Innovation, ownership and profitability

This paper considers the relationship between innovation, ownership and profitability for a panel of manufacturing plants in Ireland and Northern Ireland. Previous literature suggests that innovators are persistently more profitable than non-innovators, but little is known about how this link is moderated by external versus domestic ownership. We consider the link between innovation and profits separately for indigenous innovators and non-innovators and externally-owned plants. We also consider the determinants of innovation over the distribution of plant-level profitability, and find that the determinants of profitability – including innovation and external ownership – vary over the distribution from low to high profitability plants. We find support for the view that innovators and non-innovators have different profitability determinants, and that the profitability of externally-owned plants depends on very different factors to those of indigenously-owned enterprises.

Profitability of a sample of Portuguese bank branches and its decomposition into technical and allocative components

The efficiency literature, both using parametric and non-parametric methods, has been focusing mainly on cost efficiency analysis rather than on profit efficiency. In for-profit organisations, however, the measurement of profit efficiency and its decomposition into technical and allocative efficiency is particularly relevant. In this paper a newly developed method is used to measure profit efficiency and to identify the sources of any shortfall in profitability (technical and/or allocative inefficiency). The method is applied to a set of Portuguese bank branches first assuming long run and then a short run profit maximisation objective. In the long run most of the scope for profit improvement of bank branches is by becoming more allocatively efficient. In the short run most of profit gain can be realised through higher technical efficiency. © 2003 Elsevier B.V. All rights reserved.

Innovation, ownership and profitability

There is lots of evidence that innovating firms are persistently more profitable than non-innovators, but little agreement on why this is the case. It may be because innovators are somehow able to protect their new products from the competition which normally erodes profits, or because innovating firms have superior capabilities and are able to introduce multiple innovations over time. And very little is known about the relationship between innovation, external ownership and profitability, despite the fact that foreign-owned firms are frequently highly innovative and very profitable. This paper considers the relationship between innovation, ownership and profitability for a panel of manufacturing plants in Ireland and Northern Ireland. We consider the link between innovation and profits separately for innovators and non-innovators, and for indigenous innovators and non-innovators and externally-owned plants. We also consider the determinants of innovation over the distribution of plant-level profitability, and find that the determinants of profitability – including innovation and external ownership – are quite different for low and high-profitability plants. We find support for the view that innovators and non-innovators have different profitability determinants, and that externally-owned plants have their profitability determined in a quite different way from indigenous enterprises. For indigenous non-innovators only the sector matters. Profitability in these enterprises is dictated largely by the industry they are in, with plants having virtually no means of differentiating their profitability from the norms of the industry. By contrast, indigenously-owned innovators are able to differentiate their profit performance from industry norms to some extent. Absolute size matters (negatively) and they get a strong boost from product innovation, but having a high market share does not matter for the profitability of indigenously-owned innovators. Externally-owned plants have a quite different set of profitability determinants from both of these groups. What matters for these plants is not the boost they get from innovating (there is none) but instead their position in the domestic market – a high market share boosts profitability. In policy terms our results suggest both optimistic and cautionary messages. On the positive side our results suggest that efforts to promote innovation activity among indigenously-owned plants are likely to have significant longer term benefits through their capability effects. For the development agencies in Ireland this is a reassuring result. On the more negative side, the lack of any relationship in our models between the innovation activities of externally-owned plants and their (profitability) performance raises potential concerns. This finding may reflect the lack of linkages between externally-owned plants and their Irish resource base, in turn raising some worrying issues about the ‘embeddedness’ of much FDI into Ireland and therefore its ‘stickiness’ in the face of Ireland’s increasing high relative cost base.

Regulatory price performance, excess cost indexes and profitability:how effective is price cap regulation in the water industry?

In this study we apply an index number approach to allow for cross sectional comparisons of relative profitability, productivity and price performance of the regulated Water and Sewerage companies (WaSCs) in England and Wales during the years 1991-2008. In order to better analyse the impact of regulation on WaSC performance, we decompose actual economic profits into spatial multilateral Fisher productivity (TFP) index, the inverse of which is demonstrated to be a regulatory excess cost index that measures the deviation of a firm’s actual costs from benchmark costs, and a newly developed regulatory total price performance (TPP) index, which measures the excess of regulated revenues relative to benchmark costs. Increases (decreases) in regulatory price performance are indicative of the loosening (tightening) of price cap regulation. Moreover, we also show that the relationship between actual economic profitability, regulatory excess costs and regulatory price performance indices can be used to categorize regulatory price caps as “weak”, “powerful” or “catch-up promoting”. The results indicated that throughout the entire 1991-2008 period, price caps were never “powerful”, in the sense that they required less productive firms to immediately and fully catch-up to the most productive firm to regain economic profitability. More specifically, during the years 1991-2000 price caps were “weak” as prices were high enough for the firms to achieve economic profits despite their low productivity levels. However, after 2001 prices became “catch up promoting” as they required less productive companies to eliminate at least some excess costs in order to eliminate economic losses. Finally, we emphasize that as our results also clearly demonstrated a much closer alignment between allowed revenues and benchmark costs after 2001, Ofwat’s approach during this period was not only appropriate, but should also be continued in the 2009 price review.

