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This study aims to provide an estimation of carbon dioxide (CO₂) emission abatement costs in China’s industry sector during the period of 2006-2010, and additionally provide an ex-post estimation of CO₂ abatement cost savings that would be realized if carbon emission permits trading among different industry sectors of 30 provinces in China during the same period were allowed, to answer the question that whether the industrial carbon emission abatement cost can (partially) be recovered from carbon emission trading in China.

The joint production framework associated with the environmental technology is utilized for formulating the models for estimating abatement costs and simulating emission permits trading scheme. Several data envelopment analysis-based models that could deal with both the desirable and undesirable outputs within the above framework are utilized for abatement cost saving estimation. The weak disposability assumption and variable returns to scale assumption are applied in the modelling.

In China’s industry sector, during 2006-2010, the estimated CO₂ emission abatement cost was 1,842 billion yuan, which accounts for 2.45 per cent of China’s total industrial output value; the emission abatement cost saving from emission permits trading would be 315 billion yuan, which accounts for 17.12 per cent of the emission opportunity abatement cost; and additional 1,065.95 million tonnes of CO₂ emission reductions would be realized from emission permits trading, and this accounts for 4.75 per cent of the total industrial CO₂ emissions.

The estimation is implemented at the regional level, i.e. the emission permits trading subjects are the whole industry sectors in different Chinese provinces, because of the data limitation in this study. Further estimation could be implemented at the enterprise level to provide a deeper insight into the abatement cost recovery from emission permits trading.

The estimation models and calculation process introduced in this study could be applied for evaluating the efficiency and effectiveness of pollutant emission permits trading schemes from the perspective that whether these market-based abatement policy instruments help to realize the potential abatement cost savings.

To the best of the authors’ knowledge, no study has provided the estimation of CO₂ emission abatement cost and the estimation of CO₂ abatement cost saving effect from emission permits trading for China’s industry sector. This study provides the first attempt to fill this research gap.

The purpose of this paper is to explore the nature of rural energy transition in cooking options in India. Although India is aiming to achieve a double-digit economic growth, a large share of rural households still rely on firewood for cooking which not only has serious repercussions of increasing indoor pollution but also has a concomitant adverse effect on women and child morbidity and mortality. However, transition to clean energy options like improved cookstoves for these households may not be necessarily linear. It is often driven or resisted by latent factors such as caste, trust, social capital, information flow, social positioning of clusters that are deeply embedded in the social and cultural norms and values specific to local rural contexts. This has been shown in the present case study that pertains to eight villages in the remote and deprived Purnea district of Bihar and the need for internalizing them in the macro energy policymaking has been established in the paper.

The paper applies a macro foundation research that is complemented by micro foundation tools of fuzzy cognitive mapping-based mental model framework to achieve the purpose of the study. Focused-group discussions and interviews are also conducted to establish the narrative of the paper.

Caste, socio-political position, asset structure, remoteness, culture and technology access affect rural households’ decision making capability that is related to shifting from using the traditionalmeans of firewood and biomass based traditional cookstoves for cooking to adopting improved clean cooking stoves which will enable the transition toward the use of clean rural energy in the eight villages in Bihar chosen for this study.

The findings of the paper have larger implications for the broader macro energy policymaking in the country by taking into account the non-linear, latent factors of village contexts.

The research will help energy policymakers in decision-making and will guide the implementation process of national- and state-level policies on rural energy transition in India.

The findings of the paper will help the smoother implementation of national- and state-level rural energy transition policies for cooking, creating developmental dividends for rural Indian households.

The research is new with regard to the application of non-deterministic fuzzy cognitive mapping-based mental model approach to contribute to the country’s national- and state-level rural energy transition policies.

The purpose of this paper is to focus on global energy consumption using the economic growth nexus, the prevalent energy hypothesis at a global level and the impact of the main historical events assessed for the period from 1965 to 2015.

Given the confirmed presence of endogeneity and cointegration between energy consumption and economic growth, a vector error correction with structural dummies model was used. Furthermore, the impulse-response functions and variance decomposition were computed to evaluate the variables’ dynamics.

Bi-directional causality running from energy consumption to economic growth was found, both in the short and long-run, supporting the feedback hypothesis. It is proved that the 2008 crisis impacted on the global energy–growth nexus. Furthermore, there is evidence of the impact of the 1990s oil price shock on the nexus. Innovations in energy consumption have a positive impact on economic growth; however, this impact tends to be null in the long run.

The results suggest that at a global level, any energy policy should be carefully designed in order not to hamper economic growth. Countries should not remain indifferent to the policies that other countries might follow. Very few historical crises impacted on the global energy–growth nexus.

This paper offers a different approach to the study of the energy–growth nexus. The energy–growth nexus is analysed in the major macroeconomic aggregate. Global variables reveal their relevance as a benchmark in the energy–growth nexus. Furthermore, this paper arrives at some conclusions about how historical crises impact on global relationships.

This paper aims to examine the relationships between socioeconomic development, renewable energy and the innovative process by providing: a descriptive analysis; a co-occurrence analysis of terms, thematic mapping and conceptual structure; and the typology of the textual corpus.

