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The purpose of this paper is to propose a measurable terrestrial ecosystem boundary to answer the question: what extent of landscapes, bioregions, continents, and the global Earth System must remain as connected and intact core ecological areas and agro-ecological buffers to sustain local and regional ecosystem services as well as the biosphere commons?

This observational study reviews planetary boundary, biosphere, climate, ecosystems, and ecological tipping point science. It presents a refinement to planetary boundary science to include a measurable terrestrial ecosystem boundary based on landscape ecology and percolation theory. The paper concludes with discussion of the urgency posed by ecosystem collapse.

A new planetary boundary threshold is proposed based on ecology's percolation theory: that across scales 60 percent of terrestrial ecosystems must remain, setting the boundary at 66 percent as a precaution, to maintain key biogeochemical processes that sustain the biosphere and for ecosystems to remain the context for human endeavors. Strict protection is proposed for 44 percent of global land, 22 percent as agro-ecological buffers, and 33 percent as zones of sustainable human use.

It is not possible to carry out controlled experiments on Earth's one biosphere, removing landscape connectivity to see long-term effects results upon ecological well-being.

Spatially explicit goals for the amount and connectivity of natural and agro-ecological ecosystems to maintain ecological connectivity across scales may help in planning land use, including protection and placement of ecological restoration activities.

This paper proposes the first measureable and spatially explicit terrestrial ecosystem loss threshold as part of planetary boundary science.

The purpose of this paper is to problematize the need for debate in operationalizing the planetary boundaries framework when accounting for the Anthropocene.

This paper’s aim is achieved through a literature review focusing on the assumptions around the Anthropocene, planetary boundaries and organizations. The author conducted an integrated review of 91 documents discussing the operationalization of the planetary boundaries framework and the need for debate.

This paper develops two major findings. First, the author identifies the four main dimensions of the planetary boundaries that need to be debated: social, normative, narrative and control aspects. Second, the author exposes proposals in the literature that have the potential to fuel the debate, but which are themselves a source of debate.

This paper argues that, while being scientifically informed, the planetary boundaries framework leaves decision-makers with critical choices and decisions that need to be openly debated. This paper identifies some relevant proposals for doing so.

This paper underlines the need to open forums of debate for scientists and other stakeholders to raise the democratic legitimacy of the planetary boundaries framework.

To the best of the author’s knowledge, this is one of the very first papers to investigate dimensions of the planetary boundaries that need to be debated to respond to the challenge of its operationalization.

The airline industry has been significantly hit by the occurrence of the new coronavirus SARS-CoV-2, facing one of its worst crises in history. In this context, the present paper analyses one of the well-known boarding methods used in practice by the airlines before and during the coronavirus outbreak, namely back-to-front and suggests which variations of this method to use when three passenger boarding groups are considered and a jet bridge connects the airport terminal with the airplane.

Based on the importance accorded by the airlines to operational performance, health risks, and passengers' comfort, the variations in three passenger groups back-to-front boarding are divided into three clusters using the grey clustering approach offered by the grey systems theory.

Having the clusters based on the selected metrics and considering the social distance among the passengers, airlines can better understand how the variations in back-to-front perform in the new conditions imposed by the novel coronavirus and choose the boarding approach that better fits its policy and goals.

The paper combines the advantages offered by grey clustering and agent-based modelling for offering to determine which are the best configurations that offer a reduced boarding time, while accounting for reduced passengers' health risk, measured through three indicators: aisle risk, seat risk and type-3 seat interferences and for an increased comfort for the passengers manifested through a continuous walking flow while boarding.

The COVID-19 pandemic affected entire humanity, sustainable development and international trade. Even if international trade is in the recovery phase, COVID-19 pandemic's adverse effects on sustainable development and trade continue to be experienced globally. Furthermore, break out of the war in Ukraine (WIU) further affected not only Ukraine and Russia but also other countries. Countries have started to experience adverse impacts of the WIU more deeply as this war continues. From the global sustainable development and trade perspectives, the WIU impacts' magnitude is affected by the significance of Ukraine and Russia's role in and contribution to the global economy and trade (e.g. agriculture, energy). All countries, including developed, developing and under-developed countries, have started to be affected at different levels due to the adverse impacts of this war. Based on an in-depth literature review, this chapter aims to investigate the WIU's impacts on global sustainable development and international trade. Furthermore, effects of the WIU on climate change and on the fight against climate change are investigated within the scope of this chapter. This chapter is expected to be useful to all stakeholders of sustainable development including politicians and researchers.

The purpose of this paper is to address the gap between definition and practical aspects of production efficiency in mass customization (MC). The paper summarizes all major issues impacting efficiency in MC. Also, the paper reviews metrics, relationship between various parameters and provides a best practices benchmark toolkit to achieve higher machine efficiencies.