Reproducibility-repeatability of choroidal thickness calculation using optical coherence tomography

Purpose. To evaluate the repeatability and reproducibility of subfoveal choroidal thickness (CT) calculations performed manually using optical coherence tomography (OCT). Methods. The CT was imaged in vivo at each of two visits on 11 healthy volunteers (mean age, 35.72 ± 13.19 years) using the spectral domain OCT. CT was manually measured after applying ImageJ processing filters on 15 radial subfoveal scans. Each radial scan was spaced 12° from each other and contained 2500 A-scans. The coefficient of variability, coefficient of repeatability (CoR), coefficient of reproducibility, and intraclass correlation coefficient determined the reproducibility and repeatability of the calculation. Axial length (AL) and mean spherical equivalent refractive error were measured with the IOLMaster and an open view autorefractor to study their potential relationship with CT. Results. The within-visit and between-visit coefficient of variability, CoR, coefficient of reproducibility, and intraclass correlation coefficient were 0.80, 2.97% 2.44%, and 99%, respectively. The subfoveal CT correlated significantly with AL (R = -0.60, p = 0.05). Conclusions. The subfoveal CT could be measured manually in vivo using OCT and the readings obtained from the healthy subjects evaluated were repeatable and reproducible. It is proposed that OCT could be a useful instrument to perform in vivo assessment and monitoring of CT changes in retinal disease. The preliminary results suggest a negative correlation between subfoveal CT and AL in such a way that it decreases with increasing AL but not with refractive error.

Comparison of estimates and calculations of risk of coronary heart disease by doctors and nurses using different calculation tools in general practice: cross sectional study

OBJECTIVE: To assess the effect of using different risk calculation tools on how general practitioners and practice nurses evaluate the risk of coronary heart disease with clinical data routinely available in patients' records. DESIGN: Subjective estimates of the risk of coronary heart disease and results of four different methods of calculation of risk were compared with each other and a reference standard that had been calculated with the Framingham equation; calculations were based on a sample of patients' records, randomly selected from groups at risk of coronary heart disease. SETTING: General practices in central England. PARTICIPANTS: 18 general practitioners and 18 practice nurses. MAIN OUTCOME MEASURES: Agreement of results of risk estimation and risk calculation with reference calculation; agreement of general practitioners with practice nurses; sensitivity and specificity of the different methods of risk calculation to detect patients at high or low risk of coronary heart disease. RESULTS: Only a minority of patients' records contained all of the risk factors required for the formal calculation of the risk of coronary heart disease (concentrations of high density lipoprotein (HDL) cholesterol were present in only 21%). Agreement of risk calculations with the reference standard was moderate (kappa=0.33-0.65 for practice nurses and 0.33 to 0.65 for general practitioners, depending on calculation tool), showing a trend for underestimation of risk. Moderate agreement was seen between the risks calculated by general practitioners and practice nurses for the same patients (kappa=0.47 to 0.58). The British charts gave the most sensitive results for risk of coronary heart disease (practice nurses 79%, general practitioners 80%), and it also gave the most specific results for practice nurses (100%), whereas the Sheffield table was the most specific method for general practitioners (89%). CONCLUSIONS: Routine calculation of the risk of coronary heart disease in primary care is hampered by poor availability of data on risk factors. General practitioners and practice nurses are able to evaluate the risk of coronary heart disease with only moderate accuracy. Data about risk factors need to be collected systematically, to allow the use of the most appropriate calculation tools.

