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This chapter discusses inspiration and innovation through social transformation taking place in Asia through leadership utilizing concepts of Buddhism. In India, values of the Buddhist dhamma are grounded in a permeating esthetic system dating back to early historical times. It was lost there and revitalized in 1956. For Taiwan, inspiration came in the name of humanistic Buddhism that developed in late 19th century China. It offered a moral and practical value system for society at large.

Buddhism became socially engaged as part of a cultural ethos for over a generation with underlying integrated roots in local beliefs, esthetics, and practices. The broader question to discuss is how Buddhist values influence policy leadership. Here, we feature engaged Buddhism that emphasizes awareness, compassion, and non-violence, while embracing modern ways of organizing and communication.

Cases are provided where Buddhism has shaped leaders’ roles and aims, as well as those of followers guiding reforms for best governance. In India Dr. Ambedkar (1891–1956) embraced Buddhism as a platform for deliverance and championed social equality. His life’s struggle concerned issues of caste, as he was born “untouchable.” The second example is about Dhamma Master Cheng Yen (b. 1937) who established Tzu Chi in eastern Taiwan as a relief agency that became international. Both leaders helped life’s embetterment through Buddhism based on modernity, science, advanced technology, leadership, and democracy. These examples of engaged Buddhism have made tremendous impact pertaining to the people of their nation and serve a model for world development.

This paper proposes a new class of estimators for the autoregressive coefficient of a dynamic panel data model with random individual effects and nonstationary initial condition. The new estimators we introduce are weighted averages of the well-known first difference (FD) GMM/IV estimator and the pooled ordinary least squares (POLS) estimator. The proposed procedure seeks to exploit the differing strengths of the FD GMM/IV estimator relative to the pooled OLS estimator. In particular, the latter is inconsistent in the stationary case but is consistent and asymptotically normal with a faster rate of convergence than the former when the underlying panel autoregressive process has a unit root. By averaging the two estimators in an appropriate way, we are able to construct a class of estimators which are consistent and asymptotically standard normal, when suitably standardized, in both the stationary and the unit root case. The results of our simulation study also show that our proposed estimator has favorable finite sample properties when compared to a number of existing estimators.

The greatest challenge facing most economies today is how to grow their economies and reduce over-dependence on imports in the midst of increasing integration of world economies. Addressing this challenge seems to be difficult despite all efforts by policymakers at different times to salvage the situation, the problem persists as evident in the global financial crisis of 2008 and the Eurozone crisis of 2012 which were generally viewed as a glaring illustration of limitless pursuit of economic integration and governance failure at the expense of carefulness, prudence, due diligence, and regulation. It also reflects the lack of proper coordination and lack of proper economic integration facing most emerging market economies of the world. Against this background, this study focuses on the reexamination of the impact of trade openness (TOP) and financial openness (FOP) on economic growth in emerging market economies. The direct and interaction effect of the both openness variables on economic growth in these markets is investigated using data from 2000 to 2017 adopted from World Development indicators of the World Bank. Over 30 emerging market economies covering Asia, Latin America, and Europe are included in the study. For empirical analysis, the study uses one measure of FOP: de facto (total capital flow) variables following Aizenman and Noy (2009) and a measure of TOP as total trade–GDP ratio. The study applies the Dynamic Panel Approach, that is, the Arellano–Bond GMM estimation technique and Granger Causality Test to address the objectives. The results of this study show that TOP has a positive and significant impact on all the countries studied, whereas FOP has positive but no significant impact on economic growth of these countries, implying that these countries have not harnessed the benefit of financial liberalization and integration. It is recommended that the emerging market economies should open not only their economies to trade but also open their economies to finance so as to reap the benefits of FOP and integration.

The purpose of the study is to investigate the impact of tax planning activities on the firm value of FTSE 100 firms. We employ static and dynamic panel regression analyses on a sample of 70 companies drawn from the UK FTSE 100 over a five-year period (2006–2010). Empirical evidence suggests that tax planning activity as measured by the proxies based on reported accounting information has a negative impact on firm value. Moreover, the results from the Generalized Methods of Moments (GMM) models suggest significant dynamics in firm value, i.e., the current firm value is positively affected by the past firm value. The findings imply the need for a full review of the adequacy and relevance of tax accounting disclosure and therefore have policy implications for accounting standard setters.

This research examines the bidirectional relationship between Environmental, Social and Governance (ESG) voluntary disclosure engagement and financial performance of a panel of banks extracted from the Gulf Cooperation Council (GCC) banking industry, covering a period of 11 years (2007–2017). We find that GCC banks, and in particular Islamic banks, voluntarily disclose low level of information related to ESG activities. Using system GMM methodology, we provide evidence that ESG disclosure adversely affects bank performance, regardless of the bank performance measure used. Thus spending on ESG turns out to be costly for GCC banks, a result that is consistent with the agency problem, where managers are likely to reduce long-term expenditures related to ESG actions in order to boost short-term profits. As managers' compensations often relate to short-term financial performance, managers tend to reduce their spending on ESG activities. Furthermore, contrary to previous research, our results indicate that the relationship between ESG and financial performance is bidirectional and dynamic. We also find evidence that ESG disclosure positively affects performance only for well-diversified banks. Finally, although conventional banks disclose significantly more information related to ESG activities, we do not find any significant differences between the two types of banks in the relationship between ESG disclosure and performance. Our suggestion is that these results are consistent with what we call “clientele” and “gravitation” effects, where a customer tends to choose to deal with the bank that reflects his religious beliefs (gravitation effect) and with the bank that provides him with the best services (clientele effect) regardless of its ESG disclosure.

Prior studies document increased share repurchase activity after the temporary tax holiday under the American Jobs Creation Act (AJCA) of 2004. Our study examines the moderating effect of financial statement readability on share repurchases in response to a temporary reduction in repatriation tax. Building on prior literature, we argue that firms with excess cash overseas, despite the lack of investment opportunities, produce less readable financial statements to hide bad news. We find that firms with less readable financial statements initiated higher levels of share repurchases after the AJCA. Our results contribute to the existing literature showing (1) firms hold excess cash overseas mainly for tax reasons rather than for nontax reasons such as precautionary motives or empire-building concerns and (2) firms return excess funds to investors rather than squander the funds once the tax cost of repatriation is reduced. Firms that suffer from the overinvestment problem using hard-to-read financial statements to hide the bad news of a lack of investment opportunities are more likely to benefit from the tax cut. Our study provides timely evidence of potential firm response to the 2017 Tax Cut and Jobs Act, which permanently removes the repatriation tax.

Long-run changes in living standards occupy an important place in development and growth economics, as well as in economic history. An extensive literature uses heights to study historical living standards. Most historical heights data, however, come from selected subpopulations such as volunteer soldiers, raising concerns about the role of selection bias in these results. Variations in sample mean heights can reflect selection rather than changes in population heights. A Roy-style model of the decision to join the military formalizes the selection problem. Simulations show that even modest differential rewards to the civilian sector produce a military heights sample that is significantly shorter than the cohort from which it is drawn. Monte Carlos show that diagnostics based on departure from the normal distribution have little power to detect selection. To detect height-related selection, we develop a simple, robust diagnostic based on differential selection by age at recruitment. A companion paper (H. Bodenhorn, T. Guinnane, and T. Mroz, 2017) uses this diagnostic to show that the selection problems affect important results in the historical heights literature.