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Aging and the Issue of High Total Factor Productivity Contribution Rates but Low Growth |
LIU Zhexi, WANG Zhaorui, WU Tao
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School of International Trade and Economics, University of International Business and Economics; School of Economics, Renmin University of China |
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Abstract As population aging advances, China's traditional capital and labor driven growth pattern is becoming increasingly unsustainable. China's growth transition must be accelerated. The Outline of the 14th Five-Year Plan and Vision 2035 explicitly states that China needs to effectively transform its growth pattern and promote changes in the quality, efficiency and drivers of growth. The main objectives of the growth transition are to improve the contribution of total factor productivity (TFP) to economic growth and to stimulate new drivers of economic growth. Countries that demonstrate higher levels of aging also tend to contribute more TFP to economic growth. However, a critical phenomenon that cannot be ignored is that a high TFP contribution does not lift aging economies out of stagnation, as demonstrated by Japan and some European economies. This background leads to the focus of this paper, namely whether increasing the TFP contribution rate can effectively counteract the impact of aging on economic growth. This issue is both controversial and innovative, but it also has important practical significance for China and can yield guidance on how to better realize Chinese-style modernization with such a large population. Hence, based on the Penn World Table (version 10.0), this paper adopts the production function method to measure the TFP levels and their contribution to growth in 90 economies from 1961 to 2019. A regression model is constructed to analyze the effect of increasing TFP contribution on economic growth in an aging population, using cross-country panel data. This paper draws three main conclusions. First, the aging rate is positively correlated with the TFP contribution rate. However, the increased TFP contribution stems mainly from a “passive rise” due to the rapid decline in traditional growth drivers, rather than an enhanced role of TFP in driving the economy. Second, as the aging rate increases, the promoting effect of the increased TFP contribution on economic growth weakens significantly. This finding holds after excluding the effect of the passive rise in the TFP contribution rate. Overreliance on increasing TFP to counteract aging makes economies prone to a situation characterized by high TFP contribution and low growth. Third, the subgroup regression shows that neither the TFP-driven pattern nor the traditional capital and labor driven growth pattern has any significant advantage in coping with population aging. Furthermore, the effect of aging on economic growth is negative and significant. The growth pattern that emphasizes both TFP and traditional growth drivers is more effective in mitigating the negative impacts of aging on economic growth, making such impacts insignificant. This paper makes three contributions. First, it proposes and systematically demonstrates the passive rise of the TFP contribution rate in an aging context. This finding enhances the understanding of the problem posed by a high TFP contribution rate in an aging economy for all sectors of society. Second, this paper systematically analyzes the effect of increasing the TFP contribution rate to counteract aging. Studies usually focus on the role of TFP alone in aging contexts, neglecting the fact that factors such as TFP, capital, and labor are the main components of a growth system and are closely interconnected. From the perspective of the entire growth system, this paper finds that a growth pattern that emphasizes both traditional and new drivers is more helpful in offsetting the effects of aging than a TFP-driven growth pattern, which is a novel finding. Third, this paper presents a systematic measurement of the level of TFP and its contribution rate in major economies around the world, and it develops a relatively rich cross-country empirical study, which provides new empirical evidence for analyzing the growth transition in the process of aging. The findings of this paper have valuable policy implications. China's TFP contribution to economic growth is currently low. Thus, in the face of aging, it is necessary to improve the TFP contribution to economic growth, and to transform the previous growth pattern driven by capital and labor. Furthermore, while increasing the TFP contribution rate, the weakening of traditional growth drivers should not be ignored. A TFP-driven growth pattern would be much less growth-enhancing, as it would be difficult for TFP to offset the decline in traditional factors' growth in an aging context. Therefore, China should break through the traditional understanding of existing theories, organically combine the strategy of innovation-driven development with the strategy of expanding domestic demand, and construct a new growth pattern that considers the interplay between both new and traditional growth drivers, so as to better respond to the challenges of aging and meet the growth rate required for the realization of socialist modernization.
