Transport carbon emissions reduction efficiency and economic growth: a perspective from nighttime lights remote sensing

Q2 Engineering Archives of Transport Pub Date : 2023-06-30 DOI:10.5604/01.3001.0016.3125
Yuxiang Yan, Jianing Li
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Abstract

The carbon emissions are essential for climate change and 26% of the world's carbon emissions are related to transport. But focusing only on fewer carbon emissions might be biased at times. In order to keep a balance be-tween economic growth and carbon emissions reduction, this paper evaluated the performance of carbon control by considering the input factors and output factors together, which is more comprehensive and reliable. Firstly, this paper has calculated the transport carbon emissions reduction efficiency (TCERE) based on the model of super SBM with undesirable outputs. The input factors include capital stock, labor force and fossil energy con-sumption. And the output factors include gross domestic product and carbon dioxide emissions. Then the influenc-ing factors of TCERE were analyzed using econometric models. The economic growth, transport structure, tech-nology level and population density were posited as influencing factors. This paper creatively proposed the per capita nighttime lights brightness as a new indicator for economic growth. An empirical study was conducted in East China from 2013 to 2017, and this study has found that the relationship between TCERE and economic growth shows an U-shape. Besides, transport structure and technology level both show a positive impact on TCERE. The implications of our findings are that: (a) The TCERE declines slower in East China, giving us reason to believe that the improvement of TCERE is predictable; (b) When economic growth exceeds the turning point, economic growth is conducive to the improvement of TCERE. We could develop the economy boldly and confident-ly; (c) Increased investment in railway and waterway transportation infrastructure projects is needed to strengthen the structure of the railway and waterway transportation systems. Furthermore, the general public and businesses should be encouraged to prefer rail or river transportation; (d) Investment in scientific and technological innova-tion should be enhanced in order to produce more efficient energy-use methods.
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交通碳减排效率与经济增长:来自夜间灯光遥感的视角
碳排放对气候变化至关重要,全球26%的碳排放与运输有关。但只关注减少碳排放有时可能会有偏见。为了在经济增长和碳减排之间保持平衡,本文将投入因素和产出因素结合起来评估碳控制的绩效,更全面、更可靠。首先,本文基于具有不良产出的超级SBM模型,计算了交通运输碳减排效率。投入因素包括资本存量、劳动力和化石能源消耗。产出因素包括国内生产总值和二氧化碳排放量。然后运用计量经济模型对TCERE的影响因素进行了分析。经济增长、交通运输结构、技术水平和人口密度是影响因素。本文创造性地提出了人均夜间照明亮度作为衡量经济增长的新指标。2013年至2017年在华东地区进行的实证研究发现,TCERE与经济增长的关系呈U型。此外,运输结构和技术水平都对TCERE产生了积极影响。我们的研究结果表明:(a)华东地区的TCERE下降较慢,这使我们有理由相信TCERE的改善是可预测的;(b) 当经济增长超过拐点时,经济增长有利于TCERE的提高。我们可以大胆自信地发展经济;(c) 需要增加对铁路和水路运输基础设施项目的投资,以加强铁路和水路交通系统的结构。此外,应鼓励公众和企业选择铁路或河流运输;(d) 应加强对科技创新的投资,以产生更有效的能源使用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Transport
Archives of Transport Engineering-Automotive Engineering
CiteScore
2.50
自引率
0.00%
发文量
26
审稿时长
24 weeks
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