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Data envelopment analysis (DEA) and window analysis are used to follow the changes in Australian trading banks' pure technical efficiency, scale efficiency, and the nature of returns to scale. The main findings indicate declining average efficiency scores until 1991, followed by a steady rise thereafter. Pure technical inefficiency emerges as a greater source of inefficiency than scale inefficiency. Overall, regional banks exhibit increasing returns to scale and major trading banks exhibit decreasing returns to scale. Also worthy of note is the mixed size of banks operating at optimal returns to scale.

Constant or decreasing returns and increasing returns to scale are two kinds of mechanism in economic growth. The goal of supply-side structural reform is to promote the establishment of the mechanism with increasing returns to scale. The paper aims to discuss this issue.

This paper argues that the overall economic structure of the developing economy has been divided into the sector of constant or decreasing returns to scale and the sector of increasing returns to scale due to the dual economic structure. Among them, the supply-side structural reform is mainly to reduce the sector of decreasing returns to scale and increase the sector of increasing returns to scale. Based on the hypothesis of such two-sector economic structure in the supply side of developing economies and on the industrial data, this paper empirically tests the returns to scale of China’s supply structure. The result suggests that so far the sector of constant or decreasing returns to scale dominates the supply structure of China’s economic growth, which results in the state of decreasing returns to scale in China’s overall economy.

Therefore, to realize the long-term sustained growth and transformation of the development pattern of China’s economy, the authors must carry out the supply-side structural reform, vigorously develop the modern industrial sectors characterized by modern knowledge and technology, and promote the development of an innovation-driven economy.

Besides, the authors must accelerate the transformation from traditional industrial sectors to modern industrial sectors, actively promote China’s industrial structure toward rationalization and high gradation, as well as build a modern industrial system so as to facilitate the formation of the mechanism of increasing returns to scale and accelerate the transformation of the driving force of China’s economic growth.

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.

Recent studies on the welfare implications of internationally mobile capital for a country employing commercial policy have been restricted to constant‐returns‐to‐scale (CRS) production models. It is generally concluded that the pursuit of such policies is welfare‐decreasing under CRS conditions. The analysis to encompass variable‐returns‐to‐scale (VRS) is generalised and it is shown that there is an optimal (second best) combination of import tariff and foreign capital subsidy that will not be “immiserising” for an increasing‐returns‐to‐scale (IRS) industry.

The purpose of this paper is twofold: to investigate the existence of different degrees of returns to scale in low-tech and high-tech manufacturing industries; and to examine whether the degrees of returns to scale change through time.

The empirical investigation implemented in the paper uses data from the EU KLEMS Database, covering a sample of 12 manufacturing industries in 11 OECD countries over the period 1976-2006. The investigation employed two different estimation methods: instrumental variables and system GMM. The robustness of the results was assessed by employing two different specifications of Kaldor-Verdoorn’s Law, by using lags and five-year averages to smooth business-cycle fluctuations, and by dividing the sample into two time periods.

The results reported in the paper provide strong evidence in support of the hypothesis of substantial increasing returns to scale in manufacturing. The investigation suggests that high-tech manufacturing industries exhibit larger degrees of returns to scale than low-tech manufacturing industries. Finally, the analysis revealed also that the magnitude of the returns to scale in manufacturing have increased in the last decades, driven by increases in the magnitude of returns to scale observed in high-tech industries.

No previous work has assessed the hypothesis that increasing returns to scale vary according to the technological content of industries. Moreover, no previous work has used system GMM or data from EU KLEMS to test Kaldor-Verdoorn’s Law. Most importantly, the findings of the paper present new evidence on the degree of returns to scale in high-tech and low-tech manufacturing industries.

To examine whether Japanese commercial banks exhibited economies of scale and economies of density at the time when the mega‐merger wave in Japanese banking began in the late 1990s. Since this merger wave has not yielded efficiencies, this analysis aims to shed light on whether banks, at the start of the wave, had reason to believe that larger banks would be more efficient.

