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This study examines the extent to which electricity shortage influences technical efficiency using data of 805 listed manufacturing companies in China from 2009 to 2020 collected from the CSMAR database. To achieve the objectives of this paper, first, a stochastic frontier analysis (SFA) is used to estimate the technical efficiency (TE) score of manufacturing companies. Subsequently, the TE score is used to evaluate the electricity shortage index and other factors that are postulated to affect enterprise productivity. Two estimation methods have been adopted including ordinary least squares (OLS), which is less robust to endogeneity and instrumental variable (IV) estimation, which turns out to be more robust to endogeneity in the data. The empirical results show that, under OLS estimation, electricity shortage has a significantly negative impact on the technical efficiency of the listed manufacturing companies. However, when IV regression is implemented to address endogeneity issues in the data, electricity shortages tend to have a significantly positive impact on the technical efficiency, underscoring the importance of capturing endogeneity in the data. Extending the baseline results, this study also finds that, while the size of an enterprise may have no bearing, state-owned companies are more likely to be negatively affected by electricity shortages compared to privately owned companies. These results have significant implications for industrial policy design in China in particular, and developing countries in general. Most importantly, the results of this study underscore the importance of policies and measures to promote a shift in the ownership structure towards the private sector. [ABSTRACT FROM AUTHOR]

Abstract This study explores asymmetric effects of monetary policy on firm scale at different firm size levels. We find that Chinese firms respond to raising benchmark lending interest rates and deposit reserve requirements by decreasing their scales. Our quantile regression results also indicate that larger firms respond more strongly to both policy instruments by adjusting their scales to a greater degree than smaller firms. Moreover, SOEs react less strongly to policy changes than non-SOEs at all firm size distribution. The impact of monetary policy on firm scale is also stronger after commercial banks having greater leeway in setting interest rates. Highlights • Explore asymmetric effects of monetary policy on firm scale at different firm size levels. • Chinese firms respond to raising benchmark interest rates and deposit reserve ratios by decreasing their scales. • Larger firms respond more strongly to both policy instruments by adjusting their scales to a greater degree. • SOEs react less strongly to monetary policy changes than privately controlled listed firms at all firm size distribution. • The impact of monetary policy on firm scale is stronger when banks having greater leeway in setting interest rates. [ABSTRACT FROM AUTHOR]

Construction industries have significant impacts on the economy, society and environment. To transform construction industry towards sustainability, construction enterprises' perceptions and performance on sustainability needs to be understood and evaluated, which has not be fully explored by existing studies. This paper holistically examines the Chinese construction enterprises’ attitude towards and performance on various aspects of sustainability (e.g. the economic, social and environmental aspects) in order to identify those aspects the firms perceive to be the most and least important and those aspects the firms perform best and worst on. The associations among the sustainability attitude, sustainability performance, and firm size are also explored. The findings show that quality management and customer service are perceived as the most important as well as the best-performed aspects by the firms while supporting community development is the least important and worst-performed aspect. Sustainability attitude is positively correlated with performance, and larger firms tend to have better sustainability performance than that of small ones. However, larger construction firms do not necessarily perceive sustainability more important. This study provides a useful reference for policy makers and researchers to understand how sustainability is perceived and implemented by the Chinese construction firms. [ABSTRACT FROM AUTHOR]

Exploring the drivers of declining energy intensity is necessary in order to accelerate the transition to a low-carbon economy in China. To date, studies have typically adopted case analysis to link enterprise features and energy-saving performance. The impact of internal industrial configuration in terms of size and ownership structure on aggregate energy intensity remains to be examined. To fill this research gap, this paper tests the impact of the internal structure of industries on city-level energy intensity, by employing a unique panel dataset of 283 cities for the period 2005 to 2010. The Driscoll-Kraay method and instrumental variable are used to treat residual cross-sectional dependence and endogeneity, respectively. Results suggest that small-scale enterprises exerts a negative effect on energy intensity. A 1% increase in the output-value proportion of small-sized firms will lead to a decrease in total energy intensity of 0.067%. In contrast, the same change by medium enterprises will raise energy intensity by 0.031%. A negative and/or non-significant coefficient suggests that for most energy-intensive large and state-owned enterprises, China's 2006 top-down energy-saving regulation has been quite effective in targeting key energy-intensive enterprises in China. The findings reveal that state-owned enterprises (SOEs) can act as promoters of, rather than barriers to, low-carbon policy implementation in China. Given that the effectiveness of energy-saving regulation will be undermined as a result of diluted regulatory strength in each enterprise, market-oriented energy price reform is proposed as a fundamental driver for guaranteeing a continual decline in energy intensity. [ABSTRACT FROM AUTHOR]

This paper studies the size distribution of exporting and non-exporting firms in a panel of Chinese provinces. The power law exponents of exporting firms are significantly less than those of non-exporting firms. The average power law exponents fell from 0.74 in 1998 to 0.64 in 2007 for exporting firms, and from 1.03 in 1998 to 0.83 in 2007 for non-exporting firms. Further analysis showed that credit constraints have a significant negative effect on the exponents of the size distribution of exporting firms, suggesting that smaller firms are more credit-constrained than larger firms. [ABSTRACT FROM AUTHOR]