15 research outputs found
La convergence rĂ©elle selon la ThĂ©orie de la Croissance: Quelles explications pour lâUnion EuropĂ©enne?
L'Union Européenne est toujours et restera sûrement pendant quelque temps
(avec l'élargissement) un groupe de pays marqué par des différences importantes dans
les niveaux de revenu. Bien que les pays européens du Sud, qui dans les années 50
étaient classés par la Banque Mondiale comme des pays en voie de développement,
fassent maintenant partie du monde dĂ©veloppĂ©, la vĂ©ritĂ© est quâils sont encore loin
dâatteindre les niveaux de revenu de leur contre-partie nordique. Il semble alors que
comprendre le processus de convergence rĂ©elle qui s'est produit en Europe, soit tout Ă
fait important et puisse ĂȘtre utile dans un proche avenir.
La Théorie Néoclassique de la Croissance peut nous aider à étudier la
convergence rĂ©elle dans l'UE. Il semble y avoir deux explications qui sâopposent: pour
les théoriciens de la croissance exogÚne, la convergence existe et est due à des
productivités marginales décroissantes des facteurs; pour les théoriciens de la
croissance endogĂšne, il peut nây avoir aucune convergence. AprĂšs avoir prĂ©sentĂ©
briÚvement ces deux approches théoriques, nous évaluerons l'hypothÚse de convergence
pour les quinze Etats membres entre 1960 et 1990 en utilisant des données en cross
section et en séries temporelles et nous vérifierons s' il y a eu convergence due aux
rendements décroissants.
En plus de lâobtention de rĂ©sultats qui supportent lâhypothĂšse de la convergence,
nous essaierons également de définir quelques mesures de politique économique qui,
selon la théorie de la croissance, doivent stimuler la convergence des Etats membres,
présents et futurs.The European Union is still and will probably remain for sometime (with the
enlargement) a group of countries with important differences in income levels.
Although the southern european countries, which in the 50âs were classified by the
World Bank as developing countries, are now part of the developed world, the truth is
that they are still far from reaching the income levels of their northern counterparts. It
seems then that understanding some of the real convergence process that has occurred
in Europe is quite important and can be of use in the near future.
The Neoclassical Theory of Growth can help us study real convergence in the
EU. Here there seems to be two opposing explanations: for exogenous growth theorists
convergence exists and is due to diminishing marginal productivities to inputs; for
endogenous growth theorists there can be no convergence. After presenting briefly both
theories we test the convergence hypothesis for the 15 member states between 1960 and
1990 using both cross section and time series data and verify if there has been
convergence due to diminishing returns.
In the presence of results that support the convergence hypoyhesis we also try to
establish some economic policy measures that, according to the Theory of Growth, can
stimulate convergence between present and future member states.A UniĂŁo Europeia Ă© constituĂda por paĂses que apresentam diferenciais de nĂveis de rendimento per capita significativos. Esta situação vai permanecer ainda durante alguns anos e agravar-se-ĂĄ com o alargamento. Apesar dos paĂses do Sul terem registado taxas de crescimento notĂĄveis nas Ășltimas dĂ©cadas, podendo ser jĂĄ classificados como paĂses desenvolvidos, ao contrĂĄrio do que acontecia na dĂ©cada de 50, a verdade Ă© que o seu rendimento per capita fica ainda muito aquĂ©m do dos paĂses do Norte. Tentar perceber se hĂĄ ou nĂŁo convergĂȘncia real no seio da UniĂŁo Europeia e quais as suas causas Ă© assim de extrema importĂąncia no contexto actual.
AtravĂ©s da Teoria NeoclĂĄssica do Crescimento Ă© possĂvel analisar o processo de convergĂȘncia real na UE. Esta oferece-nos contudo dois tipos de anĂĄlises, aparentemente contradiĂłrias. A Teoria do Crescimento ExĂłgeno defende a existĂȘncia de convergĂȘncia real entre grupos de paĂses na presença de produtividades marginais decrescentes dos factores. A Teoria do Crescimento EndĂłgeno nega a existĂȘncia de convergĂȘncia.
