McLaughlin

2015

Journal of Economic Surveys

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Genuine Savings has emerged as the leading economic indicator of sustainable economic development at the country level. It derives from the literatures on weak sustainability, wealth accounting and national income accounting. We discuss the theoretical underpinnings of GS, focusing on the relationship between changes in a nation's extended capital stock and the future path of consumption. The indicator has entered widespread use propelled by the World Bank's publications, despite its varying performance as a predictor for future consumption. Notwithstanding the extensive body of literature reviewed, promising future research avenues are identified.

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Section: Testing the Predictive Power Of Gsmentioning

confidence: 96%

Section: Testing the Predictive Power Of Gsmentioning

confidence: 99%

Section: Testing the Predictive Power Of Gsmentioning

confidence: 99%

See 1 more Smart Citation

Genuine Savings and Sustainability

Hanley,

Dupuy,

McLaughlin

2015

Journal of Economic Surveys

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“…The time period covered by most estimates range from the 1970s to the present (Hamilton and Clemens, 1999;World Bank, 4 Sustainable Development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs. It contains within it two key concepts: the concept of 'needs', in particular the essential needs of the world's poor, to which overriding priority should be given; and the idea of limitations imposed by the state of technology and social organisations on the environment's ability to meet present and future needs' (World Commission on Environment and Development, 1987, p.43 2011), although a number of studies have calculated GS for shorter (Pezzey et al, 2006;Mota and Domingos, 2013;Ferreira and Vincent, 2005;Pezzey and Burke, 2014;Ferreira and Moro, 2011) and longer horizons (Greasley et al, 2016;Lindmark and Acar, 2013;Greasley et al, 2014;Hanley et al, 2016;Rubio, 2004). Studies have tended to trade off scale and scope, with studies focusing on individual countries being richer in data quality but not directly comparable with other country-specific studies.…”

Section: Genuine Savings As Indicator Of Sustainabilitymentioning

confidence: 99%

A Sustainable Century?

Blum¹,

Ducoing

McLaughlin

2017

Oxford Scholarship Online

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This chapter traces the long-run development of genuine savings (GS) during the twentieth century using a panel of developed countries (Great Britain, Germany, Switzerland, France, the US, and Australia) and resource-abundant countries in Latin America (Argentina, Brazil, Chile, Colombia, and Mexico) representing approximately 50% of the world’s output in terms of GDP by 1950. It includes large economies and small open economies, and resource-rich and resource-scarce countries, allowing comparison of their historical experiences. Components of GS considered include physical and human capital as well as resource extraction and pollution damages. Generally, there is evidence of positive GS over the course of the twentieth century, although the two world wars and the Great Depression left considerable marks, but also striking differences between Latin American and developed countries when total factor productivity is included; this could be a signal of natural resource curse or technological gaps unnoticed in previous works.

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“…By "long-run" here, we mean a period of almost 140 years. Most previous tests of GS have focussed on rather shorter time periods (Ferreira and Vincent 2005, Ferreira, Hamilton and Vincent, 2008, Mota and Domingos, 2013, which can be argued to be less suitable for an examination of the long-run properties of an indicator. Greasley et al (2014) argue that GS measures should include an estimate of the value of technological progress, and they report results in favour of an augmented GS model using long-run British data from 1750.…”

Section: Introductionmentioning

confidence: 99%