基于SEEA的绿色GDP核算相关性及预测分析
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X196;F062.2

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福建省中青年教师教育科研项目“基于稳定性分析的修改引力理论宇宙动力学演化研究”(JAT210609); 厦门大学嘉庚学院校级科研孵化项目(PY2023L01)


Correlation and Predictive Analysis of Green GDP Accounting Based on System of Integrated Environmental and Economic Accounting
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    摘要:

    [目的] 探索环境变量与经济的相互影响关系,研究绿色GDP(GGDP)和GDP的趋势关系并预测未来趋势变化,分析GGDP替代GDP作为政策指标的可行性,为推进区域可持续发展提供科学指导。 [方法] 基于联合国综合环境与经济核算体系(system of integrated environmental and economic accounting,SEEA),采用相关性分析方法,根据经济结构、发展水平和政策制度的不同选取了6个具有代表性国家的环境因素,与GDP进行了相关性分析,并使用一元线性回归方程对各国的GDP与GGDP进行拟合分析;利用ARIMA,Holt-Winters和灰度GM(1,1)模型对GGDP和GDP数据进行预测分析。通过模型误差对比分析最优预测结果。 [结果] 在经济发展的前期,GDP与GGDP、环境呈现负相关。随着可持续发展的经济结构完善,负相关逐步趋于缓和,最终实现回暖,呈现U形趋势。预测分析结果得出ARIMA模型最适合预测GDP,Holt-Winters模型最适合预测GGDP,且两者均呈现增长趋势,但GGDP增速不及GDP增速。 [结论] 结合中国实际情况,建议中国经济核算指标从GDP转向GGDP,且应加大环境经济投入,有助于实现经济、社会和环境的可持续发展,建设资源节约型和环境友好型的可持续发展社会。

    Abstract:

    [Objective] The interaction between environmental variables and economy was determined. The relationship between green GDP (GGDP) and GDP and future trend were studied, and the feasibility of replacing GDP with GGDP as a policy indicator was analyzed in order to promote the implementation of sustainable development. [Methods] Based on system of integrated environmental and economic accounting (SEEA), the correlations between environmental factors and GDP were determined for six representative countries differing in economic structure, development level, and policy system. A univariate linear regression equation was used to fit and analyze the GDP and GGDP of each country. The ARIMA, Holt-Winters, and grayscale GM (1,1) models were used to predict and analyze the GGDP and GDP data, and the optimal prediction results were analyzed by comparing the model errors. [Results] In the early stage of economic development, GDP showed a negative correlation with GGDP and environment. With the improvement of sustainable economic structure, the negative correlation gradually eased, and finally achieved recovery, showing a U-shaped trend. The results of the predictive analysis showed that the ARIMA model was best for predicting GDP, and the Holt-Winters model was best for predicting GGDP. Both GDP and GGDP showed a growth trend, but the growth rate of GGDP was not as fast as GDP. [Conclusion] It is suggested that, combined with China’s actual situation, China’s economic accounting indicator should shift from GDP to GGDP, and should increase environmental and economic investment, thereby achieving sustainable economic, social, and environmental development, and building a resource-saving and environment-friendly sustainable development society.

