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The purpose of this study is to examine the impact of economic growth, trade openness and manufacturing on CO2 emissions in India.

The study employed autoregressive distributive lag (ARDL) bounds test approach and uses CO2 emissions, trade, manufacturing and GDP per capita to examine the relationship using an annual time series data from World Development Indicators during 1971 to 2016.

Results depict that there exists a long-run relationship between CO2 emissions and other variables. Trade openness significantly reduces CO2 emissions, whereas manufacturing and GDP have a significant and positive impact on CO2 in the long run.

The findings of the study contribute to the body of knowledge by providing new evidence on the relationship between developmental metrics and the environment. These findings are critical for policymakers and regulatory bodies to focus on economic development without jeopardizing environmental degradation.

In order to keep its commitment to sustainability, India needs to develop policies that encourage cleaner production methods and establishment of non-polluting industries. Simultaneously, it must disincentivize industries that emit CO2 by policy frameworks such as carbon taxes, pollution taxes or green taxes.

None of studies examine at how these environmental factors interact in India. Kilavuz and Dogan (2020) used the same variables, but their scope was limited to Turkey. As a result, the study is the first to examine this relationship for India, contributing to the body of knowledge on economic growth, manufacturing, trade openness and environmental concerns.

A promising solution to meet the challenge of sustainability and ensure the protection of the environment consists in acting considerably on the adoption and use of new information and communication technologies. The latter can act on the protection of the environment; completely change manufacturing processes into energy-efficient, eco-friendly techniques or influence institutions and governance. The article attempts to cover shortcomings in the literature by providing a couple of theoretical frameworks and grounded empirical proofs for the dissemination of green technologies and the interaction of the latter with institutional quality.

The sample is made up of 43 African countries covering the period 2000–2020 and a panel VAR modeling approach is employed.

Our results show that an attenuation of CO2 emissions amplifies the diffusion of digital technologies (mobile telephones and Internet). Efficiency in the institutional quality of African countries is mandatory for environmental preservation. Moreover, the provision of a favorable institutional framework in favor of renewable energy helps to stimulate environmental performance in African states.

This study complements the extant literature by assessing nexuses between green technology and CO2 emissions in environmental sustainability.

The aim of this paper is to show current position of domestic airports and provide an improvement scheme through the comparative analysis of efficiency and social efficiency. We used SBM (Slack Based Measure) for efficiency and undesirable output model that is extended from SBM for social efficiency. In addition, window analysis is used for analyzing the trend of the values. For the scope of this study, we analyzed fourteen airports in Korea from 2004 to 2009. In the models, we considered the length of runway, the number of employees and terminal area as input factors, and the number of passengers, the amount of cargo and the number of flights as desirable outputs and directly controllable CO2 emissions from airports as undesirable output. The results show that all of the efficiencies are higher than the social efficiencies and both of them are decreasing by years. To improve social efficiency in 2009, the average amounts of reduced CO2 emissions which account for 48.3% of the total emissions are required.

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 study examines the empirical performance of emission allowance option pricing models, concentrating on the EU-ETS markets. For option pricing, we use parameters estimated from option market data whereas few papers in the extant literature use parameters from underlying asset data. As results, it is shown that the most appropriate is the one-factor model in which the EUA logarithmic spot prices follow the mean-reverting process of Ornstein-Uhlenbeck type. Also, the addition of jumps is not shown to make any significant improvement in the model performance. These results are quite striking in the sense that existing papers report the addition of jumps is necessary to improve option pricing on the EU-ETS markets. In sum, this paper is meaningful in the sense that it extends the growing empirical literature on the behavior of emission allowance spot prices

This paper studies the formation and management of an international entity for promoting the provision of global public goods in a setup of international treaties on concessions and reservations. Based on the so-called Vienna Convention by which there can be a discrepancy between the original treaty obligation and the ratified one in the multi-lateral treaty implementation, we construct two-stage mechanisms for international treaties on global public goods; the concession stage and the ratification stage with reservations. We explicitly analyze the optimal reservation levels from the optimal mechanism when the countries face asymmetric information on the preference parameters to global public goods. Specifically, we characterize the environments where the optimal mechanism with dominant-strategy incentive-compatibility and ex-post participation- constraint in the literature of mechanism design exists. The result shows that the sophisticatedly calculated transfers in the principal of quid pro quo control the international concessions and reservations.

The main purpose of this paper is to introduce the concept of global carbon budget (GCB) as a key concept that should be introduced as a reference when countries formulate their mitigation contributions in the context of the Paris Agreement and in all the monitoring, reporting and verification processes that must be implemented according to the decisions of the Paris Summit.