Depois de uma breve apresentação de ambas as teorias testa-se a hipĂłtese de convergĂȘncia real para os quinze estados-membros da UE entre 1960 e 1990 com base quer em dados seccionais quer em dados cronolĂłgicos. Dado que os resultados apoiam a hipĂłtese de convergĂȘncia sĂŁo entĂŁo propostas algumas medidas de polĂtica econĂłmica que podem, de acordo com a Teoria do Crescimento, estimular a convergĂȘncia real entre os actuias e futuros estados-membros
Le rĂŽle de lâinvestissement dans lâĂ©ducation sur la croissance selon diffĂ©rentes spĂ©cifications du capital humain: une Ă©tude appliquĂ©e Ă lâĂ©chantillon de pays riverains de la MĂ©diterranĂ©e
Notre objectif principal est tester lâimportance de lâinvestissement en capital humain/Ă©ducation comme variable explicative du niveau de productivitĂ© dâĂ©quilibre dâĂ©tat stationnaire et du processus de convergence potentiel des pays de nos deux Ă©chantillons (8 pays riverains de la MĂ©diterranĂ©e: lâAlgĂ©rie, lâEgypte, la Chypre, lâIsraĂ«l, le Malte, la Syrie, la Tunisie, la Turquie; ces pays-lĂ plus les pays de lâUE ) tout en contrĂŽlant la qualitĂ© de la proxy du capital humain. En effet, la plus part des Ă©tudes de croissance qui incluent la variable capital humain utilisent comme proxy le nombre moyen des annĂ©es de scolaritĂ©, or cette proxy se heurte Ă un certain nombre de critiques. Elle ne tient pas en compte lâhypothĂšse de rendements dĂ©croissants dans le secteur Ă©ducatif ni la diffĂ©rente qualitĂ© des diffĂ©rents systĂšmes Ă©ducatifs. Ainsi nous utiliserons une des proxies mentionnĂ©e par Wössmann (2000), une spĂ©cification Ă la Mincer du capital humain avec des rendements dĂ©croissants. Notre cadre dâanalyse a comme point de dĂ©part un modĂšle de croissance exogĂšne, nĂ©oclassique, unisectoriel avec capital humain du type Mankiw, Romer et Weil (1992). Les Ă©quations de productivitĂ© et de convergence serons estimĂ©es selon plusieurs mĂ©thodes Ă©conomĂ©triques.Our main goal is to ascertain the importance of human capital accumulation through education for the long run steady state productivity levels and a potential convergence process in two samples (8 Mediterranean countries: Algeria, Egypt, Cyprus, Israel, Malta, Syria, Tunisia, Turkey; the former countries plus 17 European countries) controlling for the quality of the human capital proxy. Most of the economic growth studies consider as a proxy for human capital the average schooling years of the population. But this proxy presents several problems. One of these problems is the fact that it does not take into account the diminishing returns to education nor the quality of the different educational systems. In order to take this into account we are going to use a proxy mentioned by Wössmann (2000). We depart from a neoclassical growth model like that of Mankiw, Romer and Weil (1992). The different equations will be estimated using different estimation procedures
Identifying the research, advocacy, policy and implementation needs for the prevention and management of respiratory syncytial virus lower respiratory tract infection in low- and middle-income countries
Introduction: The high burden of respiratory syncytial virus (RSV) infection in young children disproportionately occurs in low- and middle-income countries (LMICs). The PROUD (Preventing RespiratOry syncytial virUs in unDerdeveloped countries) Taskforce of 24 RSV worldwide experts assessed key needs for RSV prevention in LMICs, including vaccine and newer preventive measures. Methods: A global, survey-based study was undertaken in 2021. An online questionnaire was developed following three meetings of the Taskforce panellists wherein factors related to RSV infection, its prevention and management were identified using iterative questioning. Each factor was scored, by non-panellists interested in RSV, on a scale of zero (very-low-relevance) to 100 (very-high-relevance) within two scenarios: (1) Current and (2) Future expectations for RSV management. Results: Ninety questionnaires were completed: 70 by respondents (71.4% physicians; 27.1% researchers/scientists) from 16 LMICs and 20 from nine high-income (HI) countries (90.0% physicians; 5.0% researchers/scientists), as a reference group. Within LMICs, RSV awareness was perceived to be low, and management was not prioritised. Of the 100 factors scored, those related to improved diagnosis particularly access to affordable point-of-care diagnostics, disease burden data generation, clinical and general education, prompt access to new interventions, and engagement with policymakers/payers were identified of paramount importance. There was a strong need for clinical education and local data generation in the lowest economies, whereas upper-middle income countries were more closely aligned with HI countries in terms of current RSV service provision. Conclusion: Seven key actions for improving RSV prevention and management in LMICs are proposed
Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
Abstract
Background
Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres.
