Evidence map›Paper›PMID 38372928›Full record

ArticleEnvironmental science and pollution research international2024

Evaluating the impact of the innovation efficiency of high-tech industry on carbon emissions: a case study of the manufacturing industry in China.

Jian Wang, Zhihui Song, Faiza Siddiqui, Na Gui, Qifen Zha

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Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jian WangSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
Zhihui SongSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
Faiza SiddiquiSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, Jiangsu, China. faizasiddiqui790@gmail.com.
Na GuiSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
Qifen ZhaSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.

Funding

College Student Scientific Research Project of Jiangsu University Y21C023National Statistical Research Program 2021LY066
6 · The paper itself

Abstract

Amid China's economic shift to high-quality development, addressing environmental challenges like greenhouse gas emissions and manufacturing pollution, there is a crucial demand for sustainable and eco-friendly development strategies. This study aims to investigate the impact of innovation efficiency in the high-tech industry on carbon emissions. It seeks to explore regional differences, mechanisms, and the influence of energy consumption structures in achieving sustainable development goals. Utilizing data from 30 provinces spanning 2009 to 2020, the study employs the DEA-Malmquist index model, spatial and temporal classification evaluation, and a panel measurement model to assess the efficiency of innovation and development in high-tech industries and their relationship with carbon emissions. The results indicate several key findings: (1) The overall operational efficiency of high-tech industry innovation and development in China is steadily increasing. However, there are distinct characteristics observed among provinces and cities, reflecting diverse input and output types. (2) High-tech industry innovation efficiency significantly contributes to carbon emission reduction, and there is regional heterogeneity in this impact. The central and western regions exhibit greater effects compared to other provinces and cities. (3) The optimization of the energy structure is identified as a mechanism through which high-tech industry innovation efficiency reduces carbon emissions. Moreover, different intervals of high-tech industry innovation efficiency yield varying effects on carbon emissions. This research underscores the importance of fostering high-tech industry innovation efficiency as a means to reduce carbon emissions. It also identifies key areas for future policy development and resource allocation, emphasizing the support needed for low-carbon technology research and development.

Indexed as

CarbonEconomic DevelopmentCarbon DioxideChinaIndustryManufacturing IndustryCarbonCarbon DioxideCarbon emissionChinaEfficiency evaluationHigh-tech industry innovationPanel model

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.