A hierarchical model of the determinants of non-performing assets in banks: an ISM and MICMAC approach

The banking systems of emerging economies in general and India in particular are facing sustained impairment due to mounting non-performing assets (NPAs). In the absence of stringent policies and their implementation, the results will be detrimental and may eventually lead to an economic crisis. Thus, it is imperative to unearth the causal factors and mitigate the risks involved with rising NPAs. The study attempts to identify the determinants of NPAs from the existing literature and subsequently, explore the interlinkages between the identified factors. A model of these factors is developed using Interpretive Structural Modeling (ISM) and MICMAC approach. Key managerial insights were obtained by the suggested model, specific to the Indian context. The hierarchical model provides a clearer perspective about the relationship between the factors and suggests that economic conditions and political factors are the key drivers which impact the ownership pattern and adherence to the regulatory framework; these further impact the internal factors related to the banks and borrowers’ capacity to repay. The study will act as a scaffolding for policymakers and bankers. Based on these findings, better instruments and mechanisms for recovery/management of NPAs can be put in place.     

Dynamic Currency Linkages and Their Determinants: An Empirical Study for East Asian Economic Community Region

In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation.     

Information acquisition and full surplus extraction

It is well known that when agents' types are correlated, the mechanism designer can extract the entire surplus. This creates an incentive for agents to acquire information about other agents' types. Robust lotteries (are payment schemes that) support full extraction and partially robust lotteries support efficient implementation in the presence of information acquisition opportunities. Necessary and sufficient conditions for existence of robust and partially robust lotteries are derived. If an agent's information signal spans other agents' types then robust lotteries do not exist. However, if all agents report their signal realizations then robust lotteries exist in an extended type space.     

Gender and labor retrenchment in Chinese state owned enterprises: Investigation using firm-level panel data

In the late 1990s, China's state-owned enterprises (SOEs) underwent dramatic labor retrenchment, drawing considerable attention to how women fared relative to men during the retrenchment process. However, almost all the existing studies on the subject rely on individual-level data. In this paper, we study the gender patterns of SOE labor retrenchment using a unique enterprise-level dataset for the period from 1995 to 2001. We find that disproportionately large share of discharge was borne by female workers and that female discharge rates were more sensitive to output growth than male discharge rates. Further, estimating dynamic labor demand equations by gender, we find that female employment was more sensitive to negative output shocks experienced by enterprises than male employment but less sensitive to positive output shocks. Further, we find that sensitivity of female employment to output was greater for reformed than non-reformed enterprises and for male-intensive than female-intensive sectors. These results provide new insights into the gender patterns of employment adjustment of Chinese SOEs to output shocks during the retrenchment period.     

Why Developing Countries Have Failed to Increase Their Exports of Agricultural Processed Products

The article uses the case study of coffee, tea and cocoa to analyse whether tariff escalation constitutes a barrier to market access that thwarts diversification efforts of developing countries into exports of value‐added agricultural processed products. It also examines the extent to which non‐tariff barriers act as market access barriers that constrain developing countries from developing their exports of agricultural processed products. Our analysis shows that tariff escalation is not the main barrier; rather it is the prevalence of non‐tariff barriers (including domestic non‐tariff barriers) that limits the ability of developing countries to increase their agricultural processed exports. This has important policy implications in terms of the emphasis that trade negotiators and policy planners should place on addressing non‐tariff barriers.     

The Effect of Unions on Productivity Growth, Investment and Employment: A Report on some Recent Work

Using two British microeconomic data sets, this paper reports the following. (1) Union firms experienced faster productivity growth during 1980–4, but there was no difference in performance in 1975–9, or 1985–6. So unions do not necessarily reduce productivity growth. It is also unlikely that the above pattern can be explained by changes in union legislation. (2) Unionism appears to have no significant effect on in vestment, once one allows for the effects of differential productivity growth. (3) Wages in union and non-union firms are equally responsive to changes in the capital–labour ratio. (4) Contrary to what is often alleged, unionism per se does not reduce employment growth. Instead, the negative correlation observed in 1980–4 probably arises from a significant reform of working practices in unionized firms during 1980–4.     

DISCRIMINANT FUNCTION ANALYSIS OF SMALL FARMERS AND LANDLESS IN INDIA*

The small farmers and landless in India are faced with the vicious cycle of low incomes, low savings, low investment and uneconomic size of operational holdings and often are nonviable. Using data for the Haryana State of Northern India for 1977/78, the linear discriminant function was used to identify those factors which will make the majority of small farmers and landless in India a viable entity. Analysis of these data indicated that per hectare fertiliser use, area under high yielding crop varieties, operational size of holding and working capital are the factors which affect the viability of the small farmers and landless. As compared to the simple regression analysis discriminant function approach has been found an effective tool for discriminating the two social groups and for predicting the sponsored social change. However, the use of the discriminant function may be limited if the qualitative independent variable has more than two classes and its orderings are not in sequence.     

Opportunity is not everything

We experimentally investigate in village India how belief systems that hierarchize social groups affect the groups’ responses to economic opportunities. Earlier we found that making caste salient hurt low caste performance both absolutely and relative to the high caste's. To examine the possible role of mistrust, we manipulate the scope for discretion in rewarding performance. When offered a gamble in which success mechanically triggers rewards, making caste salient has no significant effect. Instead, it is in the case with scope for discretion that making caste salient creates a large caste gap in the proportion of subjects who refuse the gamble.