A method based on carbon budget accounting is used to analyze the intended nationally determined contributions (INDCs) submitted by the 15 countries that currently head the ranking of global emissions. Moreover, these INDCs are analyzed and compared with each other. Sometimes, inadequate methodologies and a diverse level of ambition in the formulated targets are observed.

It is found that the INDCs of those 15 countries alone imply the release into the atmosphere of 84 per cent of the GCB for the period 2011-2030, and 40 per cent of the GCB available until the end of the century.

This is the first time the INDCs of the top 15 emitters are analyzed. It is also the first analysis made using the GCB approach. This paper suggests methodological changes in the way that the future NDCs might be formulated.

The purpose of this study is to investigate the role of natural resources in economic growth by taking evidence from Pakistan.

Total five variables are used in this study, i.e. GDP, population density, water renewable resources, deforestation and the emissions of CO₂, based on time series data from 1972 to 2016. The annual data is collected from World Development Indicators, Food and Agriculture Organization and Pakistan Economic Survey. Vector error correction model technique is applied to find out the long-run results.

Results depict that all variables have a negative and significant relationship over the long run at 5% level of significance. It is observed that 1% increase in population accordingly will degrade GDP by 0.334496%. Correspondingly, 1% increase of water renewable resources will degrade GDP by 0.450647%. Findings are aligning with the study of. Moreover, 1% increase in deforestation will diminish GDP by 0.127821%. If we increase 1% of CO₂, GDP will be reduced by 0.802420%.

Results depict that all variables have a negative and significant relationship over the long run at 5% level of significance. It is observed that 1% increase in population accordingly will degrade GDP by 0.334496%. Correspondingly, 1% increase of water renewable resources will degrade GDP by 0.450647%. Findings are aligning with the study of. Moreover, 1% increase in deforestation will diminish GDP by 0.127821%. If we increase 1% of CO₂, GDP will be reduced by 0.802420%.

Family planning may be our last hope. Viable and fruitful family planning ought to be introduced. Status of ladies should be brought up in the society by providing education and employment opportunities. Time of marriage ought to be brought up to 25 years in case of males and 23 in case of females; this can help in decreasing the number of births. Having a large population will not automatically translate into economic prosperity. Investment in well-being, education, sound economic policies and good governance will bring about accelerated economic growth.

In recent years, the issue of worldwide water shortage has attracted increasing consideration within scholarly community, non-administrative organizations and the media. Water shortage is a significant and ever-increasing danger to the environment, human well-being, advancement, energy security and the worldwide food supply. This work will introduce real issues and requirements relating to water, environmental changes and their impact on economic growth of Pakistan.

This paper explores quality science and quality management as a potential pathway to resolve the challenges of corporate sustainability reporting (CSR) by establishing the need for a common understanding of sustainability and sustainable development.

Secondary research on key documents released by regulatory institutions working at the intersection of sustainability, corporate reporting, measurement and academic papers on quality science and management.

Existing measurement frameworks of CSR are limited. They are neither aligned nor appropriate for accurately measuring a company's ecological footprint for mitigating climate change. Quality for sustainability (Q4S) could be a conceptual framework to bring about an appropriate level of measurability to better align sustainability reporting to stakeholder needs.

There is a lack of primary data. The research is based on secondary literature review. The implications of Q4S as a framework could inform research studies connected to sustainable tourism, energy transition and sustainable buildings.

The paper connects to CSR stakeholders, sustainability managers, company leaderships and boards.

The implications of sustainability on people, purpose and prosperity are a part of World Economic Forum's stakeholder capitalism.

This paper fills a research gap on diagnosing and understanding the key reporting challenges emerging from the lack sustainability definitions.

The European Union's Emissions Trading System (EU ETS), which is already one of the EU's most impactful instruments for reducing greenhouse gases (GHGs), will soon include the maritime transport industry. Although ports are this industry's most environmental-friendly component, there are still some barriers to including ports in the system. Therefore, the purpose of the study is to identify these barriers and to reveal the barriers' interrelationships.

The study was conducted by identifying barriers from a literature review before analyzing the barriers with the Fuzzy DEMATEL method. Finally, based on the Complex Adaptive System Approach, various solutions are proposed to overcome these barriers.

The identified barriers were grouped into cause-and-effect groups. Two barriers, namely long payback period and high investment costs, were evaluated as triggers of the model while the others were more sensitive to the model.

This study only includes the perceptions of green certificated ports in Türkiye. The results revealed an expectation that elimination of financial concerns will alleviate other barriers to including ports in the system. The study's findings can guide port managers on the integration of the managers' processes into the system.

This study provides novel findings regarding the relationships between barriers hindering ports from involvement in the EU ETS.