 Subjects -> CONSERVATION (Total: 128 journals)
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- Sustainable development of a low-carbon supply chain economy based on the
internet of things and environmental responsibility-
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Authors: Zhenhua He, Shurui Gu
Pages: 1 - 23
Abstract: This paper takes the flexible resource attributes of the low-carbon supply chain and its resource allocation as the main research objects, analyses and discusses the flexible resource allocation of the low-carbon supply chain and its resource attribute characteristics, and then studies the effective allocation of the flexible resources of the low-carbon supply chain from the perspective of resource attributes based on low-carbon supply chain theory and methods. This work studies the solution to the mixed algorithm and the robustness of the model and algorithm for the low-carbon supply chain flexible resource allocation model. The results show that this method effectively solves the problem of how to achieve the flexible resource allocation of the low-carbon supply chain. The robustness analysis of the model and algorithm can reasonably solve the problem of how to achieve flexible resource allocation in the low-carbon supply chain.
Keywords: sustainable development; internet of things; environmental responsibility; low-carbon
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 1 - 23
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143113
Issue No: Vol. 28, No. 1 (2024)
- Assessment of clean energy development path based on carbon emission data:
achieving sustainable development goals-
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Authors: Zhenhua He, Shurui Gu
Pages: 24 - 42
Abstract: The development of clean energy is usually influenced by seasonal factors, and traditional manual experience assessment methods often fail to consider these seasonal factors and overlook periodic trends. Through the Holt-Winters method, carbon emission data was comprehensively and accurately evaluated to guide the achievement of sustainable development goals. The relevant carbon emission data was collected, and the Holt-Winters method combined trend, seasonal, and cyclical components to better capture and fit seasonal change patterns, providing more accurate predictions of clean energy development paths. In 2022, the electricity generated by City A using wind power was 31.6% more than that generated by City A using fossil fuels in 2021, and the carbon emissions were 57.1% lower. This data has provided important information for policy makers to help them formulate clean energy policies, regulations, and measures, helping to ensure social, economic, and environmental sustainability.
Keywords: carbon emission data; holt-winters method; clean energy; sustainable development goals; development path
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 24 - 42
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143104
Issue No: Vol. 28, No. 1 (2024)
- An interior design method based on the coupling of I-GWO and self-updating
neural network under the background of green interaction-
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Authors: Zhenhua He, Shurui Gu
Pages: 43 - 57
Abstract: In the context of verdant interplay, interior design is progressively compelled to appraise the equilibrium between ecological sustainability and user experientiality. To this end, this manuscript postulates a novel interior design algorithm rooted in the interaction grey wolf algorithm (I-GWO) conjoined with a self-updating neural network. Initially, a tailored I-GWO is harnessed to fine-tune the interior design proposal, wherein the design quandary is transformed into an optimisation conundrum, thereby deploying the I-GWO to navigate the realm of optimal solutions. Subsequently, a bespoke self-updating neural network is architected, amalgamating convolutional neural networks (CNN) and long-short-term memory (LSTM), thereby refining the design blueprint even further. This contrived neural network evinces the innate capacity to autonomously assimilate and update weights and biases. The nomenclature and precepts of interior design are thereby assimilated through the synergy of the I-GWO and self-updating neural network. Finally, empirical attestations evince the algorithm's meritorious aptitude in optimising interior design schemes while adeptly incorporating considerations of environmental sustainability. The outcomes evince a noteworthy 42.5% enhancement in temporal efficiency when compared to extant state-of-the-art algorithms. Furthermore, the proposed method attains the zenith in convergence efficacy when juxtaposed with six other state-of-the-art algorithms.
Keywords: long-short-term memory; LSTM; optimisation; interior design; green interaction; neural network
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 43 - 57
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143109
Issue No: Vol. 28, No. 1 (2024)
- The influence of perceived brand social responsibility on consumers' green
purchasing behaviour: the mediating role of brand attachment-
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Authors: Zhenhua He, Shurui Gu
Pages: 58 - 72
Abstract: This study examines the complex link between brand social responsibility (BSRP) perception and its impact on consumers' green purchasing behaviour (GPB). Grounded in social cognitive theory, this study explores that whether brand attachment (BA) acts as the mediating factor in how BSRP affects GPB. Additionally, the study explores the moderating role of incentive intention (IncI) in this dynamic relationship. Using data from 644 participants, the research draws a conclusion that BSRP positively influences GPB, emphasising the role of a brand's social responsibility in shaping sustainable consumer behaviour. BA is confirmed as a pivotal mediating factor, explaining how emotional bonds between consumers and responsible brands drive green purchases. Furthermore, the study uncovers the moderating impact of incentive intention (IncI) on the connection between BSRP and BA, highlighting influence factors affecting consumer behaviour in the context of socially responsible brands. These insights provide valuable implications for marketers and policymakers promoting sustainable consumption practices.
