Return and volatility spillovers between currency and bond markets in India

This paper examines the return and volatility spillovers between the foreign exchange and bond markets of India using a bivariate asymmetric BEKK-GARCH (1,1) model for the period 4 April 2005 to 31 March 2017. We find the evidence of bidirectional return and volatility spillovers with asymmetric effects between these two markets. The spillovers are evidenced even during the periods when foreign portfolio investments in the Indian bond markets were relatively low suggests the existence of strong inter-linkages between both the markets.     

Current account dynamics and capital mobility in the newly industrialized countries

This paper examines the current account dynamics in a group of ten newly industrialized countries (NICs) during the period 1980–2012 using a panel error-correction model. The model is also used to empirically test whether the degree of capital mobility is positively related to financial openness. The Chin-Ito (2006, 2008) financial openness index is used to classify the countries into different groups, and we place the countries in one group that are similar to each other in terms of their financial openness. Furthermore, to evaluate the extent of capital mobility over the different period from 1980 to 2012, the total period under study is divided into three sub-periods. The estimation results indicate that there exist long-run equilibrium relationships between domestic saving, investment, and current account in all groups regardless of their degree of financial openness. We find that more openness in terms of the capital account is associated with a higher degree of capital mobility in the case of NICs. The empirical result also indicates that the degree of capital mobility is higher in the first and third sub-period.     

Regional foreign direct investment and technology spillover: evidence across different clusters in India

This paper examines whether there exist productivity spillovers from foreign direct investment (FDI) to domestic firms at the regional level, using firm-level panel dataset covering 22 manufacturing industries in India from 2000 to 2012. In order to estimate the productivity spillovers from FDI at the regional level, we select 10 industrial clusters across 4 regions in India. In estimating productivity, we control for a possible simultaneity bias by using semi-parametric estimation techniques. We find that local firms benefit from horizontal and vertical FDI, but the benefits from the latter are found to be substantially stronger. The absorptive capacity of domestic firms is highly relevant to harvest the spilled technology from foreign-owned firms. Furthermore, we find that domestic firms belonging to high-technology industries benefit more from FDI at the regional level. We also find that market concentration is a crucial conduit for firm innovation, technological upgradation, and having a direct effect on local firm total factor productivity.     

India’s Potential Output Revisited

Estimates of potential output have been revised downward across countries in the post-crisis period. In India, the debate on potential GDP and output gap has been intensified in the wake of revision in the GDP estimates with change in base year as well as the underlying methodology consistent with international best practices. In light of these, an attempt has been made for the first time in India to estimate potential GDP and output gap on a quarterly basis by using production function approach in addition to revisiting the estimates of potential output by conventional statistical methods for the period 1980Q2–2015Q4. The findings suggest that India’s potential growth, which had accelerated to around 8 % during 2003–2008, decelerated considerably in the aftermath of the global financial crisis to about 7 % during 2009–2015, mainly due to decline in contribution of total factor productivity and deceleration in the growth of capital stocks. The estimates further suggest that output gap, i.e. the percentage deviation of actual output from its potential level, has been negative since Q3 of 2012, though the gap is closing slowly. Key to accelerate growth as well as potential output in India lies with higher level of capital formation as its contribution dominates vis-à-vis the contribution of labour and total factor productivity.

     

International Capital Mobility and Saving-Investment Relationship in the Newly Industrialized Countries

This paper investigates the Feldstein-Horioka coefficients and evaluates the degree of international capital mobility for ten newly industrialized countries (NICs) over the different sub-periods from 1970 to 2010. By applying the Pedroni and Westerlund cointegration tests, we find that saving and investment are indeed cointegrated. The estimated FH coefficients using FMOLS and DOLS are 0.24 and 0.33, respectively, for the period 1970–1980. Furthermore, the estimated FH coefficients reduce from 0.80 (FMOLS) in 1991–2000 to 0.36 (FMOLS) in 1970–1980. The small FH coefficients suggest that international capital mobility increased in the NICs during the sub-periods 1970–1980 and 2001–2010.     

Explaining the performance of state–community joint forest management in India

This paper seeks to identify and analyze the factors that explain differential outcomes of joint forest management (JFM) in the Indian state of Andhra Pradesh. Factors affecting the performances of JFM communities are analyzed using an ordered logit model. The results indicate that JFM communities are more likely to perform well when they are smaller in size and when forest resources in the JFM community are scarce. Presence of social capital and high value forests are also likely to promote good forest growth. Effective protection of forests is likely to contribute to the growth of forests. JFM communities that were initiated by NGOs are more likely to manage forests effectively than the one initiated by the Forest Department.     

Modelling safety of gantry crane operations using Petri nets

Being a powerful tool in modelling industrial and service operations, Petri net (PN) has been extremely used in different domains, but its application in safety study is limited. In this study, we model the gantry crane operations used for industrial activities using generalized stochastic PNs. The complete cycle of operations of the gantry crane is split into three parts namely inspection and loading, movement of load, and unloading of load. PN models are developed for all three parts and the whole system as well. The developed PN models have captured the safety issues through reachability tree. The hazardous states are identified and how they ultimately lead to some unwanted accidents is demonstrated. The possibility of falling of load and failure of hook, sling, attachment and hoist rope are identified. Possible suggestions based on the study are presented for redesign of the system. For example, mechanical stoppage of operations in case of loosely connected load, and warning system for use of wrong buttons is tested using modified models.     

COVID-19 Vaccination Effect on Stock Market and Death Rate in India

Asia-Pacific Financial Markets - The COVID-19 epidemic has brought attention to the vulnerability of new illnesses, and immunization remains a viable option for resuming normal life. This paper...