Determinants of economic growth in China: Private enterprise, education, and openness

Chen, Baizhu; Feng, Yi

doi:10.1016/s1043-951x(99)00014-0

Cited by 253 publications

(200 citation statements)

References 14 publications

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“…For instance, the nominal gross capital formation increased to more than 90 times as much as its initial value from 1978 through 2010 2 2 Data source: <China Statistical Yearbook>, (2009). . In addition, China has benefited a lot from the demographic bonus during the past three decades resulting from a rise of the labor force ratio due to family planning and rural-urban migration (Cai and Wang, 1999;Chen and Feng, 2000). According to the estimate of Cai and Wang (1999), the contributions of the rise of the labor force ratio and of the rural-urban migration to 2 economic growth in China from 1982 to 1997 are 24% and20%, respectively. However, some other studies argue that the improvement of productivity or TFP plays a key role in China's rapid economic growth, and they claim that the TFP growth rates are more than 3% per year and contribute to more than 30% of the economic growth in China (e.g., Hu and Khan, 1997;Chow and Li, 2002;Zhang and Shi, 2003;Bosworth and Collins, 2008) Why is there such a big divergence in the results regarding Chinese TFP growth rates in the current literature?…”

Section: Introductionmentioning

confidence: 99%

The Enigmas of TFP in China: A meta-analysis

Tian

2012

China Economic Review

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in

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Section: Introductionmentioning

confidence: 99%

The Enigmas of TFP in China: A meta-analysis

Tian

2012

China Economic Review

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“…Jack Johnston explains a graphical method to show the relative importance of variables. Figure. 2 and F statistics which may be sign of multicollinearity, index of political stability has significant at 5 percent level whereas other variables (HDI, IEF)does not have significant even 10 or 15 percent. Political stability effects economic growth not only indirectly by sources of capital accumulation but also directly on growth than labor, human capital and economic freedom in Asia.…”

Section: Resultsmentioning

confidence: 89%

“…Baizhu Chen and Yi Feng consider technology as an important factor that determines economic growth. Further, Lucas paid more attention to human capital and the factors which create knowledge or technology for economic growth [2] . Growth theory is regarded as development theory.…”

Section: Introductionmentioning

confidence: 99%

Political Stability and Economic Growth in Asia

Younis¹,

Lin²,

Sharahili³

et al. 2008

American J. of Applied Sciences

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This study investigates the effects of various factors of political instability on economic growth in selected ten Asian economies during 1990-2005. Our empirical findings show a close relationship between political stability and economic growth. We have analyzed the data by using ordinary least squire econometrics methods, which conclude that 32.35 scores increasing of index of political stability leads to one percent increase in economic growth. From these finding based on Asia experiences, we can conjecture that political stability plays a dominant role in determination of economic growth and sources of capital accumulation. This study uses the average proportion methods and Tinbergen diagrams to show the relative importance of political stability than economic freedom to accumulate capital, measured by four sources of capital accumulation which are proximate causes for economic growth. The results also clearly show that the role of political stability in accelerating economic growth is more vital than economic freedom.

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“…One of the earliest prominent theories explaining economic growth is neoclassical theory (Solow, 1956;Swan, 1956), which identifies investment in physical capital and labor as the key driver of growth. Many subsequent studies have identified other factors such as technological progress or innovation, government consumption, trade and trade terms, political stability, income distribution, inflation, the rule of law, and fertility (Barro, 1996;Chen & Feng, 2000;Anaman, 2004;Cuaresma, Doppelhofer, & Feldkircher, 2014;Vedia-Jerez & Chasco, 2016;Barro, 1991;Qayum, 2005;Vedia-Jerez & Chasco, 2016;Persson & Tabellini, 1992). All of these studies have confirmed the so-called conditional convergence of firms and nations (Evans & Karras, 1996;Quah, 1996).…”

Section: Technological Determinants Of Economic Growthmentioning

confidence: 93%

Does Reverse Causality Explains the Relationship Between Economic Performance and Technological Diversity?

Moaniba

Lee

2018

Technological and Economic Development of Economy

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Abstract. Previous studies have highlighted technological innovation as a key instrument for economic development. However, although the relationship between innovation and economic growth has been extensively explored, few studies have investigated the impacts of crucial dimensions of innovation on economic growth. This paper presents one of the first empirical attempts to analyze how the "diversity" aspect of technological progress (or innovation) influences economic performance by considering the possible bidirectional causal effects between these two factors. A series of econometric techniques, including a two-stage-least-squares instrumental variable and dynamic autoregressive distributed lag model, are applied on a dataset of 55 countries. The dataset includes patent data from the United States Patent and Trademark Office and combined macroeconomic data from the World Bank's development indicators and International Monetary Fund's economic outlook databases. The results show that generally, technological diversity does not directly affect economic growth. By contrast, a negative effect of diversity on GDP per capita is observed in nonhigh-income countries. This study contributes to the macroeconomics and innovation management literature by providing an integrated empirical application of various popular firm management theories and a well-known endogenous economic growth theory.

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Determinants of economic growth in China: Private enterprise, education, and openness

Cited by 253 publications

References 14 publications

The Enigmas of TFP in China: A meta-analysis

The Enigmas of TFP in China: A meta-analysis

Political Stability and Economic Growth in Asia

Does Reverse Causality Explains the Relationship Between Economic Performance and Technological Diversity?

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