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CONTENTS
Capitalization Expansion and Technological
Progress of Catchup
Economy
………Research
Group on China's Economic Growth and Macroeconomic Stability
(4)
An Accurate Understanding of China’s Economic
Statistics ……………Xu
Xianchun (21)
The Dynamic Impact of RMB Exchange Rate
Movements on China’s Trade Balance
…………………………………Liu
Yaocheng, Zhou Jizhong and Xu Xiaoping
(32)
Evaluation on Elastic Space of RMB Exchange
Rate Volatility
…………………………………………………Huang
Zhigang and Chen Xiaojie
(41)
Innovation Activities in Chinese
Manufacturing Firms:The Roles of Firm Ownership
and CEO Incentives…………………………………
Li Chuntao and Song Min
(55)
Is There Skill Biased Technological Change?
Evidence from China
…………………………………Song
Donglin, Wang Linhui and Dong Zhiqing
(68)
Empirical Study on Heterogeneous Dynamic Path
of Local Expenditure under
Inter-temporal Budget Constraints…………
Zhang Zhengyu and Zhu Pingfang
(82)
Environmental Efficiency and Environmental
Total Factor Productivity Growth
in China’s Regional Economies………Wang
Bing,Wu
Yanrui and Yan Pengfei
(95)
Convergence of Endogenous Cross-Country
Income Differences……
Li Shang-ao
(110)
Poverty Dynamics in Rural China……………………………………Luo
Chuliang
(123)
A Query to the Paper “CPI vs. PPI: Which
Drives Which”
…………
Xu Weikang
(139)
CPI vs. PPI: Which Drives Which? A Reply………He
Liping, Fan Gang and Hu Jiani
(149)
A Summary for the Forum of Marxist Economics
and Its Renewal
………………………
Lin Yong, Zhao Xuezeng, Liu Zhiming and Jia
Lihong
(155)
A Book Review…………………………………………………………Hu
Jiayong
(159)
Capitalization Expansion and Technological
Progress of Catch-up
Economy
Research Group on China's Economic Growth and Macroeconomic
Stability
(CASS)
Abstract: From
the perspective of economic resources capitalization, this paper
investigates capital accumulation, technological choice and
their relationship with economic growth in China. Based on the
comprehensive across-province
TFP analysis from 1978 to 2008, we propose a new rationale about
China's economic growth and technological progress. As a
developing country in a transition from a planned economy to a
market economy, China has been experiencing a rapid
capitalization of the stock of economic resources in various
stages of economy growth, while the role of market actors
enhances and assets pricing principles develop. During 1980—90s
such a type of capitalization was labeled as capital formation
in the real economy. Since 2000 it has been undergoing with the
Chinese currency appreciation, integration of the Chinese
domestic capital market into international capital market, and
re-pricing
of production factors. Although with a positive and incentive
effect on economy catch-up
and efficiency improvement, the economic resources
capitalization might have constraints on endogenous
technological innovation. As a result, the growth rate of TFP
fluctuated at a low level so that technological progress
contributed little to China’s economic growth. The
capitalization has been deviated and economic resources rushed
into capital sectors excessively. This resulted in a rapid
rising asset prices, industrial overcapacity and limited
innovation in the real economy. In order to maintain sustainable
growth of China’s economy, adjustments towards current policy
and institution has to be carried out to motivate endogenous
technological innovation and change the mode of economic
development.
