Impacts of Educational Factors on Economic Growth in Regions of China: A Spatial Econometric Approach

Lv, Kangjuan; Yu, Anyu; Gong, Siyi; Wu, Maoguo; Xu, Xianglan

doi:10.3846/20294913.2015.1071296

Cited by 23 publications

(19 citation statements)

References 32 publications

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“…The fourth position in the ranking was taken by the D 5 variable indicating a country location in Asia or Oceania regions. This suggests that conditions similar to those in Asia or Oceania (in the period from 2002-2013) may determine the most likely positive economic growth (Lv et al [71]).…”

Section: Resultsmentioning

confidence: 99%

Sources of Economic Growth: A Global Perspective

2019

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The main goal of this paper is to determine the factors responsible for economic growth at the global level. The indication of the sources of economic growth may be an important element of the sustainable economic policy for development. The novelty of this research lies in employing an analysis based on data, which consist of an average growth rate of the Gross Domestic Product (GDP) for 168 countries for the years 2002–2013. The Bayesian model averaging approach is used to identify potential factors responsible for differences in countries’ GDPs. Additionally, a jointness analysis is performed to assess the potential independence, substitutability, and complementarity of the factors of economic growth. The robustness of the results is confirmed by Bayesian averaging of classical estimates. We identify the most probable factors of economic growth, and we find that the most important determinants are variables associated with the so-called “Asian development model”.

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Section: Resultsmentioning

confidence: 99%

Sources of Economic Growth: A Global Perspective

2019

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“…Lin [29] examined the effects of higher education curricula on the labor force and thus on economic growth in Taiwan, and found that higher education overall provided a positive and significant effect on Taiwan's economic development. Lv et al [30] took into account the spatial spillover effects across 31 provinces over the period 1996-2010 in China and found that average schooling year has a more positive effect on economic growth than capital investment and labor force. However, Benos and Zotou [3] pointed out that there is substantial publication selection bias toward a positive impact of education on growth by surveying 57 studies.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Educational Investment on Sustainable Economic Growth in Guangdong, China: A Cointegration and Causality Analysis

Liao

Wang

et al. 2019

Sustainability

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Education, as an investment in human capital, is regarded as an important determinant of sustainable economic growth [1,2]. The purpose of this study is to explore the cointegration and causality between the investment in education and sustainable economic growth in Guangdong province by using the panel data of 21 cities from 2000 to 2016. We construct a variable intercept panel data model with an individual fixed effect based on the Cobb-Douglas production function, estimating the contribution of the investment in education to economic growth by introducing lags. The findings show the existence of the feedback causality between education and sustainable economic growth. Also, the results reveal that the local financial investment in education plays a positive and statistically significant role in promoting sustainable economic growth. However, the contribution of the local financial investment in education to economic growth varies in different areas. The investment in education in the Pearl River Delta region have the most obvious pull effects on its regional economy, whereas the Western region takes the second place. Meanwhile, the local financial investment in education for its role in promoting economic growth obviously has a two-year hysteresis effect. These findings have important implications for Guangdong’s solution to the imbalance between regional educational investment and sustainable economic growth.

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“…These issues have attracted considerable attention to regions. Currently, more researchers are focusing their efforts on studying the economic, political and social influences that regions exert over territories from different but convergent perspectives, e.g., the regional effects that the twin notions of creative class and creative capital have over territories (Florida, 2002(Florida, , 2005Florida, Mellander, & Stolarick, 2008), the economic implications of innovation and the Schumpeterian regional view (Batabyal & Yoo, 2018), the regional influence that regions exert over companies (Sucháček, Seďa, Friedrich, & Koutský, 2017), and the social factors involving educational and regional growth (Lv, Yu, Gong, Wu, & Xu, 2017).…”

Section: Introductionmentioning

confidence: 99%

Induced and Logarithmic Distances With Multi-Region Aggregation Operators

Alfaro‐García

Merigó

Pérez

et al. 2019

Technological and Economic Development of Economy

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This paper introduces the induced ordered weighted logarithmic averaging IOWLAD and multiregion induced ordered weighted logarithmic averaging MR-IOWLAD operators. The distinctive characteristic of these operators lies in the notion of distance measures combined with the complex reordering mechanism of inducing variables and the properties of the logarithmic averaging operators. The main advantage of MR-IOWLAD operators is their design, which is specifically thought to aid in decision-making when a set of diverse regions with different properties must be considered. Moreover, the induced weighting vector and the distance measure mechanisms of the operator allow for the wider modeling of problems, including heterogeneous information and the complex attitudinal character of experts, when aiming for an ideal scenario. Along with analyzing the main properties of the IOWLAD operators, their families and specific cases, we also introduce some extensions, such as the induced generalized ordered weighted averaging IGOWLAD operator and Choquet integrals. We present the induced Choquet logarithmic distance averaging ICLD operator and the generalized induced Choquet logarithmic distance averaging IGCLD operator. Finally, an illustrative example is proposed, including real-world information retrieved from the United Nations World Statistics for global regions.

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Impacts of Educational Factors on Economic Growth in Regions of China: A Spatial Econometric Approach

Cited by 23 publications

References 32 publications

Sources of Economic Growth: A Global Perspective

Sources of Economic Growth: A Global Perspective

The Impact of Educational Investment on Sustainable Economic Growth in Guangdong, China: A Cointegration and Causality Analysis

Induced and Logarithmic Distances With Multi-Region Aggregation Operators

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