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This paper aims to investigate whether empirical evidence for scale economies can be found across countries and if so, whether this evidence varies across the stage of development.

The paper uses statistical methods to make comparisons between countries.

The empirical results suggest overall evidence towards aggregate increasing returns across all samples. Within the Cobb‐Douglas framework, stronger evidence for aggregate increasing returns is found among samples depicting economies in the early stages of development. The CES framework in turn supports aggregate scale economies for advanced economies, while unitary elasticity of substitution cannot be rejected for less developed economies, giving further support for the Cobb‐Douglas estimates.

Given that evidence for scale economies is found within different estimation frameworks for different groups of economies, comparative judgment is prevented. The results nevertheless provide evidence on the overall relevance of scale economies within and across groups of economies, while also giving a clear indication of the relevance of stage of development in economic growth and development analysis.

The most fundamental insight of the empirical results presented in this paper is that there is no reason to assume that the determinants of growth or the parameters guiding economies' adjustments towards their steady states or growth paths will be similar for economies at different stages of development, given their significant structural differences, whether in terms of production structures and characteristics or consumption patterns.

This paper aims to explore the use of the data envelopment analysis (DEA), Cobb-Douglas and translog production function methods in estimating contractors’ efficiency.

In this paper, the DEA, translog and Cobb-Douglas methods were used to estimate the technical efficiency of 23 contractors in Hong Kong from 2003 to 2009. For this research, four input and three output variables were identified.

The results suggest that the efficiency scores obtained from the DEA method were significantly different from those obtained from the translog and Cobb-Douglas methods, while the efficiency scores from the translog method were similar to those from the Cobb-Douglas method. The DEA method further reveals that the company had poor utilisation of its resources over the past few years. On the output side, the current ratio was too small, implying that the company suffered from excess current liabilities relative to its current assets.

Application of efficiency measurement in the built environment is still in its infancy. The current research, therefore, calls for more research to be undertaken to establish the applied literature base for the construction industry.

The DEA method helps the inefficient company explore ways to improve the utilisation of the inputs as well as the process and to maximise the outputs.

Knowing the relative performance of contractors helps understand their competitiveness in the construction industry. By estimating their technical efficiency, contractors can improve the conditions for enhancing performance.

The famous Uzawa (1961) balanced growth theorem has exercised a tyranny of sorts over macroeconomics for decades. It is the prime reason why researchers use Cobb–Douglas production functions and abstract from considering movements in factor shares. Others have had to recourse to complex explanations for long-run labor augmentation in technical progress. In this chapter, we discuss the issues arising from this problem and propose a way of achieving balanced growth with a short-run production function where the elasticity of factor substitution is less than one, and capital augmenting technology shocks can be permanent. We do so by allowing firms to choose the relative reliance on capital in the production technology and introducing a suitable modification of the production function. We also provide some model simulations in the context of a simple deterministic neoclassical growth model.

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.

This paper studies the profit efficiency of a sample of large U.S. commercial banks and explores how this performance varies with selected measures of bank risk reflecting aspects of credit risk, liquidity risk, and insolvency risk. We use a standard profit function and the stochastic frontier approach, and compare two standard functional forms – Cobb‐Douglas and translog – to assess the tradeoff between precision and parsimony. We find that profit efficiency is sensitive to credit risk and insolvency risk but not to liquidity risk or to the mix of loan products.

This paper aims to investigate the production function of firms based on the use of intellectual capital. The authors come up with this problem since believe that the new economy conditions require an adjustment and a development of classical firm theory.

The research question addressed in this study is mainly related to the empirical validation of the function based on companies' intangibles in the Cobb-Douglas framework. This model enables the authors to advocate the idea of the complementarity of intellectual resources as well as simplifies the analysis of intellectual capital features. To accomplish the purpose of the research, the authors design a log-linear model and estimate it on a sample of more than 400 European and American companies.

Application of Cobb-Douglas framework allowed designing a production function based on intellectual capital. The complementarity of intellectual capital components is justified on the empirical results obtained in this research. The increasing return to scale for intellectual capital was established for the sample examined in this study.

The main shortcoming of the approach implemented in this study is related to the proxy indicators of intellectual capital. Nevertheless, the authors statistically validate the chosen indicators applying hedonic approach.

