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In production economics, one of the most interesting questions is that of the causal relationship between technical efficiency and allocative efficiency. This as yet remains a puzzle without a unique answer. There are a few theoretical analyses conceptualizing the relationship, but consensus has not yet been reached, and empirical tests are rare. Presents the empirical results of applying Granger’s (1969) and Sims’ (1972) causality tests using time series data on technical and allocative efficiencies of random samples of Indian farmers. These causality tests, with respect to technical and allocative effciences show that there is unidirectional causality from technical efficiency to allocative efficiency, and that the causative process is not bidirectional.

The “war for talent” is not limited to developed economies but has become a common feature in emerging economies such as India. From the sociocultural perspective, India represents one of the oldest cultural heritages with distinct cultural values. The cultural difference may contribute to explain organizational practices toward talent retention. In the present chapter, the authors focus on the institutional, legal, and cultural context and highlight their uniqueness with respect to the Indian context. Within the institutional context, the authors found that prior to liberalization (which happened in 1990s), the Indian business scene was dominated by public firms or a small enclave of private firms. For both types of organization, turnover hardly mattered, and turnover was indeed negligible. Employees saw firms as “employers for life”: in such a context, voluntary turnover was extremely rare. Further, in the early legal context, it was hard for any private firm to “fire” an employee. Therefore, involuntary turnover was close to nil as well. Things began to change post-liberalization when the Indian scene was dominated by an influx of private players. The Indian mind too accepted turnover to be a part of the corporate life. In the present chapter, the authors provide a snapshot of what, why, and how of employee turnover in the Indian context. The authors specifically focus on what motivates employees to remain with the organization or why do they leave the organization. The authors close the chapter with insights relevant to both academicians and practitioners.

Like the cross-country convergence or divergence analysis in incomes to address the global phenomenon, the same analysis is also required to be done in the case of a group of states within a national territory. Further, it is also required to see whether convergence or divergence in incomes of the states is attributable to the convergence or divergence in their allocations of bank credits. Thus, this chapter aims at examining whether the selected major states in India are converging or diverging in the allocations of bank credit, and if so, what will be the magnitudes of decreases or increases in the level of disparities and inequalities in credit allocations. This study concludes that there is a clear diverging tendency of credit allocations of the states of India during the post-reform period so far as the absolute convergence hypothesis of the neoclassical theory is concerned. Further, in terms of the framework of σ convergence, the study observes that all phases of the Indian economy have produced converging paths of the inter-state credit allocations, and the path becomes diverging during the post-reform phase. Based on the quantifications of the magnitudes of disparities and inequalities in terms of CV, C4 concentration, HHI and Gini values, this study thus reveals that there are significant increases in the levels of disparities and inequalities in the allocations of credit to the states from the pre-reform to the post-reform phases. Therefore, the persistence of divergence in income or rising income inequality during the phase of the major reform program in India may be due to the persistence of divergence and rising inequality in the allocation of bank credit.

The economic value generated by a firm is determined by the efficient management of its resources within a given business environment. The Indian pharmaceutical industry is highly competitive and has attracted huge investments in research and development (R&D), including financing of biotechnological ventures, clinical trials, contract research activities in addition to traditional product development and filing of regulatory requirements. This study aims to identify the specific resources that are significant drivers of performance.

Data analysis uses panel regression based on an extended version of the Cobb-Douglas production function, where the dependent variable firm performance is measured using annual sales whilst the independent variables include labour, capital, R&D investments and marketing efforts. This study uses data spanning a period of 7 years (2012–2018) collected from 151 Indian pharmaceutical firms.

Contrary to the general understanding that R&D investments tend to create profitable opportunities, it is observed that R&D expenditures have a negative impact on sales in the short to medium time period. This study also highlights the finding that in addition to the positive impact of labour and capital, marketing efforts are more likely to have a greater positive influence on firm performance than R&D.

The uniqueness of the paper lies not only in the counterintuitive findings but also in the methodology used to capture the impact of the lagged effect of R&D investments on firm performance. Specifically, a regression model-based both on panel data and time-series averages is used to examine the said impact.

This paper aims to provide empirical evidence on technology convergence within economies of the European Union which is usable for determining the economic growth policy aimed at sustainable long‐run economic growth and the convergence of the development between EU‐member states.

Two different empirical procedures are applied by estimating the technology convergence within the European Union on Eurostat data set. The first is framework developed by Dowrick and Nguyen. The second one is the authors' original contribution to the methodology which is based on the frontier production functions.

Significant technology convergence is recognized between 15 old EU‐member states and eight new‐member states. However, the technology convergence has obviously not accelerated the convergence of gross domestic product per labor unit between exposed groups of economies. Technical inefficiency is recognized as the main source that impedes a spill‐over effect of technology convergence. Following this it is established that in the future more effort should be directed into elimination of technical inefficiency.

Presented findings can be used to arrange the economic policy measures aimed at accelerating technology development in case of European Union.

