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The purpose of this study is to analyze the environmental efficiency level and trend of the transportation sector in the upper–mid–downstream of the Yangtze River Economic Belt and the JingJinJi region in China and assess the effectiveness of policies for protecting the low-carbon environment.

This study uses the meta-frontier slack-based measure (SBM) approach to evaluate environmental efficiency, which targets and classifies specific regions into regional groups. First, this study employs the SBM with the undesirable outputs to construct the environmental efficiency measurement models of the four regions under the meta-frontier and group frontiers, respectively. Then, this study uses the technology gap ratio to evaluate the gap between the group frontier and the meta-frontier.

The analysis reveals several key findings: (1) the JingJinJi region and the downstream of the YEB had achieved the overall optimal production technology in transportation than the other two regions; (2) significant technology gaps in environmental efficiency were observed among these four regions in China; and (3) the downstream region of the YEB exhibited the lowest levels of energy consumption and excessive CO₂ emissions.

To evaluate the differences in environmental efficiency resulting from regions and technological gaps in transportation, this study employs the meta-frontier model, which overcomes the limitation of traditional environmental efficiency methods. Furthermore, in the practical, the study provides the advantage of observing the disparities in transportation efficiency performed by the Yangtze River Economic Belt and the Beijing–Tianjin–Hebei regions.

This paper aims to define the efficiency achieved by urban transport companies in Spain concerning the resources they use, considering the type of management used for implementation, public-private, and size.

This study consisted of an analysis of the efficiency of 229 public-private urban transport operators during the period 2012–2021 using Data Envelopment Analysis, the Malmquist Index and inference estimators to determine productivity, efficiency change into Pure Technical Efficiency Change (PTECH), and scale efficiency change.

Based on the efficiency analysis, the authors concluded that of the 229 companies studied, more than 35 were inefficient in all analysed periods. Considering the sample used, direct management is considered significantly more efficient. It cannot be concluded that the size of these companies influences their efficiency, as the data show unequal development behaviours in the studied years.

This study provides arguments on whether there is a significant difference between the two types of management in the urban transport sector. It also includes firm size as a study variable, which has not been previously considered in other studies related to urban transport efficiency. Efficiency should be a crucial factor in determining funding allocation in this sector, as it encourages operators to optimize and improve their services.

Seam efficiency plays an important role for obtaining a desired seam quality. Therefore, this issue is often referred in research papers. The purpose of this paper is to determine the seam strength and efficiency as well as examining, if and how such factors as: a kind of fabric, kind of thread, kind of seam and the stitch density influence the transverse seam strength and the seam efficiency.

For research four types of polyester/wool fabrics having different structural parameters and two types of polyester sewing threads were used. Three types of seam were made. The fabric samples were sewn using lockstitch with three different stitch densities. Obtained in this way seams were tested on the tensile machine. The influence of individual factors on the seam strength and its efficiency was assessed statistically using a multivariate variance analysis (ANOVA).

The findings of this study revealed that the independent variable – stitch density affect significantly of the seam strength as well as its efficiency. Seam strength and seam efficiency values increase with the increase stitch density. Moreover, the variance analysis showed that a kind of fabric also is a statistically significant factor for the seam efficiency and its strength. Furthermore, in the case of seam efficiency it is also important to the stitch direction. However, the study did not show an impact of kind of thread and kind of seam on dependent variables: the seam strength and its efficiency.

Due to the fact that this paper focuses on the seams made only on wool/polyester fabrics with two the most popular weaves, involving only two sewing PES threads, the conclusions presented in this paper are valid only to this assortment and cannot be generalized.

So far, it has not been taken research on the effect of seams with the different number of sewn layers on the seam strength and efficiency. This issue has been taken in this work.

The purpose of this paper is to review and evaluate energy use and performance, as well as existing energy efficiency policy and measures in the Latvian industrial sector, in order to highlight possible scenarios for energy efficiency improvements in the future.

The paper takes the form of a literature review and data analysis.

It is concluded that the existing energy efficiency measures for the industrial sector in Latvia do not work effectively. Also, it is expected that the planned measures for energy efficiency improvements for the industrial sector will not reach the defined energy saving targets in the framework of the Latvian NEEAP. Therefore, it is necessary to develop a common strategy on energy efficiency in the industrial sector in Latvia. This should be accomplished by reviewing the existing literature and data, as well as drawing up new, well‐designed energy efficiency measures.

The results of this study can be applied and used in the development of energy efficiency policy for the industrial sector in Latvia. The paper also points out the main weak points of existing policy measures that can be improved in order to meet the energy saving target for the Latvian industrial sector.

In this paper, the Latvian industrial sector's energy efficiency policy and related measures have been organized and evaluated for the first time. Also, the importance of energy efficiency improvements in the industrial sector has been highlighted. This is evident from the fact that, currently, almost no energy efficiency measure for the industrial sector in Latvia works sufficiently.

The aim of this paper is to show current position of domestic airports and provide an improvement scheme through the comparative analysis of efficiency and social efficiency. We used SBM (Slack Based Measure) for efficiency and undesirable output model that is extended from SBM for social efficiency. In addition, window analysis is used for analyzing the trend of the values. For the scope of this study, we analyzed fourteen airports in Korea from 2004 to 2009. In the models, we considered the length of runway, the number of employees and terminal area as input factors, and the number of passengers, the amount of cargo and the number of flights as desirable outputs and directly controllable CO2 emissions from airports as undesirable output. The results show that all of the efficiencies are higher than the social efficiencies and both of them are decreasing by years. To improve social efficiency in 2009, the average amounts of reduced CO2 emissions which account for 48.3% of the total emissions are required.