Methods
This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and lowâmiddle-income countries.
Results
In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of âsingle-useâ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for lowâmiddle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia.
Conclusion
This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both highâ and lowâmiddleâincome countries
Levels of education, technology and growth : the OECD evidence from a country and industry-level perspective
Tese de doutoramento em Economia, especialização em Desenvolvimento e PolĂtica EconĂłmica apresentada Ă Fac. de Economia de CoimbraEsta dissertação Ă© uma investigação empĂrica dos mecanismos de transmissĂŁo dos investimentos em educação e suas categorias em termos de crescimento da produtividade para um conjunto de paĂses da OCDE, utilizando dados em painel. Para tal propomos uma especificação empĂrica que corresponde a uma versĂŁo corrigida e aumentada da especificação proposta por Benhabib e Spieged (1994) para o estudo do papel do capital humano no crescimento econĂłmico, onde se realçam as interligaçÔes da educação com outros determinantes das actividades de inovação e imitação propostos pela literatura, a Investigação e Desenvolvimento (IeD), o comĂ©rcio internacional e o Investimento Directo Estrangeiro (IDE). Conhecendo melhor os mecanismos de transmissĂŁo dos investimentos em educação em termos de crescimento da produtividade Ă© possĂvel derivar prediçÔes de polĂticas de educação mais rigorosas uma vez que as economias alcançarĂŁo maiores benefĂcios com a coordenação das diferentes reformas ao invĂ©s de se concentrarem em cada polĂtica isoladamente.
Os resultados da anĂĄlise de um conjunto de vinte e trĂȘs paĂses da OCDE, ao longo das quatro Ășltimas dĂ©cadas do sĂ©culo XX, confirmam o papel fundamental da educação em termos de assimilação da tecnologia desenvolvida no exterior e a complementaridade da educação ao nĂvel dos ensinos secundĂĄrio e superior com as despesas de IeD. Ao analisarmos a relação ao nĂvel mais desagregado de quinze indĂșstrias transformadoras de onze paĂses da OCDE entre 1981 e 2000, concluĂmos que a influĂȘncia dos diferentes nĂveis de escolaridade varia de acordo com a intensidade tecnolĂłgica das diferentes indĂșstrias. Por Ășltimo, examinam-se os potenciais benefĂcios da educação para o crescimento da produtividade de catorze indĂșstrias transformadoras portuguesas entre 1986 e 1997, nĂŁo tendo os resultados obtidos revelado qualquer influĂȘncia da educação via produção de conhecimento, resumindo-se o seu impacto a uma influĂȘncia positiva ao nĂvel do ensino secundĂĄrio via a assimilação da tecnologia incorporada nas importaçÔes
Discrimination des facteurs potentiels de croissance et type de convergence de lâĂ©conomie portugaise dans lâUE Ă travers la spĂ©cification de la fonction de production macro-Ă©conomique. Une Ă©tude appliquĂ©e de donnĂ©es de panel et de sĂ©ries temporelles
Cette communication sâinscrit au sein dâune recherche plus Ă©largie que nous sommes en train de dĂ©velopper sur les facteurs de la croissance, en spĂ©cial le capital humain, Duarte&SimĂ”es 2000, 2001(a), 2001(b) et 2001(c).
Dans cette communication, notre objectif principal est la caractĂ©risation des facteurs potentiels de croissance et du type de convergence potentielle de lâĂ©conomie portugaise au sein de lâUE. Nous allons tester la spĂ©cification de la fonction de production (FP) selon la mĂ©thodologie de Duffy&Papageorgiou (2000). Nous voulons savoir quelle est la spĂ©cification la plus correcte de la FP, CES ou Cobb-Douglas, pour notre Ă©chantillon. LâĂ©tude de cette question est trĂšs importante car il y a une variĂ©tĂ© plus riche de types de croissance associĂ©s Ă la technologie CES. Ainsi, si lâĂ©lasticitĂ© de substitution est supĂ©rieure Ă lâunitĂ© (s>1) il y a croissance endogĂšne potentielle, Jones&Manuelli (1990), Rebelo (1991). Dans le cas opposĂ© (s <1), il y a la possibilitĂ© dâĂ©quilibres multiples, Azariadis (1993, 1996, 2001). Cette mĂ©thodologie prĂ©sente donc lâavantage de permettre que les facteurs de croissance et le type de convergence soient discriminĂ©s de façon potentielle.
