Demographic change and economic growth: empirical evidence from the Middle East

Bawazir, Abdullah Abdulaziz; Aslam, Mohamed; Osman, Ahmad Farid

doi:10.1007/s10644-019-09254-8

Cited by 33 publications

(25 citation statements)

References 40 publications

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“…OECD (2020) states that the labor productivity is determined by 2 components: own individual contribution such as effort and skill, and collective contribution from the interactions with other workers. The current literature explains that a reduction in labor productivity in an aging/aged society comes from a larger share of old workers with low productivity and a smaller share of young workers with high productivity (An and Jeon, 2006;Maestas et al, 2016;Bawazir et al, 2020), evidence of the first component of labor productivity. However, none of the literature considers the second component, the interactions with other workers (OECD, 2020).…”

Section: Introductionmentioning

confidence: 99%

Generation gap and its impact on economic growth

Harnphattananusorn

Puttitanun

2021

Heliyon

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Workers of different generations often complain about one another as their opinions, values, attitudes, and approaches to work differ. This might lead to a reduction in labor productivity that can negatively impact the economic growth of any nation. In this paper, we used generation mix indices to analyze whether generation gap has any impact on economic growth. Using Thailand's data between 1961 to 2019, we found that when generations were intensely mixed, economic growth did suffer.

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Section: Introductionmentioning

confidence: 99%

Generation gap and its impact on economic growth

Harnphattananusorn

Puttitanun

2021

Heliyon

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“…From the analyses of the basic connotation of the population and economic structure systems and the availability of data [ 39 , 40 ], the system of eight population indicators is constructed around population structure, size, quality, and life quality [ 41 ], from the aspects of economic level, scale, speed, and structure. Table 1 presents the evaluation index system of coupled and coordinated population–economy development.…”

Section: Study Area and Methodsmentioning

confidence: 99%

Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt

Wang

Zou

Duan

et al. 2022

IJERPH

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The degree of population–economy coupling and coordination is an important indicator of a region’s balanced development. This study examines the evolution of the population–economy coupling coordination pattern in the Yangtze River Economic Belt spanning from 2000 to 2019. It draws from the economic growth stage and related theories, and employs methods such as geographic concentration, center of gravity analysis, and the coupling coordination model. Accordingly, the population and economy of the Yangtze River Economic Belt form a core–periphery, with a decreasing center toward the periphery, and the east higher than the west. The spatial coupling situation of the population-economic center of gravity yields an inverted U-shaped curve, where their center of gravity separates and then converges, and the difference in regional development expands and then shrinks. Moreover, the population center of gravity lags behind that of the economy. The population–economy coupling and coordination degree shows a decreasing trend after rising fluctuations. Further, the study finds that regional economic development, government role, and market-led capital agglomeration are significant drivers of the population–economy coupling and coordination, with the industrial structural influence being spatially heterogeneous.

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“…Furthermore, we must discuss the impact of savings and population growth rates on both human capital and economic growth in the analysis, as is the case in several recent papers [ [25] , [26] , [27] ]. In early literature, such as Hall and Jones [ 14 ], the share of physical capital in output was estimated to be 1/3.…”

Section: Literature Reviewmentioning

confidence: 99%