Abstract
Carbon dioxide (CO2) emission reduction has become an important concern worldwide. During the past century, human activities have been a significant cause of the increase in the level of greenhouse gases. Past research mainly focuses on evaluating the nexus between unidimensional population factors and CO2 emissions, while few prior studies in a developing country have reported the impact of multidimensional demographic factors on CO2 emissions. As an initial attempt, this study investigates the short- and long-run associations between population factors, low-carbon innovation, and carbon dioxide emissions (CO2) for a panel consisting of 285 cities by employing the pooled mean group (PMG) estimator under the framework of the panel autoregressive distributed lag (ARDL) model. Our main findings are as follows: (1) Population size and population density could increase CO2 emissions, while population quality and low-carbon innovation were essential factors that alleviate carbon emission pressure in the long run. (2) Economic development, foreign direct investment, and industrial development were found to be factors causing the increase in carbon emissions. (3) The split-sample analysis demonstrated that the improvement of population quality still has a positive and significant long-run effect on environmental quality. Simultaneously, low-carbon innovation could realize the enormous dividends of carbon emission reduction in the long run, especially in existing relatively larger CO2 emission areas. Finally, the paper presents important policy implications.
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Data availability
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Notes
The search scope is in the low-carbon field applied for in the China Patent Office (SIPO) from 2003 to 2018.
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All authors contributed to the study’s conception and design. Zhangwen Li acquired and analyzed the data, drafted the article or revised it critically for important intellectual content, and contributed to writing the manuscript. Caijiang Zhang revised it critically for academic content and approved the version to be published. Yu Zhou acquired the data and made substantial contributions to the conception or design of the work. All authors read and approved the final manuscript.
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Li, Z., Zhou, Y. & Zhang, C. The impact of population factors and low-carbon innovation on carbon dioxide emissions: a Chinese city perspective. Environ Sci Pollut Res 29, 72853–72870 (2022). https://doi.org/10.1007/s11356-022-20671-7
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DOI: https://doi.org/10.1007/s11356-022-20671-7