The purpose of this paper is twofold. The first and the most important is to examine the efficiency of Islamic banks relative to conventional banks operating in North African Arab countries, in terms of cost and revenue efficiency. The second objective is to assess more evidence regarding the banking system efficiency trend and dynamics in each single country, and to compare such trends among countries included in the study.

The non‐parametric data envelopment analysis (DEA) was used to estimate cost and revenue efficiency scores assuming variable returns to scale (VRS). The sample consists of nine Islamic banks and 11 conventional banks.

The results indicated that Islamic banks achieved higher average revenue efficiency scores over conventional banks in this region, while the growth rate of revenue efficiency score of Islamic bank was less than conventional banks. In terms of cost efficiency, the results varied from country to another. The results also showed that both groups of banks were close to each other, with an advantage to conventional banks, which suffer less cost efficiency loss over time compared to Islamic banks.

The very limited data sources (banks' web sites) was was the main limitation faced during preparing for this research. Another limitation was the non‐regularity of annual reports.

Islamic banks are highly challenged in finding investment opportunities/avenues that comply with Islamic regulations, unlike conventional banks that can invest in fixed income securities. There is a serious need for some countries to deregulate their banking systems more, in order to enhance the compatibility and the efficiency of their banking, such as the case of Sudan.

Given the previously mentioned difficulties, decent data set were collected. The value of this paper is the use of nonparametric DEA to analyse cost and revenue efficiences in the countries of this region.

This paper proposes a scheme to estimate the technical efficiency at child care centers for the less‐than‐three‐year‐old infants by Data Envelopment Analysis (DEA) and to manage the quality of care service through implementing flexible and efficient government subsidy system. The result of technical efficiency estimation shows that there exists the heterogeneity in technical efficiency a substantial opportunity for improvement in technical efficiency across child care centers. This result implies that government may bring up the competition by giving subsidy differentially based on efficiency and use the money which has been used inefficiently other purposes. Both can improve the quality of child care service.

The purpose of this paper is to get hold of the main influence factors of the investment efficiency of environmental governance and control them to improve its efficiency sensitively and employ full use of the investment of environmental governance.

The assessment index system of the investment efficiency of environmental governance is built. Its investment efficiency is assessed based on data envelopment analysis (DEA). The influence degree on the efficiency between each assessment index is calculated by the grey incidence degree analysis method to find the key influence factors. The efficiency of the investment in the environmental governance can be improved by managing and controlling the key factors.

The results prove that it is available by the data of 14 cities in Shandong Province in 2008. The key influence factors of the investment efficiency of the environmental governance are: total investment in the treatment of environmental pollution (F₁); industrial soot removal (F₃); industrial wastewater meeting discharge standards (F₂); and the volume of garbage disposal (F₉).

The method exposed in the paper can be used to solve investment efficiency problem of the environmental governance of the other provinces, or other years and even other countries.

The paper succeeds in solving investment efficiency problem of the environmental governance by DEA and grey incidence degree analysis method.

There is a great interest from the European Union in measuring the efficiency of energy use in households, and this is an area where EDP has done research in both data collection and methodology. This paper reports on a survey of electric energy use in Portuguese households, and reviews and extends the analysis of how efficiently households use electrical energy. The purpose of this paper is to evaluate household electrical energy efficiency in different regions using econometric analysis of the survey data. In addition, the same methodology was applied to a time-series data set, to evaluate recent developments in energy efficiency.

The paper describes the application to Portuguese households of a new approach to evaluate energy efficiency, developed by Filippini and Hunt (2011, 2012) in which an econometric energy demand model was estimated to control for exogenous variables determining energy demand. The variation in energy efficiency over time and space could then be estimated by applying econometric efficiency analysis to determine the variation in energy efficiency.

The results obtained allowed the identification of priority regions and consumer bands to reduce inefficiency in electricity consumption. The time-series data set shows that the expected electricity savings from the efficiency measures recently introduced by official authorities were fully realized.

This approach gives some guidance on how to introduce electricity saving measures in a more cost effective way.

This paper outlines a new procedure for developing useful tools for modelling energy efficiency.

Crane plays a very important role in national economy with greatly reduced labor intensity, improved production efficiency and promoted social development as an indispensable auxiliary tool and process equipment. Therefore, its energy consumption becomes an unavoidable topic and in fact, energy consumption of crane is very huge. It has been proved to be the most cost-effective way for reducing energy consumption to establish and implement new energy efficiency standard. Thus, it is necessary to analyze and evaluate the energy efficiency for overhead crane so as to propose a new energy efficiency standard. The paper aims to discuss these issues.

In this paper, four kinds of energy consumption sources of overhead crane is considered, based on which, an energy efficiency grading model for overhead crane based on BP neural network is proposed. Second, DS evidential theory is analyzed and based on it, an energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed. The evaluation procedure is discussed in detail. Then, a case is demonstrated how the evaluation is carried out.

If overhead cranes with different energy consumptions need to be graded according to energy efficiency, the criterions to establish the energy efficiency labels for overhead cranes is proposed in this paper.

The research results can provide energy efficiency standard proposal of overhead crane for relative departments to monitor the design, manufacturing and use of overhead crane.

An energy efficiency grading model for overhead crane based on BP neural network is proposed. An energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed.