Measuring efficiency in Australian Schools: A preliminary analysis

In this paper, we apply a public sector Data Envelopment Analysis model to estimate the efficiency of Australian primary and secondary schools. Standard microeconomic production theory showing the transformation of inputs into outputs is extended to allow nondiscretionary environmental variables characteristic of educational production. Failure to properly control for the socioeconomic environment leads to inappropriate comparisons and biased efficiency estimates. We employ a conditional estimator that does not allow a school with a better environment to serve as a benchmark for a school with a worse environment. The results suggest that Australian schools are moderately inefficient and that efficiency increases for the quintile of schools with the most favorable environment. Further, efficiency gains are realized with increasing enrollment.     

Environmental efficiency measurement and the materials balance condition

The materials balance condition is a fundamental adding up condition, which essentially says that: “what goes in must come out”. In this paper we argue that a number of the recently developed methods of incorporating pollution measures into standard productive efficiency models may be inconsistent with this fundamental condition. We propose an alternative method that involves the incorporation of the materials balance concept into the production model in a similar manner to which price information is normally incorporated. This produces a new environmental efficiency measure that can be decomposed into technical and allocative components, in a similar manner to the conventional cost efficiency decomposition. The approach is illustrated with the case of phosphorus emission on Belgian pig-finishing farms, using data envelopment analysis (DEA) methods. Our results indicate that a substantial proportion of nutrient pollution on these farms can be abated in a cost reducing manner.     

Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach

Industrial air pollution control recently becomes a major policy issue in China. Performnce evaluation can examine policy effectiveness and provide decesion support for industrial development. A regional industrial system in China contains production and abatement stages. Within this structure, the capacity of industrial waste gas treatment can be treated as a carry-over variable. More precisely, it is a desirable output of the abatement stage in the previous period but an input to the abatement stage in the current period. Using this framework, this study establishes a dynamic two-stage data envelopment analysis model to explore the efficiencies of regional industrial systems in China. This model provides measures of the overall, period, stage, and period stage efficiencies. Based on empirical data from 2007 to 2015, it is concluded that (1) the carry-over variable capacity of industrial waste gas treatment has significant influences on the operational efficiency scores of regional industrial systems, especially in the abatement stage; (2) there exist distinct geographic characteristics of inefficiencies in the regional industrial systems; (3) the average period efficiency of the abatement stage was lower than that of the production stage during China's 11th Five-Year Plan period (2006–2010); however, the reverse happens during the 12th Five-Year Plan period (2011–2015); and 4) industrial structure and economic development level are the key influencing factors of regional industrial efficiencies. This study entails important implications for policy makers in terms of industrial waste gas treatment and revelant contextual factors.     

Effective pollution control policy for China

China began enforcing a system of pollution levies in 1982. However, senior environmental officials expressed doubt that this system was improving the environment and, in 1996, they began to place greater reliance on mill closure as the penalty for poor environmental performance. Since then, managers have found means of subverting many of the intended mill closures, and this causes us to return to the question of the abatement efficiency and effectiveness of the levies. This paper uses production evidence from 34 papermills in two representative provinces to examine the abatement efficiency and effectiveness of the levies. The paper industry is an important industry for this question because it is the largest polluter of China’s rural environment. We use a distance function to determine individual output-based and revenue-based shadow prices for each mill during the years that the levies were the main environmental incentive. The output-based shadow prices for pollutants display no recognizable trends over time and they are very different for firms in different locations. The revenue-based shadow prices are widely variable between mills and locations as well. These findings indicate that the marginal opportunity costs of abatement were also widely divergent and that there was no trend toward improved abatement efficiency. The way to correct this is to improve the performance of the market—not to reject the market altogether as the more recent reliance on mill closures does. This observation suggests that a system of tradable permits would be an improvement on relatively less successful administrative measures such as forced mill closures.     

Target and technical efficiency in DEA: controlling for environmental characteristics

In this paper we propose a target efficiency DEA model that allows for the inclusion of environmental variables in a one stage model while maintaining a high degree of discrimination power. The model estimates the impact of managerial and environmental factors on efficiency simultaneously. A decomposition of the overall technical efficiency into two components, target efficiency and environmental efficiency, is derived. Estimation of target efficiency scores requires the solution of a single large non-linear optimization problem and provides both a joint estimation of target efficiency scores from all DMUs and an estimation of a common scalar expressing the environmental impact on efficiency for each environmental factor. We argue that if the indices on environmental conditions are constructed as the percentage of output with certain attributes present, then it is reasonable to let all reference DMUs characterized by a composed fraction lower than the fraction of output possessing the attribute of the evaluated DMU enter as potential dominators. It is shown that this requirement transforms the cone-ratio constraints on intensity variables in the BM-model (Banker and Morey 1986) into endogenous handicap functions on outputs. Furthermore, a priori information or general agreements on allowable handicap values can be incorporated into the model along the same lines as specifications of assurance regions in standard DEA.

