Samenvatting
This book analyses the growth experience in Chinese industry and manufacturing,
with a special emphasis on the decomposition of growth, structural change, regional
divergence and convergence, and technology spillovers. The decomposition analysis
focuses on three dimensions: sectoral, regional and institutional. The book examines
regional productivity differentials and convergence or divergence trend in regional
industry. It includes an analysis of the regional, institutional and technological sources
of growth.
Chapter 2 provides a general review of the literature on regional disparity, structural
change and technological spillovers. In later chapters the insights from this literature
are applied to the analysis of China's regional industrial performance.
In Chapter 3, a summary is provided of the aggregate growth in China since 1978.
This chapter describes the main stages of the reform process and the corresponding
institutional changes. As the largest transition economy in the world, China's reform
has been carried out through step-by-step experimentations. From conventional points
of view, the reform process might be puzzling to some researchers. However, the
growth resulting from the reforms is unmistakable. China's GDP has grown more than
9 per cent per year after 1978 according to the official data provided by China's
National Bureau of Statistics (NBS). China’s institutional change is characterized by a
big drop of the share of state-owned enterprises and an increase of various different
ownership types. Township and village enterprises (TVEs), which started from the
negligible small community-funded enterprises, have shown an impressive growth
and contribution to China's economy. In addition, Chapter 3 also presents a survey of
the developments of technology indicators and education levels in China. Along with
the openness policy, the changes of foreign investment and trade are also discussed.
Chapter 4 tackles data issues and statistical problems at both the national level and
regional levels. Adjustments for value added and labour are made to create consistent
time series under comparable coverage.
In Chapter 5, we provide new estimates of capital inputs in the Chinese economy.
Estimates are made for the total economy (1953-2003), for the industrial sector (1978-
2003) and for the manufacturing sector (1985-2003). The estimates for industry and
manufacturing are broken down into thirty regions. This chapter makes a systematic
attempt to apply SNA concepts to the estimation of Chinese capital inputs, according
to the Perpetual Inventory Method. It makes a clear distinction between capital
services and wealth capital stocks. After a general discussion of theoretical issues in
capital measurement, a detailed analysis of the relevant Chinese statistical concepts
and data is provided.
Chapter 6 focuses on the contribution of structural change to aggregate manufacturing
performance in China. Since the start of the reform period the booming Chinese
economy has experienced rapid structural change. Using shift-and-share techniques,
this chapter examines three types of structural change: changes in the sectoral
structure of production, changes in the regional structural of production and changes
in the ownership structure. Overall productivity growth was slow in the 1980s, but
accelerated dramatically from 1990 onwards. In 1980s, we found evidence of a
structural change bonus, with sectoral shifts contributing 24% to overall productivity
growth. However, when productivity growth accelerated in the 1990s, the contribution
of the shift effect dropped to a mere 3.3%. In contrast to sectoral changes, changes in
the ownership structure in the early 1980s contributed negatively to overall
productivity growth. The contributions of ownership change turned positive after
1985, reaching 23% of productivity growth in the period 1992–1997. Shifts in
ownership explain a substantial part of productivity growth during the productivity
boom. Like shifts in ownership, regional shifts initially contributed negatively to
productivity growth till 1992, and positively thereafter. However, the general
contribution of regional shifts is lower than the contributions of sectoral and
ownership shifts. Contrary to initial expectations, the regional analysis of productivity
trends does not indicate regional divergence.
Chapter 7 explores the extent to which there is regional productivity divergence or
productivity convergence in Chinese manufacturing. Traditional regression methods
are based on the relationships between productivity growth rates and initial
productivity levels. Instead of these methods, we use the stochastic kernel density
approach, which provides a better view of distribution dynamics. Besides the
commonly used variables such as GDP per capita and labour productivity, we use
Data Envelopment Analysis to measure the productive efficiency of manufacturing in
Chinese regions relative to best regional practice. The evolution of regional
productivity performance can thus be compared among 30 Chinese regions. Our
results show that there was substantial regional convergence from 1978 to around
1990. This was followed by a period of modest divergence up till around 2001. After
2001, convergence trends resumed. Whatever indicator was used, the degree of
regional inequality was substantially lower than at the beginning of the reform period.
In Chapter 8, the contribution of technological spillovers in the process of industrial
growth and catching-up in Chinese regions is analyzed. Concerning the sources of
technological spillovers in Chinese regions, we distinguish between the regional level
and the international level. The former refers to R&D inputs in other regions, the
latter concerns international R&D investment which is embodied in foreign direct
investment (FDI). Our analysis covers the impact of spillovers from R&D in other
regions, from FDI in the own region, as well as FDI in other regions. Our empirical
analysis indicates that there are stronger R&D spillover effects than FDI spillover
contributions at the national level. Regional spillovers are an important explanation of
the catching-up in middle regions of China.
Chapter 9 concludes the whole thesis, with a brief discussion of the main results of
our analysis, and some indications for further research.
| Originele taal-2 | Engels |
|---|---|
| Kwalificatie | Doctor in de Filosofie |
| Toekennende instantie |
|
| Begeleider(s)/adviseur |
|
| Datum van toekenning | 11 mrt. 2009 |
| Plaats van publicatie | Eindhoven |
| Uitgever | |
| Gedrukte ISBN's | 978-90-386-1562-2 |
| DOI's | |
| Status | Gepubliceerd - 2009 |
Duurzame ontwikkelingsdoelstellingen van de VN
Deze output draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en)
-
SDG 9 – Industrie, innovatie en infrastructuur
-
SDG 10 – Minder ongelijkheid
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