scholarly journals The Effect of Governance Quality on Economic Growth: Based on China’s Provincial Panel Data

Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 56 ◽  
Author(s):  
Jiandang Liu ◽  
Jie Tang ◽  
Bo Zhou ◽  
Zhijun Liang
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Panel Data ◽  
High Speed ◽  
Growth Effect ◽  
Eastern Region ◽  
High Quality ◽  
Governance Quality ◽  
The Impact

This paper investigates the impact of governance quality on economic growth in China. After developing a theoretical framework for the effect of governance quality on local economic growth, this article studies the panel data in provincial regions over the period 2001–2015 by constructing a new comprehensive index of provincial governance, and checks the robustness of the empirical findings from four aspects. The results show that governance quality has a positive effect on economic growth, due to good governance strengthening the “helping hand” or weakening the “grabbing hand” of power. Governance quality presents diminishing marginal returns, which means that the high-speed economic growth effect becomes less and less, while the high-quality economic development effect becomes more and more. Higher governance quality could bring a high-speed economic growth effect in the western region, while higher governance quality could bring a high-quality economic development effect in the eastern region. Compared with fixed-asset investment, human capital has played a more important role in economic growth. In order to promote the sustainable development of China’s economy, policy makers should improve local governance quality, strengthen the capacity of independent innovation, and promote the accumulation of high-quality human capital.

scholarly journals Research on the construction of smart supply chain system under the background of supply side reform

2021 ◽  
Vol 235 ◽  
pp. 03027
Author(s):  
Yonghui Cao ◽  
He Jiang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Supply Chain ◽  
High Speed ◽  
Structural Reform ◽  
Supply Side ◽  
Quality Development ◽  
High Quality ◽  
Supply Chain System ◽  
Chain System

At present, China’s economy has entered a new period of high-quality development from the stage of high-speed growth. The supply side structural reform focusing on removing production capacity, inventory, deleveraging, cost reduction and making up for weaknesses is a major strategic measure to enhance the driving force of sustained economic growth, solve the deep-seated problems of economic development and improve the quality of economic development. Accelerating the innovation and application of smart supply chain has become an important part of promoting supply side structural reform, cultivating new economic growth points and building a modern economic system. This paper mainly analyzes the emergence and research status of smart supply chain and the construction of smart supply chain system under the background of supply side reform, so as to promote the high-quality development of economy.

scholarly journals The Impact of Higher Education and Human Capital Quality on “Local-Neighborhood” Economic Growth

2021 ◽  
Vol 8 (1) ◽  
pp. 1041-1057
Author(s):  
Ran Zhao ◽  
Yuhong Du
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Technological Innovation ◽  
River Delta ◽  
Neighborhood Effect ◽  
Local Neighborhood ◽  
Catch Up ◽  
The Impact

Based on China’s provincial panel data from 1990 to 2017 and the improved Lucas, Nelson & Phelps model, the Spatial Dubin Model is used to test the spatial effects of higher education and human capital quality. The results showed that high-level human capital, characterized by higher education and urban labor income index, indirectly promoted local economic growth through technological innovation. There was also a “local-neighborhood” synergy effect. The neighborhood effect was manifested in that it affected the economic development of neighbors by promoting technological catch-up. After considering the quality factor, both the local and neighborhood effects were enhanced. From a regional perspective, higher education in the Yangtze River Delta, where the level of economic development is relatively high, was manifested as a spatial spillover effect of technological innovation and the neighborhood effect in the northeastern Bohai Rim and the Pearl River Delta was manifested as a technological catch-up.

scholarly journals The Impact of High-Speed Rail Opening on City Economics along the Silk Road Economic Belt

2020 ◽  
Vol 12 (8) ◽  
pp. 3176 ◽  
Author(s):  
Feng Li ◽  
Yang Su ◽  
Jiaping Xie ◽  
Weijun Zhu ◽  
Yahua Wang
Keyword(s):  
Economic Growth ◽  
High Speed ◽  
Silk Road ◽  
Growth Effect ◽  
Control Group ◽  
High Speed Rail ◽  
Large Cities ◽  
Railway Infrastructure ◽  
Silk Road Economic Belt ◽  
The Impact

Achieving transport connectivity is a priority in China’s “Belt and Road Initiative”. In order to further understand the impact of railway infrastructure on city-level economic expansion, we set cities with high-speed rail as the treatment group and those without high-speed rail as the control group, and a difference-in-differences (DID) technique was used to estimate the growth impact and heterogeneity of high-speed rail opening on the economic growth of cities along the New Silk Road Economic Belt. The main results are as follows: First, economic growth in cities with operational high-speed rail lines was significantly higher than those without high-speed rail. Second, the impact of high-speed rail on economic growth exhibited distinct heterogeneity. Large cities tend to have a stronger siphoning effect, resulting in more pronounced impact of high-speed rail opening on urban economic growth. Third, cities with higher marketization levels and higher government efficiency were shown to have stronger economic growth effect.

