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China\u2019s industrial sector, heavily reliant on fossil fuels, has significant implications for environmental quality, establishing the country as the leading global carbon emitter. Rising energy losses compound economic challenges by driving up energy demand, increasing external dependencies, and straining foreign exchange reserves. In this context, we analyze how China\u2019s industrial environment responds to technology adoption, energy losses, and fossil fuel usage. Using Fourier extensions enriched with time-series analyses, we assess the direction and magnitude of these responses, alongside testing the Environmental Kuznets Curve (EKC) hypothesis using Fully Modified Ordinary Least Squares, Canonical Cointegrating Regressions, and Dynamic Ordinary Least Squares methods. Our findings affirm the EKC hypothesis for China\u2019s industrial sector, revealing that while fossil fuel usage and energy losses drive up CO<jats:sub>2<\/jats:sub> emissions, advancements in industrial technology can offset some of these environmental impacts by reducing carbon emissions. Based on these findings, policymakers should focus on technological innovations that help decrease energy losses and fossil fuel consumption within the industrial sector.<\/jats:p>","DOI":"10.1186\/s40008-024-00344-z","type":"journal-article","created":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T06:35:53Z","timestamp":1736231753000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Analyzing environmental delivery of industrial technology and energy use-loss in China"],"prefix":"10.1186","volume":"14","author":[{"given":"Mustafa","family":"Naimo\u011flu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5355-3707","authenticated-orcid":false,"given":"Andrew Adewale","family":"Alola","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,7]]},"reference":[{"issue":"1","key":"344_CR1","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1080\/21606544.2022.2085183","volume":"12","author":"MO Agboola","year":"2023","unstructured":"Agboola MO, Alola AA (2023) The energy mix-environmental aspects of income and economic freedom in Hong Kong: Cointegration and frequency domain causality evidence. 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