Keywords: brand social responsibility; brand attachment; incentive intention; green purchasing behaviour
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 58 - 72
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143106
Issue No: Vol. 28, No. 1 (2024)
- Environmental resource assessment model design based on fuzzy control
algorithm and GIS technology-
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Authors: Lingwei Chen, Yuanliangrui Pan, Cheng Li
Pages: 73 - 89
Abstract: For the purpose of sustainable development, the nation is progressively promoting the dissemination of wind energy resources. This paper utilises wind power generation as a case study and undertakes the establishment of an assessment model for environmental resources. Firstly, it scrutinises the challenges associated with acquiring wind resource distribution data, followed by the introduction of fuzzy control theory. Finally, the paper conducts wind resource assessment utilising the ArcGISEngine10.1 component, employing the processed data obtained through fuzzy logic techniques. Empirical findings evince that this model begets more precise parameters vis-à-vis alternative resolutions, culminating in a 5.2% augmentation in the efficacy of wind power harnessing via the sagacious instantiation of the fuzzy control algorithm. The wind resource distribution cartography of Minnesota, as ascertained by the system, evinces consonance with the spatial dispersal of extant wind agrarian tracts, with wind energy density oscillating from 562.0021 at diverse sites, attaining a zenith of 673.868.
Keywords: fuzzy control algorithm; wind energy resources; GIS; intelligent control; grid dispatch
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 73 - 89
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143108
Issue No: Vol. 28, No. 1 (2024)
- Urban planning and land use using spatiotemporal evolution information
graph model-
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Authors: Man Li, You Xu, Juan Gao
Pages: 90 - 105
Abstract: The purpose of this study was to use a spatiotemporal evolution information graph model to simulate and predict urban land use (abbreviated as LU for convenience) patterns and propose reasonable urban development plans. The calculation of LU pattern based on a fractal model calculated the fractal dimension and patch density of LU, analysed urban spatial structure and divided urban planning (abbreviated as UP for convenience) land into residential land, industrial land, commercial land, public land and green space. The dimensions of these five modules were experimentally analysed. From 2002 to 2012, the dimension D in residential underground spaces was 1.4861-1.5847; that of the industrial underground was 1.4027-1.4457; that of the commercial underground was 1.1231-1.3365; that of the public underground was 1.3149-1.3456; that of the green underground was 0.9567-1.1627. From 2012 to 2022, the dimension D of residential land, industrial land, commercial land, public land and green underground increased to 1.6127, 1.4527, 1.3985, 1.3524 and 1.3357. From the perspective of patch density, the order of change amplitude was residential land > industrial land > public land > commercial land > green land.
Keywords: spatiotemporal evolution; urban planning; geographic information system; patch density; PD
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 90 - 105
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143119
Issue No: Vol. 28, No. 1 (2024)
- Digital innovations and green finance: accelerating carbon neutrality in
enterprise sustainability-
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Authors: Li Han, Congcong Duan, Zhenfei Yao
Pages: 106 - 123
Abstract: Green finance (GF) is a pivotal driver for enhancing carbon-neutrality, ultimately fostering the sustainable development of enterprises. Drawing upon provincial panel data spanning 2007 to 2017, this study examines the impact of GF on carbon-neutrality and its mechanisms. The empirical findings highlight GF's significant positive influence on achieving carbon-neutral goals, a relationship that withstands varying research methodologies. This analysis uncovers disparities in GF's effectiveness in attaining these objectives, as well as spatial spillover effects. Notably, GF's promotion of carbon-neutral goals follows a nonlinear pattern, emphasising the complexity of the relationship. Additionally, green innovation emerges as a mediating force within the GF-driven process of carbon neutralisation (CN). These conclusions hold important policy implications for expediting CN realisation and improving global climate conditions, ultimately contributing to the sustainable development of enterprises.
Keywords: GF; CN; carbon-emission; green-development
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 106 - 123
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143116
Issue No: Vol. 28, No. 1 (2024)
- Circular economy integration in oil and gas sector: case of MENA
countries-
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Authors: Shikhar Dua, Krishna Kumar Dadsena
Pages: 124 - 146
Abstract: One of the world's major concerns is the impact of climate change. This case study aims to use a qualitative approach to examine how the oil and gas industry in the Middle East and North African (MENA) countries has embraced the circular economy (CE) concept. Thematic analysis was adopted as the research method in this study. A purposeful intensity sampling method was adopted. Responses were obtained from fifteen oil and gas industry experts working in MENA countries through one on one interviews. The analysis of the interaction involving the adoption of the circular economy in the oil and gas industry in MENA countries revealed three main themes: 1) the organisation's inclination towards CE; 2) innovations in CE adoption; 3) external pressure to adopt CE. The results show that the MENA countries' oil and gas industries are making good progress toward adopting CE.
Keywords: circular economy; oil and gas; MENA; organisational factors; external pressure; innovations; thematic analysis
Citation: International Journal of Sustainable Development, Vol. 28, No. 1 (2025) pp. 124 - 146
PubDate: 2024-12-03T23:20:50-05:00
DOI: 10.1504/IJSD.2025.143127
Issue No: Vol. 28, No. 1 (2024)
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