Industrial characteristics and air emissions: Long-term determinants in the UK manufacturing sector

Agnolucci, Paolo; Arvanitopoulos, Theodoros

doi:10.1016/j.eneco.2018.12.005

Cited by 39 publications

(18 citation statements)

References 53 publications

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“…This study differs in that we use panel data for 16 manufacturing sectors for the period 2009-2014. Sectors differ in their energy use and pollution intensity (Agnolucci & Arvanitopoulos, 2019;Cole et al, 2005), and therefore, we argue in this paper, their approaches to sustainability may be different.…”

Section: Empirical Frameworkmentioning

confidence: 95%

“…The focus of this paper is on coercive pressures. Coercive isomorphism might be apparent at the sectoral level, as sectors differ with respect to their energy and pollution intensity, and consequently pollution regulations and taxes could be more or less stringent in specific sectors (Agnolucci & Arvanitopoulos, ; Cole et al, ). This would, in turn, affect compliance with, and adoption of, eco‐certification.…”

Section: Theory and Hypothesesmentioning

confidence: 99%

“…First, we contend that coercive institutional pressures, such as government mandates (DiMaggio & Powell, ; Oliver, ), are driving the adoption of EMSs. Considering that sectors differ in the intensity of their energy use and levels of pollution, the pressures to comply with regulations across sectors also differ (Agnolucci & Arvanitopoulos, ; Cole, Elliott, & Shimamoto, ). Second, we argue that EMSs are more readily adopted in sectors that have already implemented quality management systems such as ISO 9001.…”

Section: Introductionmentioning

confidence: 99%

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Driving sectoral sustainability via the diffusion of organizational eco‐innovations

2019

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Using insights from institutional literature, the resource‐based theory of the firm, and internationalization, we explain variations in the diffusion of organizational eco‐innovations. Studies have previously reported that the drivers of eco‐innovation are regulatory pressures, technology push, market pull, and firm factors. But relatively little attention has been paid to nontechnological forms of eco‐innovation, such as environmental management systems (EMS). Consequently, how exactly to encourage EMS adoption across sectors is still unclear. We attempt to address this question by combining sectoral panel data (2009–2014) from a number of sources in Spain. The econometric analysis reveals that environmental policy is driving the adoption of ISO 14001 largely due to differences across sectors in energy and pollution intensity. In addition, the adoption of ISO 9001 increases the use of ISO 14001 in industry because of complementarities between the two systems. Third, in highly internationalized sectors, firms adopt a greater amount of ISO 14001.

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Section: Empirical Frameworkmentioning

confidence: 95%

Section: Theory and Hypothesesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Driving sectoral sustainability via the diffusion of organizational eco‐innovations

2019

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“…In addition to the study of the general relationship between economic growth and environmental sustainability, the literature has also deepened the territorial aspects of this relationship [31][32][33][34], specifically several studies have focused their analysis on the BRICS (Brazil, Russia, India, China, and South Africa) [35][36][37].…”

Section: Literature Reviewmentioning

confidence: 99%

R&D Expenditure for New Technology in Livestock Farming: Impact on GHG Reduction in Developing Countries

et al. 2019

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The achievement of the objectives of reducing greenhouse gas (GHG) emissions has increasingly received attention and support from decision makers and research by scholars. The livestock sector has always been one of the major sources of GHG emissions, especially in developing countries that do not have green technologies to improve the management of livestock waste. In order to achieve an absolute reduction in emissions, developed countries have applied a wide range of mitigation options; however, there are few studies from the developing world, although greenhouse gas emissions in developing countries have registered a rapid growth. Therefore, this research aims to assess and understand whether public R&D investments can affect emissions deriving from the livestock sector in developing countries. We made use of the FAOSTAT data (FAO Statistical Databases United Nations) and ASTI data set (Agricultural Science and Technology Indicators), collecting data from 29 Africa countries, in 2014 (latest data available). The data were analyzed by means of a Generalized Propensity Scores (GPS) approach, an increasingly widespread technique that is more robust than regression models, especially in small datasets. Our analysis suggests that the livestock sector in these countries shows an improvement in its relationships with the environment and GHG emission levels when the level of public R&D (Research and Development) investment on agriculture is greater. Therefore, reducing greenhouse gas emissions by investing in research and development can lead to more efficient and sustainable resource management for developing countries.Future in-depth studies should broaden these results by assessing in developing countries the impact of public investment in R&D on GHG emissions also in relation to other key factors such as environmental regulation, market demand, environmental management systems and organizational innovations. Author Contributions: Conceptualization: M.F., U.M. and N.F.; Data curation: A.S. and N.F.; Formal analysis: A.S., M.F.; Investigation: M.F. and N.F.; Methodology: A.S.; Resources: N.F.; Software: A.S.; Supervision: A.S. and M.F. Funding: This research received no external funding. Conflicts of Interest:The authors declare no conflicts of interest.

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“…Air pollution, with industrial smoke being its primary source, has seriously damaged the public's physical and mental health, as well as the economic development [1–4]. Industrial smoke is one of the main sources of air pollution [5]. The most straightforward solution to reduce air pollution and improve air quality is to control and regulate gas emissions in the process of industrial production.…”

Section: Introductionmentioning

confidence: 99%

Target segmentation of industrial smoke image based on LBP Silhouettes coefficient variant (LBPSCV) algorithm

Liu

Zhang

et al. 2020

IET image process

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Industrial characteristics and air emissions: Long-term determinants in the UK manufacturing sector

Cited by 39 publications

References 53 publications

Driving sectoral sustainability via the diffusion of organizational eco‐innovations

Driving sectoral sustainability via the diffusion of organizational eco‐innovations

R&D Expenditure for New Technology in Livestock Farming: Impact on GHG Reduction in Developing Countries

Target segmentation of industrial smoke image based on LBP Silhouettes coefficient variant (LBPSCV) algorithm

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