Key Words:
Capitalization; Investment; Technological Progress; Economic
Growth
JEL Classification:
O110,O140,O380
An Accurate Understanding of China’s
Economic Statistics
Xu Xianchun
(National Bureau of Statistics of China)
Abstract:In
response to some scholars’ doubts on estimates of China’s
expenditure-based
GDP, this paper first elaborates the differences between some
common economic statistical indicators and their corresponding
components of expenditure-based
GDP from the aspects of connotation and data performance in
2009, including the differences between total retail sales of
consumer goods and household consumption, fiscal expenditures
and government consumption, total fixed
asset investment and gross fixed
capital formation, inventories and change in inventory, and
balances on foreign trade by Customs statistics and the net
exports of goods and services. Second, in response to some
scholars’ criticism on methodology of China’s economic
statistics, it further elaborates the conceptual consistency and
the match of data performance between productionbased
GDP growth rates and expenditure-based
GDP growth rates, how infrastructure investments contributing to
GDP growth, the basic statistical principle for total retail
sales of consumer goods, and so on..
Key Words:Production-based
GDP; Expenditure-based
GDP; Economic Statistics; Economic Growth Rates
JEL Classification:C82,C83,E01
The Dynamic Impact of RMB Exchange Rate
Movements on China’s Trade Balance
Liu Yaocheng, Zhou Jizhong and Xu Xiaoping
(School of Finance, Shanghai University of Finance and
Economics)
Abstract:In
view of the shortcomings of existing studies on the impact of
RMB exchange rate movements on China’s trade balance, this paper
follows the method of Blanchard and Quah(1989) under which the
long-run
effect of structural shocks were controlled and analyzes the
dynamic effect on China’s trade of balance of changes of RMB
real effective exchange rate. Two main conclusions thus emerge.
Firstly, the elasticity approach to trade balance is in general
applicable to China, with a clear but modified J-curve
effect. Secondly, during the sample period visited, China’s
trade balance tends to worsen with appreciation of RMB, and the
impact of RMB movements on China’s trade balance tends to be
strengthened as time goes on..
Key Words:RMB
Exchange Rate; Trade Balance; Elasticity Approach; Shocks
Decomposition
JEL Classification:F310,C320
Evaluation on Elastic Space of RMB
Exchange Rate Volatility
Huang Zhigang and Chen Xiaojie
(Management School of Fuzhou University)
Abstract:
Theoretically, under the restricted condition of keeping the
independency of policies, when given certain capital flow, the
corresponding elasticity of exchange rate volatility which makes
the intermediate exchange rate regime sustainable can be found.
Once the elastic space of exchange rate volatility is decided
scientifically, the intermediate exchange rate regime can have
the advantage of both fixed exchange rate regime and floating
exchange rate regime. Up to now, there’s scarcely any research
achievement on quantitatively analyzing or measuring elastic
space of exchange rate volatility under the theoretical
framework of Paul Krugman’s “the Impossible Trinity”. Our
empirical study with the elasticity of RMB exchange rate
volatility as the research subject shows that: 1. broadening the
elastic space of RMB exchange rate volatility from 0.3% to 0.5%
is rational and necessary. 2. Current daily band limit (0.5%)
is approximately the elastic space of RMB exchange rate
volatility at the present stage, that is, current daily band
limit is both rational and adequate at the present stage on the
whole.
Key Words:Elastic
Space of Exchange Rate Volatility;Evaluation
Technique;Impulse
Response Function;Variance
Decomposition
JEL Classification:F31,
O24
Innovation Activities in Chinese
Manufacturing Firms:
The Roles of Firm Ownership and CEO
Incentives
Li Chuntao and Song Min
(Central University of Finance and Economics; University of
Hongkong)
Abstract:We use
a World Bank survey of 1483 manufacturing firms from 18 Chinese
cities over the period 2000 to 2002 to empirically examine the
roles of CEO incentives on firms’innovation activities under
different ownership structure, for both innovative input and
output. Innovation measures include firm R&D decision, R&D
intensity and a number of innovation output measures. After
controlling for other co-factors, we find the following main
results: (1) SOEs are more innovative than private firms, in
terms of both innovation input and output; (2) CEO incentive
schemes increase firm innovation; (3) The effect of the
incentives on innovation is deteriorated for SOE firms. The main
results prove robust after controlling for endogenity with
instrument variables. Some important policy implications are
discussed.
