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In recent years, public infrastructure investments (PII) in
China have grown rapidly, especially after the global financial crisis, and its
scale is more than 10% of the total annual government expenditure. Most of the
existing studies on the subject focus on its impacts on economic growth, and
only a handful of academic studies consider their distributive effects. An
integrated macro-micro simulation method is applied to qualitatively assess
both the growth and distributive effects of PII in China. An inter-temporal
dynamic general equilibrium model with heterogeneous agents and public capital,
developed by Dissou and Didic (2011), is employed to trace the impact channels
of the increased public infrastructure in China. One important feature is that
PII has been introduced as a public capital stock variable in the production
function. Another distinguishing characteristic of the model is that both
households and firms are divided into constrained and non-constrained
households/firms according to their liquidity constraints. The macro effects,
such as the changes in wage and non-wage revenues, commodity prices and saving
rate are transferred to a micro-simulation model to analyse the poverty and
inequality effects using household survey data.
The study simulates a 20%increase in the ratio of PII to GDP
using two different financing mechanisms (foreign borrowing and production
tax). The increase in PII drives economic growth. The real GDP would be
accelerated by approximately 4 percentage points through the productivity
improvement in the long-run. Though different sectors respond differently due
to different sector characteristics, the construction and the nonmetallic
mineral products sector gain significantly from the increased PII, while the
labour intensive textiles sector loses its competitiveness. There are also
positive effects of the increased PII on poverty in both the short- and
long-run. The national poverty headcount ratio is decreased by more than 2
percentage points using the international poverty line ($1.25 per day) in the
long-run. And more rural poor people get out of poverty than that of urban and
migrant households. The rising wage rate contributes the most to poverty
reduction. Equality is improved when the PII is increased not only within rural
and urban households, but also between the rural-urban households.
Public
infrastructure development should be considered as a key strategy for inclusive
growth. In particular, China could consider investing more in rural
infrastructure to reduce inequality by promoting equal access to basic public
services.
[1] The authors would like to acknowledge the support of the
following the Partnership for Economic Policy (PEP) Network; Australian
Agency for International Development (AusAID) and the Canadian International
Development Agency (CIDA; Jean-Yves Duclos, John Cockburn, Yazid Dissou, Luca
Tiberti and Selma Didic.
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