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This study investigates the relationship between financial inclusion (FI) and banks’ performance in the economy of Jordan using annual data of 13 commercial banks from 2009 to 2014. Performance is measured by gross income and return on assets (ROA) of these banks. To ensure the robustness of our results, we used six different measures of FI. These include credits for small and medium enterprises (SMEs), deposits for SMEs, number of ATMs, number of ATM services, number of credit cards, and new services. We found a significant impact of FI on ‘ performance when measured by gross income, and ROA, although our study displays different results when considering the effect of FI variables separately. Thus, FI contributes to enhance the banks’ performance. Therefore, the banks should devote more resources to increase FI as it benefits their profitability.

The article provides a comparative critique of the financial underpinnings of the Great Depression of the 1930s and the recent wave of financial crises. The collapse of the financial systems in many developing nations, the bankruptcies in the Anglo-Saxon corporate sectors and a threat of more sovereign defaults on behalf of emerging markets suggest that the current wave of global financial fragility and recession rivals that of the Great Depression of the 1930s. The paper examines key elements that account for the crisis-prone nature of global capitalism: the political discipline of neo-liberalism, debt-driven expansion of the privatised financial markets, and the profound disarticulation of the financial and real economies. These factors suggests that the risk of a global depression is by no means hypothetical, and unless effective and collaborative efforts are made to tame the inherently unstable regime of global finance, even major world economies are faced with a prolonged period of financial turbulence and economic stagnation. The paper concludes by pondering the possibility of a paradigmatic shift in the transnational political consensus that can prevent a global repetition of the 1930s. While the increased awareness of financial instability and crisis may indeed prompt some ad hoc adjustments in national and foreign economic policies of major capitalist powers, in the long run these measures will be insufficient to prevent a major financial and economic disaster.

In this paper we investigate the relationship between loose monetary policy, low inflation, and easy bank credit and house price booms.

Using a panel of 11 OECD countries from 1920 to 2011 we estimate a panel VAR in order to identify loose monetary policy shocks, low inflation shocks, bank credit shocks, and house price shocks.

We show that during boom periods there is a heightened impact of all three “policy” shocks with the bank credit shock playing an important role. However, when we look at individual house price boom episodes the cause of the price boom is not so clear. The evidence suggests that the house price boom that occurred in the United States during the 1990s and 2000s was not due to easy bank credit.

Shocks from the shadow banking system are not separately identified. These are incorporated into the fourth “catch-all” shock.

Our evidence on housing price booms that expansionary monetary policy is a significant trigger buttresses the case for central banks following stable monetary policies based on well understood and credible rules.

This paper uses historical evidence to evaluate the relative importance of three main causes of house price booms. Our results bring into question the commonly held view that loose bank credit was to blame for the U.S. house price bubble of the later 1990s.

The experience of the 1990s renewed economists’ interest in the role of credit in macroeconomic fluctuations. The locus classicus of the credit-boom view of economic cycles is the expansion of the 1920s and the Great Depression. In this paper we ask how well quantitative measures of the credit boom phenomenon can explain the uneven expansion of the 1920s and the slump of the 1930s. We complement this macroeconomic analysis with three sectoral studies that shed further light on the explanatory power of the credit boom interpretation: the property market, consumer durables industries, and high-tech sectors. We conclude that the credit boom view provides a useful perspective on both the boom of the 1920s and the subsequent slump. In particular, it directs attention to the role played by the structure of the financial sector and the interaction of finance and innovation. The credit boom and its ultimate impact were especially pronounced where the organization and history of the financial sector led intermediaries to compete aggressively in providing credit. And the impact on financial markets and the economy was particularly evident in countries that saw the development of new network technologies with commercial potential that in practice took considerable time to be realized. In addition, the structure and management of the monetary regime mattered importantly. The procyclical character of the foreign exchange component of global international reserves and the failure of domestic monetary authorities to use stable policy rules to guide the more discretionary approach to monetary management that replaced the more rigid rules-based gold standard of the earlier era are key for explaining the developments in credit markets that helped to set the stage for the Great Depression.

Biotechnology is now considered a key emerging sector in Ireland's economic landscape. Defined as the ‘application of scientific and engineering principles to the processing of materials by biological agents’ (Forfás Report, 2005), biotechnology is now the main high-technology driver affecting industries as diverse as food, agriculture human health and environmental protection. In 2002 it was estimated that over 400,000 people worldwide were employed in biotech (InterTradeIreland, 2002), with the market for biotechnology products worth an estimated 100 billion (European Commission, 2002). However, according to the Technology Foresight Ireland Report (1999), these figures are predicted to increase significantly, with the expectation that, by the end of 2006, the biotechnology sector will be worth an estimated 250 billion and will employ more than three million workers.

This study investigates the causal relationship between financial innovation (FI) as proxied by the bank credits to private sector, as percentage of GDP and economic growth in case of Azerbaijan using annual data covering the period from 1992 to 2018. For this purpose, the Toda–Yamamoto causality test with the framework of vector autoregressive (VAR) model is utilized to test causal relationship between the variables. The estimation results reveal that there is bidirectional causal relationship between FI and economic growth. The findings of the study suggest the researchers and policy makers to understand the role of FI in economic growth for macroeconomic stability and sustainable development purposes in Azerbaijan and other developing oil-rich countries.

This chapter discusses how one bank, committed to social innovation and investment in low-income communities, evolved into a model of socially responsible banking and exemplary community development financial institution. The authors draw lessons from this experience and propose ways to apply those lessons to other financial institutions.

The chapter is based on an in-depth case study of ShoreBank. It includes extensive interviews with two of the bank’s cofounders, who served as the bank’s leaders for more than 37 years.

The case study has identified six key enabling factors for social innovation: (1) a social purpose that is deeply, and effectively, embedded in the organization’s mission, strategy, and operations; (2) an ownership structure to support the social mission and a structure (e.g., bank holding company) that facilitates social innovation; (3) capital capacity – that is, ability to create credit through leverage; (4) a deep level of knowledge about the business, the clientele, and the operating environment; (5) talented people who bring both skill and passion for the mission to the institution-building process; and (6) the discipline to continuously innovate, at a scale appropriate to the problem, with resources that are adequate to the challenge.

This work has several limitations including a focus on one U.S. bank holding company, and based on interviews with that bank’s cofounders.

The chapter provides a rich description of how social innovation through social investment created a meaningful social impact. Important lessons and useful recommendations are drawn for social enterprises that are committed to social innovation in the financial services industry.

The chapter provides insights into the ShoreBank case based on a unique set of data. It offers useful recommendations for social enterprises.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.