Digital transformation and environmental sustainability in industry: Putting expectations in Asian and African policies into perspective

Kunkel, Stefanie; Matthess, Marcel

doi:10.1016/j.envsci.2020.06.022

Cited by 152 publications

(81 citation statements)

References 31 publications

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“…Considerable literature on the nexus between industrial digital transformation and environmental performance is available, but empirical studies show con icting results (Berkhout and Hertin, 2001;Haseeb et al, 2019;Kunkel and Matthess, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…With the development of the big data analytic, cloud computing, arti cial intelligence, Internet of Things, and other next-generation information and communications technology (ICT), the industrial sectors around the world are at a critical stage of integration with the digital economy. Digital transformation has gradually become a new pathway for the sustainable development of industrial economy, and digital technology has become the driving force of economic growth (Kunkel and Matthess, 2020). In addition, environmental quality has been declining in industrializing countries, and the environmental performance of manufacturing enterprises in these countries tends to be poor (Wen and Lee, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Empirically, some studies show the environmental bene ts from ICT adoption (Lu, 2018;Khan, 2019), whereas others nd that ICT adoption increases energy consumption and pollution (Park et al, 2018;Avom et al, 2020). Berkhout and Hertin (2001), Beier et al (2018), and Kunkel and Matthess (2020) propose a theoretical framework, which classi es the environmental effects of ICT adoption into two aspects, to reconcile the two pieces of con icting evidences. The rst is the direct effect, which means that ICT increases the energy consumption and resource use in the life cycle, thus reducing environmental performance (Berkhout and Hertin, 2001).…”

Section: Introductionmentioning

confidence: 99%

“…The rst is the direct effect, which means that ICT increases the energy consumption and resource use in the life cycle, thus reducing environmental performance (Berkhout and Hertin, 2001). The second is indirect effect, which indicates that ICT adoption affects the production scale, product structure, and process e ciency, thus affecting environmental performance (Beier et al, 2018;Kunkel and Matthess, 2020). Both effects form a nonlinear relationship between ICT penetration and pollutant emissions, leading to inconsistent conclusions drawn from different samples (Higón, 2017;Avom et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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How Does Industrial Digitalization Affect Enterprise Environmental Performance?

Wen

Song

2021

Preprint

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Despite the increasing use of digital technology in industrial production, how industrial digitalization affects the environmental performance of production activities remains unclear. This research contributes to the literature on the relationship between industrial digitalization and enterprise environmental performance by employing a large sample of Chinese manufacturing enterprises. Results indicate that the environmental performance of manufacturing enterprises has been significantly improved in the process of industrial digital transformation. Structural and technology effects are the influencing mechanisms. Industrial digitalization reduces the production scale of heavy polluting enterprises and improves product innovation and green total factor productivity, but it has an insignificant effect on total factor productivity. Moreover, industrial digitalization improves enterprise environmental performance by introducing front-end cleaner production technologies, rather than by increasing pipe-end pollutant treatment facilities.JEL Classification: Q56, O13, L86

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

How Does Industrial Digitalization Affect Enterprise Environmental Performance?

Wen

Song

2021

Preprint

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“…According to the latest research, sustainability in the production industry strongly depends on the use of information and communication technologies [1]. As it was indicated in [2], manufacturing firms should focus more on real-time learning from large data and contextual decision making, which will reduce the complexity of human decisions.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric Techniques—A Case Study for Induction Motors

Leszczyński¹,

Jasiński²

2020

Sustainability

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The cost estimation of a product’s life cycle is a key factor in the product design process. The research is based on an innovative model of artificial neural networks (ANNs) compared to a parametric estimation. Introducing modern elements of information technologies in the area of cost estimation for a production company is a vital element of its sustainability in the era of Industry 4.0. The presented modern product life cycle cost estimation tool in the form of ANN is a reliable source of forecast that is the basis for the product life cycle cost reduction program, which is a crucial element of sustainability. Research shows that ANNs are a viable alternative to parametric cost estimation. The percentage error between estimated and historical cost values is 8.05 times lower for ANN than for the parametric approach. ANN is an adequate cost estimation model for technologically complex products. The second contribution is using technical specifications required by the customer directly to estimate the cost of a product’s life cycle automatically. This can translate both into a reduction of the time needed to provide information to the client and the workload of engineers.

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The influence of firm digitalization on sustainable innovation performance and the moderating role of corporate sustainability practices: An empirical investigation

Ardito

2023

Bus Strat Env

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This paper seeks to shed light on the relationship between firm digitalization and the likelihood of launching sustainable innovations (social and environmental, social only, and environmental only), for which the extant research has provided a paucity of evidence. In detail, the role of digitalization is considered in terms of (i) the specific effect of a given digital technology (DT)—among artificial intelligence, cloud computing, robotics, smart devices, big data analytics, high speed infrastructure, and blockchain—and (ii) the effect of the concurrent adoption of multiple DTs (degree of digitalization). Furthermore, the paper assesses if and how the effect of the degree of digitalization is moderated by the implementation of sustainability practices, as the two issues are often treated independently. Research questions are proposed instead of hypotheses. Econometric analysis to answer proposed questions is based on a sample of 14,125 firms, whose information is gathered from the survey Flash Eurobarometer 486. Results reveal that each DT differently affects the likelihood of launching sustainable innovations, while the degree of digitalization is always beneficial. Moreover, it appears that firm digitalization and the adoption of sustainability practices are not complementary. All in all, this paper helps to illuminate current representations of the interplay between digitalization, sustainability practices, and sustainable innovations at the firm level, with implications for research, managerial practice, and policymaking.

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Digital transformation and environmental sustainability in industry: Putting expectations in Asian and African policies into perspective

Cited by 152 publications

References 31 publications

How Does Industrial Digitalization Affect Enterprise Environmental Performance?

How Does Industrial Digitalization Affect Enterprise Environmental Performance?

Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric Techniques—A Case Study for Induction Motors

The influence of firm digitalization on sustainable innovation performance and the moderating role of corporate sustainability practices: An empirical investigation

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