WHO DEVELOPS INNOVATIONS IN MEDICINE FOR THE POOR? TRENDS IN PATENT APPLICATIONS RELATED TO MEDICINES FOR HIV/AIDS,TUBERCULOSIS, MALARIA,AND NEGLECTED DISEASES

This paper analyzes patent data of medicines and vaccines for diseases spreading in low‐income countries. The data were retrieved from a database of the Japan Patent Office. Who invents medicines for the poor of the world? This is the main question that the paper addresses. Results indicate that not only public institutions but also private firms have played an important role in developing innovations for fighting both global diseases such as HIV/AIDS and tuberculosis, and so‐called neglected diseases including malaria, which seem to spread almost exclusively in low‐income countries. Moreover, the basic mechanism of innovation is similar between the development of medicines for HIV/AIDS and those for neglected diseases. Finally, among firms, infectious disease fighting innovations are quite diverse. R&D stock and economies of scope are used to explain frequent patent applications by a high‐performing pharmaceutical firm.     

Exchange Rate Changes and Inflation in Post‐Crisis Asian Economies: Vector Autoregression Analysis of the Exchange Rate Pass‐Through

Macro‐economic consequences of large currency depreciations among the crisis‐hit Asian economies varied from one country to another. Inflation did not soar after the Asian currency crisis of 1997–98 in most crisis‐hit countries except Indonesia where high inflation followed a very large nominal depreciation of the rupiah. The high inflation meant a loss of price competitive advantage, a key for economic recovery from a crisis. This paper examines the pass‐through effects of exchange rate changes on the domestic prices in the East Asian economies using a vector autoregression analysis. The main results are as follows: (i) the degree of exchange rate pass‐through to import prices was quite high in the crisis‐hit economies; (ii) the pass‐through to Consumer Price Index (CPI) was generally low, with a notable exception of Indonesia; and (iii) in Indonesia, both the impulse response of monetary policy variables to exchange rate shocks and that of CPI to monetary policy shocks were positive, large, and statistically significant. Thus, Indonesia's accommodative monetary policy, coupled with the high degree of CPI responsiveness to exchange rate changes was an important factor in the inflation‐depreciation spiral in the wake of the currency crisis.     

China as Number One: How about the Renminbi?

Using simulations projecting Chinese economic growth into the future, this paper first examines when China will overtake the USA to become the largest economy. Demographic changes that affect economic growth are taken into consideration in these projections. China is expected to become number one sometime in the mid-2020s, unless its growth rate of gross domestic product per worker declines dramatically, à la the lost decade of Japan. Next, the paper examines whether China becoming the number one economy will mean its currency, the renminbi (RMB), will become the international key currency. According to the basket currency regressions during the period that Chinese currency was gradually appreciating against the US dollar from July 2005 to August 2008, it is shown that the RMB has already acquired a strong influence on the Asian currencies. This shows that the RMB is fast gaining the status of a regional anchor currency for a possible regional joint float. As the Chinese government proceeds with internationalization of its currency, the RMB is expected to gain in the ranking of other aspects of international currency, such as the store of value and the medium of exchange.     

How do Chinese industries benefit from FDI spillovers?

Recently, Foreign Invested Enterprises (FIEs) in China have increased their investment in not only production activity but also R&D activity. This paper examines the impact of spillovers from such activities by FIEs on two types of innovations by Chinese domestic firms: Total Factor Productivity (TFP) and invention patent application, using comprehensive industry and province-level data. We evaluate such spillovers according to FIEs' ownership structure, the origin of foreign funds and whether they are from the same industry or from other industries. We find an interesting asymmetry between spillovers to TFP and invention patent applications; while we do not find significant intra-industry spillovers from FIEs but find robust inter-industries spillover related to TFP, we find substantial intra-industry spillovers promoting invention patent applications but no evidence of inter-industries spillovers. Furthermore, whereas spillovers from FIEs to Chinese firms' TFP stem from their production activities, the source of spillovers related to invention patent applications is mostly through their R&D activity. Our findings indicate a need for multidimensional evaluation of the role of FDI in developing countries.     

WHY IS THE TAKE-UP OF MICROINSURANCE SO LOW? EVIDENCE FROM A HEALTH INSURANCE SCHEME IN INDIA

Insurance for the poor, called microinsurance, has recently drawn the attention of practitioners in developing countries. There are common problems among the various schemes: (1) low take-up rates, (2) high claim rates, and (3) low renewal rates. In the present paper, we investigate take-up decisions using household data collected in Karnataka, India, focusing on prospect theory, hyperbolic preference, and adverse selection. Prospect theory presumes that people behave in a risk-averse way when evaluating gains but in a risk-loving way when evaluating losses. Because insurance covers losses, the risk-loving attitude toward losses might explain the low take-up rates, and we find weak empirical support for this. Households with hyperbolic preference were more likely to purchase insurance, consistent with our theoretical prediction of demand for commitment. We also find some evidence on the existence of adverse selection: households with a higher ratio of sick members were more likely to purchase insurance.