Search results

The pulp and paper industry has been the focus of government policies ever since independence. This is the only industry where government plays a multi-dimensional role – not only as the regulator but also as the supplier of raw material and as the buyer. Despite the government's omnipotent role, there is evidence that industry is not very competitive, as it has very high energy and water intensity and poor productivity. A potent factor identified in the literature for the underperformance of the industry or for that matter any economy is the kind of technology used by the firms in the sector. This paper aims to look into the role of government policy in affecting the growth of the industry and what role embodied technology has played in influencing the efficiency of firms in Indian pulp and paper industry.

For the first question, the study uses 66 years of production data of the industry from 1951 to 2016 and tests for the structural break. For the second question, the study uses cross-section plant-level data for the year 2011-2012 of 160 paper manufacturing units to first estimate the stochastic production frontier (stochastic frontier analysis [SFA]) and then uses the output of SFA to find an association between embodied technology gap (TG) and technical efficiency. A methodological problem in earlier literature is the use of the productivity gap as a proxy for embodied TG. The present study uses technical parameters of papermaking – machine deckle and operating speed – to construct an index of TG.

The results show a structural break in the production trend occurring in 1999 with the delicensing in July 1997 as the possible cause. The SFA results show that the average technical inefficiency (TE) of the firms in the sector is 74 per cent with half of the firms having TE higher than 76 per cent. The study, however, does not find any impact of embodied TG on technical efficiency; rather it is the age, size, ownership and location that have an impact on it.

This is an original research, as the author has not come across any study in Indian context or elsewhere using technical parameters to construct TG variable.

The purpose of this paper is to enhance our understanding of effects of International Clearing Unions on the exchange market pressure (EMP). Using Asian Clearing Union (ACU) as an example of a typical International Clearing Union, the authors infers that ACU has not been very successful in synchronizing the EMP in the region. Other countries that are not members of such clearing union but are interested in monetary cooperation with other countries should consider the behavior of their EMP indices before attempting any form of integration. The study also provides a generic methodology for using EMP as an indicator for predicting the feasibility of monetary cooperation across countries.

An EMP model using the median absolute deviation is derived to reflect the policy preferences of each country. The weights for change in foreign reserves and interest rate differential are derived using analytical models. The index is then applied to ACU as a case study using monthly data from 2006 to 2015 for Bhutan, Bangladesh, Nepal, India, Pakistan, Sri Lanka and Iran. The descriptive statistics are studied to find the possibility of short-run relationship between the exchange rates, foreign exchange reserves and interest rate differential. The longitudinal data set generated is checked for cointegration to evaluate the EMPs of the countries.

The study finds that the EMP of ACU members’ shows similarity only in short-term movement but have no cointegration of EMP indices indicating the absence of long-term relationship. The absence of long-term cointegration of EMP for ACU members also indicates that ICU membership may not necessarily lead to similarity in exchange rate policies that facilitate the formation of a currency union. Creation of an ICU is not a sufficient condition for the formation of a currency union. The study also finds that the sample countries have faced persistent depreciation pressures in the period. The preferred tool for the management of EMP is direct intervention by sale and purchase of foreign currency. Interest rate changes are found to have the most significant effect on EMP.

The EMP model limits itself only to the study of exchange rates, foreign reserves and interest rates. Exchange rate variation and policy responses there to are known to be driven by other factors such as speculation, political factors, autonomous capital flows and micro-level dynamics of exchange markets like order flows among others. The EMP model is a simplification of the market dynamics and does not look for associations on the account of these factors. The model is evaluated for only one ICU where member countries regulate exchange rates. The study of ICUs that comprises free float currencies and pegged currencies may yield different results.

Results indicate that the member of any ICU such as ACU cannot assume that its participation will serve as a foundation for creating higher forms of economic unions such as currency unions. In the absence of any long-term relationship between the EMP of countries, any attempt by these countries may cause the exchange rates to deviate further. This leads to the conclusion that the members of ACU should avoid any attempts to form currency unions or use a common currency for its settlement.

Various countries that are considering the formation of currency union or the use of a common currency peg may like to examine its feasibility using EMP as a tool. Using EMP, they may be able to derive short-term and long-term strategies for pursuing their objectives.