To analyze the relationship between “renewable energies, socioeconomic development and the innovative process,” it is necessary to build a theoretical foundation that contains the relevant scientific studies and reflects the current state of the art on the subject. For this, this study developed a systematic literature review (SLR) using the preferred reporting items for systematic reviews and meta-analyses research protocol to answer the relationship on the theme.

Research shows a global understanding of the need to invest in developing studies to reduce carbon dioxide emissions and improve economic growth. The main contributions lie in providing a typology of the state of the art, identifying the joint relationships between themes, insights into the key themes and indicating themes that must be developed. This study may also support future empirical studies as it provides a theoretical foundation for formulating hypotheses, which can be tested through qualitative and quantitative approaches.

The innovative character consists of addressing a shortage of SLRs on this theme. Thus, this paper fills this gap by providing a theoretical foundation for future scientific and academic knowledge generation. Furthermore, regarding the interdisciplinary aspects of this research as contributions, this paper presented different approaches and theoretical perspectives.

The purpose of this study is to systematically review the state-of-art literature on the net-zero economy in the field of supply chain management.

A systematic literature review of 79 articles published from 2009 to 2021 has been conducted to minimise the researchers' bias and maximise the reliability and replicability of the study.

The thematic analysis reveals that studies in the field of net-zero economy have mostly been done on decarbonisation in the supply chain, emission control and life cycle analysis and environmental and energy management. The findings highlight the strong positive association between digitalisation, circular economy and resources optimization practices with net-zero economy goals. The study also addresses the challenges linked with the net-zero economy at the firm and country levels.

Practitioners in companies and academics might find this review valuable as this study reviews, classifies and analyses the studies, outlines the evolution of literature and offers directions for future studies using the theory, methodology and context (TMC) framework.

This is the first study that uses a structured approach to analyse studies done in the net-zero field by assessing publications from 2009 to 2021.

This paper aims to explore the quantile-specific short- and long-term effects of economic policy uncertainty (EPU) on the efficiency of the green bond market.

This study examines the long-term cointegration relationship and the short-term fluctuation relationship of EPU, WTI crude oil price (WTI) and European Union Allowances price (EUA) with the green bond market efficiency (GBE) using the quantile autoregressive distributed lag method. Additionally, the authors analyze the differences before and after the Covid-19 pandemic.

EPU has a significant positive impact on the GBE before the outbreak. However, during the crisis period, the impact of EPU and WTI was greatly weakened, whereas the impact of EUA was strengthened.

This paper demonstrates the dynamics of GBE and its influencing factors under different periods. The findings provide insights for market participants and policymakers to gain a clearer understanding of the green bond market.

This paper extends the study of green bonds by quantifying the GBE and elucidating the nonlinear relationship between efficiency and independent variables at different quantiles over different periods.

The purpose of this paper is to offer a critique of government intervention in the production of biofuel in northern Sweden and Finland, highlighting some of the welfare consequences.

After a short review of government interventions, including laws, taxes and subsidies, Austrian economic principles are applied, which lead to universal statements about the impacts of government intervention.

Government intervention on behalf of the biofuel production industry leads to the emergence of an investment bubble, with consequential negative impacts on welfare.

The paper informs about the true costs of intervention in biofuel production, which suggests that policy makers may abstain from justifying interventions for the sake of increasing people's welfare.

The paper contributes to the research of the production impacts of a new energy technology in the form of biofuel in particular and of governmental intervention in production in general. The paper, furthermore, enhances the use of the method and theory of the Austrian school of economic science.

This paper empirically assesses energy efficiency (EE) adoption among firms by examining the factors that drive investment in EE in the Onitsha plastic cluster, South-East, Nigeria.

Self-administered questionnaires were delivered to the selected enterprises. A total of 450 questionnaires were administered of which 423 were certified valid and used for the analysis. A Heckit model was developed and estimated.

Gender, firm size, Joneses effect and expected cost reduction benefits are the significant determinants of EE investment. However, firm structure, government incentives, regulatory requirements and reduction of carbon emission are insignificant drivers of EE investment decisions in the Onitsha plastic cluster.

This paper presents a foremost attempt at analysing the determinants of energy investment in a cluster in Nigeria.

The purpose of this paper is to examine whether remittance inflow stimulate electricity consumption in India with other macroeconomic variables such as FDI, trade openness and urbanization in energy demand function from 1975–2017.

We have applied structural break and co-integration tests for stationarity and long-run relationship between the variables. The Toda–Yamamatoo causality is employed for investigation of causal relationship between the variables, and robustness of causality linkages is also tested by applying innovative accounting approach (IAA).

Our empirical analysis shows there is presence of long-run relationship among the variables. We find that remittance inflows stimulate electricity consumption in India. Industrialization is positively linked with electricity demand. However, trade openness declines the electricity consumption, but urbanization increases it. Furthermore, remittances inflows cause electricity consumption.

On the basis of findings, we conclude that due to positive impacts of remittances inflows, trade openness and urbanization, policymakers in the Indian economy need to be careful while designing sustainable environment policy. Otherwise, any sustainable environment policy in the name of protecting green environment will hamper the growth of remittance inflows, urbanization and FDI. If this exists, it may be argued that sustainable growth in India will not be possible in the face of sustainable environment policy.