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ThFederation of ASEAN Economics Association Conference, Manila. Inclusive Growth Dynamics and Determinants in Emerging Markets *. Shanaka Jay Peiris IMF Resident Representative to the Philippines.
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ThFederation of ASEAN Economics Association Conference, Manila Inclusive Growth Dynamics and Determinants in Emerging Markets* Shanaka Jay Peiris IMF Resident Representativeto the Philippines * Based on IMF’s Regional Economic Outlook for Asia and Pacific (October 2011), IMF country report 2012 and forthcoming IMF Working Paperby Anand, Mishra and Peiris.The views expressed are those of the authors and do not necessarily reflect those of the IMF.
Stylized Facts EMs and Asia’s Experience over the Last Two Decades
In the last two decades, Asia has grown rapidly, enabling significant reductions in poverty…
However, inequality has increased sharply, contrary to Asia’s history of equitable growth
Inequality has risen more sharply in Asia than elsewhere and is now approaching global highs
How Pro-Poor is Asia’s Growth?
Empirical Strategy: Data • Growth is pro-poor if it reduces poverty (Ravallion and Chen, 2003) • Data Sources: World Bank Povcal database, household surveys for NIEs, and Penn World tables. • Sample: Unbalanced panel of 105 developing and emerging economies, covering 1971-2010.
Empirical Strategy: Model • Estimate following regression: P is poverty headcount below the $2 line in country iat time t, y is real per capita income in country iat time t GINI is the Gini coefficient in country iat time t, and γ and ρ are country and decade dummies • Equation in logs, so β and δ are elasticity of poverty reduction with respect to growth and inequality, respectively.
Growth is generally pro-poor, but relatively less so in most of Asia and Latin America… • Growth is generally pro-poor. • On average for our sample, 1 percent increase in real per capita income leads to 2 percent decline in poverty headcount. • However, 1 percent increase in Gini offsets it. • Relationship varies across regions and economies. MENA, EE, Central Asia and SSA
How Inclusive is Asia’s Growth?
Inclusive growth is both pace and distribution • Curve AB is a macro social mobility curve. This is, in fact, a generalized concentration curve when the individuals are arranged in ascending order of their incomes. • Growth will be inclusive if it shifts the social mobility curve upward at all points. • The two social mobility curves with the same average income (Ybar) but different degrees of inclusiveness. Social mobility curve (A1B) is more inclusive than the social mobility curve AB, as the average income of the bottom segment of the society is higher.
Measure of inclusiveness Calculate an index from the area under the curve as in Ali and Son 2007: The greater the Ystarthe greater will be the income available to the population. If everyone in the population has exactly the same income, then will be equal to Ybar. Thus, we propose a macro income equity index (IEI) as in Ali and Son 2007: Higher the value of omega (closer to one), the higher is the income equity. To achieve inclusive growth, we need to increase Ystar, which can be accomplished by increasing the average level of income or increasing the equity index or both.
What Explains Inclusive Growth?
1. Tax and transfer policies are less equitable in Asia, with lower (and more regressive) tax takes and lower (and less targeted) social spending…
2. Education and health spending are positively correlated with inclusiveness
3. Inclusiveness is positively associated with degree of employment protection and minimum wage levels
5. Narrow access to financial services hurts the poor disproportionately
Conclusions • Macroeconomic stability, human capital and competitiveness are found to be key determinants of inclusive growth in emerging markets. • The standard growth drivers such as education, initial income and institutions are also important while technological change and trade globalization has a less discernible impact. • In terms of financial globalization, foreign direct investment (FDI) fosters inclusive growth but financial depth has a negative impact, as in IMF (2007), highlighting need for financial inclusion. A striking feature is that the distribution of income (both inequality and poverty) does not appear to matter when controlling for economic fundamentals, while inflation and GDP volatility are unambiguously detrimental for inclusive growth. • Competitiveness, measured by deviations REER deviations from PPP, and infrastructure are also important for inclusive growth