Key Words:Ownership
Structure; R&D; Incentive
JEL Classification:O30,
P20, H00
Is There Skill Biased Technological
Change? Evidence from China
Song Donglina,
Wang Linhuib and Dong Zhiqingb.c
(a: Changchun Taxation College; b: School of Economics of
Northeast Normal University;
c: Business School of Jilin University)
Abstract:The
paper makes an empirical study on the presence of the skill
biased technological change and the function difference of the
different kinds of technological change with China’s data from
1978—2007.
It points out that China’s
technology can conduct skill demand growth, and make the
structure of labor market variable and the skill premium, namely
there is skill biased technological change in China. To
subdivide technology to neutral, non-neutral, and capital
specific technology, it shows that all kinds of technology are
to be skill-biased,
and the capital specific function is the most, all these mean
that the technological change contained in the equipment grows
fast to make the skill biased technological change develop, and
the technological change takes the characters of both the
capital specific and skill biased.
Key Words:
Skill Biased Technological Change; Skill Demand; Skill Premium
JEL Classification:C61,
J82, O33
Empirical Study on Heterogeneous Dynamic
Path of Local Expenditure
under Inter-temporal
Budget Constraints
Zhang Zhengyu and Zhu Pingfang
(Center for Econometric Study, Shanghai Academy of Social
Sciences)
Abstract:We
show in this paper that the dynamic path of local public
expenditure follows a spatial dynamic panel data model by
accounting for both cross sectional strategic interactions and
inter-temporal
budget constraints. To estimate the economic relations that
display both inhomogeneous spillovers and asymmetric temporal
dynamics, an instrumental variable quantile regression estimator
is proposed. We then apply the suggested model and method to
examining the strategic engagement of environmental policymaking
among local governments using the panel data consisting of 276
municipalities in China from 2002 to 2006.The
empirical findings include that the contemporaneous spatial
effect increases as spending goes up and is significantly
positively registered over medium-high
quantile points while the inter-temporal
spatial effect is estimated to be negative through all the
quantiles. Local environmental spending grows by fiscal
accumulation on medium-low
quantiles up to some higher threshold level where the spending
starts to be fueled by strategic competition with neighboring
municipalities. The environmental input is inclined to be
crowded out by developing regional economy at medium-low
quantiles and is supported at higher quantiles.
Key Words:Strategic
Interaction among Local Government; Inter-temporal
Constraint; Spatial Dynamic Panel Data Models; Quantile
Regression
JEL Classification:C13,
C33, H70
Environmental Efficiency and Environmental
Total Factor
Productivity Growth in China’s
Regional Economies
Wang Bing,Wu Yanrui and Yan Pengfei
(Economics School, Jinan University;Business
School,University
of Western Australia; Economics and Management School, Wuhan University)
Abstract:This
paper applies SBM directional distance function and Luenberger
productivity indicator to measure environmental efficiency,
Environmental TFP growth and its components in China over the
period 1998 to 2007 while accounting for factors about resource
environment. We also empirically examine the causes of
efficiency and productivity changes. The major conclusions are
as follows: the overuse of energy and the excess of SO2
and COD emission are the main source of environmental
inefficiency, and the provinces in the eastern regions
experience higher environmental efficiency. The environmental
TFP is higher than market TFP on average. Centre regions and
western regions are frail in market TFP growth as well as in
environment TFP growth. The inclusion of energy saving and
emission reduction did change the ranks TFP of Chinese
provinces. GRP per capita, FDI, structure factor, the capacity
for environmental management of government and firms,
environmental protection awareness of people have a varying
degree effect on the environment efficiency and environment TFP
growth.