Nous avons considĂ©rĂ© un Ă©chantillon avec 17 pays europĂ©ens (lâAutriche, la Belgique, le Danemark, la Finlande, la France, la RĂ©publique FĂ©dĂ©rale dâAllemagne, la GrĂšce, lâIrlande, lâItalie, les Pays-Bas, la NorvĂšge, le Portugal, lâEspagne, la SuĂšde, la Suisse, le Royaume-Uni et lâIslande). Dans toutes les analyses empiriques rĂ©alisĂ©es, nous avons ordonnĂ© les 17 pays par ordre croissant de revenu moyen par travailleur de la pĂ©riode.
Lâanalyse empirique se fonde sur des donnĂ©es en panel et des sĂ©ries temporelles pour la pĂ©riode de 1960-1987 et la base de donnĂ©es est la base STARS de la Banque Mondiale.
Lâanalyse de la stationnaritĂ© des sĂ©ries temporelles utilisĂ©es dans la CES, version non linĂ©aire et linĂ©aire a Ă©tĂ© faite utilisant des mĂ©thodes dâanalyse des sĂ©ries temporelles et des sĂ©ries temporelles en panel.
La FP CES dans les versions non-linĂ©aire et linĂ©aire de Kmenta est estimĂ©e pour a) lâĂ©chantillon des 17 pays, b) pour lâĂ©chantillon de 4 pays (le Portugal, la GrĂšce, lâIslande et lâIrlande) et pour chaque pays individuellement et selon les deux cas: avec force de travail et avec force de travail ajustĂ©e par le nombre moyen dâannĂ©es de scolaritĂ© de la force de travail, la proxy du capital humain. Lâestimation de la FP par groupes de pays permet la caractĂ©risation de la FP du groupe par rapport Ă celle de lâĂ©conomie moyenne. Et permet aussi lâanalyse de la valeur de s en fonction du niveau de dĂ©veloppement des pays.
Au-delĂ de lâĂ©tude des caractĂ©ristiques de stationnaritĂ© (racine unitaire) des sĂ©ries temporelles et des donnĂ©es de panel, nous utiliserons des mĂ©thodes dâestimation non-linĂ©aires par maximum vraisemblance et aussi GMM. Nous avons aussi utilisĂ© des mĂ©thodes linĂ©aires, moindres carrĂ©s gĂ©nĂ©ralisĂ©s avec des effets individuels et cointĂ©gration. Pour les estimations, on a utilisĂ© RATS 5.00, PCGive 10 et NPT 1.3 (Kao&Chiang).
Les rĂ©sultats obtenus montrent quâon ne peut pas rejeter la CES pour les pays de notre Ă©chantillon, cela signifie que la croissance endogĂšne est possible car s>1, cependant les caractĂ©ristiques des sĂ©ries ne permettent pas lâexclusion du problĂšme de rĂ©gressions fallacieuses
Le rĂŽle de lâinvestissement dans lâĂ©ducation sur la croissance selon diffĂ©rentes spĂ©cifications du capital humain: une Ă©tude appliquĂ©e Ă lâĂ©chantillon de pays riverains de la MĂ©diterranĂ©e
Notre objectif principal est tester lâimportance de lâinvestissement en capital humain/Ă©ducation comme variable explicative du niveau de productivitĂ© dâĂ©quilibre dâĂ©tat stationnaire et du processus de convergence potentiel des pays de nos deux Ă©chantillons (8 pays riverains de la MĂ©diterranĂ©e: lâAlgĂ©rie, lâEgypte, la Chypre, lâIsraĂ«l, le Malte, la Syrie, la Tunisie, la Turquie; ces pays-lĂ plus les pays de lâUE ) tout en contrĂŽlant la qualitĂ© de la proxy du capital humain. En effet, la plus part des Ă©tudes de croissance qui incluent la variable capital humain utilisent comme proxy le nombre moyen des annĂ©es de scolaritĂ©, or cette proxy se heurte Ă un certain nombre de critiques. Elle ne tient pas en compte lâhypothĂšse de rendements dĂ©croissants dans le secteur Ă©ducatif ni la diffĂ©rente qualitĂ© des diffĂ©rents systĂšmes Ă©ducatifs. Ainsi nous utiliserons une des proxies mentionnĂ©e par Wössmann (2000), une spĂ©cification Ă la Mincer du capital humain avec des rendements dĂ©croissants. Notre cadre dâanalyse a comme point de dĂ©part un modĂšle de croissance exogĂšne, nĂ©oclassique, unisectoriel avec capital humain du type Mankiw, Romer et Weil (1992). Les Ă©quations de productivitĂ© et de convergence serons estimĂ©es selon plusieurs mĂ©thodes Ă©conomĂ©triques.Our main goal is to ascertain the importance of human capital accumulation through education for the long run steady state productivity levels and a potential convergence process in two samples (8 Mediterranean countries: Algeria, Egypt, Cyprus, Israel, Malta, Syria, Tunisia, Turkey; the former countries plus 17 European countries) controlling for the quality of the human capital proxy. Most of the economic growth studies consider as a proxy for human capital the average schooling years of the population. But this proxy presents several problems. One of these problems is the fact that it does not take into account the diminishing returns to education nor the quality of the different educational systems. In order to take this into account we are going to use a proxy mentioned by Wössmann (2000). We depart from a neoclassical growth model like that of Mankiw, Romer and Weil (1992). The different equations will be estimated using different estimation procedures
