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Convergence Scenarios:an Overview
Jonathan Temple(University of Bristol)
“Classical” Convergence
Approach represented by papers such as Barro and Sala-i-Martin (1992) and Mankiw, Romer and Weil (1992)Based on closed economy growth models in Solow/Swan traditionOr Ramsey/Cass/KoopmansAdds assumptions about world growth
Some Basics…
Predicts countries converge in growth ratesBut income levels differ in steady-stateThis is because steady-state determinants vary across countriesMost familiar: investment, population growthThese determinants treated as exogenous
A Key Strength…
A key strength of the approach is to recognise that, in principle……there is no reason why most countries cannot become richSo future may not look like the pastViewpoint differs from non-economists
Empirical Findings
Wide variety of convergence estimatesRecent work suggests rates are slowSo countries spend a lot of time away from steady-stateSome evidence suggests “clubs”But a lot of uncertainty (small N)…and asking wrong question?
This is the Wrong Approach…!
Bad approach for emissions scenariosEstimated convergence rate is (implicitly) an averageTaken across different countries/regionsRegressions weight countries equally Effectively small countries (sub-Saharan Africa) carry much more weight
The Wrong Approach, Part II
Approach treats countries as closedThese economies evolve independentlyFor empirical purposes, treats steady-state determinants as exogenousRules out feedback from growth How to relax these assumptions?
Possible Feedback Mechanisms
Endogenous world growthGeography and market accessDemographyEndogenous institutionsFinancial developmentEquipment pricesEnergy pricesFeedback from climate
Endogenous World Growth
Clear externalities in knowledgePowerful effects of scale in endogenous growth modelsWorld population of researchers expanding rapidly (India, China…?)Will only be offset if research process is becoming more difficult
Geography and Market Access
Recent work in trade emphasizes role of spatial location and market accessSuggests multiple equilibria at level of world regionsFast growth in specific regions will change patterns of market accessHence feedback from regional growth
Demography
Crucial for emissions scenarios to build in endogenous demographyOffsetting effects: rising longevity versus fertility transitionQuantity/quality trade-off models predict human capital accumulation riseImportance of policies in China, India
Endogenous Institutions
Work such as AJR (AER 2001) suggests institutions crucial to steady-state GDPStrong correlations between institution indices and levels of GDPEndogenous democratization……might reduce forecast dispersion?Less risk of civil war as income rises?
Growth and Finance
Much work links growth to financial developmentDevelopment of banks endogenous to income levelThen stock markets…Financial globalization relevant to convergence (e.g. FDI flows)
Equipment Price Effects
Why does real investment differ?Work such as Hsieh/Klenow suggests relative price of equipment crucialEvidence suggests this price much higher in poor countriesCan be expected to fall as part of convergence process?
Energy Price Effects
Price of energy unlikely to be independent of global convergenceMay feedback into world growthThis effect will also tend to reduce dispersion of emissions scenarios, relative to dispersion of GDP scenarios
Global Warming Feedbacks
Central point: endogenous climateSo different convergence scenarios may have feedbacks via climateFor example, agriculture, water stressChanges in infrastructure, global distribution of population, etc.
How to Model All These Effects?
Full structural model very complex…So best approach may be reduced-formAggregate major regionsConsider different convergence behaviour in each…But build in virtuous circle effects as a reduced-form