The performance of German water utilities: a (semi)-parametric analysis

Germany's water supply industry is characterized by a multitude of utilities and widely diverging prices, possibly resulting from structural differences beyond the control of firms’ management, but also from inefficiencies. In this article, we use Data Envelopment Analysis and Stochastic Frontier Analysis to determine the utilities’ Technical Efficiency (TE) scores based on cross-sectional data from 373 public and private water utilities in 2006. We find large differences in TE scores even after accounting for significant structural variables like network density, share of groundwater usage and water losses.     

The influence analysis on public expenditure to the technique efficiency of China

In this paper, we use SFA to estimate the time-variant stochastic frontier model of 31 cities in China. The results tell us that raising the proportion of public expenditure in GDP can lower the technological efficiency, but raising some parts of public expenditure in GDP can promote the technological efficiency. Its realistic meaning is that it is excellent to turn the public expenditure structure to promote the technological efficiency. We computed the technological efficiency of 31 provinces/cities and the results show that the gap between the eastern region and western region is growing much. Finally, we decompose total factor productivity (TFP) and get the following result: from three regions, the biggest influence factor on technological efficiency is the scales economy. Technological progress and allocation efficiency have a smaller influence. From our results, we suggest that technological progress and allocation efficiency from public expenditure and income be raised to influence the TFP rate of change, and have a more efficient public expenditure. __________ Translated from Journal of Finance and Economics (财经研究), 2005, (12) (in Chinese)     

The Brazilian Soccer Championship: an efficiency analysis

This article analyses the top Brazilian football league from 2003 to 2011 by estimating a cost function and using a stochastic frontier model. Among the covariates, the number of fans per club and club remoteness is taken into account. The Brazilian clubs are then ranked according to their technical efficiency during the 2000–2011 period. Based on the results, the policy implication is presented, and the economic implications arising from the study are also considered.     

An analysis of the impact of unionization on efficiency: evidence from a meta-frontier analysis

This article examines the impact of unions on the efficiency of establishments in the manufacturing industry by comparing the results from two different empirical strategies: stochastic frontier analysis (SFA) and meta-frontier analysis (MFA). While SFA concludes that union establishments show higher technological efficiency, the results are the opposite when estimating production functions with MFA. In SFA, unionized establishments appear to be more efficient because they remain closer to their own production frontier; however, in MFA – where groups with heterogeneous technology can be compared – we find that nonunionized establishments are more efficient because they are closer to the meta-frontier than their unionized counterparts.     

Financing constraints and investment efficiency: evidence from a panel of Canadian forest firms

This article examines the financial constraint of 18 listed Canadian forest firms between 2000 and 2014 following the stochastic frontier approach. Empirical results support the observation that Canadian forest firms have a strong dependence of using both equity financing and debt financing as the coefficients of both equity and debt financing mean functions are significant at 1% level. The distribution of investment efficiency index (IEI) of all 18 firms demonstrates a loss of around 40% of the rate of investment due to financing constraints. Regional analysis demonstrates that the time-varying patters of IEI of three provinces are significantly different.     

Estimation of the efficiency of structural funds: a parametric and nonparametric approach

This article seeks to perform an analysis of the efficiency of the application of the structural funds in the regions classified as Objective 1 over the period 2000 to 2006, applying the techniques known as Data Envelopment Analysis (DEA) and stochastic frontier. In the first place, we are going to identify which are the most efficient regions. Finally, we will analyse the extent to which certain factors have repercussions on the efficiency such as country, geographical location and contribution of agriculture of Gross Domestic Product (GDP) and the result indicates that some of these variables have significantly influences of technical efficiency.     

