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Drawing on the systems theory and the natural resource-based view, the purpose of this paper is to advance an integrated resource efficiency view (IREV) and derive a composite “integrated resource efficiency index” (IRE-index) for assessing the environmental, economic, and social resource efficiencies of production economies.

Using sub-national input-output data, the IRE-index builds on the human development index (HDI) and the OECD green growth indicators by including functions for environmental resource efficiency, energy, and material productivity. The study uses multiple regressions to examine and compare the IRE-index of 40 countries, including 34 OECD nations. The study further compares the IRE-index to similar composite indicators such as the human sustainable development index (HSDI) and the ecological footprint.

The IRE-index reveals a discrepancy between social development and resource efficiency in many of the world’s wealthiest production economies. Findings also show that material productivity has been the key driver for observed improvements in IRE over time. The index is a robust macro-level methodology for assessing resource efficiency and sustainability, with implications for production operations in global supply chains.

The IREV and IRE-index both contribute towards advancing green supply chain management and sustainability, and country-level resource efficiency accounting and reporting. The IRE-index is a useful composite for capturing aggregate environmental, economic, and social resource efficiencies of production economies. The paper clearly outlines the managerial, academic, and policy implications of the IREV and resulting index.

When comparing and evaluating performance, decision-makers are concerned with providing a range of effective, efficient, and fair measures that can yield representative relative rankings for the units being evaluated. In this chapter, we apply three multicriteria benchmarking modeling techniques – weighted linear combination, data envelopment analysis (DEA), and ordered weighted average (OWA) – to an example dataset to provide a quantitative assessment of performance. Evaluation of the results demonstrates that each of these techniques has relative strengths and shortcomings. To take advantage of the relative strengths, and avoid some of the shortcomings that we observed, we develop and assess a promising new methodological approach, the order rated effectiveness (ORE) model. ORE uses the OWA unit ratings within a DEA optimization framework to provide an overall relative performance assessment.

The purpose of this paper is to propose a methodological framework that combines several data envelopment analysis (DEA) models to deal with the problem of evaluating and ranking advanced manufacturing technologies (AMTs) without introducing any subjectivity in the analysis.

The methodology follows a two-phase procedure. First, the relative efficiency of every technology is calculated by implementing different DEA cross-efficiency models generating the same number of high-order indicators as efficiency vectors. Second, high-order indicators are used as outputs in a SBM-DEA super-efficiency model to obtain a comprehensive DEA-like composite indicator.

The framework is implemented to evaluate a sample of flexible manufacturing systems. Comparing it to other methods, results show that the methodology provides reliable information for AMTs selection and effective support to management decision-making.

This paper contributes to the body of knowledge about the utilization of DEA to select AMTs. The framework has several advantages: a discriminating power higher than the basic DEA models; no subjective judgment relative to weights necessary to aggregate single indicators and choice of aggregation function; no need to perform any transformation normalizing original data; independence from the unit of measurement of the DEA-like composite indicator; and great flexibility and adaptability allowing the introduction of further variables in the analysis.

The purpose of this paper is to conduct a benchmark analysis of European cities based on the estimation of a composite index of efficiency from the dimensions of the Cultural and Creative Cities Monitor 2017 (CCCM). The study helps to initiate a new exploration path based on this information, using a segmentation criterion of countries according to their economic and demographic characteristics, in search of greater comparative homogeneity.

In this paper, the metafrontier methodological proposal with data envelopment analysis (DEA) has been used to compare the groups of cities individually with their joint reference.

The results obtained indicate, from a greater control of heterogeneity, through the segmentation of the sample of cities and the metafrontier methodology, that the composite index (IEC3) through the enveloping data analysis methodology (DEA) is more robust than that obtained with the arbitrary assignment of CCCM weights. The analyses carried out make it possible to study and conduct more real and rigorous comparisons of the cities that experience the best practices, unlike other more distant ones. Reference to cities such as Paris, Louvain and Cork could serve as a basis for possible improvements.

It is important to bear in mind that the possible urban policies of a city and the creative strategies and their derived impact are different, because of the diversity in each city. These new comparability possibilities could serve as a tool for economic policy makers, companies and local managers to carry out learning and simulation processes in the improvement of creative cities.

The study aims to analyze the impact of market participation on small paddy farmers' income and consumption expenditure. The study also estimates various determinants affecting the market participation of smallholders. Further, the study computes the efficiency of different paddy marketing channels and identifies the determinants that impact the marketing channel selection of paddy growers in Eastern India.

The study used the propensity score matching (PSM) approach to measure the impact of market participation on farm income and per capita consumption. Further, the study employed Acharya and Aggarwal's composite index approach to estimate the marketing efficiency of various paddy marketing channels. Further, a multinomial logit model was used to determine the marketing channel selection constraints.

The outcomes indicate that market participation positively impacts farm income and consumption expenditure. Education, membership in farmers' organizations, price information and distance to the marketplace significantly affect farmers' market participation. The results show that the producer–retailer marketing channel is the most efficient compared to others. However, most paddy farmers sell paddy to farmgate collectors due to a lack of market information, vehicle ownership, storage system, and inability to take the risk of venturing out of the farmgate into markets.

