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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.

The purpose of this paper is to contribute to the current literature on consumer acceptance of cultured meat and to investigate the main factors that might affect it.

Data were collected from a sample of 490 consumers in Italy, using a web-based survey. The empirical analysis follows an exploratory approach based on the training and checking of a random forest model.

An important finding of this study concerns the overall positive perception of cultured meat on the part of the interviewees in a country that is the fifth-largest meat producer at the European level. Age, environmental and ethical issues, and scepticism about new food technologies are the most important factors that guide consumer acceptance of cultured meat. The results suggest that in order to increase cultured meat acceptance it would be important to inform and educate consumers towards new food and new food production methods.

The sample analysed in this study is not representative of the whole national population, as it happens in most papers dealing with new food.

Although the conclusions of this exploratory study cannot be over-generalized, the results provide interesting insights on how to increase cultured meat acceptance in view of the possible development of a new market for cultured meat.

The purpose of this chapter is to ask and answer the question of what would happen if Genetically Modified Organism (GMO) plant materials were banned. We report on two studies – one with United States only ban and one with a global ban. We used a global computable general equilibrium (CGE) model, Global Trade Analysis Project (GTAP), for the analysis. This model has been used in hundreds of published papers on trade, energy, land use, and environmental issues. Our use of the model was to estimate the crop yield benefits for the major GMO crops, and then to convert this to a loss if the GMO traits were banned. We then shocked the GTAP model with the yield losses and estimate economic, land use, and greenhouse gas (GHG) emission impacts. We found that losing the GM technology would cause commodity and food prices to increase and also bring about a significant increase in GHG emissions. The increase in emissions is caused by the need to convert forest and pasture to compensate for the lost production. Another interesting conclusion of the global ban study is that economic well-being for the United States, the world’s largest GMO user, actually increases with a ban. Many regions that ban or use little GMO varieties like the European Union, India, China, and Japan all see economic well-being decrease. These counterintuitive results are driven mainly by trade patterns. Therefore GMO technology helps agriculture reduce its carbon footprint. Without this technology, agricultural land-use GHG emissions increase as do food prices. Some groups would like to see GMOs banned and also see GHG emissions fall. You cannot have it both ways.

This chapter provides an overview of the current political regulations on aviation’s climate relevant emissions in Europe, Australia, and New Zealand and of the planned regulations in other parts of the world. In a next step, the cost impacts of most of these regulations on air freight will be quantified. This way, the economic impacts of environmental regulations on air freight can be estimated.

The main results indicate that cost impacts on air freight services induced by political measures for the reduction of aviation’s climate relevant emissions turn out to be small. This is true for both local emission charges on nitrous oxide (NO _X ) and hydrocarbon (HC) emissions which are in force at a number of European airports and the European emissions trading scheme for the limitation of CO₂ emissions.

Air pollution affects labour productivity and these effects arise in both indoor and outdoor environments and at varying levels of worker skill. They also arise at levels of air pollution generally considered to be within existing air quality standards and guidelines. Although the damage per individual is small when compared to more extreme events, such as mortality and hospitalisations, the effects are more widespread and may thus represent a significant cost to society. Labour is an essential element in every nation’s economy serving as one of the primary factors of production and India not an exception. Investing in human capital is viewed as a key source of sustained increase in labour productivity and economic growth. On the other hand, environmental regulations are typically considered to be a struggle on the economy. However, improved environmental quality may actually enhance productivity by creating a healthier workforce. At the same time, air pollution may affect labour productivity and can reduce the productivity of workers in physically demanding occupations. This chapter may be an attempt to provide comprehensive estimates of the major air pollutants in different states of India and also tries to identify the linkage between air pollution and labour productivity in case of Indian manufacturing sector.

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.

The present study investigates the effect of foreign direct investment (FDI) and governance quality on carbon emissions in the Economics Community of West African States (ECOWAS).

To achieve the objective of this research, panel data for dependent and explanatory variables over the period 2005–2016, collected in the World Development Indicators (WDI) database and World Governance Indicators (WGI), are analyzed using the generalized method of moments (GMM). Also, the panel-corrected standard errors (PCSE) method is applied to the four segments of the overall sample to analyze the stability of the results.

The findings of this study are (1) FDI inflows have a negative effect on carbon emissions in ECOWAS and (2) The interaction between FDI inflows and governance quality have a negative effect on carbon emissions. These results show the decreasing of environmental damage by increasing institutional quality. However, the estimation results on the country subsamples show similar and non-similar aspects.

This study suggests that policymakers in the ECOWAS countries should strengthen their environmental policies while encouraging FDI flows to be environmentally friendly.

The subject has rarely been explored in West Africa, with gaps such as the lack of use of institutional variables. This study contributes to the literature by drawing on previous work to examine the role of good governance on FDI and the CO2 emission relationship in the ECOWAS, which have received little attention. However, this research differs from previous work by subdividing the overall sample into four groups to test the stability of the results.

Recent events demonstrate that problems in the banking system pose a significant threat to the health of the global economy. Despite several shortcomings the Basel Accord thus emerges as an attempt to protect banking systems. The purpose of this study is to shed light on potential barriers to implementation of the Basel Accord in emerging countries. Several issues of wider interest to risk management and financial regulation also emerge.

The paper maps implementation of the Basel Accord against the wider regulatory context. Against this backdrop, the Basel Accord appears well‐motivated but is limited by several practical considerations. These factors, amidst other practical implications, are identified as the paper applies rigorous statistical methods to novel primary survey data from risk managers.

The Basel Accord is generally well‐received due its dual aims of improved capital administration and scientific risk management. Operational risk is a significant barrier to implementation, with a number of further issues only partially addressed (see below). Equally supported by both public and private sector banks the reasons for delay appear due to lack of technical expertise and the level of preparation. Results highlight credit risk, practical implementation issues (IT and HR), minimal capital requirements, data security and operational risk as issues of critical importance.

The originality of the contribution lies in the scientific treatment of novel primary data from risk managers tasked with implementation of the Basel Accord. Findings suggest several important practical implications discussed above.

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 paper investigates the structural model of vector autoregression (SVAR) of the interdependent relationship of inflation, monetary policy and Islamic banking variables (RDEP, RFIN, DEP, FIN) in Indonesia. By using monthly data for the period 2001M01-2019M12, the impulse response function (IRF), forecasting error decomposition variation (FEDV) is used to track the impact of Sharīʿah variables on inflation (prices).

This research uses quantitative approach with SVAR model to reveal the problem.

The empirical results of SVAR, the IRF show that policy shocks have a negative impact on all variables in Islamic banking except the equivalent deposit interest rate (RDEP). The impact of both conventional (7DRR) and Sharīʿah (SBIS) policies has a similar pattern. While the transmission of Sharīʿah monetary variables as a policy operational target in influencing inflation is positive. In addition, the FEDV clearly revealed that the variation in the Sharīʿah financial sector was relatively large in monetary policy shocks and their role in influencing prices.

The empirical results of SVAR, the IRF show that policy shocks have a negative impact on all variables in Islamic banking except the equivalent deposit interest rate ‘RDEP’. The impact of both conventional “7DRR” and Sharīʿah “SBIS” policies has a similar pattern. While the transmission of Sharīʿah monetary variables as a policy operational target in influencing inflation is positive. In addition, the FEDV clearly revealed that the variation in the Sharīʿah financial sector was relatively large in monetary policy shocks and their role in influencing prices.