Human Capital Investment Through Education and Economic Growth: a panel data analysis based on a group of Latin American countries
Our main goal is to ascertain whether investment in human capital through education (without differentiation, by gender, with gender gaps) can explain the steady state growth productivity levels and a potential convergence process in a sample of Latin American developing countries (Costa Rica, Dominican Republic, El Salvador, Guatemala, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Trinidad&Tobago, Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Guyana, Paraguay, Peru, Uruguay and Venezuela). These countries will also be integrated in a larger sample with developed countries from Europe (Austria, Belgium, Denmark, Finland, France, the former Federal Republic of Germany, Greece, Ireland, Italy, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom).
We consider a neoclassical growth model with human capital as did Mankiw, Romer and Weil (1992) and later Knowles, Lorgelly and Owen (1998) who include both female and male education and gender gaps in education levels as explanatory variables. The consideration of human capital by gender and the quantification of its influence appear of major importance in the developing countries if the education of women in these countries produces positive social benefits. In these circumstances the educational policies by gender should be supported because, ceteris paribus, an increase in the levels of female schooling will produce positive total effects in the form of higher productivity levels.
The empirical analysis is based on panel data and the following estimation procedures are used: ordinary least squares (OLS), non linear least squares (NLLS), ordinary least squares with dummy variables (LSDV), ordinary least squares with first differences (OLSD) and non linear least squares with dummy variables (NLLSDV). We first present the results for the productivity equations and then for the convergence equations, considering our two samples and the different estimation procedures. The use of different samples and estimation techniques is intended to make our analysis more robust.O nosso objectivo principal consiste em verificar se a acumulação de capital humano atravĂ©s da educação (sem diferenciação, de acordo com o gĂ©nero e com gender gaps) influencia o nĂvel de produtividade e um eventual processo de convergĂȘncia de um conjunto de paĂses em desenvolvimento da AmĂ©rica Latina (Costa Rica, RepĂșblica Dominicana, El Salvador, Guatemala, Haiti, Honduras, Jamaica, MĂ©xico, NicarĂĄgua, PanamĂĄ, Trinidade&Tobago, Argentina, BolĂvia, Brasil, Chile, ColĂŽmbia, Equador, Guiana, Paraguai, Peru, Uruguai e Venezuela). Consideraremos esta questĂŁo tambĂ©m no Ăąmbito de um grupo mais alargado de paĂses que inclui os anteriores e ainda um grupo de paĂses desenvolvidos da Europa (Ăustria, BĂ©lgica, Dinamarca, FinlĂąndia, França, RFA, GrĂ©cia, Irlanda, ItĂĄlia, PaĂses Baixos, Noruega, Portugal, Espanha, SuĂ©cia, SuĂça e Reino Unido).
Partimos de um modelo de crescimento neoclĂĄssico tal como Mankiw, Romer e Weil (1992) e Knowles, Lorgelly e Owen (1998). Estes Ășltimos consideram a influĂȘncia quer da educação masculina quer da educação feminina e da diferença entre ambos como variĂĄveis explicativas. Esta distinção parece-nos de grande importĂąncia para os paĂses desenvolvidos no caso de existĂȘncia de benefĂcios sociais positivos associados Ă educação das mulheres. Nestas circunstĂąncias sĂŁo aconselhĂĄveis polĂticas de educação de acordo com o sexo uma vez que, ceteris paribus, um aumento do nĂvel de escolaridade feminina acarretarĂĄ feitos totais positivos na forma de nĂveis de produtividade mais elevados.
