Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City

被引:9
|
作者
Zhang, Zhicong [1 ]
Xie, Hao [1 ,2 ]
Zhang, Jubing [1 ]
Wang, Xinye [1 ,2 ]
Wei, Jiayu [1 ]
Quan, Xibin [1 ]
机构
[1] Nanjing Normal Univ, Sch Energy & Mech Engn, Nanjing 210023, Peoples R China
[2] Nanjing Normal Univ, Zhenjiang Inst Innovat & Dev, Zhenjiang 212016, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
STIRPAT model; industrial carbon emission; GRPM (1; 1) model; influencing factors; scenario analysis; CO2; EMISSIONS; MODEL; IMPACT; DECOMPOSITION; PROVINCES; VALUATION; STIRPAT;
D O I
10.3390/ijerph19127165
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model, the impact factors of industrial carbon emission in Nanjing were considered as total population, industrial output value, labor productivity, industrialization rate, energy intensity, research and development (R&D) intensity, and energy structure. Among them, the total population, industrial output value, labor productivity, and industrial energy structure played a role in promoting the increase of industrial carbon emissions in Nanjing, and the degree of influence weakened in turn. For every 1% change in these four factors, carbon emissions increased by 0.52%, 0.49%, 0.17% and 0.12%, respectively. The industrialization rate, R&D intensity, and energy intensity inhibited the increase of industrial carbon emissions, and the inhibiting effect weakened in turn. Every 1% change in these three factors inhibited the increase of industrial carbon emissions in Nanjing by 0.03%, 0.07%, and 0.02%, respectively. Then, taking the relevant data of industrial carbon emissions in Nanjing from 2006 to 2020 as a sample, the gray rolling prediction model with one variable and one first-order equation (GRPM (1,1)) forecast and scenario analysis is used to predict the industrial carbon emission in Nanjing under the influence of the pandemic from 2021 to 2030, and the three development scenarios were established as three levels of high-carbon, benchmark and low-carbon, It was concluded that Nanjing's industrial carbon emissions in 2030 would be 229.95 million tons under the high-carbon development scenario, 226.92 million tons under the benchmark development scenario, and 220.91 million tons under the low-carbon development scenario. It can not only provide data reference for controlling industrial carbon emissions in the future but also provide policy suggestions and development routes for urban planning decision-makers. Finally, it is hoped that this provides a reference for other cities with similar development as Nanjing.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Carbon emission of regional land use and its decomposition analysis: Case study of Nanjing City, China
    Rongqin Zhao
    Xianjin Huang
    Ying Liu
    Taiyang Zhong
    Minglei Ding
    Xiaowei Chuai
    [J]. Chinese Geographical Science, 2015, 25 : 198 - 212
  • [2] Carbon emission of regional land use and its decomposition analysis: Case study of Nanjing City, China
    Zhao Rongqin
    Huang Xianjin
    Liu Ying
    Zhong Taiyang
    Ding Minglei
    Chuai Xiaowei
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2015, 25 (02) : 198 - 212
  • [3] Carbon Emission of Regional Land Use and Its Decomposition Analysis: Case Study of Nanjing City, China
    ZHAO Rongqin
    HUANG Xianjin
    LIU Ying
    ZHONG Taiyang
    DING Minglei
    CHUAI Xiaowei
    [J]. Chinese Geographical Science, 2015, 25 (02) : 198 - 212
  • [4] Strategies for improving the industrial carbon emission efficiency in China: an approach based on trend prediction and regional learning mechanism
    Jiang, Hongtao
    Yin, Jian
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (57) : 120188 - 120206
  • [5] Strategies for improving the industrial carbon emission efficiency in China: an approach based on trend prediction and regional learning mechanism
    Hongtao Jiang
    Jian Yin
    [J]. Environmental Science and Pollution Research, 2023, 30 : 120188 - 120206
  • [6] Strategies for improving the industrial carbon emission efficiency in China: an approach based on trend prediction and regional learning mechanism
    Jiang, Hongtao
    Yin, Jian
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023,
  • [7] Regional disparities and evolution trend of city-level carbon emission intensity in China
    Ke, Nan
    Lu, Xinhai
    Kuang, Bing
    Zhang, Xupeng
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2023, 88
  • [8] Analysis on the Spatial Trend of Regional Economic Development in China on Carbon Emission Reduction
    Feng, Zong-xian
    Chen, Zhi-wei
    Tian, Fang-yuan
    [J]. INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND MATERIALS ENGINEERING (EEME 2014), 2014, : 294 - 298
  • [9] Regional industrial development trend under the carbon goals in China
    Xie, Yuhan
    Chen, Yan
    Wu, Lifeng
    [J]. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (03) : 8029 - 8046
  • [10] Study on China's regional carbon emission factors: The case of Chongqing city
    Tan, Xianchun
    Chen, Dexue
    Gu, Baihe
    Che, Bang
    [J]. INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 2014, 61 : 2885 - 2889