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The purpose of this paper is to try to understand better whether performance appraisal (PA) helps performance evaluators (PEs) to manage more effectively and meet employees' expectations in US‐based corporations.

A 54‐item research instrument was developed and implemented using structured interviews with 54 PEs, who worked at five US‐based corporations (Aetna Insurance, IBM, Johnson & Johnson, Valspar, Wyeth Pharmaceuticals). Responses were statistically analyzed with descriptive statistics and decision trees.

Time dedicated to implementing PA was the most important factor leading to ethical issues. PEs with the highest educational levels and most experience spent the least amount of time (1.86 vs 3.19 hours) implementing PA. Most PEs (79.6 percent) solicited feedback about employees' performance from employees' peers but 20 percent did not. Additionally, not a single PE had PA as a specific objective, making it difficult to sequester time necessary for PA. Older PEs felt PA helped them manage more effectively and PEs who were Black or White and from Marketing/Sales were most favorable about meeting employees' PA expectations. There were no remarkable differences among PA systems at the five corporations, e.g. 360‐degree training.

Structured interviews required delicate interaction due to sensitivity about the US economy and resulting layoffs within interviewees' corporations.

PEs, particularly older managers with higher educational levels, should have a PA objective and be held accountable to it to ensure that they dedicate time necessary to complete PA in the way the PA system intends.

The paper provides insight about PA within the US corporate setting and will be highly interesting to those in that field.

This paper aims to find the optimal deposition conditions for achieving the homogenous structure of the silver layers onto three types of polymeric substrates as well as on the rigid substrates. For this reason, the detailed investigation of the silver-based layers deposited at different technological conditions by microscopic methods is presented in this paper.

The special test pattern has been designed and deposited at different substrate temperatures by using two types of generally available silver-based nano-inks. Cross-sections and 3D profiles of the deposited silver layers have been profoundly analysed by using the optical profiler Sensofar S Neox on the generally used polymeric (PI, PET and PEN) and rigid substrates (951 and 9K7 LTCC, glass and alumina).

The results prove the strong correlation between the substrate temperature during the deposition process and the final shape of the created structure which has the a direct impact on the layers’ homogeneity. The results also prove the theory of the coffee ring effect creation in the inkjet printing technology.

The main benefit of this paper lies in the possibility of the homogeneity achievement of the deposited silver-based layers on the several polymeric and rigid substrates by managing the temperature during the deposition. The paper also offers the comparative study of nano-inks’ behaviour on several polymeric and rigid substrates.

The purpose of this paper is to shed light on how the relational capital of the information technology (IT) department creates value in organizations. In addition, the paper presents a multi-dimensional scale to measure and manage relational capital in the IT department.

In the first, explorative phase of the study, interviews and focus groups were conducted in order to develop a new measurement scale, which was subsequently tested through a survey questionnaire (212 respondents).

This research suggests that the relational capital of the IT department is a very important resource for the creation of strategic value. The statistical analysis conducted for this study confirmed the validity and reliability of the novel scale developed to measure this resource. Finally, thanks to factor analysis, five dimensions for the scale were identified.

Data were collected in northern Italy only. Further studies are advisable to confirm the validity of the constructs and scale.

The questionnaire presented in this study can be used to monitor the effectiveness of the interactions between the IT department and the other key actors involved in IT-enabled innovation. The adoption of this scale and its possible adaptation to specific, evolving business contexts may enhance the practitioner’s understanding of the role of relational capital in the value creation process.

The paper contributes to the “third stage” of intellectual capital research by concentrating on an intra-organizational level of analysis, which has been overlooked in the literature to date.

This survey presents the recent and rapidly expanding literature, which analyses the economic impacts of the COVID-19 pandemic, by means of Computable General Equilibrium (CGE) modelling. It does so not only by contrasting and assessing the different methodological approaches, and the key findings of the simulation exercises, but also by putting the various contributions in a historical perspective. This is necessary because each CGE-based study should be evaluated while keeping in mind when it was realised, since questions, priorities, expectations have been constantly changing during the spreading of the pandemic.

We all understand the everlasting harmful effects of pollution. A larger proportion of this pollution gets generated from industrial units due to use of backward technologies along with intentional or unintentional economic policies that has allowed such industries to grow over the years. Many of these industries are poor, in many cases, they do not have the ability to install abatement technologies or use emission-free green technologies for their huge cost. In many cases, they do not do so intentionally just to enjoy higher profit and due to faulty planning. But, the pollution generated from such industries makes us all suffer, especially those who live in those industrial areas. They are more exposed to the emission directly. Again, growing consensus among people about pollution has increased the consumption of eco-friendly, less-polluting products which could have a wide-ranging impact on the production techniques and can force the producers to change their production techniques, In this chapter, by applying contingent valuation method (CVM), the authors have looked to capture how far people of two very renowned industrial belts in West Bengal, Howrah and Barrackpore, are willing to contribute to the reduction of such emission level by consuming eco-friendly products and paying the emitting producers to force them to adopt pollution-free technology. The authors have applied close-ended dichotomous choice (DC) bidding technique by using logit regression and have also applied open-ended bidding process by using ordinary least square (OLS) method. In both cases, the authors have found the mean willingness to pay (WTP) is quite high which shows that people are very much willing to move towards using eco-friendly goods and technologies.

To better understand the impact of choosing a carbon data provider for the estimated portfolio emissions across four asset classes. This is important, as prior literature has suggested that Environmental, Social and Governance scores across providers have low correlation.

The authors compare carbon data from four data providers for developed and emerging equity markets and investment grade and high-yield corporate bond markets.

Data on scope 1 and scope 2 is similar across the four data providers, but for scope 3 differences can be substantial. Carbon emissions data has become more consistent across providers over time.

The authors examine the impact of different carbon data providers at the asset class level. Portfolios that invest only in a subset of the asset class may be affected differently. Because “true” carbon emissions are not known, the authors cannot investigate which provider has the most accurate carbon data.

The impact of choosing a carbon data provider is limited for scope 1 and scope 2 data for equity markets. Differences are larger for corporate bonds and scope 3 emissions.

The authors compare carbon accounting metrics on scopes 1, 2 and 3 of corporate greenhouse gas emissions carbon data from multiple providers for developed and emerging equity and investment grade and high yield investment portfolios. Moreover, the authors show the impact of filling missing data points, which is especially relevant for corporate bond markets, where data coverage tends to be lower.

This paper aims to investigate the impact of the proposed carbon tax on the financial market return of Australian firms. It also considers the differential tax effect on individual firms with different carbon profiles, including factors such as emissions costs, carbon disclosure and climate-change policies.

Utilising the event-study method, the authors examine the market reaction to seven key carbon legislative information events that occurred from February 2011 to November 2011. The sample includes 48 different firms whose emissions-related data are available from Carbon Disclosure Project reports; thus, 336 firm-event observations are used for the cross-sectional analysis.

The paper documents evidence that the proposed tax has an overall negative impact on shareholder wealth as measured by abnormal returns. The negative impact varies across sectors, with the most significant effect found in the materials, industrial and financial sectors. It was also found that a firm’s direct carbon exposure (as measured by Scope 1 emissions) is significantly associated with abnormal returns, whereas the indirect exposure (as measured by Scope 2 emissions) is not, because Scope 2 emissions are not covered by the tax. In addition, the findings suggest that the information content of the events is more notable during the early stages of the development of the carbon tax.

The sample is restricted to the largest firms with relevant carbon profile information. Thus, caution should be exercised when generalising the inferences.

The introduction of the carbon tax was largely unexpected and most firms were unprepared for it; thus, their carbon policy appears inadequate and does not impress investors. An understanding of how the carbon tax affects shareholder value and welfare will encourage management to take proactive actions to mitigate the compliance costs of carbon legislation.

The enactment of the Australian carbon tax perhaps represents one of the biggest social and economic restructuring events in the country’s history. Our results offer initial insight into its impact and suggest that investors would penalise firms with heavy direct operational emissions. In addition, Australian corporate carbon policy seems inadequate, so does not reverse the negative effect of the tax on the value of a firm.

This study provides empirical evidence of the economic valuation of ecosystem services. It examines the willingness-to-pay (WTP) and compensating surplus (CS) in response to policy change based on focus group discussion (FGD) and survey.

A randomized conjoint analysis based experiment was conducted in seven villages of Sundarbans in Bangladesh to elicit stated preference data and measure WTP and CS. Each respondent faced three options in every choice card-two hypothetical alternatives and one status quo scheme. Four alternatives – payment for ecosystem services, storm protection, erosion control and habitat for fish breeding – are randomly and simultaneously assigned to the two alternatives.

The findings suggest that age, income, education, family size and occupational status are the influential factor to choice the relevant attributes of ecosystem services and their levels. Villagers would like to pay annually Tk. 703, Tk. 281, and Tk. 59 for lower, moderate, and higher ecosystem services. With these WTP, they get surplus Tk. 760, Tk. 138, and Tk. 346 respectively.

The lower WTP does not necessarily imply low demand for ecosystem service, as the findings from WTP illustrate potential demand for ecosystem services of Sundarbans.

The study provides an important insight into the ecosystem services and values of Sundarbans mangrove forests for welfare and can inform policy for sustainable use of resources of this forest.

There is a crucial gap in understanding what could villagers be ready for WTP for better ecosystem services of Sundarbans mangrove forest, how do payment based ecosystem services, as a proxy for the conservation of Sundarbans mangrove, and to what extent the policy can be strengthened.

The purpose of this paper is to evaluate the impact of corruption on the environmental quality in Tunisia. Indeed, the post-revolution period is characterized by a remarkable increase in the rates of corruption.

The direct and indirect effects of control corruption on economic growth and CO₂ emissions in Tunisia have been examined using the autoregressive distributed lag (ARDL) cointegration framework among corruption, growth and CO₂ emissions.

Results substantiate a positive and significant relationship between control of corruption and economic growth, a negative and significant relationship between control of corruption and environmental quality (CO₂) and a negative and significant relationship between control of corruption and energy consumption. The findings suggest that while the control of corruption contributes to economic growth, its positive effect could be transposed indirectly via its impacts on environmental quality.

A strategy against corruption will reduce CO₂ emissions; however, its positive effect on economic growth indirectly contributes to reverse this relationship.

This paper aims to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests from the following four major domains: economic, human security and vulnerability of people, aggressiveness or militancy of the armed forces and global and regional climates.

Autoregressive distributed lag (ARDL) bounds testing approach has been applied on annual data from 1960-2017, to deal with the problems of autocorrelation and non-stationarity of key variables.

First, an increase in crop yield, cereal productivity, food productivity and per capita availability of arable land unequivocally and significantly lower the severity of conflict in Myanmar in the long run. Second, the authors uncover strong evidence that the intensity of conflicts bears a positive relationship with the vulnerability of the people of Myanmar. Third, the authors detect that both regional and global climate variables have limited and rather inconsistent impacts on subnational conflicts in Myanmar. Finally, the authors find that the aggressiveness (militancy index) of the armed forces has significant impacts upon subnational conflicts and economic variables of Myanmar in the long run.

This paper is completely data-driven and explains the long-term dynamics of the intensity of the civil war in Myanmar. ARDL bounds testing approach has been used to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests. It is a novel approach, which overcomes the problems of autocorrelation and nonstationarity and offers reliable results.