The effects of agglomeration economies on technical efficiency of manufacturing firms: evidence from Indonesia

This article examines the effects of agglomeration economies and industrial structure upon firm-level technical efficiency in the Indonesian manufacturing industry over the period 2004–2009. A stochastic production frontier and three channels of agglomeration economies consisting of specialization, diversity and competition are used. The empirical results show that the effects of specialization and diversity upon firm-level technical efficiency are positive and negative, respectively, indicating that specialization is more favourable than diversity for stimulating firms’ technical efficiency. Competition has a positive sign, showing that region with high levels of competition tend to be more conducive in accelerating firm-level technical efficiency. In terms of firm location, both dummy for urban region and industrial complex turn out to be positive, indicating that firms located in both areas are experienced higher technical efficiency. Both firm size and age also have positive effect upon technical efficiency.     

Measurement of technical and allocative efficiencies using a CES cost frontier: a benchmarking study of Japanese transmission-distribution electricity

This paper estimates the technical and allocative inefficiencies of the transmission-distribution sector of Japanese electric utilities using a panel data during the 1981–1998 period. A stochastic production frontier of the CES form is jointly estimated with input demand equations. Taking advantage of the self-duality, we retrieve the cost frontier by which the impacts of technical and allocative inefficiencies on costs and input demands are measured. The estimated elasticity of substitution is significantly different from unity in favor of the CES specification over the Cobb–Douglas. The results show that observed costs are 9 to 48% higher than the efficient level; technical inefficiency raises costs by 1 to 28%, while allocative inefficiency does so by 8 to 30%. Although their impacts on costs are similar, technical inefficiency more fluctuates so the differences in the performance of utilities are mainly due to technical inefficiency. We also find a substantial over-utilization of capital for all utilities.

The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis

Despite measures on the European level to increase the compatibility between the higher education sectors, the recent literature exposes variations in their efficiencies. To gain insights into these differences, we split the efficiency term according to the two management levels each university is confronted with. We separate short-term and long-term efficiency while controlling for unobserved institution-specific heterogeneity. We argue that the first term reflects the efficiency of the individual universities working within the country, while the second term echoes the influence of the overall country-specific higher education structure. The cross-country comparison displays whether efficiency differences between countries are related to the individual performance of their universities or their higher education structure. This allows more purposeful policy recommendations and expands the literature regarding the efficiency of universities in a fundamental way. Choosing Italy and Germany as two important illustrative examples, we show that the Italian higher education sector exhibits a higher overall efficiency value. With the individual universities working at the upper bound of efficiency in both countries, the remaining inefficiency and the gap between the countries are caused by persistent, structural inefficiency. Future measures should hence aim at the country-specific structure and not solely at the activities of single universities.     

Mean-Gini analysis of stochastic externalities: The case of groundwater contamination

The mean-Gini approach is used to analyze stochastic externalities generated by agricultural production. The model addresses the problem of groundwater pollution caused by excessive fertilizer application. Inherent in the mean-Gini approach to expected utility maximization is a two-fold value: the simplicity of the two-parameter mean-variance model and satisfaction of necessary and sufficient conditions for stochastic dominance. Price and quantity policy recommendations to control externalities are formulated based upon the relative assessment of uncertainty by the regulatory authority and the farmers. Using the Gini as a measure of risk allows for the quantification of control policy measures under differentiated risk aversion and multiple sources of pollution. The model shows that when producers underestimate uncertainty, quota policies restricting fertilizer are more efficient than tax policies in reducing groundwater contamination.Work on this paper was carried out when visiting the University of Maryland. Financial aid for the work was provided by the USDA ERS-NRED under a cooperative agreement between the Department of Agricultural and Resource Economics, University of Maryland, and the USDA — Economic Research Service — Natural Resource Economics Division, I am grateful to John Miranowski and Darrell Hueth for that support. I am indebted as well to Lana Shalit, who helped me revise the paper.     