scholarly journals Research on the Impact of Technological Finance on Financial Stability: Based on the Perspective of High-Quality Economic Growth

Complexity ◽  
2022 ◽  
Vol 2022 ◽  
pp. 1-15
Author(s):  
Lu Shen ◽  
Guohua He ◽  
Huan Yan
Keyword(s):  
Economic Growth ◽  
Financial Stability ◽  
Total Sample ◽  
Western China ◽  
Eastern Region ◽  
High Quality ◽  
Shock Effect ◽  
Short Period ◽  
The Impact ◽  
Negative Shock

This paper investigates the relationship between technological finance, high-quality economic growth, and financial stability. Based on data of 30 provinces (including autonomous regions and municipalities) collected between 2004 and 2017, this paper adopts the method of factor analysis to construct comprehensive indexes of technological finance and financial stability before calculating green total factor productivity as the index of high-quality development, using the CRS Multiplicative Model. Then it constructs the spatial SAC model and PVAR model for analyses of the just-mentioned relationship based on the total sample of the nation and regional samples in eastern, middle, and western China, respectively. The results reveal that (1) All samples, whether the total national samples or regional samples of eastern, middle, and western China demonstrate the positive influence of technological finance on high-quality economic development, with an obvious spatial spillover effect. The impact factor is the highest in the eastern region, while the western region holds the lowest factor among the three. (2) Judging by the general national sample, technological finance has an obvious negative shock effect on financial stability within a short period, but the effect gradually dwindles as time goes by. This rule applies to the sample of the eastern region, as its technological finance poses a short-time negative shock effect on financial stability, before gradually diminishing to 0. Neither western nor middle regions have displayed an obvious shock impact on financial stability.

Human Capital Formation and Economic Growth in Sub-Saharan African Countries: An Empirical Investigation

2020 ◽  
Vol 68 (2) ◽  
pp. 249-268
Author(s):  
Taiwo Akinlo ◽  
Olusola Joel Oyeleke
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Education And Health ◽  
Level Of Economic Development ◽  
Sub Saharan ◽  
Generalised Method Of Moments ◽  
The Impact

This study explored human capital–economic growth nexus and determine if the relationship is influenced by the level of economic development in 36 sub-Saharan African countries during the period from 1986–2018. The study used dynamic generalised method of moments (GMM) and static estimations to achieve the objective of the study. The study used alternative indicators of human capital to provide strong evidence and robust results. The study also considered the income groups within the region. The study found that human capital contributed to economic growth, as its indicators are positive and significant. The study also found that the connection that exists between human capital and economic growth also depends on the level of economic development. Generally, our finding emphasised that both education and health measures of human capital are important, and that policymakers must consider the level of economic development while formulating policies that can enhance the impact of human capital on economic growth in the Sub-Saharan Africa region.

scholarly journals Human Capital Formation and Economic Growth in Emerging Asia: Empirical Evidence Using Panel Data

2020 ◽  
Vol 3 (2) ◽  
pp. 205-212
Author(s):  
Muhammad Atiq-ur- Rehman ◽  
Suleman Ghaffar ◽  
Kanwal Shahzadi ◽  
Rabail Ghazanfar
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Fixed Effects ◽  
Random Effect ◽  
Capital Formation ◽  
Human Capital Formation ◽  
Data Set ◽  
The Government ◽  
The Impact

After the emergence of endogenous growth theory, the role of human capital along with physical capital is considered to be imperative in promoting economic growth. The government social sector spending, mainly on education and health, contributes in forming human capital and promotes economic growth. This study examines the impact of health and education provisions on economic growth of emerging Asian economies, including Bangladesh, China, India, Indonesia, Malaysia, Pakistan, Philippine, and Thailand. Using the data set for 1995-2018, the fixed effects (FE) and the random effect (RE) methods of panel data estimation are employed. Both methods reveal that the health and education support the human capital formation and stimulate economic growth.

scholarly journals Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Min Li ◽  
Zamira Madina
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Eastern Region ◽  
Quality Development ◽  
High Quality ◽  
Enterprise Value ◽  
Development Level ◽  
The Impact

Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion of intangible assets, strong profitability, and rapid growth. At the same time, there are also the characteristics of high risk and high uncertainty. In addition to the existing value brought by existing profitability, corporate value should also consider the potential value brought by potential profitability. Enterprise value is affected by many factors such as profitability, growth ability, innovation ability, and external environment. Traditional valuation techniques are often utilised to value artificial intelligence businesses in the present market. Traditional valuation methods ignore the dynamics and uncertainties of artificial intelligence enterprise value evaluation, make static and single predictions of future earnings, ignore the value of enterprise management flexibility, and are unable to assess the intrinsic value of artificial intelligence businesses. Based on the projection pursuit method, this paper constructs a modern high-quality development enterprise high-quality development evaluation model, uses real-code accelerated genetic algorithm to optimize the projection objective function, and calculates the best projection direction vector and projection value. The collected sample data can be imported into the evaluation model to calculate the comprehensive evaluation value of the high-quality development of modern high-quality development enterprises and the weights of various indicators included. By comparing the size of the comprehensive evaluation value, each sample can be calculated Evaluation of the level of high-quality development. The results show that the high-quality development level of China’s overall economy is on the rise, but the level of development is still low, and there is a large gap between the development level of the eastern region and the central and western regions. Using the systematic generalized moment estimation method, empirically, we analyse the impact of artificial intelligence on the high-quality economic development. The results show that artificial intelligence at the national level and in the central and western regions will significantly promote high-quality economic development, while artificial intelligence in the eastern region has a significant inhibitory effect on high-quality economic development.

scholarly journals Social Security and Sustainable Economic Growth: Based on the Perspective of Human Capital

2019 ◽  
Vol 11 (3) ◽  
pp. 662 ◽  
Author(s):  
Ming Zhang ◽  
Xiaorong Zou ◽  
Long Sha
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Social Security ◽  
Threshold Model ◽  
Threshold Effect ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Sustainable Economic Growth ◽  
The Impact

China’s social security expenditure has rapidly grown during the past decade, and concerns about the impact of social security on productivity and sustained economic growth have attracted attention. Based on Chinese provincial panel data over the period 2007–2016, a threshold model analysis found that the impact of social security on productivity has a “double threshold” on human capital. Using dynamic panel data models and system General Moment Method estimators also found the existence of this threshold effect: When the human capital level is low or high, social security is favorable for sustained economic growth. However, if the human capital level is at the intermediate level, the function of social security is weak. The main conclusions were still valid after we examined the robustness of our results with several methods.

The Problem of the Impact of Human Capital Formed in the Education System on the Socio-Economic Development of Russian Regions

2021 ◽  
Vol 9 (2) ◽  
pp. 34-37
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Education System ◽  
Russian Regions ◽  
Industrial Economy ◽  
Socio Economic Development ◽  
Post Industrial ◽  
The Impact ◽  
Positive Effect

The paper put forward hypotheses that the possibility of economic growth during the transition to a post-industrial economy is determined by human capital formed in the higher education system, the possibility of economic well-being in the transition to a post-industrial economy is determined by human capital formed in the tertiary system. Education, institutional transformations in the education system due to their incon-sistency and approaches based on the administrative and control style of management inherited from the industrial economic system, worsen the conditions for the formation of human capital in the education system of modern Russia. To assess the impact of the socio-economic development of human capital formed in the education system, it is proposed to perform by means of a correlation analysis of links between indicators characterizing the composition of the employed population by education level and indi-cators characterizing the socio-economic development of Russian regions by years of a twenty-year period starting from 2000 to 2019. Preliminary research has made it possible to establish that the employed population of the regions with higher education has a positive effect on economic growth in the regions, but this influence is decreasing; the employed population of the regions with lower levels of education negatively affect the economic growth in the regions. The employed population of regions with higher and professional education has a positive effect on the welfare of the regions.

scholarly journals Human capital formation and economic growth across the world: a panel data econometric approach

2019 ◽  
pp. 25-54
Author(s):  
Víctor Manuel Cuevas Ahumada ◽  
Cuauhtémoc Calderón Villarreal
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Measurement Errors ◽  
Institutional Development ◽  
Capital Formation ◽  
Dynamic Panel Data ◽  
Policy Implications ◽  
Human Capital Formation ◽  
The Impact

This paper estimates 12 dynamic panel data models to assess the impact of human capital formation and other key variables on the economic growth of 52 countries over a 13-year period. Several methodological and empirical contributions are made to assemble country groups, lower measurement errors and reduce the omitted variable bias while keeping the models parsimonious. Among other things, the evidence indicates that the responsiveness of economic growth to physical capital accumulation, institutional development, human capital formation, and total factor productivity varies across country groups to a certain extent. The policy implications of these findings are relevant on several grounds.

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