Key Words:
Environmental Efficiency;Environmental
Total Factor Productivity;Directional
Distance Function;Luenberger
Productivity Indicator
JEL Classification:C61,D24,O47
Convergence of Endogenous Cross-Country
Income Differences
Li Shang-ao
(School of Economics, Huazhong University of Science and
Technology)
Abstract:For
many problems in economic growth theories, cross-country
income differences are of central importance. Latest researches
consider biased technological change as the main reason of cross-country
income differences. Existing literature has studied the
relationship between biased technology stock and relative factor
supply, while this paper expends this issue to the study of the
relationship between biased technological progress rate and
relative factor supply. We study the difference between the two
major implications of biased technological change: biased
technology and biased technological progress, which cause
absolute convergence and conditional convergence. On the basis
of the empirical analysis we divide cross-country
income differences into 4 cases, and analyze the reasons of
absolute convergence and conditional convergence and the reasons
of wage fluctuations. Finally we conclude that sustainable
baised technological progress and efficient human capital
investment are the key conditions by which LDCs can catch up
developed countries.
Key Words:Cross-country
Wage Differences; Cross-country
Income Differences; Biased Technological Change
JEL Classification:E25,
O33, F41
Poverty Dynamics in Rural China
Luo Chuliang
(School of Economics and Business Administration,
Research Center of Income Distribution and Poverty, Beijing
Normal University)
Abstract:Based
on the longitudinal surveys in 2007 and 2008 conducted in rural
China, the paper discusses the poverty and poverty dynamics.
According to the poverty incidence occurred in these two years,
the share of poverty in both years is not so high. Of course,
the structure of poverty type also depends on the poverty
line.Higher poverty line might result in higher share of poverty
in both years. The dynamics of income composition indicates, the
wage income, including earnings from migration, contributed
obviously the poverty reduction, while fluctuation in household
business income is an important contributor to poverty. After
endogenization on household migration decision, the findings
show migration is significantly reduced poverty incidence. The
poverty incidence for the household with higher probability of
migration is lower. The poverty reduction effects of migration
also depend on the poverty line. The poverty reduction effect is
higher for the lower poverty line. Additionally, health also
significantly affects poverty and poverty dynamics. The
unhealthy member will result in higher poverty incidence.
Key Words:Migration;
Poverty in Rural; Poverty Dynamics
JEL Classification:I320,R200,O150
A Query to the Paper “CPI vs. PPI: Which
Drives Which”
Xu Weikang
(Mathematical Economic Centre, Capital University of Economics
and Business)
Abstract: The
author finds that the empirical investigation to the relation of
CPI and PPI in He’s paper has some problems, such as the
estimate of weight coefficient, the examination to the
cointegration and Granger-causality.
The empirical outcome of He’s
paper is that: CPI is the Granger-causality
of PPI. He’s
paper gives the conclusion from this result: the demand-side
factors have played a more important role than supply-side
factors in CPI inflation in contemporary Chinese economy. While
the author derives the different result by a VEC model with the
same data: the CPI is the Granger-causality
of PPI in the short and long-run,
and vice verse. Therefore, the point of He’s paper is
controversial.
Key Words:
Consumer Price Index; Producer Price Index; Price Transmission;
Query
JEL Classification:
E31, E37, C22
CPI vs. PPI: Which Drives Which? A Reply
He Liping, Fan Gang and Hu Jiani
(Beijing Normal University; China Reform Foundation)
Abstract: In
response to questions pinpointing to our earlier paper, “CPI vs.
PPI: Which Drives Which”, we have improved our earlier
econometric examinations, using a revised dataset. The finding
is basically the same as that in earlier one: for the period
under study (January 2001—June 2008), the change in CPI is
leading the change in PPI. As a weighted average of its
components, the series of CPI and that of its components should
be cointegrated
in principle. As changes in CPI reflects factors that are more
on the consumer demand side, and that in PPI also braces for
intermediate demand and supply-side
factors, analysis on the relations between the two may be
extended to the issue of aggregate demand and aggregate supply.
Key Words:CPI;
PPI
JEL Classification:E31,
E37, C22 |