Theoretical evaluation of the cataract extraction-refraction-implantation techniques for intraocular lens power calculation

PURPOSE: To evaluate theoretically three previously published formulae that use intra-operative aphakic refractive error to calculate intraocular lens (IOL) power, not necessitating pre-operative biometry. The formulae are as follows: IOL power (D) = Aphakic refraction x 2.01 [Ianchulev et al., J. Cataract Refract. Surg.31 (2005) 1530]; IOL power (D) = Aphakic refraction x 1.75 [Mackool et al., J. Cataract Refract. Surg.32 (2006) 435]; IOL power (D) = 0.07x(2) + 1.27x + 1.22, where x = aphakic refraction [Leccisotti, Graefes Arch. Clin. Exp. Ophthalmol.246 (2008) 729]. METHODS: Gaussian first order calculations were used to determine the relationship between intra-operative aphakic refractive error and the IOL power required for emmetropia in a series of schematic eyes incorporating varying corneal powers, pre-operative crystalline lens powers, axial lengths and post-operative IOL positions. The three previously published formulae, based on empirical data, were then compared in terms of IOL power errors that arose in the same schematic eye variants. RESULTS: An inverse relationship exists between theoretical ratio and axial length. Corneal power and initial lens power have little effect on calculated ratios, whilst final IOL position has a significant impact. None of the three empirically derived formulae are universally accurate but each is able to predict IOL power precisely in certain theoretical scenarios. The formulae derived by Ianchulev et al. and Leccisotti are most accurate for posterior IOL positions, whereas the Mackool et al. formula is most reliable when the IOL is located more anteriorly. CONCLUSION: Final IOL position was found to be the chief determinant of IOL power errors. Although the A-constants of IOLs are known and may be accurate, a variety of factors can still influence the final IOL position and lead to undesirable refractive errors. Optimum results using these novel formulae would be achieved in myopic eyes.

Evaluating the impact of design decisions on the financial performance of manufacturing companies

Product design decisions can have a significant impact on the financial and operation performance of manufacturing companies. Therefore good analysis of the financial impact of design decisions is required if the profitability of the business is to be maximised. The product design process can be viewed as a chain of decisions which links decisions about the concept to decisions about the detail. The idea of decision chains can be extended to include the design and operation of the 'downstream' business processes which manufacture and support the product. These chains of decisions are not independent but are interrelated in a complex manner. To deal with the interdependencies requires a modelling approach which represents all the chains of decisions, to a level of detail not normally considered in the analysis of product design. The operational, control and financial elements of a manufacturing business constitute a dynamic system. These elements interact with each other and with external elements (i.e. customers and suppliers). Analysing the chain of decisions for such an environment requires the application of simulation techniques, not just to any one area of interest, but to the whole business i.e. an enterprise simulation. To investigate the capability and viability of enterprise simulation an experimental 'Whole Business Simulation' system has been developed. This system combines specialist simulation elements and standard operational applications software packages, to create a model that incorporates all the key elements of a manufacturing business, including its customers and suppliers. By means of a series of experiments, the performance of this system was compared with a range of existing analysis tools (i.e. DFX, capacity calculation, shop floor simulator, and business planner driven by a shop floor simulator).

Institutional reforms, productivity and profitability:from rents to competition?

This paper explores the divergent effects of institutional reforms on firm's productivity and profits. To assess this empirically, we investigate the impact of various components of economic liberalisation on the performance of firms from Central and Eastern European countries from 1998 to 2006. The impact of reforms on profitability vis-à-vis productivity differs, which we interpret as an indication that profitability is an ambiguous measure of performance: one needs to distinguish between unproductive rents and productivity-based quasi-rents. We find that competition-enhancing liberalisation measures have more impact on state owned firms as compared with domestic and foreign owned firms. © 2012 Association for Comparative Economic Studies.

Innovation, ownership and profitability

This paper considers the relationship between innovation, ownership and profitability for a panel of manufacturing plants in Ireland and Northern Ireland. Previous literature suggests that innovators are persistently more profitable than non-innovators, but little is known about how this link is moderated by external versus domestic ownership. We consider the link between innovation and profits separately for innovators and non-innovators, and for indigenous innovators and non-innovators and externally-owned plants. We also consider the determinants of innovation over the distribution of plant-level profitability, and find that the determinants of profitability – including innovation and external ownership – vary over the distribution from low to high profitability plants. We find support for the view that innovators and non-innovators have different profitability determinants, and that the profitability of externally-owned plants depends on very different factors to that of indigenously-owned enterprises.

Calculation of non-Gaussian statistics and bit error rate degradation due to pulse-to-pulse interaction

We develop a theoretical method to calculate jitter statistics of interacting solitons. Applying this approach, we have derived the non-Gaussian probability density function and calculated the bit-error rate as a function of noise level, initial separation and phase difference between solitons.