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Download China’s Macroeconomic Outlook: Quarterly Forecast and by CMR of Xiamen University PDF

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By CMR of Xiamen University

The learn workforce makes the subsequent forecasts: First, in 2013 China’s development will stay solid and succeed in 8.23 percentage, a rise of 0.43 percent issues in comparison with the former 12 months; even if there's inflation strain as a result of worldwide financial easing, serious inflation in China is not likely to ensue, and the patron rate index (CPI) will stay at 3.11 percentage. moment, the expansion of imports and exports will rebound, however the exchange surplus will reduce extra. ultimately, the percentage of funding in GDP will remain excessive within the brief time period as urbanization promotes the expansion of mounted resources funding, even though larger in keeping with capita earning will bring about excessive and regular consumption.

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Extra info for China’s Macroeconomic Outlook: Quarterly Forecast and Analysis Report, February 2013

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A substantial increase in fiscal assistance as well as varieties of tax incentives, ensures affordable housing construction, and releases the housing pressure for the low-income families. Sixth, the government promotes the development of cultural affairs. We construct more free cultural facilities such as museums and public libraries, support the key cultural projects, improve the services of public cultural department, and help upgrade the cultural industries. In the future, the public finance would try to make more progress to improve the financial regulation system, and strive for the sustainable economic development.

39 percentage points in the fourth quarter of 2012 (Fig. 8). 03 percentage 2 As the Chinese National Bureau of Statistics announced only the income of three groups such as the lower-middle income, middle income and upper-middle income residents, these data was estimated by the CMR-CMU. 26 3 Policy Simulation Fig. 7 The GDP growth rates in the first and the second scenario (Note: GDP_C_SA_1 denotes the growth rate of GDP in the first scenario; GDP_C_SA_2 denotes the growth rate of GDP under the scenario 2nd, and GDP_C_SA_diff denotes the difference between the above two cases (annualized and year-on-year, after seasonal adjustment)) Fig.

Fourth, look at income distribution. A rise of Gini coefficient has slowed down recently. Specially, the resident income gap between urban and rural areas has become narrow mainly owing to the price hikes of agricultural productions and the fast improvement of wages for migrant workers from the rural areas. However, the income gap within the urban residents became more evident, which was mainly due to the income inequality related to monopolistic industries. What changes would happen about the income distribution in China?

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