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This study aims to observe the coloring efficacy of coffee-based natural brown colorant for cotton dyeing under microwave (MW) treatment.

The colorant extracted in particular (neutral and acidic) media was stimulated by MW treatment up to 6 min. Dyeing variables were optimized and 2–10 g/100 mL of sustainable anchors (mordants) have been used to get colorfast shades.

It has been found that un-irradiated acidic extract (RE) containing 5% of table salt at 80 °C for 50 min has given high color yield onto MW-irradiated cotton fabric (RC = 2 min). The utilization of 2% of Fe, 10% of tannic acid and 10% of sodium potassium tartrate before bio-coloration, whereas 4% of Fe, 10% of tannic acid and 6% of sodium potassium tartrate after bio-coloration has given good color characteristics. In comparison the application of 6% of pomegranate and turmeric extracts before bio-coloration and 6% of pomegranate and 10% of turmeric extracts after bio-coloration have given good color characteristics. New bio-mordants can be added to get more new colorfast shades.

There is no research limitation for this work. New bio-mordants can be added to get more new colorfast shades.

This work has practical application for artisans, textile industry and handicrafts. It is concluded that colorant from coffee beans can be possible alternative of synthetic brown dyes and inclusion of MW rays for extraction and plant molecules as shade developers can make process more green.

Socially, it has good impact on eco-system and global community because the effluent load is not carcinogenic in nature.

The work is original and contains value-added product for textiles and other allied fields.

The purpose of this paper is to investigate a set of competencies that characterizes effective public middle managers.

A total of 20 middle managers from several public agencies were interviewed in person using the behavioral event interview technique. In all, 80 stories were deductively coded based on the existing National Civil Service Agency’s managerial competency dictionary and inductively examined through a thematic analysis to discover new themes.

This study’s findings suggest that communication, organizing, information seeking, analytical thinking and planning competencies are common competencies, but essential for effective public middle managers. Conversely, achievement orientation, leadership, directiveness, persuasiveness and innovation are competencies that characterize effective public middle managers and distinguish them from average performers. In addition, some other new competencies inductively obtained using a thematic analysis are also important for effective public managers: adherence to laws and regulations, multi-stakeholder collaboration, and technical competencies (technology management, human resource management and financial management).

The research was undertaken using 20 samples divided into superior and average performers; thus, it is limited to developing competency levels to new competencies.

This study identifies the competencies necessary for effective middle managers within the public sector context. Conducting behavioral event interviews with two distinct groups provides empirically unique behavioral evidence of competencies that characterize effective public middle managers and enables to discover new competencies.

The purpose of this paper is to provide a survey of the empirical literature on environmental Kuznets curve (EKC) estimation of carbon dioxide (CO₂) emissions over the period of 1991–2017.

This survey categorizes the studies on the basis of power of income in empirical models of EKC. It has been hypothesized that the EKC shows an inverted U-shaped association between economic growth and CO₂ emissions.

For all the contexts, the results of EKC estimation for CO₂ emissions are inconclusive in nature. The reasons behind this discrepancy can be attributed to the choice of contexts, time period, explanatory variables, and methodological adaptation.

The future studies in this context should not only consider new set of variables (e.g. corruption index, social indicators, political scenario, energy research and development expenditures, foreign capital inflows, happiness, population education structure, public investment toward alternate energy exploration, etc.), but also the data set should be refined, so that the EKC estimation issues raised by Stern (2004) can be addressed.

By far, no study in the literature of ecological economics has focused on the empirical estimation of EKC for CO₂ emissions. This particular context has been used for this study, as CO₂ is one of the highest studied pollutants in the ecological economics, and especially within the EKC hypothesis framework.