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Received: 03 January 2023
Published: 02 January 2024
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|
[1] |
蔡昉,2010,《人口转变、人口红利与刘易斯转折点》,《经济研究》第4期,第4~13页。
|
[2] |
蔡昉,2017,《中国经济改革效应分析——劳动力重新配置的视角》,《经济研究》第7期,第4~17页。
|
[3] |
蔡昉,2020,《如何开启第二次人口红利?》,《国际经济评论》第2期,第9~24页。
|
[4] |
陈浩、徐瑞慧、唐滔和高宏,2021,《关于我国人口转型的认识和应对之策》,中国人民银行工作论文,No.2021/2。
|
[5] |
陈彦斌、郭豫媚和姚一旻,2014,《人口老龄化对中国高储蓄的影响》,《金融研究》第1期,第71~84页。
|
[6] |
陈彦斌、林晨和陈小亮,2019,《人工智能、老龄化与经济增长》,《经济研究》第7期,第47~63页。
|
[7] |
陈彦斌和陈伟泽,2021,《潜在增速缺口与宏观政策目标重构——兼以中国实践评西方主流宏观理论的缺陷》,《经济研究》第3期,第14~31页。
|
[8] |
都阳和封永刚,2021,《人口快速老龄化对经济增长的冲击》,《经济研究》第2期,第71~88页。
|
[9] |
耿志祥和孙祁祥,2017,《人口老龄化、延迟退休与二次人口红利》,《金融研究》第1期,第52~68页。
|
[10] |
黄志钢和刘霞辉,2015,《“新常态”下中国经济增长的路径选择》,《经济学动态》第9期,第51~62页。
|
[11] |
寇宗来和千茜倩,2021,《私有信息、评级偏差和中国评级机构的市场声誉》,《金融研究》第6期,第114~132页。
|
[12] |
梁颖和陈佳鹏,2013,《日本失去的二十年——基于中日人口红利比较的视角》,《人口学刊》第4期,第21~31页。
|
[13] |
刘穷志和何奇,2013,《人口老龄化、经济增长与财政政策》,《经济学(季刊)》第1期,第119~134页。
|
[14] |
刘伟和陈彦斌,2020,《2020—2035年中国经济增长与基本实现社会主义现代化》,《中国人民大学学报》第4期,第54~68页。
|
[15] |
刘哲希和陈彦斌,2020,《“十四五”时期中国经济潜在增速测算——兼论跨越“中等收入陷阱”》,《改革》第10期,第33~49页。
|
[16] |
宋傅天和姚东旻,《“城投部门”议价能力与地方政府债务扩张》,《管理世界》第12期,第92~110页。
|
[17] |
王金营和杨磊,2010,《中国人口转变、人口红利与经济增长的实证》,《人口学刊》第5期,第15~24页。
|
[18] |
王维国、刘丰和胡春龙,2019,《生育政策、人口年龄结构优化与经济增长》,《经济研究》第1期,第116~131页。
|
[19] |
王一鸣,2017,《中国经济新一轮动力转换与路径选择》,《管理世界》第2期,第1~14页。
|
[20] |
姚东旻、李三希和林思思,2015,《老龄化会影响科技创新吗——基于年龄结构与创新能力的文献分析》,《管理评论》第8期,第56~67页。
|
[21] |
姚东旻、宁静和韦诗言,2017,《老龄化如何影响科技创新》,《世界经济》第4期,第105~128页。
|
[22] |
袁志刚和宋铮,2000,《人口年龄结构、养老保险制度与最优储蓄率》,《经济研究》第11期,第24~32页。
|
[23] |
张军扩、余斌和吴振宇,2014,《增长阶段转换的成因、挑战和对策》,《管理世界》第12期,第12~20页。
|
[24] |
中国经济增长前沿课题组,2015,《突破经济增长减速的新要素供给理论、体制与政策选择》,《经济研究》第11期,第4~19页。
|
[25] |
Acemoglu D. and P.Restrepo, 2017, “Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation”, American Economic Review, 107(5), pp.174~179.
|
[26] |
Conley T. G.,C. B. Hansen and P. E.Rossi, 2012, “Plausibly Exogenous”, Review of Economics and Statistics, 94(1), pp.260~272.
|
[27] |
Cutler D. M.,J. M.Poterba, L. M.Sheiner, L. H.Summers and G. A.Akerlof, 1990, “An Aging Society: Opportunity or Challenge?”, Brookings Papers on Economic Activity, 1990(1), pp.1~73.
|
[28] |
Czaja S. J. and C. C.Lee, 2007, “The Impact of Aging on Access to Technology”, Universal Access in the Information Society, 5(4), pp.341~349.
|
[29] |
Daniele F.,T.Honiden and A. C.Lembcke, 2019, “Ageing and Productivity Growth in OECD Regions: Combatting the Economic Impact of Ageing through Productivity Growth”, OECD Regional Development Working Papers.
|
[30] |
Eggertsson G. B., N. R.Mehrotra and J. A.Robbins, 2019, “Aging, Output Per Capita, and Secular Stagnation”, American Economic Review: Insights, 1(3), pp.325~342.
|
[31] |
Feyrer J., 2007, “Demographics and Productivity”, Review of Economics and Statistics, 89(1), pp.100~109.
|
[32] |
Gonzalez-Eiras M. and D.Niepelt, 2012, “Ageing, Government Budgets, Retirement, and Growth”, European Economic Review, 56(1), pp.97~115.
|
[33] |
Heer B. and A. Irmen, 2014, “Population, Pensions, and Endogenous Economic Growth”, Journal of Economic Dynamics and Control, 46, pp.50~72.
|
[34] |
Lindh T.and B.Malmberg, 1999. “Age Structure Effects and Growth in the OECD, 1950-1990”, Journal of population Economics, 12(3), pp.431~449.
|
[35] |
Lopez-Garcia P. and B.Szörfi, 2021, “Key Factors behind Productivity Trends in Euro Area Countries”, European Central Bank Economic Bulletin, No.7.
|
[36] |
Maestas N., K. J.Mullen and D.Powell, 2016, “The Effect of Population Aging on Economic Growth, the Labor Force and Productivity”, NBER Working Paper, No. 22452.
|
[37] |
Manyika J.,J.Woetzel and R. Dobbs, 2015, Global Growth: Can Productivity Save the Day in an Aging World?, McKinsey Global Institute.
|
[38] |
Noda H., 2011, “Population Aging and Creative Destruction”, Journal of Economic Research, 16(1), pp.29~58.
|
[39] |
Strulik H., K.Prettner and A.Prskawetz, 2013, “The Past and Future of Knowledge-Based Growth”, Journal of Economic Growth, 18(4), pp.411~437.
|
[40] |
Westelius M. N. J. and Y.Liu, 2016, “The Impact of Demographics on Productivity and Inflation in Japan”, IMF Working Paper, No.237.
|
|
|
|