Testing the Porter hypothesis: the effects of environmental investments on efficiency in Swedish industry

The main objective of this paper is to test the Porter hypothesis by assessing static and dynamic effects of environmental policy on productivity. According to the hypothesis, stringent environmental regulations have dynamic effects on firm performance, and these effects eventually generate profits that offset the adaptation costs. We extend previous analyses by using unique data on environmental protection investments in the Swedish manufacturing industry as a proxy for environmental stringency. These data enable us to separate environmental protection investments into pollution prevention and pollution control. This distinction is crucial since the hypothesis claims that it is investments in prevention that have positive dynamic effects on firm performance. To test the hypothesis, a stochastic production frontier model is estimated where firm inefficiency is a function of investments in environmental protection. In general, we find no support for the Porter hypothesis within the time frame of our study, indicating that environmental regulations lead to efficiency losses. This result is even stronger in the harshly regulated pulp and paper industry.     

Abatement R&D,market imperfections,and environmental policy in an endogenous growth model

We develop an endogenous growth model featuring environmental externalities, abatement R&D, and market imperfections. We compare the economic performances under three distinct regimes that encompass public abatement, private abatement without tax recycling, and private abatement with tax recycling. It is found that the benefit arising from private abatement will be larger if the degree of the firms’ monopoly power is greater. With a reasonably high degree of monopoly power, a mixed abatement policy by which the government recycles environmental tax revenues to subsidize the private abatement R&D is a plausible way of reaching the highest growth rate and welfare.     

A shadow distance function decomposition of the environmental Kuznets curve: comparing the South China Sea and the Caribbean

This study decomposes the environmental Kuznets curve for CO₂ into scale, composition and technique effects for a sample of countries in the South China Sea and Caribbean basins, regions at risk of increased exposure to extreme tropical weather and at different developmental stages. Effect variation with respect to population density and investment proportion of GDP show evidence of more effective abatement activities and more appropriate technology in the South China Sea economies. The countries with the highest levels of technical efficiency in the different regions also have the most equal distribution of income and the highest population densities.     

Environmental regulation,total factor productivity,and enterprise duration: Evidence from China

Environmental regulation has been confirmed to have an important impact on enterprise productivity, which is regarded as a crucial factor of enterprise duration. However, existing studies have paid little attention to how environmental regulation affects enterprise duration. Using firm‐level data from the Chinese Industrial Enterprises Database (2003–2007) and the stochastic frontier analysis method, we estimate enterprise total factor productivity (TFP) and its four decomposed components (scale efficiency change, technological change, factor allocation efficiency change, and technical efficiency change). Meanwhile, we adopt a comprehensive index to measure the environmental regulation intensity. Furthermore, we use the linear probability model and the proportional hazards model to investigate the effect of environmental regulation on enterprise duration through the mediating role of enterprise TFP. The results show that although environmental regulation per se negatively impacts on enterprise duration, environmental regulation can present a synthetic positive effect on enterprise duration due to its positive effect on enterprise TFP. Specifically, environmental regulation significantly mitigates the scale efficiency and technical efficiency of regulated enterprises. It also stimulates regulated enterprises' technological innovation and improves their factor allocation efficiency. In addition, state‐owned and large‐scale enterprises are more malleable when facing environmental regulations. We propose that the government should encourage enterprises to innovate and improve the allocation efficiency of production factors, so as to achieve the purpose of controlling environmental pollution in stages while extending enterprise duration.     

How does stakeholder engagement through environmental,social, and governance affect eco-efficiency and profitability efficiency? Zooming into Apple Inc.'s counterparts

As global ecological degradation intensifies, a trade-off has arisen between environmental protection and production efficiency to achieve sustainable development for the environment, society, and the company itself. However, the potential reverse causality relationship between environmental, social, and governance (ESG) and corporate efficiency may lead to confusion. This study estimates the eco-efficiency of Apple Incorporated's value-chain counterparts in the first stage and creates values and profitability in the second stage of efficiency evaluation. Results obtained from the (i) directional distance function in the two-stage data envelopment analysis (DEA), (ii) additive efficiency decomposition two-stage network DEA model, and (iii) network slacks-based measure model are consistent. That is, Apple counterparts manage more efficient eco-efficiency than profitability efficiency, implying that eco-efficiency is their competitive advantage. We thus also run a regression analysis to examine how the ESG ratings of Apple counterparts explain their eco-efficiency and profitability efficiency. Although the overall ESG rating positively explains the efficiencies, we found that the individual governance rating shows no statistically significant effect. The regression results provide insight for practitioners on the importance of investing in the three aspects of a firm's collective conscientiousness for societal and environmental governance. This paper integrates companies' eco-efficiency and profitability efficiency to resolve the conflict between environmental issues and production efficiency. It also analyzes in depth the effects of ESG and its three individual factors on eco-, profitability, and average efficiencies. The diversity of research methods also provides new ideas for future research related to firm efficiency.     