Introduction: Performance evaluations are a critical tool in evaluating tourism development of countries where the tourism industry provides a significant share of the GDP. One of the measures used in performance evaluation of the financial decision-making units is economic efficiency. Aim: This study aims at measuring tourism-related technical efficiency performance of six European countries: Spain, Greece, Turkey, France, Italy, and Portugal. Method: Tourism revenue and visitor numbers are referenced as output variables. Within the model, the natural and sociocultural index and substructure index were formed. Data envelopment analysis was applied for these datasets. Results: Considering tourism revenues, Spain, Italy and Greece managed to use their natural and cultural resources efficiently. In contrast to these countries, inefficiency level scores were measured for Turkey, Portugal and France. In the model based upon the number of visitors, all other countries apart from Turkey and Portugal achieved the most efficient score. As for substructure index, the score of decreasing returns to scale for the countries of Italy and Spain in terms of tourist numbers is noteworthy. Conclusion: The implementation of efficient tourism policies and strategies hold great importance in terms of tourism efficiency. Implications: Even though Portugal and Turkey are rich in both natural and cultural assets, low scores seem to stem from failure to realize their potentials. Strategies should be developed to diversify tourist products. Originality of the Paper: This study differs from other studies in the literature with regard to the composition of the wide input components.

Malaysia is one of the high performing economies (HPE) in Southeast Asia. It had experienced strong growth and development for the period between 1957 and 1995. Socioeconomic planning, structural and trade adjustments, and adoption of pragmatic policies that promoted agriculture as well as the manufacturing sub‐sector resulted in higher productivities, incomes and standards of living. Policymakers were also successful in adopting policies that mitigated poverty and, to a lesser extent, decreased income inequality.

This paper aims to undertake the efficiency analysis in the form of stochastic frontier to estimate a Cobb–Douglas production function by controlling for the heterogeneity across Russian firms by including firm size, ownership, age, innovation activity and market competition.

During the peak period of Covid-19, certain firms witnessed either a decrease or increase in sales. Using this segregation of firms from World Bank’s Covid-19 impact surveys follow-up to the Enterprise Survey for Russia, this study empirically investigates the determinants of technical efficiency of these firms focusing on the role of government assistance.

The findings suggest that by segregating firms in terms of sales, different internal factors can enable in steering through pandemic situation besides just depending on external assistance.

One of the few papers to analyse the impact of the pandemic on Russian firms by considering World Bank Covid Survey.

Deriving a measure of efficiency of public-funded organizations (primarily not-for-profit organizations) and ranking these efficiency measures have been major subjects of debate and discussion. The purpose of this paper is to evaluate the relative performances of public-funded research and development (R&D) organizations functioning across multiple countries working on similar research streams. The authors use multiple measures of inputs and outputs for this purpose.

The authors use the data envelopment analysis (DEA) as the primary methodology of analysis The keywords highlighting the major research areas in the field of non-metrology, conducted by National Physical Laboratory (NPL), India, were utilized to select the global comparators working on similar research streams. These global comparators were three R&D organizations located in the USA and one each located in Germany and Japan. The relative efficiencies of the organizations were assessed with the following output variables – external cash flow, and the numbers of technologies transferred, publications and patents; and the following input variables – amount of grants received from the parent body, and the number of scientific personnel working in these public R&D organizations. The authors follow the output-oriented measure of efficiency at constant return to scale and variable return to scale, along with scale efficiencies.

The performance of NPL, India under multiple dimensions has been evaluated relative to its global comparators – the National Institute for Materials Science, Japan; the National Renewable Energy Laboratory, USA; Fritz Haber Institute of the Max Planck Society, Germany; the National Centre for Atmospheric Research, USA; and the Oak Ridge National Laboratory, USA. The study indicates suggested measures and a set of targets to achieve the best possible performance for NPL and other R&D organizations. In most cases of efficient local but not so efficient global efficiency scores indicate that, on an average, the actual scale of production has diverged from the most productive scale size.

The approach highlights the utilization of the DEA methodology for relative R&D performance assessment of global comparators. The discriminatory analysis has brought into sharp focus the dichotomy between local efficiency and global efficiency scores of these units and issues of scale size and regional disparities. The outcome of this approach is dependent upon correct selection of input and output variables and data availability.

The study results have profound implications for the management of public R&D institutions across nations working on similar-focused research streams, but functioning within different societal, economic, and political contexts.

The present work, being perhaps one of the few multinational studies of relative performance assessment of pubic-funded R&D organizations working on similar research streams, signifies the relevance of such an approach in the field of R&D/innovation management. This has opened up new avenues for further research in this area.

This paper investigates the dynamic patterns of Vietnam’s comparative advantage in the context of ASEAN. Using the Galtonian regression method and the Markov transition probability matrices for data from 1997 to 2008, we find the following: Firstly, commodity groups with a weak comparative advantage improved their competitiveness, whereas those groups with a strong comparative advantage saw it decline, indicating a convergence of their comparative advantages. Secondly, in terms of intra-distribution dynamics, industries with no initial comparative advantage (Class a) and those with a strong initial comparative advantage (Class d) showed a high degree of persistence, suggesting a low degree of mobility in the trade patterns for Classes a and d. Thirdly, mineral resource-intensive products showed a high degree of export specialization, whereas other product categories showed a high degree of export diversification. Fourthly, all commodity groups showed a downward trend in the degree of specialization. Finally, Vietnam’s exports were dominated by unskilled labor-intensive products and agricultural resource-intensive products, reflecting the validity of Heckscher-Ohlin model. As a result of the country’s trade liberalization, the patterns of Vietnam’s comparative advantage have come to reflect its factor endowment. These results suggest that Vietnam could better diversify its export structures and shift to exports based on human capital and technology by further liberalizing its trade policies, fostering human capital formation, and facilitating the transfer of technology.