2017
DOI: 10.1016/j.jpolmod.2017.07.001
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Economic growth and convergence: Do institutional proximity and spillovers matter?

Abstract: This paper extends the existing studies on institutions-growth nexus in two ways: firstly, it estimates a growth model that is spatially augmented to capture the countries' dependence, and secondly it measures the countries' dependence using a newly proposed concept called institutional proximity, in addition to the commonly used geography. Spatial Durbin model, that includes not only spatially lagged dependent variable but also spatially lagged explanatory variables, is shown to be the most appropriate to des… Show more

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Cited by 53 publications
(38 citation statements)
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“…His findings indicate that democracy becomes stronger with increases in GDP per capita, educational attainment, as well as decreases in the gender gap in primary schooling attainment. 7 On the other hand, a greater urbanization and a greater reliance on natural resources have negative effects on democracy.…”
Section: A Brief Review Of Literaturementioning
confidence: 99%
“…His findings indicate that democracy becomes stronger with increases in GDP per capita, educational attainment, as well as decreases in the gender gap in primary schooling attainment. 7 On the other hand, a greater urbanization and a greater reliance on natural resources have negative effects on democracy.…”
Section: A Brief Review Of Literaturementioning
confidence: 99%
“…Geographical matrix naturally assumes that the countries located closely would have a greater weight, or more spatial dependence between them, compared to countries located at a greater distance. The advantage of the geographical matrix is that it is unambiguously exogenous to the model, and therefore eliminates the problem of identification and causal reversion (Ahmad and Hall 2017). In the matrix N × N (N number of the countries), if countries were situated in near proximity to each other, then number one was used and for all other cases zero was used.…”
Section: Empirical Model Estimation Strategy and Data Setmentioning
confidence: 99%
“…They do not affect each other in neoclassical exogenous growth models. However, the assumption that economies are independent from each other no longer holds as technological transfers, knowledge diffusions, labour migrations, institutional spillovers, contagious economic crises testify to the fact that economies are indeed 'interacting' with each other, or in spatial terms, they are actually spatially dependent (Ahmad and Hall 2017). In this case, the assumption of the neoclassical model of Solow and Swan (1956) is not established.…”
Section: Introductionmentioning
confidence: 99%
“…In 1986, Baumol and Abramovitz applied this theory to empirical research [20,21], regional convergence has gradually become an important topic. Currently, the studies of convergence and divergence mainly focus on economic growth, income, consumption expenditure, energy intensity, housing prices, and unemployment [22][23][24][25][26][27][28][29][30][31][32], and the types of convergence are various, including σ convergence (reflecting a decreasing trend of the urbanization level gap between regions or countries over time), β convergence (convergence only after controlling the factors affecting steady state), club convergence (convergence within subsamples), and stochastic convergence (examining whether the initial deviations from some hypothetical long-term equilibrium of an investigated indicator decrease over time). Correspondingly, the methods of measuring convergence are also different, such as CV sigma-convergence and beta-convergence, club convergence approach, Markov chain and spatial Markov chain methods, and econometric approach.…”
Section: Literature Reviewmentioning
confidence: 99%