Reverse efficiency measures for environmental assessment in data envelopment analysis

Environmental issues are becoming more and more important in our everyday life. Data Envelopment Analysis (DEA) is a tool developed for measuring relative operational efficiency. DEA can also be employed to estimate environmental efficiency where undesirable outputs like greenhouse gases exist. The classical DEA method identifies best practices among a given empirical data set. In many situations, however, it is advantageous to determine the worst practices and perform efficiency evaluation by comparing DMUs with the full-inefficient frontier. This strategy requires that the conventional production possibility set is defined from a reverse perspective. In this paper, presence of both desirable and undesirable outputs is assumed and a methodological framework for performing an unbiased efficiency analysis is proposed. The reverse production possibility set is defined and new models are presented regarding the full-inefficient frontier. The operational, environmental and overall reverse efficiencies are studied. The important notion of weak disposability is discussed and the effects of this assumption on the proposed models are investigated. The capability of the proposed method is examined using data from a real-world application about paper production.     

Alternative efficiency measures for multiple-output production

This paper has two main purposes. Firstly, we develop various ways of defining efficiency in the case of multiple-output production. Our framework extends a previous model by allowing for nonseparability of inputs and outputs. We also specifically consider the case where some of the outputs are undesirable, such as pollutants. We investigate how these efficiency definitions relate to one another and to other approaches proposed in the literature. Secondly, we examine the behavior of these definitions in two examples of practically relevant size and complexity. One of these involves banking and the other agricultural data. Our main findings can be summarized as follows. For a given efficiency definition, efficiency rankings are found to be informative, despite the considerable uncertainty in the inference on efficiencies. It is, however, important for the researcher to select an efficiency concept appropriate to the particular issue under study, since different efficiency definitions can lead to quite different conclusions.     

Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia

This study estimates the technical efficiency measures of maize producing farm households in Ethiopia using stochastic frontier (SF) panel models that take different approaches to model firm heterogeneity. The efficiency measures are found to vary depending on how the estimation model treats both unobserved and observed firm heterogeneity. Estimates from the ‘true’ random effects (TRE) models that treat firm effects as heterogeneity are found to be identical to those from pooled SF models. Those results differ from the ones generated from the basic random effects (RE) models that treat firm effects as part of overall technical inefficiency. The more flexible generalised ‘true’ random effects (GTRE) model that splits the error term into firm effects, persistent inefficiency, transient inefficiency, and a random noise component indicates the presence of higher levels of persistent inefficiency than transient inefficiency. The basic truncated-normal RE model and heteroscedastic RE model yields similar efficiency estimates. The GTRE model predict persistent efficiency measures similar to those from the basic RE and flexible RE model with environmental variables incorporated in the variance function as well as in the deterministic production frontier. These results imply that the RE and GTRE panel models provide reliable efficiency estimates for our data compared to the TRE models. All the estimated SF models generate comparable production function parameters in terms of magnitude and sign. Overall, the results underscore the importance of scrutinising stochastic frontier models for their reliability of analytical results before drawing policy inferences.

     

Stability and efficiency from a Neo-Keynesian viewpoint

This paper raises once more the Keynesian challenge of the classical doctrine that an unguided market economy has a natural tendency towards optimal employment of resources. By means of a simple macromodel, we show that if quantity expectations are incorporated into the Walrasian model, then it is no longer generally true that the ‘invisible hand’ leads the economy to Walrasian equilibrium. Instead, it may lead the economy to a kind of Keynesian equilibrium in which the firms' sales expectations constitute a binding constraint on production. Moreover, while Pareto optimum is unstable and hence unattainable in our model, a ‘second-best’ optimum among stable equilibria exists and requires a public sector. Accordingly, a trade-off between efficiency and other policy aims occurs only at tax rates above the positive tax rate in optimum     

TAX REVENUE-FINANCED PUBLIC ABATEMENT AND WELFARE: A CONSUMPTION TAX CASE

This paper develops a model of public abatement financed either by a pollution tax or by a consumption tax. It shows that consumption tax revenue-financed public abatement raises welfare more than pollution tax revenue-financed public abatement does when the pollution tax rate rises. This result is worthwhile for environmental protection policy makers when they are determining the revenue source of public abatement.     

