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BOOTSTRAP (5) answer(s).
 
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ID:   101162


Bank productivity in China 1997-2007: measurement and convergence / Matthews, Kent; Zhang, Nina (Xu)   Journal Article
Matthews, Kent Journal Article
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Publication 2010.
Summary/Abstract This study examines the productivity growth of the nationwide banks of China and a sample of city commercial, banks for the ten years to 2007. Using a bootstrap method for the Malmquist index, estimates of the total factor productivity growth are constructed. Five different models of inputs and outputs based on variants of the Intermediation and Production approaches and non-performing loans are treated as a bad output, are examined for the purpose of arriving at a robust measure. The productivity growth of the state-owned commercial banks (SOCBs) is compared with the joint-stock banks (JSCBs) and city commercial banks (CCBs). In general, average TFP growth has been neutral over the period for the SOCBs and JSCBs but positive for the CCBs in the second part of the period. Efficiency gains (catch-up) were obtained through cost reduction and technical innovation was associated with greater diversification of revenue away from interest earnings. The opening up of the banking market has not led to a discernible improvement in bank productivity growth.
Key Words China  Productivity  Bank Efficiency  Malmquist  Bootstrap 
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2
ID:   172783


Dynamic causalities between defense expenditure and economic growth in China: evidence from rolling Granger causality test / Chiwei Su (et al.)   Journal Article
Chiwei Su (et al.) Journal Article
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Summary/Abstract This study examines the causal nexus between defense expenditure and economic growth in China using the bootstrap Granger full-sample causality test and rolling-window estimation. The full-sample result indicates a positive bidirectional causality between economic growth and defense expenditure, suggesting that more defense spending increases economic growth, and vice versa. By adopting a time-varying rolling-window approach to revisit the dynamic causal relationships, this article identifies that the causality changes over time. We find significant positive short-run causality running from economic growth to defense expenditure in most of the time investigated, thus implying that economic growth stimulates defense expenditure. However, large-scale disarmaments break such positive linkage. Conversely, both positive and negative effects of defense expenditure on economic growth are demonstrated, showing that more defense spending has ambiguous effect on economy. Consequently, economic growth mainly drives defense expenditure rather than the other way around. The impact of defense expenditure in China on national economy is affected by multiplier effect and crowding-out effect as well as institutional factors.
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3
ID:   111371


Energy consumption and economic growth in China: a reconciliation / Yalta, A Talha; Cakar, Hatice   Journal Article
Yalta, A Talha Journal Article
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Publication 2012.
Summary/Abstract In conventional causality testing based on asymptotic distribution theory, there is a high risk of wrongly rejecting the true null of no causality especially when the sample size is as small as typically seen in the literature. In this study, we offer a formal diagnosis of the existing contradictory results on the causal relationship between energy consumption and real GDP. We also employ a time series oriented advanced data generation process to perform simulation based inference for the People's Republic of China. Our study covers the 1971-2007 period and considers five different aggregated and disaggregated energy consumption measures as well as three different lag orders in both a bivariate as well as a multivariate frameworks. Our maximum entropy bootstrap based analysis, which avoids pretest biases and is also robust to Type I errors, supports the neutrality hypothesis in 53 out of the total of 60 model estimations. The strong results show that coarse aggregate data has a limited potential to observe the complex causal linkages between energy consumption and economic growth. Future policy oriented research on this nexus requires more focused analyses based on sectoral and provincial data.
Key Words China  Causality  Bootstrap 
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4
ID:   162551


Guns for Butter? Empirical Evidence from China / Xu, Yingying   Journal Article
Xu, Yingying Journal Article
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Summary/Abstract This study examines the causal nexus between defence spending and education expenditure in China using the bootstrap Granger full-sample causality test and sub-sample rolling window estimation. The full-sample result indicates that there is no causality between defence spending and education expenditure. By adopting a time-varying rolling window approach to revisit the dynamic causal relationships, this article identifies a negative unidirectional causality running from education expenditure to defence spending. The finding suggests that it is the education expenditure crowds out defence spending in China rather than reverse. No causality is demonstrated from defence spending to education expenditure, indicating that an increase in military spending will not crowd out expenditure on education. The results could be partly explained by that the education expenditure in China is below the requirement of corresponding economic growth, urging for more financial budget. Whereas the findings support a negative trade-off between defence and education expenditures, they refute the theory of ‘guns for butter’.
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5
ID:   134028


Military expenditure, economic growth and structural instabilit: a case study of South Africa / Aye, Goodness C; Balcilar, Mehmet; Dunne, John P; Gupta, Rangan, Eyden, Reneé van   Journal Article
Balcilar, Mehmet Journal Article
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Publication 2014.
Summary/Abstract This paper contributes to the growing literature on the milex-growth nexus, by providing a case study of South Africa and considering the possibility of structural breaks by applying newly developed econometric methods. Using full sample bootstrap Granger non-causality tests, no Granger causal link is found between military expenditure and GDP for 1951-2010, but parameter instability tests show the estimated VARs to be unstable. Using a bootstrap rolling window estimation procedure, however, finds evidence of bidirectional Granger causality in various subsamples. This implies standard Granger non-causality tests, which neither account for structural breaks nor time variation may be invalid.
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