2022年中国经济增长速度的预测分析与政策建议

Forecast of China's Economic Growth Rate for 2022 and Policy Suggestions
作者
        陈锡康1,2(中国科学院预测科学研究中心 北京 100190;中国科学院数学与系统科学研究院 北京 100190)
        杨翠红1,2,6*(中国科学院预测科学研究中心 北京 100190;中国科学院数学与系统科学研究院 北京 100190;中国科学院预测科学研究中心 北京 100190)
        祝坤福3(中国人民大学 经济学院 北京 100872)
        王会娟4(中央财经大学 统计与数学学院 北京 100081)
        李鑫茹5(首都经济贸易大学 经济学院 北京 100070)
        姜青言1,2,6(中国科学院预测科学研究中心 北京 100190;中国科学院数学与系统科学研究院 北京 100190;中国科学院大学 经济与管理学院 北京 100190)
中文关键词
         经济预测;经济形势分析;国内生产总值;政策建议
英文关键词
        economic forecast;economic situation analysis;Gross Domestic Product (GDP);policy suggestions
中文摘要
        2021年在复杂严峻的国内外环境下,中国政府采取多项措施,科学统筹疫情防控和经济社会发展,经济恢复持续增长。2022年,中国经济发展面临着很大的不确定性。文章系统分析和预测了中国中长期经济增长速度的发展趋势和变化规律,预计中国中长期经济增速将呈波浪形下降趋势。基于投入产出技术、计量经济学、景气分析法、专家分析法、情景分析等,为预测国内生产总值(GDP)构建了系统综合因素预测法。在对2021年中国全年经济发展进行回顾和分析的基础上,根据当前国内、国际形势对2022年中国经济增长速度作出了预测:预计2022年中国经济增长态势将基本恢复正常,全年增速为5.5%左右。文章基于经济形势分析提出了相关政策建议:科学有序防疫,加大宏观政策跨周期调节,进一步提振消费,科学灵活实现“双碳”目标,加快发展数字经济和产业数字化。
英文摘要
        Faced with the complex domestic and international environment, the Chinese government took various measures to coordinate epidemic control with economic and social development, earning recovered growth of the economy in 2021. In 2022, China's economic development will be facing greater uncertainty. This study systematically analyzes and forecasts the development trend and regularity of China's medium and long-term economic growth rate. It is expected that the medium and long-term economic growth rate of China will show a downward trend in a wave shape. Based on input-output technology, econometrics, prosperity analysis, expert analysis, and scenario analysis, a systematic integrated factor prediction approach on annual GDP growth is proposed. Based on the review and analysis of China's economic development in 2021, as well as the current domestic and international situation, China's economic growth rate is predicted to revert to normal level in 2022, with an annual growth rate of about 5.5%. The policy suggestions are further proposed based on the analysis, including implementing science-based measures in epidemic prevention and control, strengthening the cross-cycle policy adjustment, boosting consumption more vigorously, achieving the goal of "double carbon" scientifically and flexibly, and accelerating the development of digital economy and industrial digitization.
DOI10.16418/j.issn.1000-3045.20211210001
作者简介
陈锡康 中国科学院数学与系统科学研究院研究员。国际投入产出协会会士,中国投入产出学会名誉理事长。研究领域:经济预测、宏观经济与产业经济、数量经济模型。
E-mail:xkchen@iss.ac.cn
CHEN Xikang Professor of Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS). He is a fellow of International Association of Input-Output Analysis and the Honorable President of Chinese Input-Output Association. His research interest includes economic forecasting, macroeconomics, and quantitative economics.
E-mail:xkchen@iss.ac.cn
杨翠红 中国科学院数学与系统科学研究院研究员,中国科学院管理、决策与信息系统重点实验室主任。中国投入产出学会常务副理事长。曾任国际投入产出协会副理事长。主要研究领域:投入产出技术与经济预测、全球价值链与贸易利益研究、宏观经济分析与政策。
E-mail:chyang@iss.ac.cn
YANG Cuihong Professor of Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), Director of the Key Laboratory of Management, Decision and Information Systems of CAS. She is currently the Executive Vice President of the Chinese Input-Output Association and was the vice-president of International Input-Output Association (2013-2018). Her main research areas are input-output technique and economic forecasting, global value chain, macroeconomy analysis and policy research.
E-mail:chyang@iss.ac.cn
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