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The purpose of this paper is to evaluate skilled labor demand determinants in Brazil, considering alternatives explanations: changes in relative wages, non-homothetic technology output growth and skill-biased technical change.

This study relies on a rich and unique matched employer-employee data set for manufacturing sector, from 1996 to 2003. The analysis considers a translog functional form labor demand system estimated using seemingly unrelated regression and instrumental variables to control for possible measurement errors and wages and output endogeneity.

The demand function estimates suggest that: labor demand underlying technology is non-homothetic, research and development investment is biased toward skilled workers, the non-homothetic technology is not skill biased so output changes contributed positively for skilled labor increase, relative wages played a significant role and international trade has little explanatory power explaining labor demand shifts.

This is the first paper that considers alternative explanations for the increase in the demand of skilled workers for manufacturing in Brazil simultaneously: changes in relative wages, output changes with non-homothetic technology, skill-biased technical change and, to a lesser extent, international trade. The study challenges current empirical evidence that considers trade and trade liberalization as the main factor explaining labor demand shifts.

This paper revisits the derivation and properties of the Allen-Uzawa and Morishima elasticities. Using a Swiss dataset, this paper empirically estimates various elasticities both in a dual and primal framework using a production theory open economy model and tests for linear homogenous technology. In addition to reporting elasticity at the mean, the standard practice in the literature, this paper also calculates nonparametric distribution of various elasticities. The paper aims to discuss these issues.

To assess the effect of price change on input, the paper estimates a translog cost function and to assess the effect of quantity change on price, the paper estimates the translog distance function using the data on Swiss economy. The paper estimates Allen-Uzawa and Morishima elasticity both under homogenous and non-homogenous technology using the Swiss dataset of one aggregate gross output and four inputs (resident labor, non-resident labor, imports, and capital) over 1950-1986. Elasticities are reported and compared at the mean as well as explored by looking at the range and nonparametric distribution.

This paper shows that constant returns to scale are easily rejected in this dataset and that the elasticities, both qualitatively and quantitatively, are very different under homogenous and non-homogenous technology. These elasticities can switch from complements to substitutes or vice versa when one moves away from the mean of the sample. The equality of the nonparametric elasticity distributions under homogenous vs non-homogenous technology is rejected in all cases except one.

This paper gives a clear derivation and interpretation of different elasticities as well as demonstrates using a dataset how to systematically go about empirically estimating these elasticities in a dual and primal framework. It shows that linear homogenous technology can be easily rejected and the elasticities, both quantitatively and qualitatively, are very different under homogenous and non-homogenous technology. This paper is also very valuable because it shows that the standard practice of reporting elasticity at the mean might not be adequate and there is a possibility that these elasticities can switch from complements to substitutes or vice versa when one moves away from the mean of the sample.

The purpose of this paper is to attempt to measure the performance of the Indian banking sector in terms of efficiency and productivity levels and their determinants during the post-reform period.

The present study is a novel attempt as it has used pooled data for a duration of 15 years (i.e. 1997/1998-2010/2011) from 59 selected banks for estimating the Hicks-Moorsteen (HM) total factor productivity (TFP) index.

Poor technical efficiency has experienced with scale efficiency change exerting dominant factors; whereas relatively better productivity growth has been experienced by the banks with major contributions from technical change components. The study found relatively underestimated efficiency and productivity levels by traditional data envelopment analysis-based Malmquist index. Additionally, the study brings into account the results for external and environmental determining factors contributing to the TFP growth.

Using HMTFP indices has helped to eliminate certain drawbacks of data envelopment and provided the more elaborative decomposition of productivity growth along with their components so as to have lucid and multidimensional insights about the performance of the Indian banking industry after the initiation of financial reforms.

The purpose of this paper is to assess how spatial heterogeneity and production diversification have affected the efficiency of households participating in the SLCP.

Based on household survey data collected from three sample counties in the Loess Plateau region, the paper analyzes how spatial heterogeneity and business diversification have affected the production efficiency of households participating in the SLCP. Using four-step bootstrap, input stochastic distance frontiers of multi-inputs and multi-outputs are developed simultaneously with a technical efficiency effects model in which participating in the SLCP is treated as an exogenous variable.

