Population dynamics and economic growth in China

Golley, Jane; Wei, Zheng

doi:10.1016/j.chieco.2015.05.005

Cited by 32 publications

(17 citation statements)

References 39 publications

(59 reference statements)

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“…According to B. Chen and Feng (), Chinese provinces with a greater presence of private and semiprivate enterprises, a better endowment of higher education, and greater access to international trade became leaders in terms of economic growth. The growth of working‐age population has been considered to undermine levels of per capita gross domestic product (GDP) growth (Golley & Wei, ).…”

Section: Understanding Urban Growth In Chinamentioning

confidence: 99%

Government institutions and the dynamics of urban growth in China

Rodríguez‐Pose

Zhang

2019

Journal of Regional Science

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Economic growth in China in recent decades has largely rested on the dynamism of its cities. High economic growth has coincided with measures aimed at improving the efficiency of local governments and with a mounting political drive to curb corruption. Yet the connection between government institutions and urban growth in China remains poorly understood. This paper is the first to look into the link between government efficiency and corruption, on the one hand, and urban growth in China, on the other hand and to assess what is the role of institutions relative to more traditional factors for economic growth in Chinese cities. Using panel data for 283 cities over the period between 2003 and 2014, the results show that the urban growth in China is a consequence of a combination of favorable human capital, innovation, density, local conditions, foreign direct investment, and city-level government institutions. Both government quality-especially for those cities with the best governments-and the fight against corruption at the city level have a direct effect on urban growth. Measures to tackle corruption at the provincial level matter in a more indirect way, by raising or lowering the returns of other growth-inducing factors. those of Tables 2,3. These can be made available upon request.RODRÍGUEZ-POSE AND ZHANG | 655 6 Endogeneity can be associated with a number of factors, including missing variables, reverse causality, and measurement errors. The use of system GMM is unlikely to fully address all these biases. In particular, the main source of endogeneity -reverse causality-cannot be really treated empirically without rigorous theoretical arguments. 7 The distance is the Euclidean distance between city i and city j. ORCID Andrés Rodríguez-Pose

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Section: Understanding Urban Growth In Chinamentioning

confidence: 99%

Government institutions and the dynamics of urban growth in China

Rodríguez‐Pose

Zhang

2019

Journal of Regional Science

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“…Other factors (denoted by X e ) affecting economic growth used in this paper include: (1) national savings rate(denoted by SAV), measured with the difference between GDP and final consumption as a proportion of GDP [41]; (2) human capital (denoted by HM) [42], measured with the average years of schooling for individuals aged 6 and over. This indicator is calculated according to: (a) the schooling years of 0, 6, 9, 12 and 16 converted from illiterate, primary school diploma, junior high school diploma, high school diploma and college diploma and above respectively and (b) the ratio of persons aged 6 and over with corresponding educational attainment to the total population aged 6 and over; (3) fixed capital investment (denoted by FCF), measured with fixed capital formation rate [43]. This indicator is calculated as the ratio of the gross fixed capital formation to GDP; (4) government final consumption expenditure (denoted by GF), measured with the ratio of the total government final consumption expenditure to GDP [44]; (5) foreign trade (denoted by TRA), measured with the ratio of the total import and export of goods to GDP [6]; and (6) total population (denoted by POP) [43], measured with the total population at the end of the year.…”

Section: Datamentioning

confidence: 99%

Population Ageing, Financial Deepening and Economic Growth: Evidence from China

Zhao

Yang

2018

Sustainability

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Using a panel of 31 Chinese provinces from 2000 to 2016, we investigated the impact of population ageing and financial deepening on economic growth. Based on the dynamic panel system GMM estimators, the empirical results address that both population ageing and financial deepening have a significantly positive impact on economic growth, while the interactions between them have a significantly negative effect on economic growth. From the perspective of total marginal effect, we also find that population ageing does contribute to economic growth but only when financial deepening is less than a threshold level; however, on the whole, financial deepening has an inhibitory effect on economic growth which increases with population ageing.

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“…CPE is an important indicator which indicates the degree of consistency between the population distribution and economic development of a region [11,12,14]. There are relatively few studies that use CPE to measure region disparities, but those did show that inconsistency between the population distribution and economic development tend to enlarge regional disparities [15,19].…”

Section: Consistency Of Population and Economy (Cpe) And Regional Ecomentioning

confidence: 99%

Balancing Population Distribution and Sustainable Economic Development in Yangtze River Economic Belt of China

et al. 2019

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From a macro perspective, the inconsistency between population distribution and economic development reflects the lag of population mobility and, at the same time, widens regions’ economic disparity. China, as a socialist country, is very concerned with the regional disparities. Aiming at analyzing ways to reduce regional disparities and promote balanced and sustainable regional developments, this paper applies spatial analytical methods in econometrics, using the Yangtze River Economic Belt in China as an example, to analyze the spatial inconsistency between the distribution of population and economic development. The study also examines the influencing factors for such inconsistency and proposes countermeasures from the perspective of floating population and regional economics. The research results show that the improvement of human capital and the tilt of regional policies are conducive to population agglomeration. Furthermore, increasing the input of physical capital can promote economic agglomeration. From the spatial econometric analysis in this paper, the direct and indirect effects have opposite directions, so it is necessary to consider the indirect effects when implementing policies or programs.

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Population dynamics and economic growth in China

Cited by 32 publications

References 39 publications

Government institutions and the dynamics of urban growth in China

Government institutions and the dynamics of urban growth in China

Population Ageing, Financial Deepening and Economic Growth: Evidence from China

Balancing Population Distribution and Sustainable Economic Development in Yangtze River Economic Belt of China

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