Search results

The purpose of this paper is to measure technical efficiency of Indian thermal power sector employing the recent by-production approach.

The by-production approach is used in conjunction with data from the Central Electricity Authority (CEA) of India to compute the output-based Färe, Grosskopf, Lovell (FGL) efficiency index and its decomposition into productive and environmental efficiency indexes for the ITPPs

The authors show that given the aggregated nature of data on coal reported by CEA, CEA’s computation of CO₂ emissions through a deterministic linear formula that does not distinguish between different coal types and the tiny share of oil in coal-based power plants, the computed output-based environmental efficiency indexes are no longer informative. Meaningful measurement of environmental efficiency using CEA data is possible only along the dimension of the coal input. Productive efficiency is positively associated with the engineering concept of thermodynamic/energy efficiency and is also high for power plants with high operating availabilities reflecting better management and O&M practices. Both these factors are high for private and centrally owned as opposed to state-owned power-generating companies. The example of Sipat demonstrates the importance of (ultra)supercritical technologies in increasing productive and thermodynamic efficiencies of the ITPPs, while also reducing CO₂ emitted per unit of the net electricity generated.

This paper uses the by-production approach for the first time to measure technical efficiency of ITPPs and highlights how the nature of the Indian data impacts on efficiency measurement.

This paper aims to detail the design of a campus climate change strategy, transport strategy and paper reduction strategy at the University of Technology, Sydney (Australia).

The approach to strategy development used desktop research and staff/student consultation to inform the development of objectives, targets and actions for each strategy. The strengths and weaknesses of the governance structures for strategy design and implementation are also discussed.

A selection of targets are given here, with further details of objectives and actions in the main text. Climate change: reduce emissions by 11 percent by 2012/2013, 30 percent by 2020. Transport: double the proportion of staff/student commuting trips by walking and cycling to 35 percent by 2011. Paper reduction: by 2011, decrease paper purchased by 20 percent and increasing recycled paper use to 30 percent. The momentum generated by the strategy development shows that it can play a significant role in creating a more sustainable university.

Practical guidance for universities and organisations undergoing organisational change for sustainability is given with a focus on: how to engage with staff and students to develop shared aspirations and reflect these in tangible objectives, targets and actions; and, how to evolve organisational structures to implement strategies and create a sustainable higher education institution.

The value of this work lies in the frank reflections on the processes used to engage stakeholders and develop the strategies as well as with the tangible targets and actions presented which will be of interest for other universities seeking to benchmark their own activities.

This study aims to analyze the relationships between knowledge management and co-evolvement to green product and process design and green manufacturing and logistics. Besides, this study also analyses the direct and indirect effects of corporate environmental strategy, knowledge management and co-evolvement.

The data used in this study were collected by a survey of Indian manufacturing firms and analyzed by a variance-based structural equation modeling technique to test the hypotheses.

The results suggested that knowledge management and co-evolvement have significant positive relationships to green product and process design and green manufacturing and logistics. Likewise, corporate environmental strategy has positive effects on knowledge management and co-evolvement.

Manufacturing firms should invest and deploy corporate environmental strategies to develop knowledge management and co-evolvement capability that foster green product and process design and manufacturing and logistics.

This study investigates the role of knowledge management and co-evolvement to improve green product and process design and green manufacturing and logistics. The uniqueness of this study is that it investigates novel direct and indirect relationships between corporate environmental strategy and knowledge management and co-evolvement.

Emission reduction methodologies alone are not sufficient to mitigate the climatic catastrophes caused due to ongoing carbon emissions. Rather, a bidirectional approach is required to decarbonize the excess carbon in the atmosphere through carbon sequestration along with carbon reduction. Since the manufacturing sector contributes heavily to the ongoing carbon emissions, the purpose of this paper is to propose a framework for carbon emission reduction and carbon sequestration in the context of the manufacturing industry.

In this paper, life cycle assessment (LCA) is employed to track the carbon emission at each stage of the product development life cycle. The pre-requisite for this is the accurate evaluation of the carbon emissions. Therefore, IoT technologies have been employed for collecting real-time data with high credibility to perceive environmental impact caused during the entire life cycle of the product. The total carbon emission calculation is based on the bill of material (BOM)-based LCA of the product to realize the multi-structure (from parts and components to product) as well as multi-stage (from cradle to gate) carbon emission evaluation. Carbon sequestration due to plantation is evaluated using root-shoot ratio and total biomass.

A five interwoven layered structure is proposed in the paper to facilitate the real-time data collection and carbon emission evaluation using BOM-based LCA of products. Further, a carbon neutral coefficient (CNC) is proposed to indicate the state of a firm’s carbon sink and carbon emissions. CNC=1 indicates that the firm is carbon neutral. CNC >1 implies that the firm’s carbon sequestration is more than carbon emissions. CNC <1 indicates that the firm’s carbon emission is more than the carbon sink.

The paper provides a novel framework which integrates the real-time data collection and evaluation of carbon emissions with the carbon sequestration.

Within an effort of European Union (EU) policy to achieve carbon-neutral agriculture, the present study intends to explore the impact of carbon emissions generated by different sources related to agriculture namely energy used in farming, by enteric fermentation and by fertilizers on agricultural income in 25 countries from EU.