The household production in the three counties is constrained by land, labor, capital, and fixed inputs; thus, it is germane to using a multi-input and multi-output household production technology to evaluate the SLCP. However, the relative importance of each input and output, the productive diversification, and the technological structure are differentiated in the three counties; estimating the regression with pooled data appears to conceal the influences of local factors and blur the specific divergence, compared to running county-based, separate regressions.

The effects of the SLCP on farm household production are location dependent. It is necessary to include spatial heterogeneity within public policy evaluation. In addition to suggesting localized and differentiated schemes of subsidy, this implies that the government may provide means to facilitate different regions to make the economic transition.

This paper intends to make two contributions. First, the analysis will capture and explain the adjustments induced by the SLCP in off-farm and other activities for entire household production, and special attention is given to the diversification of household production outputs. Second, this analysis sheds new light to the significance of spatial differentiation in mediating the effectiveness of a public policy or program.

New business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&D as a strategy to invigorate innovation. R&D project portfolio selection is a complex and challenging task. Despite the management's efforts to implement the best project portfolio selection practices, many projects continue to fail or miss their target. The problem is that selecting R&D projects requires a deep understanding of strategic vision and technical capabilities. However, many decision-makers lack technological insight or strategic vision. This article aims to provide a method to capitalize on the expertise of R&D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&D projects with the organizational vision and mission.

This article proposes a new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps.

The proposed strategy plane helps decision-makers align R&D project portfolios with their strategies to combine a strategic view and numerical analysis in this research. The proposed strategy plane consists of four areas: Exploitation Zone, Challenge Zone, Desperation Zone and Discretion Zone. Mapping the project into this strategic plane would help decision-makers align their project portfolio according to the corporate perspectives.

The new approach combines the efficiency and uncertainty dimensions in portfolio selection into an integrated framework that: (i) provides a complete representation of the stochastic decision-making processes, (ii) models the endogenous uncertainty inherent in the project selection process and (iii) proposes a computationally practical and visually unique solution procedure for classifying desirable and undesirable R&D projects.

The purpose of this paper is to investigate the efficiency and productivity growth of the Iranian banking industry between 2003 and 2008, encompassing pre‐ and post‐2005‐reform years.

The study uses a new decomposition of the Hicks‐Moorsteen total factor productivity index developed by O'Donnell to analyse efficiency and productivity changes in a banking context. The advantage of this approach over the popular constant‐returns‐to‐scale Malmquist productivity index is that it is free from any assumptions concerning firms' optimising behaviour, the structure of markets, or returns to scale. The paper assumes that the production technology exhibits variable returns to scale.

The banking industry's technical efficiency level – which had improved between 2003 and 2006 – deteriorated after regulatory changes were introduced in Iran. The results obtained also show that during 2006‐2007, the industry's total factor productivity increased by 32 per cent. However, the industry experienced its highest negative scale efficiency rate of 38 per cent (ΔROSE=0.62) and its highest negative efficiency growth of 43 per cent (ΔEff=0.57) during this period. The industry also witnessed a strong drop in productivity in 2007‐2008. Overall, changes in the production possibility set and scale‐efficiency changes exerted dominant effects on productivity changes.

This study is the first to use a comprehensive decomposition of the Hicks‐Moorsteen TFP index to analyse efficiency and productivity changes in a banking context.

Against the background of the rapid increase of total imported food in China, China's imported high-quality food has increased more than low-quality ones, and China's imported food quality structure has continuously improved. It is a new issue that needs further examination.

Based on the assumption of non-homothetic preference, this paper apply the method provided by Eaton and Kortum (2002) in a new theoretical model and empirically analyzes the impact of per capita income on the quality structure of imported food by using SYS-GMM with firm import data from Chinese customs.