State-imposed solutions to negative externalities: employment impact of pollution abatement policy

Musgrave was acutely aware that many private activities, both consumption and production, generate negative externalities. Advocates for an active government rely on this concept to justify public sector regulation of private activities. Regulations and mandates, along with penalties for non-compliance, are the primary instruments used by government to bring about the “correct” level of output whenever private output gives rise to negative externalities such as environmental pollution. This study in effect offers a case study of the Clean Air Act on employment, i.e., it empirically investigates whether pollution abatement costs have had a negative impact on manufacturing employment in the U.S. Conventional microeconomic theory suggests that there is a trade-off between environmental protection outlays and manufacturing activity, i.e., higher pollution abatement compliance costs borne by industries may contribute to plant shutdowns, lower production levels and lay-offs, and/or lack of investment, thereby leading to diminished manufacturing employment. Existing studies fail to offer a clear conclusion as to the impact of existing environmental protection measures on manufacturing activity. Using state-level data for 2001, this study finds that government-imposed pollution abatement costs have had a statistically significant negative impact on manufacturing employment in the U.S. Richard J. Cebula, Shirley and Philip Solomons Eminent Scholar.     

End‐of‐pipe or cleaner production? An empirical comparison of environmental innovation decisions across OECD countries

While both fundamental types of abatement measure mitigate the adverse environmental impacts of production, cleaner production technologies are frequently more advantageous than end‐of‐pipe technologies for environmental and economic reasons. This paper analyzes a variety of factors that might enhance firms' propensity to implement cleaner production technologies instead of end‐of‐pipe technologies. On the basis of a unique facility‐level data set derived from a recent OECD survey, we find a clear dominance of cleaner production in seven OECD countries: 76.8% of the facilities report that they invest predominantly in cleaner production technologies, above all in new production processes, but not so much in new products. Based on a discrete choice model, our estimation results indicate that regulatory measures and the stringency of environmental policies are more important for end‐of‐pipe technologies, while cost savings, general management systems and specific environmental management tools tend to favor clean production. We conclude that improvements towards cleaner production may be reached by the continuous development and wider diffusion of these management tools. Improvements may also be stimulated by widening the cost gap between the two types of technology, for instance by additionally charging for waste and energy use. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.     

OPTIMIZING PRODUCTION IN THE GREEK ECONOMY: EXPLORING THE INTERACTION BETWEEN GREENHOUSE GAS EMISSIONS AND SOLID WASTE VIA INPUT–OUTPUT ANALYSIS

We explore an input–output based framework for optimizing production in the Greek economy, under constraints relating to energy use, final demand, greenhouse gas emissions and solid waste. Using empirical data, we consider the effects on the maximum attainable gross value of production when imposing various pollution abatement targets. Our results quantify those effects as well as the magnitude of economic sacrifices required to achieve environmental goals, in a series of policy scenarios of practical importance. Because air pollution and solid waste are not produced independently of one another, we identify the settings in which it is meaningful to institute a separate policy for mitigating each pollutant, versus those in which only one pollutant needs to be actively addressed. The scenarios considered here represent a range of options that could be available to policy makers, depending on the country's international commitments and the effects on economic and environmental variables.     

Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes

We consider Bayesian estimation of a stochastic production frontier with ordered categorical output, where the inefficiency error is assumed to follow an exponential distribution, and where output, conditional on the inefficiency error, is modelled as an ordered probit model. Gibbs sampling algorithms are provided for estimation with both cross-sectional and panel data, with panel data being our main focus. A Monte Carlo study and a comparison of results from an example where data are used in both continuous and categorical form supports the usefulness of the approach. New efficiency measures are suggested to overcome a lack-of-invariance problem suffered by traditional efficiency measures. Potential applications include health and happiness production, university research output, financial credit ratings, and agricultural output recorded in broad bands. In our application to individual health production we use data from an Australian panel survey to compute posterior densities for marginal effects, outcome probabilities, and a number of within-sample and out-of-sample efficiency measures.     

Reconciling the Porter hypothesis with the traditional paradigm about environmental regulation: a nonparametric approach

This paper estimates the impact of pollution abatement investments on the production technology of firms by pursuing two new directions. First, we take advantage of recent econometric developments in productivity, efficiency analysis and nonparametric kernel regression by adopting a conditional nonparametric frontier analysis. Second, we focus not only on the average effect but also search for potential nonlinearities. We provide new results suggesting that pollution abatement capital affects with a bell-shaped fashion technological catch-up (inefficiency distribution) and does not affect technological change (shifts in the frontier). These results have relevant implications both for modeling and for the purposes of advice on environmentally friendly policy.