ABSTRACT The argument over the effects of financial structures on economic growth remains unsettled. This study, therefore, compares the dynamic correlation and lead–lag relationship between the different financial approaches within the banking sector (that is, traditional bank loans versus innovative financial leasing) and economic growth. We employ a continuous wavelet analysis using time-series data from 1982–2017 from the US (the world’s largest developed country) and China (the world’s largest developing country). The empirical results show that (1) episodes of significant correlation usually emerge during periods of reform, crisis or policy implementation; and (2) in China, traditional banking promotes economic growth in the long term, while the real economy only imputes the evolution of banks during critical economic reforms in the short term. Meanwhile, financial leasing could only promote the development of the real economy under suitable regulation; and (3) in the US, before the crises, the irrational growth of the real economy could increase bank assets, while during the crises, the traditional banking approach harms economic growth, and after the crises, financial leases play an important role in recovery. Therefore, we suggest that policymakers should establish adequate policies and regulations to solve the situation. 相似文献
As earthquakes can result in multi-dimensional negative consequences such as human loss and building damage, the ability to make accurate economic loss estimations immediately after the occurrence is crucial. Unfortunately, in many earthquake-stricken countries such as Iran, governments are often unable to quickly or accurately assess post-earthquake losses. The aim of this paper, therefore, is to extend the model developed by Chan et al. (Nat Hazards 17:269–283, 1998) to two independent variables to develop an earthquake economic loss estimation method based on the economic and socio-economic indices gross domestic product (GDP) and disposable personal income (DPI) and a seismic hazard probability function. A global cell map is also considered to assess the GDP and DPI based on the population in each cell affected by the earthquake. In the final stage, using the Modified Mercalli Intensity Scale, 18 earthquake damaged areas in Iran are taken as case study to estimate the economic losses using the new model presented in this paper.