The study finds that income is a significant factor which affects the imported food quality structure in China. The higher the per capita income, the higher the imported food quality structure. Furthermore, per capita income has a significant positive impact on the imported food quality structure in different quality groups. The research confirms that China import more food with the highest quality as its per capita income increases.

Chinese policymaker needs to reconsider the role of food imports in improving food quality structure. The aim of the Chinese food industry's supply-side reform should be not only to remove excess capacity but also to produce high-quality products that meet the demand of discriminating consumers.

This paper constructs a new theme for imported food quality structure and investigates import food quality structure improvement from the perspective of demand by incorporating non-homothetic preferences. Another feature of this paper is that it conducts an empirical analysis with unique and highly disaggregated firm import data from Chinese customs to measure imported food quality, which is more refined than the national-product dimension data.

This paper aims to theoretically find out whether investments could close the formal-informal wage gap in India.

The paper builds a general equilibrium model of a developing economy with a large informal sector and a capital-intensive formal sector with sector-specific capital and incorporates endogenous demand.

With homothetic preferences, a small initial wage premium and elastic relative demand, investment in the formal sector is likely to close the wage gap, but the gap persists with non-homothetic preferences. However, investment in the informal sector is unlikely to close the wage gap with either type of preferences.

Though labour market distortions in developing economies leading to a formal-informal wage gap are well-documented in the development literature, little attention has been given to the question of whether such a gap would close over time.

The purpose of this paper is to explore how the processes of (de)industrialization and rural income distribution interact with each other and their implications for economic growth and welfare.

This paper takes a dynamic general-equilibrium and theoretical approach.

The author develops a dynamic general-equilibrium model to analytically characterize how (de) industrialization interacts with rural income distribution, and also explores the implications for aggregate GDP growth, the evolution of rural income distribution as well as welfare. Redistributive policies are shown to sometimes enhance GDP and welfare by boosting the production of the goods with high desirability (or productivity) but constrained by depressed demand due to income inequality, and internalizing the dynamic impact of private production and consumption decisions on future public productivities.

The research suggests that rural income distribution and (de)industrialization are intrinsically related, so policies or institutional distortions on one process would, in general, affect the other. Redistributive policies are shown to sometimes enhance GDP and welfare by enhancing industrialization.

The paper contributes to the literature of industrialization and structural change at large in several aspects. First, a key novel feature of our model is that the Engle’s law is captured by a quasi-linear utility function, which differs from the standard non-homothetic functions in this literature. Second, our paper contributes to the literature of structural change by showing how (de)industrialization works when sectorial productivity changes are endogenous. The paper also sheds light on the determination of rural income distribution and its evolution in the process of structural change and rural-urban migration.

Economic theories on structural change focus on factors such as fluctuations in relative prices and income growth. In addition, China’s reform and opening up has also been accompanied by increasing openness, significant fluctuations in investment rates, and frictions in the labor market. Existing literature lacks a unified theoretical framework to assess the relative importance of all these determinants. The paper aims to discuss these issues.

To incorporate all of the potential determinants of China’s structural change, the authors build a two-country four-sector neoclassical growth model that embeds the multi-sector Eaton and Kortum (2002) model of international trade, complete input-output structure, non-homothetic preference and labor market frictions. The authors decompose the sectoral employment shares into six effects: the Baumol, Engel, investment, international trade, factor intensity and labor market friction effects. Using the data of Chinese economy from 1978 to 2011, the authors perform a quantitative investigation of the six determinants’ effects through the decomposition approach and counterfactual exercises.

Low-income elasticity of demand, high labor intensity, and the existence of the switching costs are the reasons for the high employment share in the agricultural sector. Technological progress, investment and international trade have comparatively less influence on the proportion difference of employment in the three sectors.

Therefore, to examine the impact on China’s structural change, in addition to Baumol effect and the Engel effect, it is also necessary to consider the impact of three more factors: international trade, investment and switching costs. Therefore, the authors decompose the factors that may influence China’s structural change into the Baumol, Engel, investment, international trade, factor intensity effect and switching cost effects. The authors evaluate these six effects using the decomposition approach and counterfactual exercises.