A model of long-run growth where innovation and adoption are jointly determined in a global world. I use the theory to revisit the effect of market integration on growth.
[JMP version]
I develop a tractable semi-endogenous multi-country growth model with a technology adoption margin.
Innovation and adoption are skill-intensive activities, and a tradeoff arises whether skilled labor is used to push out the technological frontier or to adopt existing technology.
I use the theory to revisit the effect of market integration on growth, especially among asymmetric countries with large differences in innovative capacity. Transitional dynamics and long-run effects implied by the model differ substantially from benchmark endogenous growth models and jointly explain stellar per capita growth in emerging markets and the disappointing growth performance of advanced economies after
rising global market integration since the 1990s.
Some data, and a simple model of human capital risk and structural
change, to understand capital flows out of fast-growing emerging
markets.
High saving rates in fast growing “miracle” economies and the
associated capital outflows have long been a puzzle in the
international economics literature. I provide evidence that the
demand for safe assets is systematically higher for
urban (non-agricultural) relative to rural (agricultural) households
suggesting a strong precautionary savings motive in urban areas. I
combine this with the insight that miracle economies display fast
structural change out of traditional farming. The interplay of
structural change and rising demand of safe assets of urban
households can account for the puzzling capital outflows during the
growth miracle. I then develop a tractable model of miracle growth
and human capital risk that rationalizes these findings. The key
ingredients of the model are structural transformation away from
traditional agricultural production, a heterogeneous income growth
experience of households in the urban sector which gives rise to an
unequal income distribution, and initial uncertainty about a
household’s position on this distribution. The model characterizes
in closed form the trade-off between consumption smoothing and
precautionary savings,and offers a simple sufficient statistic to
sign the direction of capital flows along the transition path.
A quantitative model of ``miracle'' growth to understand how risk,
inequality, and financial frictions shape aggregate savings and
investment.
I develop a theory of ``miracle'' convergence growth that
rationalizes three salient facts.
First, growth miracles are often associated with net capital
outflows, driven by demand for safe assets. Second, net FDI inflows
occur along the transition path. Third, inequality is rising dramatically.
I develop an incomplete market model with growth rate heterogeneity so that convergence
growth itself is unevenly distributed. In combination with financial
frictions, the model generates strong household savings pressure, and net capital outflows alongside FDI inflows.
The theory highlights that the distribution
of growth in emerging markets matters for global capital
flows.
Measurement of human capital risk in developing economies + incomplete
market model that quantifies its impact on urbanization and growth.
I measure urban-rural
differences in human capital risk to understand differences in
wealth accumulation and savings behavior across urban and rural
households in poor and middle-income countries. I explore how risk
interacts with human capital accumulation and structural change from
rural to urban economic activity. In a final step I assess whether
public safety nets can be effective tools to accelerate the process of
urbanization through the lens of a two-sector incomplete market model of long-run structural change.
Use detailed micro data on shipping companies to study investment
dynamics and technological change in China.