Practical accomplishment of this research is mainly associated with the conclusion about an increasing return to scale of intellectual capital. This phenomenon appears to be of a particular importance for investment decisions.

The findings of this paper provide a new insight into intellectual resources interrelation that enhances companies' value creation. The authors also hope to assist future research attempts in application of the theory of company's growth driven by its intangible capital.

The article develops a model to interpret the 2010–2018 financial crisis in Greece, Portugal, Ireland, Spain and Cyprus, and the loan programs from the IL (International Lender; i.e. the European Union, the European Commission, and the International Monetary Fund).

For each country, an isoelastic utility with constant relative risk aversion is assumed. For the IL a Cobb Douglas utility is assumed with consumption, the GDP (Gross Domestic Product) to debt ratio, and market stability as inputs, accounting for time discounting. This article applies two methods to assess the empirics. The first method considers the IL's strategy as a whole over the 2010–2018 period. The second method assumes that the IL maximizes its utility in one period to determine its optimal loan, accounting for the empirics in that period, and the debt in the previous period.

For the first method, when the output elasticity in the IL's Cobb Douglas utility is high favoring consumption, the IL prefers offering a higher loan than its actual loan. Otherwise the IL prefers to offer no loan. The output elasticity at which the IL prefers to offer a loan is lowest for Greece, second lowest for Cyprus, third lowest for Portugal, and highest for Ireland and Spain. A high loan to Greece over a larger range of the output elasticity for Greece's consumption is supported by Greece being prioritized through the loan program. For the second method, the IL prefers to offer no loan to Greece which is too burdened with debt. Thus, the first method seems preferable, considering the entire duration of the crisis holistically.

The article offers a novel perspective of how to assess debt crises, enabling the IL to weigh various factors such as consumption, GDP, loan offered, and each country's debt to credit markets.

The main aim of this paper is to empirically test a model that has central government health expenditure and advancement in medical technology as two separate determinants of economic growth rates in the Pacific island countries (PICs).

The data used in this research have been collected from WHO and ADB database for the periods between 2000 and 2012. The model used to test the main research question is based on the variant Cobb-Douglas production function with constant returns to scale.

This research found that health expenditure has a significant impact on the economic growth rate of the PICs. This study also found that the contemporary level of usage of advanced medical technology in the PICs is relatively low as compared to the total population of the country. If the PICs need to achieve high levels of economic growth rates, governments of the PICs need to improve its expenditure in the health sector. Good and qualified doctors need to be hired and the medical education has to be made more competitive. Improvement in the health services in the PICs will reduce mortality, improve per capita health and improve the national economic welfare of Oceania region.

Data availability was the major limitation in this research. Data were available for only seven PICs.

This research has implications for the academics, practitioners, and policy makers.

The research findings from this research have implications for the society as it shows that health expenditure is positively related to economic growth rates.

In the context of the PICs, no studies have been conducted that have analysed the relationship between health expenditure, medical technology advancement and the economic growth rate of the PICs. This research seeks to build and extend the existing state of research on augmented Cobb-Douglas production function and health economics in the PICs.

An aggregate production function has been used in macroeconomic analysis for a long time, even though it seems that it is conceptually confusing and problematic. The purpose of this paper is to argue that the measurement problem related to the heterogenous capital input that exists in macroeconomics is also relevant to microeconomic market situations.

The author constructed a microeconomic market model to address both the problems of the measurement of the physical capital and of substitutability between labor and capital in the short run using two types of technologies: labor neutral and labor reducing. The author proposed that labor and physical capital inputs are complementary in the short run and can become substitutes only in the long run when the technology advances.

The author found that even if the technology improves at a fast rate over time, there are then diminishing returns of profits to technology and an upper limit to profits. Moreover, the author showed that under the labor-reducing technology, labor class earns more initially as technology improves, but their incomes start declining after some threshold level of passage of time.

The author cautioned the applied researcher that the estimated labor and capital coefficients of generalized Cobb–Douglas and constant elasticity of substitution of types of production functions could not be interpreted as partial elasticities of labor and capital if in reality the data come from fixed-proportions types of processes.