Productivity growth of newly industrializing economies in heterogeneous capital goods markets: the case of the Korean machinery and equipment industry

Although many previous studies have investigated the economic growth of East Asian countries from the perspective of productivity growth, they have adopted a limited focus only on the national level or on the aggregated level and have overlooked the heterogeneity at the disaggregated level. Furthermore, only a few studies have examined the sources of the remarkable growth and trade performance of the Korean machinery and equipment industry, despite its importance for sustainable growth of national economy. Therefore, we investigated the Total Factor Productivity Growth (TFPG) of the Korean machinery and equipment industry and its 12 sub-sectors from 1970 to 2012 using the stochastic frontier production approach. As a result, we found that the industry has achieved labour input-driven TFPG largely due to technical progress. This is contrary to the previous result that East Asia has expanded the production frontier by capital accumulation. In contrast, in some sub-sectors, scale effect and allocation efficiency have driven TFPG. We also found distinctive patterns of TFPG across different sub-sectors from the perspectives of the effect of input factors and the pattern of technical progress. These results imply that policy makers should consider industry-specific policy designs that incorporate the specific characteristics of individual sub-sectors.     

Oil consumption and economic efficiency: A comparative analysis of advanced, developing and emerging economies

This paper investigates the economic efficiency-oil consumption relationship in 42 countries during the period 1986-2006. In a first stage by using DEA window analysis countries' economic efficiencies are obtained. In a second stage an econometric analysis based on robust GMM estimators reveals an inverted ‘U’-shape relationship between oil consumption and economic efficiency. In order to capture heterogeneities among countries' development stages the analysis has been separated into two groups (advanced economies and developing/emerging economies). The results show that advanced economies have much higher turning points compared to emerging and developing economies. It appears that oil consumption increases countries' economic efficiency. In addition the consumption patterns of oil products and its derivatives have changed through years and among countries. The different turning points from the econometric analysis indicate the dependence of oil consumption in advanced economies (higher turning points) is driven mainly by household purchasing activities and their standards of living (transport, housing and water, food, etc.). Finally, it appears that oil consumption is the main driver behind the progress of industrialization and urbanization regardless of the country's development stage.     

Valuing recreational water clarity and quality: evidence from hedonic pricing models of lakeshore properties

This study extends the economics literature on the relationship between recreational water quality and residential property pricing by separately testing the relationships between both water clarity and quality and the price of lakeshore residential properties in Ontario, Canada. Our econometric approach includes objective measures of both attributes: Secchi disk readings for water clarity and phosphorus concentrations for water quality. Econometric results presented in this study suggest that a one-metre improvement in water clarity results in an 8 per cent residential property price premium, while a one standard deviation improvement in water quality boosts lakeshore residence prices by 32 per cent.     

The three Is of public schools: irrelevant inputs,insufficient resources and inefficiency

We examine the educational production function and efficiency of public school districts in Illinois. Using non-parametric kernel methods, we find that most traditional schooling inputs are irrelevant in determining test scores (even in a very general setting). Property tax caps are the only relevant factor that is related to districts’ financial constraints and have predominantly negative associations with test scores. Therefore, insufficient resources may be partially responsible for the lack of growth in test scores. For most other relevant inputs, we find substantial heterogeneity in the returns, which helps reconcile some of the puzzling results in the literature. We further find that there exist inefficiencies in school districts. Moreover, the level of test scores, commonly used as a measure of school effectiveness, (while related) differs substantially from our efficiency scores, and standard parametric approaches drastically underestimate school efficiency. We discuss the policy implications of our results.     

How enterprise strategies are related to innovation and productivity change: an empirical study of Japanese manufacturing firms

This study analyzes the total factor productivity of 1067 Japanese manufacturing firms. In production estimation, we employ the directional distance function and Luenberger productivity indicator. Research and development strategy survey data are used to analyze the determinant factors related to improvements in innovation and productivity. Our results indicate that increasing technology and knowledge through a ‘black box’ process is related to an increase in productivity. Furthermore, the protection and management of production knowledge and expertise is a valid method of increasing global technical change.     

An investigation into the interdependence of global water indices: a VAR analysis

We investigate the extent and manner of equity price interdependence among four water indices – World Water Index, S-Network Global Water index (S-Net), S&P Global Water Index (S&P) and MSCI ACWI Water Utilities Index (MSCI ACWI) using the vector autoregression (VAR) framework for the period 2004–2014. We also employ methods of Granger causalities, variance decomposition and impulse responses. We find Granger causality significance between S-Net and MSCI ACWI and S-Net and S&P indices at the 1% level of significance, suggesting that the indices are significantly linked. Further, S-Net is the most influential index amongst them in the forecast variance that can be accounted by S-Net at level of 55.75%. Our study indicates that the four water indices are interdependent and related, so the water indices are influenced by movements in the other water indices.     

