Explaining the Persistence of State-ownership in China

In the recent decade China witnessed an upsurge of privatization of small and medium state-owned enterprises (SOEs). In contrast to the consequent sharp reduction in the number of firms, however, the estimated share of broadly-defined SOEs that includes limited liabilities companies controlled by the State has shown virtually no sign of decline. We explain the backgrounds of this seemingly paradoxical persistence of state-ownership by looking into two distinctive types of large SOEs: traditional SOEs that remain dominant in oligopolistic industries and manager-controlled SOEs surviving in competitive industries. The two types exemplify several factors constraining further progress of SOE reform such as, financing the costs of restructuring, redefining the role of the State as the single dominant shareholder, and balancing the interests of the State and managers as entrepreneurs. Sorting these issues out will take time, which means that instabilities associated with state corporate ownership will remain in place in the foreseeable future in China.

India's senior citizen's policy and an examination of the life of senior citizens in North Delhi

The paper investigates the ageing situation in India and the development of the government initiatives for the welfare of senior citizens. It also presents the initial results of a survey that the author conducted in 2011 in North Delhi. The main features related to ageing in India are 'feminisation', 'rurality' and 'poverty'. The survey in North Delhi reveals the differences between the male and the female senior citizens, and the vulnerability of the latter, in particular. The social security coverage such as pensions and health insurance was found quite limited among the respondents.

The asset/liability structure of the Philippine banks and non-bank financial institutions in 2000s : a preliminary study for financial access analyses

Based on the consolidated statements data of the universal/commercial banks (UKbank) and non-bank financial institutions with quasi-banking licenses, this paper presents a keen necessity of obtaining data in detail on both sides (assets and liabilities) of their financial conditions and further analyses. Those would bring more adequate assessments on the Philippine financial system, especially with regard to each financial subsector's financing/lending preferences and behavior. The paper also presents a possibility that the skewed locational and operational distribution exists in the non-UKbank financial subsectors. It suggests there may be a significant deviation from the authorities' (the BSP, SEC and others) intended/anticipated financial system in the banking/non-bank financial institutions' real operations.

Inter-industry analysis and monetary policy evaluations in the Korean flow of funds accounts

This study mainly aims to provide an inter-industry analysis through the subdivision of various industries in flow of funds (FOF) accounts. Combined with the Financial Statement Analysis data from 2004 and 2005, the Korean FOF accounts are reconstructed to form "from-whom-to-whom" basis FOF tables, which are composed of 115 institutional sectors and correspond to tables and techniques of input–output (I–O) analysis. First, power of dispersion indices are obtained by applying the I–O analysis method. Most service and IT industries, construction, and light industries in manufacturing are included in the first quadrant group, whereas heavy and chemical industries are placed in the fourth quadrant since their power indices in the asset-oriented system are comparatively smaller than those of other institutional sectors. Second, investments and savings, which are induced by the central bank, are calculated for monetary policy evaluations. Industries are bifurcated into two groups to compare their features. The first group refers to industries whose power of dispersion in the asset-oriented system is greater than 1, whereas the second group indicates that their index is less than 1. We found that the net induced investments (NII)–total liabilities ratios of the first group show levels half those of the second group since the former's induced savings are obviously greater than the latter.