A anĂĄlise empĂrica baseia-se em dados de painel tendo-se utilizado os seguintes mĂ©todos de estimação: mĂnimos quadrados ordinĂĄrios, mĂnimos quadrados nĂŁo lineares, mĂnimos quadrados com variĂĄveis mudas, mĂnimos quadrados aplicados Ă diferenças e mĂnimos quadrados nĂŁo lineares com variĂĄveis mudas. Co meçamos por apresentar os resultados relativos Ă s equaçÔes de produtividade e em seguida apresentamos os resultados relativos Ă s equaçÔes de convergĂȘncia. A utilização de diferentes amostras e mĂ©todos de estimação destina-se a tornar a nossa anĂĄlise mais robusta
A Especificação da Função de Produção Macro-EconĂłmica em Estudos de Crescimento EconĂłmico: uma anĂĄlise com dados em painel aplicada a um grupo de paĂses europeus
Esta comunicação insere-se numa investigação mais vasta que temos vindo a desenvolver sobre as causas do crescimento econĂłmico no seio da Europa. Para este efeito estimĂĄmos equaçÔes de convergĂȘncia num quadro de crescimento neoclĂĄssico com capital humano. Em todos estes estudos a especificação considerada como representativa da tecnologia das economias da nossa amostra foi a função de produção agregada do tipo Cobb-Douglas. Contudo, a questĂŁo prĂ©via que se poderia colocar a estes nossos trabalhos Ă© a de saber se uma função de produção agregada do tipo CES nĂŁo representaria de forma mais correcta a tecnologia dos paĂses considerados. Em caso afirmativo, haverĂĄ possibilidade de crescimento endĂłgeno no caso da elasticidade de substituição ser superior Ă unidade. Os nosso resultados com base numa amostra de dezassete paĂses europeus entre 1960 e 1987 apontam para a nĂŁo rejeição da função CES como mais correcta em termos de representação da tecnologia da nossa amostra, o que implica crescimento endĂłgeno na Europa. Por outro lado, considerando individualmente cada paĂs Ă© possĂvel identificar Ă partida factores promotores da convergĂȘncia (ou divergĂȘncia). Neste caso, os resultados apontam para algumas desvantagens dos jĂĄ inicialmente mais desfavorecidos, Portugal, GrĂ©cia, Espanha e Irlanda.This study is part of a larger research project that tries to identify the sources of economic growth among European countries. With this goal in mind we tested convergence equations derived from a neoclassical growth model with human capital. These kind of empirical studies consider that a countryâs technology is best represented by a Cobb-Douglas aggregate production function. However we should ask ourselves if this is indeed the right hypothesis. Wouldnât a CES production function describe better the technology of our countries since the Cobb-Douglas technology is a special case of the former? This is what we try to find out in this study. An affirmative answer to this question bears important implications for economic growth since a CES production function allows for endogenous growth in a neoclassical framework if the elasticity is greater than one. We tested this hypothesis using panel data for seventeen European countries between 1960 and 1987 and we were not able to reject the CES function as the one that best represents our sample technology. This means endogenous growth for the European countries. As for convergence, a more detailed analysis of the estimated parameters seems to show that the initially poorer countries like Portugal, Greece and Spain, will not reach the income levels of the richer countries
Distinguishing between potential sources of growth convergence for the Portuguese economy within the EU. A panel data - time series study of the aggregate production function
What are the potential sources of growth and how is the convergence process of the Portuguese economy within the EU characterised? We answer this question by determining the most suitable specification of the aggregate production function, CES or Cobb-Douglas, for the EU countries as in Duffy&Papageorgiou (2000). If the aggregate production technology is best described by a CES production function then the potential sources of growth are wider than the ones associated with a Cobb-Douglas technology. For instance, with an elasticity of substitution between inputs greater than one (Ăł>1) it is possible to have endogenous growth (see Jones&Manuelli (1990), Rebelo (1991)) while for Ăł1, it is possible to have endogenous growth although the characterisation of our series does not allow us to ignore the spurious regression problem