Complementarity between water pricing, water rights and local water governance: A Bayesian analysis of choice behaviour of farmers in the Krishna river basin, India

To ensure efficient water allocation and use, policy designers have adopted various strategies, including price setting, decentralising irrigation water management or improving water rights. Most of these strategies have been applied individually, without considering the complementary relationships between them. This paper uses a discrete choice model to analyse the scope for combinations of tools for irrigation water demand management and farmers' acceptance of these. In terms of local irrigation water governance, the presence or absence of collective irrigation water management, in the form of a Water Users Association, is considered. Water rights are specified in terms of the duration and quality of the entitlement and its transferability. Finally, four types of water pricing methods (area, crop, block and volumetric pricing) are considered. Using a choice experiment, we elicit the most preferred water pricing method, under different water rights situations, at different price levels and under various contexts for local irrigation water governance. Our results indicated that under conditions of improved water rights, preference for volumetric pricing increases, whilst the presence of a Water Users Association reduces this preference. Furthermore, it was found that using an appropriate combination of water demand management tools considerably increases the willingness to pay for a change in scenario.     

Hydro-economic river basin modelling: The application of a holistic surface-groundwater model to assess opportunity costs of water use in Spain

Combined hydro-economic models of river basins are fundamental tools for assessing management and infrastructure strategies to improve the economic efficiency of water use in a context of competition over scarce water resources. Integrated hydro-economic models have to be capable to properly reproduce the physical behavior of the system, with a realistic representation of the different surface and groundwater resources, including their interaction, and the spatial and temporal variability of resource availability. On the other hand, such models must incorporate the value of water for different urban, agricultural and industrial uses and users. Economic values for water use are defined according to the marginal residual value of water for production (for agricultural and industrial uses) or the aggregated willingness-to-pay (WTP) for urban supply and other final water uses. In this paper, we present a systematic approach to estimate the marginal economic value of surface and groundwater resources at different locations within a complex water resources system. Based on a holistic conjunctive optimization model applied to the Adra river system in Spain we asses the total and marginal opportunity costs of capacity and operation constraints, including the opportunity cost of imposing environmental constraints on water use as foreseen in future Spanish water policy following the implementation of the European Water Framework Directive. The resulting opportunity costs provide important information to water managers about economic inefficiencies of current water allocation policy or infrastructure design, and about the resource opportunity costs to be considered in the design of efficient pricing policies in regions with water scarcity issues.     

A review on cost-effectiveness analysis of agri-environmental measures related to the EU WFD: Key issues, methods, and applications

The European Water Framework Directive (WFD) explicitly integrates economics into water management and water policy in Europe. Specifically, Article 11 and Annex III of the Directive call for a cost-effectiveness analysis (CEA) of alternative mitigation measures as a requirement in formulating Programme of Measures (PoMs) to achieve ‘good ecological status’ for all waters in Europe. As agriculture is supposed to be the major contributor to diffuse water pollution, CEA of agri-environmental measures has been given paramount importance in establishing the PoMs. This paper summarises the status, significance, and methodological limitations of WFD-related CEA studies in Europe. Cases from the United Kingdom, countries surrounding the Baltic Sea and central and southern Europe were included in the review. Review results indicate that most WFD-related CEA studies: (1) were based on models of ‘representative’ farms without capturing the variability among real-world farms; (2) concentrate on a single ecological effect of measures or are based on cost estimates of the sectors directly involved in the pollutant-reduction programme (i.e., co-benefits, trade-offs, and external costs were not examined); and (3) did not incorporate uncertainties in both cost and effectiveness estimates. Based on the review results, the paper suggests policy implications and recommendations for future research in the field.