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This chapter studies banks’ loan pricing behavior in mainland China during 2003–2013 by applying panel regressions to firm-level loan data and the estimated default likelihood for listed companies. The authors find that with the progress of market-oriented financial reforms, banks generally require compensation for their exposure to borrowers’ default risks. It is even more so if the borrower is a non-state-owned enterprise (non-SOE), mainly due to the pricing behavior of the Big Four banks. Bank lending rates are shown to be less sensitive to the default risks of state-owned enterprises (SOEs). Our results also reveal that banks priced in firm default risks before 2008 financial crisis, but not necessarily so after the crisis. As for industries, we find that after the 2008 Global Financial Crisis, the real estate sector and other government-supported industries tended to enjoy better terms on loan pricing in terms of default risks. We believe the main reason is that the government stimulus policies tilted toward those industries that have played crucial roles in China’s economic growth.

In this paper I investigate the nature of the differential in poverty by ethnicity in rural China using data from the Chinese Household Income Project in 2002. For that, I compare observed poverty with that in a counterfactual distribution in which ethnic minorities are given a set of relevant village and household characteristics of the Han majority. In particular, I investigate the importance of the location of minorities in explaining their higher poverty levels. The ethnic poverty differential does not change after equalizing the distribution of the population by geographical region (unless we use a higher poverty line). However, it is reduced after equalizing other locational characteristics of minorities (such as them living in less developed and mountainous areas), their larger number of children, their low education, and their fewer skilled non-agriculture workers. Finally, the ethnic per capita (log) income differential is shown to be higher for higher percentiles, with an increasing role of the geographical region as the main driver of these higher differentials.

To explore income inequality in urban China, this paper investigates disparities between- and within-urban locals and rural migrants from 2002 to 2013, using three waves of the China Household Income Project (CHIP) data. While the existing literature concentrates on the wage disparity between these two groups, our results show that the Gini among the migrants increased by 17.86% between 2007 and 2013 and that among the locals increased by 15.54% from 2002 to 2007. The urban–migrant average income gap decreased during the whole period mainly due to higher growth in migrants’ average income. Estimates based on Mincerian earnings functions for both groups reveal the significant role of the education, occupation and type of contract in determining the within-group inequality. In addition, using a recentred influence function (RIF), we observe that short-term and other types of contracts, duration of the job, in-system ownership, marriage and skill have inequality-enhancing effects for migrants. The variation of skills has a larger impact on the income disparity among migrants than on that among urban locals. The RIF-based Blinder–Oaxaca decomposition of the mean difference of incomes shows that labour market discrimination between the two groups is not significant; however, both pure explained and unexplained differences are significant when applying the RIF decomposition to the variance of the logarithms of incomes. While the type of contract significantly reduces the pure explained difference between migrants and urban locals, occupation has a positive impact on this difference between these two groups. The heterogenity analysis shows that the factors influencing incomes in these two groups are different. We recommend labour market intervention to reduce unreasonable occupational and sectoral disparities, especially in the net inflow provinces, to mitigate urban inequality in China effectively.

This chapter empirically examines factors associated with the environmental disclosures made by Canadian manufacturing firms in their 1993 annual reports. Existing studies suggest that corporate environmental information is value-relevant and that firms may disclose such information in a strategic fashion. This study examines the extent to which voluntary disclosure theory can explain corporate disclosure of general and financial environmental information. We find that firms with more news media coverage of their environmental exposure, higher pollution propensity, and more political exposure are more likely to disclose general environmental information. These findings are consistent with the predictions of the voluntary disclosure literature. We also find that disclosure of financial information about corporate environmental impact is influenced less by voluntary disclosure factors than is general disclosure.

To determine what role overconfidence plays in the forced removal of CEOs internationally.

The study makes use of the Fortune Global 500 list.

We find that overconfident CEOs face significantly greater hazards of forced turnovers than their non-overconfident peers. Regardless of important differences in culture, law, and corporate governance across countries, overconfidence has a separate and distinct effect on CEO turnover. Overconfident CEOs appear to be at greater risk of dismissal regardless of where in the world they are located. We also discover that overconfident CEOs are disproportionately succeeded by other overconfident CEOs, regardless of whether they are forcibly removed or voluntarily leave office. Finally, we determine that the dismissal of overconfident CEOs is associated with improved market performance, but only limited enhancement in accounting returns.

This study is unique with its examination of overconfidence among global CEOs rather than being limited to U.S. chief executives. It also provides insight into how overconfidence is related to national cultures, legal systems and corporate governance mechanisms.

The impact of competition on innovation has been extensively studied, but with ambiguous findings. We study the impact of import competition on U.S. corporate innovation and present some new perspectives. We conjecture that U.S. firms view import competition from high-wage countries (HWCs) as “neck-and-neck” competition and will respond by intensifying innovation. In contrast, U.S. firms will reduce innovation in response to import competition from low-wage countries (LWCs), because such competition does not always increase the potential benefits from innovation. Our empirical results are supportive. We find that, when confronting HWC import competition, U.S. firms increase R&D spending while intensifying and improving innovation output (file more patents, receive more citations to their patents, and produce more breakthrough patents). Moreover, U.S. firms closest to the technological frontier – largest firms, firms with the largest stocks of knowledge, and most profitable firms – increase and improve their innovation the most in response to HWC competition. These results shed light on the relationship between product market competition and innovation, and point to the origin of import competition as a determinant of innovation decisions made by different U.S. companies.

Long-term interest rates of small open economies (SOE) correlate strongly with the USA long-term rate. Can central banks in those countries decouple from the United States? An estimated Dynamic Stochastic General Equilibrium (DSGE) model for the UK (vis-á-vis the USA) establishes three structural empirical results: (1) Comovement arises due to nominal fluctuations, not through real rates or term premia; (2) the cause of comovement is the central bank of the SOE accommodating foreign inflation trends, rather than systematically curbing them; and (3) SOE may find themselves much more affected by changes in USA inflation trends than the United States itself. All three results are shown to be intuitive and backed by off-model evidence.

Drawing on organization theory perspectives, this chapter investigates how multinational enterprises (MNEs) based in different home countries influence each other's foreign entry decisions. The proposition that the subsidiaries of multinationals from different countries constitute a reference environment and that this environment provides important information for potential new entrants was tested with panel data on foreign entries from 55 home countries into China from 1979 to 1995. The rate of new entries from a focal home country was found to correlate with the number of foreign subsidiaries already established by firms from other home countries with cultures similar to that of the focal home country. This was interpreted as reflecting transnational learning and competition. Uncertainty derived from home-host-country trade ties and cultural differences was shown to moderate this transnational mimetic learning.