Article
Business, Finance
Anis Omri, Bassem Kahouli, Montassar Kahia
Summary: This research investigates the relationship between environmental sustainability and human health outcomes in Saudi Arabia, considering factors such as information and communication technology and technological innovation. The findings suggest that advanced technologies can enhance the influence of environmental performance on human health outcomes.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2024)
Article
Green & Sustainable Science & Technology
Abbas AbdulRafiu, Benjamin K. Sovacool, Chux Daniels
Summary: This paper explores the funding trends, topical themes, and notable gaps in global public research funding across energy, climate change, transport, and industrial decarbonisation from 1990 to 2020. It finds that energy and climate research funding is concentrated within the European Commission, United Kingdom, and United States, with climate change adaptation research being the most funded area. The paper also highlights the diversity in funded disciplines, with social sciences receiving significant support alongside engineering and physical sciences.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Green & Sustainable Science & Technology
Patricio Vladimir Mendez-Zambrano, Luis Patricio Tierra Perez, Rogelio Estalin Ureta Valdez, Angel Patricio Flores Orozco
Summary: ICT in developing countries is crucial for economic growth and development. This study evaluates the use of ICT to reduce socioeconomic gaps in rural populations and promote sustainable development. The results reveal the availability of digital tools, such as AI, ML, drones, apps, and IoT, that improve soil and water management and reduce pollution. However, there is a gap in acquiring state-of-the-art technological equipment, particularly in Latin America compared to Asia, Europe, and North America.
Article
Construction & Building Technology
Amusan Lekan, Aigbavboa Clinton, James Owolabi
Summary: This study aimed to explore the impact of Construction 4.0 on infrastructure design, construction, and maintenance, brought about by innovations from Industry 4.0, and proposed pathways for achieving sustainable innovation and inclusive technological development. Through survey analysis, challenges and critical factors were identified in achieving the automation dream, understanding the social and economic implications, sustainable innovation, and technological development of C4.0.
Article
Environmental Studies
Jie Chen, Shoujun Huang, Tahseen Ajaz
Summary: This study examines the association between natural resources, technological innovation, and environmental sustainability, and finds a stable long-term relationship between natural resources and technological innovations with ecological sustainability. The validity of the Environmental Kuznets Curve in newly industrialized countries is also confirmed.
Article
Business
Guannan Qu, Jin Chen, Ruhao Zhang, Luyao Wang, Yayu Yang
Summary: This study investigates the impact of firms' technological search strategies on breakthrough innovations and finds that both local and distant modes of search have separate and joint effects on firms' breakthrough performance.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Environmental Sciences
Hou Yumei, Wasim Iqbal, Muhammad Irfan, Arooj Fatima
Summary: This study examined the impact of government spending on the performance of the green economy in countries under the Belt and Road Initiative, finding that education and research and development have a positive influence on green economic development. While overall, the green economy was supported by education and R&D, there were heterogeneous impacts on countries with high per capita GDP.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Agronomy
Juan Manuel Vargas-Canales
Summary: Agriculture 4.0 and 5.0 offer hope for meeting the growing demand for food sustainably, but the technological capabilities for adopting new technologies in the Mexican agri-food sector are generally low. The research conducted a cluster analysis and found three clusters of states with different technological capabilities. The results indicate that high technological capabilities are concentrated in specialized regions linked to international markets.
Article
Business
Yuya Kajikawa, Cristian Mejia, Mengjia Wu, Yi Zhang
Summary: This study conducted a systematic review of Technological Forecasting and Social Change (TFSC) using citation network analysis and topic models, revealing the development and future prospects of technology and innovation management research.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Green & Sustainable Science & Technology
Hongwei Li, Sha Pang, Yucui Cao, Junhong Gao
Summary: This study establishes a comprehensive efficiency evaluation index system and a data envelopment analysis model to assess the technology innovation and eco-environment efficiency of 28 provinces in China in 2015. The results indicate a low level of comprehensive efficiency, with technology innovation efficiency having a higher average value than eco-environment efficiency. Most provinces' comprehensive efficiency is mainly influenced by their eco-environment efficiencies. Based on these findings, recommendations for improving China's technology innovation and eco-environment comprehensive efficiency are proposed.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Development Studies
Stephen Taiwo Onifade, Andrew Adewale Alola
Summary: The commitment of emerging countries in clean energy development and carbon-neutral goals is crucial. This study examines the role of environmental-related technological innovations (ERT) in achieving climate neutrality in the E7 countries and finds that increasing ERT can significantly reduce carbon emissions. However, these countries still need to make more efforts to transition to cleaner energy sources.
SUSTAINABLE DEVELOPMENT
(2022)
Article
Green & Sustainable Science & Technology
Dirk Scheer, Maike Schmidt, Marion Dreyer, Lisa Schmieder, Annika Arnold
Summary: This paper introduces the Integrated Policy Package Assessment (IPPA) approach and its relation to technology assessment (TA), sustainability research (SR), and responsible research and innovation (RRI). The IPPA approach provides decision-makers with knowledge on societal transformations through a four-step process and is illustrated with a case study on urban passenger transport. IPPA has substantial ties to TA, SR, and RRI, combining field of TA and regulatory assessment, addressing deliberation processes and sustainable pathways based on multi-criteria assessment, and considering social resonance assessment and stakeholder evaluation. The paper enhances the analysis of policy packages by linking evidence-based impact assessment with transformation pathway mechanisms.
Article
Economics
V. G. R. Chandran, Mohammad Nourani, Sonia Kumari Selvarajan, Angathevar Baskaran
Summary: The study reveals that research universities have shown significant achievements in scientific publications and patenting activities, but overall efficiency performance is still low due to lack of innovation efficiency and value creation efficiency. On the other hand, non-research universities are catching up in efficiency gains and have greater efficiency in value creation.
MANAGERIAL AND DECISION ECONOMICS
(2021)
Article
Business
Jaime Bonnin Roca
Summary: This article discusses the challenges encountered while teaching technological forecasting to undergraduate students. The challenges are grouped into three categories: inherent uncertainty in the forecasting process, lack of appropriate learning materials, and methodological inconsistencies. The article explores how these challenges manifest in the classroom and discusses potential solutions. Additionally, actions that the forecasting community could undertake to improve both teaching and research in this field are also proposed.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhou Mo, Zhang Yujie, Lei Jiasu, Tan Xiaowen
Summary: Early firm engagement in the scientific discovery process in public institutions is an important form of science-based innovation. However, it may negatively affect the academic value of public papers due to firms' impulse to privatize public knowledge. This paper explores the relationship between the quality of public knowledge production, government research funding, and early firm engagement using semantic recognition techniques on patent and paper text data of the Distinguished Young Scholars of the National Science Foundation of China (NSFC) in the chemical and pharmaceutical field. The empirical results show that government research funding can affect the quality of publications and early firm engagement can moderate this relationship.
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)