In order to evaluate the environmental – economic performance linkage for EU agriculture, we employ a couple of different widely used panel unit root tests explicitly Levin, Li and Chu, Im, Pesaran and Shin, ADF and PP Fisher Chi-square test cointegration test (Pedroni and Kao cointegration tests) and model estimation methodologies namely the FMOLS and DOLS and ARDL – PMG models.

All the cointegration techniques employed namely Pedroni, Kao test and Johansen Pesaran cointegration tests validate the existence of long run relationships. The most significant finding is the model estimation based on three different methodologies namely FMOLS, DOLS and ARDL/PMG models. No convergence in the results was found by different estimation models. For the short term coefficients and more specifically for the case of carbon emissions generated by energy the impact on agricultural income seems to be decreasing with a decreasing trend, a result that validates the little effort made by farmers to limit carbon emissions along with the limited efficacy of the implementing policy. The same findings are valid for the first two estimation models while for the case of the third model the reversed relationship is validated. For the carbon emissions generated by enteric fermentation, the inverted-U pattern is validated with DOLS and ARDL/PMG model while for the case of fertilizers only the third model confirms the validity of inverted-U- pattern.

Based on the obtained empirical results, a list of policy implications is unveiled with multiple impacts on the strategy and practices adopted by farmers in order for the objective of eco efficieny to be achieved.

The conducted research is focusing on the environmental – economic performance linkages for EU agriculture and examines the role of agri – environmental policy in the evolution of the particular relationship for different sources of environmental pollution in agricultural activity.

The purpose of this paper is to investigate impacts of policy instruments for market penetration of renewable technologies in South Africa. Based on the current debates about renewable energy policies and the comparative advantage of the country in terms of coal resources the author set up a framework focusing on renewable energy price subsidies, carbon tax and renewable energy portfolio standard.

Using a simulation model through a linear programming approach the paper assesses impacts of those policies on fossil fuel and renewable energy sectors via business‐as‐usual and policy option scenarios. The business‐as‐usual assumes that there are not policy instruments mobilized to promote adoption and diffusion of clean technologies instead of a policy scenario where such policies are included.

The results of the analysis show that when the coal‐based resources are integrated in the simulation process, only carbon tax and renewable energy price‐based subsidies promote a transition towards a sustainable energy production, therefore reduce the associated environmental damage.

Moreover, the paper also shows that in the case of carbon tax and renewable price subsidies, emission prices should be adequately scrutinized in order to guarantee a positive economic surplus.

Recent developments in the electricity generation sector of Nigeria necessitated the re-assessment of its contribution to air emission level in the country as information provided by previous inventory is nearly out-of-date. The purpose of this paper is to quantify the carbon dioxide (CO₂) emissions generated from existing thermal power plants in the country.

Thermal power plants in Nigeria and their installed capacities were identified, and estimation of CO₂ emission from each of the plants was carried out using the emission factor method. In addition to the direct emissions generated through the combustion operation of the power plants, indirect emissions resulting from upstream activities such as extraction, production, and transportation of fuels consumed by the thermal power plant was determined using the same method.

In total, 40 thermal power plants are currently operational in Nigeria. Additional 18 thermal plants are at different stages of completion. The operational thermal plants have average generation output of 40 percent of their installed capacity and produce 87.3 million metric tonne (mmt)/annum CO₂ emissions. In total, 66.9 percent of the estimated emissions are direct emissions, i.e. fuel combustion emissions; the rest are indirect emissions. Additional 67.9 mmt was estimated as expected overall emissions from the thermal power plants under construction. Considering the global warming potential of CO₂, proactive measures must be taken to regulate its emissions from the country’s thermal power plants.

This paper bridged the information gap existing in the emission inventory from the Nigeria electricity sector by providing up-to-date data on the contribution of the sector to greenhouse gas emission level in the country.

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

The purpose of this paper is to propose a framework of green strategies as a combination of energy-efficiency measures and solutions towards environmental impact reduction for improving environmental sustainability at logistics sites. Such measures are examined by discussing the related impacts, motivations and barriers that could influence the measures' adoption. Starting from the framework, directions for future research in this field are outlined.

The proposed framework was developed starting from a systematic literature review (SLR) approach on 60 papers published from 2008 to 2022 in international peer-reviewed journals or conference proceedings.

The framework identifies six main areas of intervention (“green strategies”) towards green warehousing, namely Building, Utilities, Lighting, Material Handling and Automation, Materials and Operational Practices. For each strategy, specific energy-efficiency measures and solutions towards environmental impact reduction are further pinpointed. In most cases, “green-gold” measures emerge as the most appealing, entailing environmental and economic benefits at the same time. Finally, for each measure the relationship with the measures' primary impacts is discussed.

From an academic viewpoint, the framework fills a major gap in the scientific literature since, for the first time, this study elaborates the concept of green warehousing as a result of energy-efficiency measures and solutions towards environmental impact reduction. A classification of the main areas of intervention (“green strategies”) is proposed by adopting a holistic approach. From a managerial perspective, the paper addresses a compelling need of practitioners – e.g. logistics service providers (LSPs), manufacturers and retailers – for practices and solutions towards greener warehousing processes to increase energy efficiency and decrease the environmental impact of the practitioners' logistics facilities. In this sense, the proposed framework can provide valuable support for logistics managers that are about to approach the challenge of turning the managers' warehouses into greener nodes of the managers' supply chains.