There are few other studies that use EMP as an index for measuring the feasibility of formation of a currency union among countries that are the member of an ICU. While earlier studies apply EMP to a group of countries, none attempt to modify the index to reflect the EMP that is likely to affect central bank policy action. Few studies have attempted to use EMP to study the feasibility of formation of a currency union in South Asia based on exchange rate markets itself.

This paper reports the findings of a major study examining the overlap among results retrieved by three major web search engines. The goal of the research was to: measure the overlap across three major web search engines on the first results page overlap (i.e. share the same results) and the differences across a wide range of user defined search terms; determine the differences in the first page of search results and their rankings (each web search engine's view of the most relevant content) across single‐source web search engines, including both sponsored and non‐sponsored results; and measure the degree to which a meta‐search web engine, such as Dogpile.com, provides searchers with the most highly ranked search results from three major single source web search engines.

The authors collected 10,316 random Dogpile.com queries and ran an overlap algorithm using the URL for each result by query. The overlap of first result page search for each query was then summarized across all 10,316 to determine the overall overlap metrics. For a given query, the URL of each result for each engine was retrieved from the database.

The percent of total results unique retrieved by only one of the three major web search engines was 85 percent, retrieved by two web search engines was 12 percent, and retrieved by all three web search engines was 3 percent. This small level of overlap reflects major differences in web search engines retrieval and ranking results.

This study provides an important contribution to the web research literature. The findings point to the value of meta‐search engines in web retrieval to overcome the biases of single search engines.

The results of this research can inform people and organizations that seek to use the web as part of their information seeking efforts, and the design of web search engines.

This research is a large investigation into web search engine overlap using real data from a major web meta‐search engine and single web search engines that sheds light on the uniqueness of top results retrieved by web search engines.

This chapter measures total factor productivity growth (TFPG) using Malmquist productivity index (MPI) and the growth of MPI of Indian Textile Industry employing nonparametric data envelopment analysis (DEA), during 1995–2016, exploring company (firm) level Center for Monitoring of Indian Economy (CMIE) Prowess data; examines whether TFPG has improved after the withdrawal of multifiber trade agreement (MFA) since 2005; decomposes TFPG into technical change (TC), technical efficiency change (TEC), and scale efficiency change (SEC); and explains the factors behind the movement of TFPG, considering the effect of R&D (RD), exports (EX), marketing expenditures (MKTs) advertisement expenditures (ADVs), imports (IMP), using second-stage panel regression. Empirical evidence supports fluctuating pattern of TFPG during 1995–2016, with a marginal declining tendency. TFPG has increased in 1999–2000, 2000–01, 2009–10, and 2012–13. After dismantling MFA, MPI level has significantly declined, with an increase in its growth rate, but the increase is not statistically significant. The effect of EX, RD, ADV are nonlinear, U-shaped, and IMP and MKT are inverted U-shaped, implying that the sign effect of any variable depends on its size. There are joint interaction effects of (a) RD and EX; RD and MKT which are positive, (b) ADV and MKT as represented by the ratio (ADV/MKT), having nonlinear inverted U-shaped relation. The joint interaction effect supports that the impact of one variable depends on the magnitude of other. The marginal effect of EX, IMP, and ADV are positive; increase in these variables promotes TFPG. The greater role of ADV over MKT is evident. The marginal effect of RD is negative; the average level of RD is too low to generate positive effects, and, thus, there is an urgency of increasing RD. The promising part of the decomposition analysis is that highest contribution to growth rate of TFPG is the growth rate of TEC followed by growth rate of TC, and thus by increasing TEC and TC, higher growth rate of TFPG is achieved and may be beneficial in the long run and may lead to absorption of economic shocks for an economy facing recession in its output growth. Some policy suggestions are made for boosting up TFPG.

Using panel data of 11324 firms in China from 1996 to 1999, the study finds that FDI tends to generate positive technology spillovers to domestic firms within the same industry, but adversely affect productivity of domestic firms in other industries. It is also found that both the positive and the adverse effects are more significant at the local than the national level. Evidence from China thus suggests that FDI technology spillovers are in favor of domestic firms within the same industry rather than domestic firms in other industries, and are most likely to affect domestic firms within the same locality. The finding has significant implications for the study of the interaction between MNEs and local firms in emerging markets.