The paper identified and categorized multiple challenges impacting machine efficiency in MC through a literature review spanning over three decades, and also ranked the identified issue-based parameters. Top issues were found varying across different types of industries identified through the review. Metrics pertaining to efficiency and degree of MC are reviewed in the paper. A chronological review of issues is presented, and a chain diagram is built in the paper. Toolkit of best practices created with solution strategies and tools are summarized through the review.

The paper found that MC reasonably impacts machine efficiency which needs to be addressed. Major issues through literature review-based ranking are uncovered, and worldwide research trend and comparison are presented. Active research in this area is observed to be at its peak since 2010. The extensive use of strategies and benchmark toolkit for improving efficiency are summarized.

Ranking of issues has been done through a literature review; hence, there can be skewness depending on the frequency of issues researched by various authors in various areas of industries.

This paper is useful for manufacturing managers and companies willing to increase the size of their product portfolio and choices within their available resources without compromising machine efficiencies and, thereby, the cost. The identified issues help in providing a comprehensive issue list to the academia.

This paper describes what is believed to be the first study that explicitly examines the issues faced in achieving machine efficiency while manufacturing in an MC environment.

The global demand for agricultural commodities may more than double in the second half of the twenty-first century. It has been suggested that rapidly growing world needs in food and agriculture can be met by expanding the acreage or cultivation of existing farmland. Because available land for farming is limited, about 90% of future production growth is expected to result from yield growth, with only 10% realized at the cost of acreage expansion.

In this chapter, we analyze the multitude of social benefits of modern agriculture. We also expand the traditional analysis of the return to research methodology by explicitly including environmental and other benefits of crop yield growth.

A key result of our analysis is that the environmental benefits of productivity growth far exceed the direct economic benefits to consumers and producers from an expansion of production. Hence, restricting analysis solely to price and quantity effects seriously underestimates the social benefits of modern agriculture.

The environmental benefits of yield growth in modern agriculture far exceed the traditional measure of social welfare.

This study investigates the association between debt overhang and carbon emissions (both direct and indirect emissions) using a sample of US publicly listed firms.

The study applies generalized least squares (GLS) regression analyses to a sample of 2,043 US firm-year observations over a period of 14 years from 2007 to 2020. The methods include contemporaneous effect, lagged effect, alternative measures of carbon emissions and debt overhang, intensive versus non-intensive analysis, channel analysis, firm fixed effects, change analysis, controlling for credit rating analysis, propensity score matching approach, instrumental variable analysis with industry and year fixed effect.

This study's findings reveal that the debt overhang problem increases carbon emissions. This finding holds when the authors use alternative measures of carbon emissions and debt overhang. The authors find that carbon abatement investment is a channel that is negatively impacted by debt overhang, which in turn increases carbon emissions. This study's results are robust for several endogeneity tests, including firm fixed effects, change analysis, propensity score matching approach and two-stage least squares (2SLS) instrumental variable analysis.

The outcome of this research has policy implications for several stakeholders, including investors, firms, market participants and regulators. This study's findings offer insights for investors and firms, helping them allocate resources effectively and make financing decisions aimed at reducing carbon emissions. Regulators and policymakers can also use the findings to formulate policies that promote alternative sustainable finance practices.

The outcome of this research is likely to help firms develop their understanding of the debt overhang problem and undertake strategies that yield a significant amount of funding to invest in reducing carbon emissions.

Cost estimation is a major concern while planning projects on public–private partnership (PPP) terms in developing countries. To bridge the gap of the right approximation of cost of capital, this study aims to sermon a significant role of investor’s risk perception as unsystematic risk in PPP-based energy projects.

To investigate the effective mechanism of determining cost of capital and valuing the capital budgeting, a pure-play method has been acquired to measure systematic risk. In addition, dynamic conditional correlation (DCC) and generalized autoregressive conditional heteroscedasticity (GARCH) models have been applied to calculate weighted average cost of capital.

Initially, a joint cost of capital of energy-related projects has been calculated using DCC-GARCH and pure-play method. Investors risk perception has been discussed through market point of view using country risk premium modeling. Latter yearly betas have been calculated using DCC signifying the final outcomes that applying a dynamic model can provide a better cost estimation in emerging economies.

The findings are implicating that due to the involvement of international investors, domestic risk is linked with country risk. In such situations, market-related information is a key factor to find out the market performance, helping in the estimation of cost of capital through capital asset pricing model (CAPM). High dynamic nature of emerging economies causes an impediment in the estimation of cost of capital. Consequently, to calculate risk in dynamic markets, this study has acquired DCC model that can predict the value of beta factor.

Study contributes to the body of knowledge by addressing an important issue of investor’s risk perception and effective implication of CAPM using pure-play and DCC-GARCH when data is not promptly available in dynamic situations.