Forthcoming Articles

International Journal of Innovation and Sustainable Development

International Journal of Innovation and Sustainable Development (IJISD)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Innovation and Sustainable Development (2 papers in press)

Special Issue on: OA Interdisciplinary Research of Energy Application, Governance, and Policy for Sustainability

  •   Free full-text access Open AccessMachine learning model for dynamic cost assessment of power cable tunnel construction
    ( Free Full-text Access ) CC-BY-NC-ND
    by Ming Fang, Yifeng Lai, Handong Lu, Chuang Wang 
    Abstract: In order to improve the accuracy and adaptability of project cost evaluation, a dynamic cost evaluation model based on gradient boosting decision tree (GBDT) algorithm is proposed. In this study, dynamic evaluation refers to the updating of input variables based on stages and the rolling prediction of construction cost with the change of project information during the construction process. Data of 100 cable tunnel projects were collected and preprocessed, including tunnel length, buried depth, cross-sectional area, geological type, material price, construction period and construction cost. The results show that the model has better prediction performance when the decision tree depth is 5, the learning rate is 0.01 and the sub-sampling rate is 0.8. The proposed method can provide auxiliary support for the preliminary cost estimation, cost correction and cost early warning of cable tunnel projects.
    Keywords: cable tunnel; construction cost; dynamic assessment; machine learning model; cost composition.
    DOI: 10.1504/IJISD.2026.10080828
     

Regular Issues

  • Assessing green innovation efficiency and emissions reductions in G20 economies: a data envelopment analysis and panel regression approach   Order a copy of this article
    by Maria Letiția Andronic, Gheorghița Dincă, Dana Adriana Lupșa-Tătaru 
    Abstract: This study investigates green innovation efficiency (GIE) and carbon dioxide emissions among the Group of Twenty (G20) economies over the period 1997-2019. Eco-innovation performance is evaluated using data envelopment analysis (DEA), incorporating both technical efficiency scores and the Malmquist productivity index (MPI). The results identify a leading benchmark economy distinguished by a robust implementation of green technological innovation and environmental protection strategies, as reflected in the highest total factor productivity (TFP) and catch-up effect within the sample. Moreover, a panel data regression model is employed to assess the influence of technological eco-innovation, green finance, and environmental and social factors on reducing carbon dioxide emissions. Half of the selected variables exhibit a beneficial effect on mitigating undesirable emissions, with one member state consistently emerging as a top performer in environmental sustainability. Overall, the findings highlight the importance of enhancing international cooperation on green technologies and promoting the diffusion of best practices across the G20.
    Keywords: GIE; green innovation efficiency; carbon dioxide emissions; sustainable development; DEA; data envelopment analysis; panel data regression; G20.
    DOI: 10.1504/IJISD.2026.10078890
     

 

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