    参考文献
    [1] 汪彬,刘晓阳,古晨光,等.创新要素对绿色经济的影响及空间效应研究[J].华东经济管理,2022,36(8):1-12. Wang Bin, Liu Xiaoyang, Gu Chenguang, et al. Research on the impact and spatial effect of innovative elements on green economy[J]. East China Economic Management, 2022,36(8):1-12.
    [2] Callent. Gross Domestic Product:An Economy's All[M]. Washington D C, USA:International Monetary Fund, 2012.
    [3] 联合国.国民经济核算体系[M].国家统计局国民经济核算司译.北京:中国统计出版社,1995. The United Nations. System of National Economic Accounts[M]. Translated by the National Economic Accounting Department of the National Bureau of Statistics. Beijing:China Statistics Press, 1995.
    [4] 邢琦,朱道林,王健.基于SEEA的自然资源资产核算指标的国际比较[J].中国环境管理,2022,14(1):68-77. Xing Qi, Zhu Daolin, Wang Jian. International comparison of natural resource assets accounting indicators based on SEEA[J]. Chinese Journal of Environmental Management, 2022,14(1):68-77.
    [5] 王红兵,刘怡君,宋大伟.运用智库双螺旋法构建绿色GDP评价体系[J].中国科学院院刊,2022,37(6):783-793. Wang Hongbing, Liu Yijun, Song Dawei. Constructing green GDP evaluation system by using think tank double helix methodology[J]. Bulletin of Chinese Academy of Sciences, 2022,37(6):783-793.
    [6] 刘哲,裴云霞,包美玲,等.生态产品价值实现机制问题研究与案例剖析[J].环境科学与技术,2022,45(增刊1):337-344. Liu Zhe, Pei Yunxia, Bao Meiling, et al. Research and case analysis on the mechanism of realizing the value of ecological products[J]. Environmental Science&Technology,2022, 45(S1):337-344.
    [7] 王金南,於方,曹东.中国绿色国民经济核算研究报告2004[J].中国人口·资源与环境,2006(6):11-17. Wang Jinnan, Yu Fang, Cao Dong. Study report 2004 for green national economic accounting[J]. China Population Resources and Environment, 2006,16(6):11-17.
    [8] 王金南,马国霞,於方,等.2015年中国经济-生态生产总值核算研究[J].中国人口·资源与环境,2018,28(2):1-7. Wang Jinnan, Ma Guoxia, Yu Fang, et al. Study on China's gross economic-ecological product accounting in 2015[J]. China Population, Resources and Environment, 2018,28(2):1-7.
    [9] 中国各级政府政绩考核将不能再唯"GDP"论英雄[OL].(20231116)[20231214].http://www.gov.cn/zhengce/2013-11/16/content_2603691.tm?from=groupmessage&isappinstalled=0. The performance assessment of Chinese governments at all levels will no longer be based on GDP:http://www.gov.cn/zhengce/2013-11/16/content_2603691.htm?from=groupmessage&isappinstalled=0.
    [10] Hoff J V, Rasmussen M M B, Sφrensen P B. Barriers and opportunities in developing and implementing a Green GDP[J]. Ecological Economics, 2021,181:106905.
    [11] 郭丽华,陈立铭.绿色经济发展路径研究:基于"区块链-绿色资源币"视角[J].税务与经济,2022(4):83-89. Guo Lihua, Chen Liming. Research on the development path of green economy based on the perspective of "block chain-green resource currency" [J]. Taxation and Economy, 2022(4):83-89.
    [12] 李婉红,李娜.绿色技术创新、智能化转型与制造企业环境绩效:基于门槛效应的实证研究[J].管理评论,2023,35(11):90-101. Li Wanhong, Li Na. Green technology innovation, intelligent transformation and manufacturing companies'environmental performance:Empirical research based on threshold effect[J]. Management Review,2023,35(11):90-101.
    [13] 余焕,雷敏,马金晶,等.基于绿色GDP和生态效率的区域可持续发展研究:以陕西省为例[J].干旱区地理,2023,46(2):284-293. Yu Huan, Lei Min, Ma Jinjing, et al. Regional sustainable development based on green GDP and ecological efficiency:A case of Shaanxi Province[J]. Arid Land Geography, 2023,46(2):284-293.
    [14] 何玉梅,吴莎莎.基于资源价值损失法的绿色GDP核算体系构建[J].统计与决策,2017,33(17):5-10. He Yumei, Wu Shasha. Construction of green GDP accounting system based on resource value loss method[J]. Statistics and Decision Making, 2017,33(17):5-10.
    [15] 高锡荣,赵欣越,柴程昕.基于资源环境价值补偿的绿色GDP核算:以重庆市为例[J].生态经济,2023,39(5):148-153. Gao Xirong, Zhao Xinyue, Chai Chengxin. Construction of a green GDP accounting system based on resource and environmental value compensation:Taking Chongqing as an example[J]. Ecological Economy, 2023,39(5):148-153.
    [16] 世界银行.(20020609)[20231011].https://www.worldbank.org/en/home. The World Bank:https://www.worldbank.org/en/home.
    [17] EPS官网.(20200203)[20231111].https://www.epsnet.com.cn/index.html#/Index.EPS official website:https://www.epsnet.com.cn/index. html#/Index.
    [18] 杜永强,王悦,李晶洁等.基于主成分分析的经济绿色发展评价研究[J].科技和产业,2018,18(10):50-59. Du Yongqiang, Wang Yue, Li Jingjie, et al. Research on economic green development evaluation based on principal component analysis[J]. Science Technology and Industry, 2018,18(10):50-59.
    [19] 贾科,杨哲,魏超,等.基于斯皮尔曼等级相关系数的新能源送出线路纵联保护[J].电力系统自动化,2020,44(15):103-111. Jia Ke, Yang Zhe, Wei Chao, et al. Pilot protection based on spearman rank correlation coefficient for transmission line connected to renewable energy source[J]. Automation of Electric Power Systems, 2020,44(15):103-111.
    [20] 李久龙,李玲,刘瑞敏,等.一元线性回归分析方法在压力传感器数据拟合中的应用[J].计测技术,2022,42(2):40-49. Li Jiulong, Li Ling, Liu Ruimin, et al. Application of univariate linear regression analysis in data fitting of pressure sensor[J]. Metrology&Measurement Technology, 2022,42(2):40-49.
    [21] 荀梦君,李进岚,黄爱菊,等. ARIMA模型和Holt-Winters指数平滑法在贵州省肺结核发病预测中的应用[J].中国预防医学杂志,2023,24(7):678-682. Xun Mengjun, Li Jinlan, Huang Aiju, et al. Application of ARIMA and Holt-Winters exponential smoothing in the prediction of tuberculosis in Guizhou Province[J]. Chinese Preventive Medicine, 2023,24(7):678-682.
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董涵,邹明华,李露,李艳.基于SEEA的绿色GDP核算相关性及预测分析[J].水土保持通报,2024,44(2):187-195,204

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  • 收稿日期:2023-06-07
  • 最后修改日期:2023-09-14
  • 在线发布日期: 2024-06-05