The study uses primary data and captures only farmers' perspectives to measure the impact of market participation, marketing channel efficiency and determinants for market channel selection. The other stakeholder's perceptions can be included in future studies.

Rarely does any study identifies the efficiency of different marketing channels for paddy farmers in India and includes cognitive factors like risk perception and trust in buyers as constraints for market channel selection.

Hong Kong and Singapore are economically similar and rival international financial centers. Banks in both Hong Kong and Singapore operate in very similar environments: internationally oriented with protected domestic banking market and firm regulators. With liberalization under the Financial Services Accord of the World Trade Organization (WTO), comes more competition and the growing importance for banks to ensure that they are X‐efficient so as to compete successfully or risk being marginalized. This paper uses data envelopment analysis (DEA) to assess X‐efficiency of banks in Hong Kong and Singapore via a two‐stage (combining both the intermediation and production stages) banking model. Changes in X‐efficiency over time are computed to determine if policy initiatives have facilitated improvements in efficiency. Our results on X‐efficiency of banks demarcated by size and ownership provide valuable insights into the issues of scale economies and the impact of family ownership on X‐efficiency.

The purpose of this paper is threefold: to examine social opinions in Poland towards the decommodified ideal type of welfare state, as developed by Esping-Andersen; to look at the extent to which this is correlated with opinions towards aspects of the Communist economy and the transition from this system; and to show how opinions on decommodification and the Communist economy and transition are multi-faceted and reflect differing socio-economic interests.

This paper draws on data obtained from a questionnaire asked to a random sample of 1,001 respondents in Poland. A factor analysis of questions related to the topic is carried out and then bivariate correlation and multivariate regression analyses are performed to test the relationship between attitudes towards decommodification and the (post) Communist economy.

It is discovered that the opinions of Polish society are close to many aspects of the decommodified welfare model, although these are not homogenous. There is a significant correlation between opinions towards the Communist economy and transition with the decommodified welfare state, although this weakens when the respondents are asked about more specific issues of welfare that most directly relate to their everyday lives.

The paper uses high quality data from an original data source, to both examine opinions on the welfare system and the Communist economy and transition. This allows us to better understand opinions towards the welfare state in Poland and understand how the historical legacy of Communism influences these opinions.

Although recent research acknowledges the importance of reducing the inefficient activities from road transportation, there is still a missing link in literature of how transportation extended wastes impact road haulers efficiency. The purpose of this paper is to investigate the relationship between waste reduction practices (WRP) and fleet operational efficiency (FOE) in road hauler firms.

A theoretical model was developed to assess this relationship. The authors test the model with a sample from logistics companies providing road haulage services in the Middle East, providing a contribution to extant literature from a different setting.

Results suggest that WRP have a positive and significant impact on FOE. A valuable scale for the measurement of operational efficiency was developed and validated, representing an index toward the most efficient organization.

The findings of this study serves as a tool for shippers to benchmark the efficiency levels of their motor carrier service providers against each other, considering that segmentation is a relevant issue to understand the choice in favor of a given provider to the detriment of another. Furthermore, road haulers can use the efficiency measurements as a basis for establishing future action plans to adopt waste reduction practices.

The research deals with a newly emerging stream of research on linking waste practices to road transport. The authors contribute to this developing body of research through filling a gap in the link between waste and road transport operational performance. The research is also different from recent literature in that the authors provide insights from a larger population, unlike other similar studies who used VSM and studied only a particular case. Thus, the work is important to generalize the findings, especially that the authors provide a perspective from a non-western perspective.

The purpose of this paper is to generate quantitative managerial insights for the improvement of the energy-saving potential and the coordinated development between economic growth and environmental protection.

A novel data envelopment analysis (DEA) model, based on the classical DEA theory, is developed from the perspective of emission reduction.

The empirical results indicate that China’s overall environmental efficiency is low and that there is huge improvement space for energy saving. Under the concerns of emission reduction, the energy-saving potential of the central region exceeds that of both the eastern and western regions. With regard to water, electricity and gas consumption, the electricity-saving potential exceeds the potential for both water saving and gas saving.

Previous studies rarely focused on the energy-saving potential, while considering environmental pollution. This paper applies a novel DEA method to evaluate the energy-saving potential of 30 Chinese provinces for 2015 with a focus on emission reduction concerns. Furthermore, both regional differences and energy type differences of the saving potential were analyzed.

This paper aims to examine the dynamic relationship among energy efficiency, health expenditure and economic growth in Malaysia over the sample period of 1980–2016.

This study uses autoregressive distributed lag cointegration analysis and the causality approach by the vector error correction model to analyse the relationship among energy efficiency, which is proxied by energy intensity and the determinant factors.

The findings of this paper suggest long-run cointegration causal links between economic growth and health expenditure. However, a mixed conclusion for both determinants exists: an increase in real income contributes to more efficient use of energy sources, whereas an increase in government spending on health intensifies energy usage.

Most previous relevant research has focussed on energy efficiency as measured by economic intensity and economic growth and do not relate to the issue of health expenditure. The recent health catastrophe brought on by the COVID-19 epidemic emphasises the significance of allocating more resources to health care. The findings will be helpful in the development of energy efficiency and economic policies in pursuit of sustainable development goals.