Assessing energy efficiency in the Asia-Pacific region and the mediating role of environmental pollution: evidence from a super-efficiency model with a weighting preference scheme

Baloch, Zulfiqar Ali; Tan, Qingmei; Khan, Muhammad Zubair; Alfakhri, Yazeed; Raza, Hassan

doi:10.1007/s11356-021-13663-6

Cited by 34 publications

(13 citation statements)

References 73 publications

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“…The Western equivalents of the Chinese concept of "sector chain" are "supply chain" and "value chain," respectively. Researchers have looked at supply chain robustness, specifically at its evolution process, assessment, control, and optimization (Baloch et al 2021). The agility of the supply chain and entity cooperation potential (B.…”

Section: Resultsmentioning

confidence: 99%

Optimization path of agricultural products marketing channel based on innovative industrial chain

Zhai

Liu²,

Wang

2023

Econ Change Restruct

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Optimization path is a complicated issue to manage the manufacture and distribution of fresh food, influenced by several parameters, such as its perishability. Producers cannot ensure that manufacturing and distribution decisions will be efficient and accurate. Using 15 prefecture-level cities in China as a case study, this paper gathers and organizes relevant data indicators of rural economy and agricultural ecological environment economic recovery for the period between 2008 and 2020, builds the composite evaluation index, determines the development index using the reporting system function, and finally employs a novel digital evaluation scheme to assess the coupling and coordination between the cities over time. The following inferences are made. To begin, linear growth with uneven regional development may be seen in the rural economy's complete level index (values from 0.422 to 0.622). The objective of the study is to address the two-stage collaborative planning challenge to maximize farmer income by promoting the economic recovery. This article offers a mixed-integer processing paradigm to account for these restrictions. Calculations show that the suggested collaborative planning model may increase farmers' distributing revenue by 7.98% compared to the existing independent decision-making distribution channel. Management thoughts have been developed based on various decision scenarios. Agricultural producers must sort and bundle their products with care and work with a fast and reliable delivery business and on time to deliver their items. Furthermore, the approach can assess the influence of distribution routes on producers' revenues.

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Section: Resultsmentioning

confidence: 99%

Optimization path of agricultural products marketing channel based on innovative industrial chain

Zhai

Liu²,

Wang

2023

Econ Change Restruct

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“…Businesses are raising the general public’s knowledge of environmental issues as a result by implementing strategies like “CSR reporting,” “sustainability,” and “triple bottom line.” These reports make a case for visibility and transparency to a wide range of stakeholders, including shareholders, governments, NGOs, trade unions, clients, and other stakeholders (Baierle et al 2022 ). More generally, the body of research implies that more stakeholder inclusion will help organizations using EV (Baloch et al 2021b ) (Qian and Chen 2021 ). Stakeholder input is included in environmental disclosure, which helps us improve our internal environmental policy (Qian and Chen 2021 ) and boosts market competitiveness (Floričić 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

The implementation of green supply chain management (GSCM) and environmental management system (EMS) practices and its impact on market competitiveness during COVID-19

Das

Tunio

et al. 2023

Environ Sci Pollut Res

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Despite great academic interest in global green supply chain management (GSCM) practices, its effectiveness for environmental management systems (EMS) and market competitiveness during COVID-19 remains untapped. Existing literature suggests that a fundamental link between GSCM, EMS, and market competitiveness is missing, as supply management is critical to maintain market competitiveness. To fill this gap in the literature, this study examines whether environmental management systems influence the link between GSCM practice and market competitiveness in China. We also propose the articulating role of big data analytics and artificial intelligence (BDA-AI) and environmental visibility toward these associations in the context of the COVID-19 pandemic. We evaluated the proposed model using regression-based structural equation modeling (SEM) with primary data ( n = 330). This result provides empirical evidence of the impact of GSCM on EMS and market competitiveness. Moreover, the results show that the BDA-AI and the environmental visibility enhanced the positive relationship between GSCM-EMS and EMS and market competitiveness in China. Recent research shows that supply chain professionals, policymakers, managers, and researchers are turning to formal EMS, BDA-AI, and environmental visibility to help their organizations achieve the competitiveness that the market indicates they need.

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“…An efficiency of 1 for the evaluating subject indicates that the efficiency level of the decision-making unit has reached a valid state. When multiple decision-making units are in a valid state, the SBM model cannot evaluate which decision-making unit is more efficient, and the super SBM model can make up for this defect (Baloch et al, 2021). In order to consider the negative impact of energy consumption on the ecological environment, the super SBM model, including undesired output, is the best way to estimate energy efficiency (Meng and Qu, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Energy and air? The impact of energy efficiency improvement on air quality in China

Liu²,

Tsering-Xiao

et al. 2022

Preprint

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Energy shortage and air pollution are the two key issues hindering global economic development. And the optimal measure to improve air quality is by increasing energy efficiency. The influence of energy efficiency, socioeconomic and natural climatic factors on air quality is analyzed under the theory of STIRPAT. The energy efficiency is measured using the super SBM model while air pollutants are estimated by sulfur dioxide (SO2), nitrogen oxides (NOx) and dust and smoke (DS). It is highly coupled between the energy efficiency and the spatial distribution of air quality. Increased energy efficiency can improve air quality by reducing SO2 and NOx, but the impact on DS is not significant. Air pollutants decrease by about 0.5313% for every 1% increase in temperature and 0.1046% for every 1% increase in precipitation. Consumption will exacerbate air pollution, and there is an inverted U-shaped relationship between population density, economic scale, urbanization, technology innovation and air pollution. It is worth mentioning that this work adds temperature and precipitation to the STIRPAT as natural climatic factors, analyzing the impact of energy efficiency on air pollution under the two-factor restrictions of socioeconomic and natural climatic factors. Finally, management suggestions are made in order to improve air quality.

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Assessing energy efficiency in the Asia-Pacific region and the mediating role of environmental pollution: evidence from a super-efficiency model with a weighting preference scheme

Cited by 34 publications

References 73 publications

Optimization path of agricultural products marketing channel based on innovative industrial chain

Optimization path of agricultural products marketing channel based on innovative industrial chain

The implementation of green supply chain management (GSCM) and environmental management system (EMS) practices and its impact on market competitiveness during COVID-19

Energy and air? The impact of energy efficiency improvement on air quality in China

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