Using a modified version of the translog cost function, the analysis estimates economies of scale and economies of density for Japanese city banks, trust banks, and regional banks. Then, the relationship between size and economies of scale/density and that between profitability and scale/density are explored using regression analysis.

Results suggest that larger banks (as measured by value of assets/loans/ deposits/investments, and number of employees/branches) were more likely to be in the decreasing/constant returns to scale/density region than smaller banks, The finding was statistically significant for all three types of Japanese banks. On average, city banks exhibited diseconomies of scale/density; trust banks exhibited constant returns to scale and increasing returns to density, and regional banks exhibited increasing returns to scale and density. This suggests that unions between city banks and either regional banks or trust banks may have been more likely to yield cost‐efficiencies, and raises questions concerning the efficiency motivations of the mega‐bank mergers. The findings further indicate that banks with higher sales were more likely to have exploited scale/density efficiencies, and that banks with higher net incomes were more likely to be in the increasing returns region.

This paper suggests that the mega‐merger wave in Japan in the late 1990s may not have been motivated by a desire for greater efficiencies through utilization of under‐utilized branch networks. Unlike other studies, this analysis differentiates between economies of scale and economies of density.

The purpose of this paper is to investigate the role of market power and returns to scale in the determination of farm-value share.

This paper utilizes the equilibrium displacement model to investigate the role of market power and returns to scale in the determination of farm-value share. Contrary to the current literature, the paper incorporates oligopoly power, oligopsony power and non-constant return to scale into one generalized model, which systematically enables us investigate the impacts of market power on the determination and changes of farm-value share.

The results imply that market power as well as non-constant returns to scale is central to the understanding of farm-value share. These, in turn, indicate that ignoring the impacts of market power and degree of return to scale may overestimate or underestimate the impacts of exogenous shocks on changes in farm-value share.

Thus, to the best of the authors’ knowledge, no literature has examined the co-existence of oligopsony power, oligopoly power as well as non-constant return to scale in farm-value share determination. This paper therefore tries to fill this gap.

Nicholas Georgescu‐Roegen’s analysis of the factory system is used to show how an expanded market makes possible increasing returns in manufacturing, which can in turn lead to the kind of cumulative growth process envisioned by Allyn Young. The analysis is then extended to take into account Nicholas Kaldor’s admonition to pay attention to the fact that manufacturing is a process that uses inputs that are the products of nature. It is found that the inability to use the factory system in agriculture limits the extent of increasing returns in manufacturing. Increasing returns in manufacturing and an accompanying pattern of cumulative growth require a continuing infusion of exogenous technological innovation in agriculture.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This chapter examines the main methodological issues involved in the comprehension of the cost structure of the airport industry and suggests considerations for future airport cost analyses. Such understanding has become a crucial concern for policy makers, regional planners, and managers in order to deal with optimal market design (e.g., regulation and market configuration) and airport strategies (e.g., pricing, investments, and alliances). An in-depth analysis of the economics of cost functions is presented, together with a description of the relevant multi-output cost economies measures (average incremental costs, scale and scope economies, and cost complementarities). We also discuss the assumptions underlying estimates of total versus variable cost functions and the importance of estimating a sufficiently flexible functional form. Moreover, we provide a critical survey of the international empirical literature on the cost structure of the airport industry, which highlights how econometric estimates strongly depend on the sample choice and the empirical model considered. Indeed, while econometric studies on international samples based on long-run cost function estimates show that long-run scale economies are never exhausted, single country studies mostly estimate variable cost functions and find lower values for scale economies at median sample points that tend to decrease with size. We discuss why we believe that studies based on the estimation of short-run variable cost functions offer more reliable results, given the reasonable assumption of airport overcapitalization in the short run. We conclude our work by noting that underlying policy issues related to planning and regulation, as well as to the optimal market structure of the airport sector, need to take into account the role played by vertical relationships between airports and airlines.