How does natural resource dependence affect public education spending?

Sun, Huaping; Sun, Wei; Geng, Yong; Yang, Xi; Edziah, Bless Kofi

doi:10.1007/s11356-018-3853-6

Cited by 50 publications

(28 citation statements)

References 46 publications

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“…Cockx and Francken (2014) and Butkiewicz and Yanikkaya (2010) proposed that resource-rich countries may invest less into the development of human capital, which impedes the development of non-resource sectors, resulting in lower productivity and overall growth rate. Some studies have been conducted in different resourcerich countries (Akpan & Chuku, 2014;Sun et al, 2019), which shared the same basic viewpoint that investment in human capital does not deliver the expected earnings and outcomes (Filmer et al, 2017); consequently, the public desire for education declines, causing a deficit in the driving force of the accumulation of human capital. For example, Blanco and Grier (2012) found that, when natural resource dependence is disaggregated into subcategories, petroleum export dependence shows a positive effect on physical capital and a negative effect on human capital, and that this effect held in the long-run for 17 Latin American countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Dilemma of Natural Resource Abundance: A Case Study of Kuwait

Aljarallah

Angus

2020

SAGE Open

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There is a lively debate about the relationship between a nation’s natural resource abundance and economic growth. Some view natural resource abundance as a curse, whereas others view it as a blessing. This study examines the economic, social, and political effects of resource abundance in an oil-rich country, Kuwait, using data from 1984 to 2014. This study analyzes the short- and long-run impacts of resource rents on per capita gross domestic product (GDP), productivity, human capital, and institutional quality. The study reveals through autoregressive distributed lag modeling and error correction modeling that resource rents increase per capita GDP merely in the short-run; however, resource rents deteriorate productivity, human capital, and institutional quality in both the short and the long-run. These results indicate that, for Kuwait, the overreliance on its natural resources has been detrimental over the long-run. The study suggests that there is a need to improve the quality of institutions and enhance the level of human capital to get economic sustainability and development over time.

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Section: Literature Reviewmentioning

confidence: 99%

Dilemma of Natural Resource Abundance: A Case Study of Kuwait

Aljarallah

Angus

2020

SAGE Open

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“…Studies have shown that, since the beginning of the 21 st century, there has been a significant positive relationship between energy resource development and economic growth in Central Asia, which excludes the hypothesis that the region's long-term dependence on energy resource development leads to a "resource curse." Sun et al [23] believe that the government should adopt the method of transfer payment to promote regionally balanced development. Better economic and social policies will help transform wealth from natural resources to economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

Does Financial Development Hamper or Improve the Resource Curse? Analysis Based on the Panel Threshold Effect Model

Sun

Cai

2020

Mathematical Problems in Engineering

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This paper analyzes the “resource curse” and “financial threshold effect” that may exist in China and then uses the data from 30 provinces from 2004 to 2018 as research samples. We used linear regression and nondynamic panel threshold models to analyze the financial threshold effects of the “resource curse” hypothesis and the “resource curse” phenomenon. At the same time, we divided the level of financial development to verify the robustness of the research conclusions in this paper. The study found the following: (1) There is a certain correlation between the abundance of resources and economic growth. Whether this can be seen as a “curse” or a “blessing” of resources is significantly related to the degree of financial development. (2) Whether financial development can alleviate the “resource curse” depends on the degree of financial development. In the extremely scarce stage of financial resources, the resource endowment effect is obvious, and the level of economic development in resource-based regions will be higher than in other regions; when the level of financial development is low (financial resources are not scarce and have not reached a reasonable level), the phenomenon of the “resource curse” appears; when the level of financial development is highly developed, economic development benefits more from financial development, and the effects of resource endowment decline. Only when financial development is at a reasonable level can resource endowments effectively raise the level of economic development.

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“…At the onlooker bees phase, to exploit the found better solution, sources with higher probability have chances to be selected using a selection method such as the roulette wheel and undergoes same procedure as the employed bees. Lastly, scout bees phase will be activated once the abandonment counter is higher than the predetermined limit value and utilized again the equation (1) to generate new food source [33].…”

Section: = { | |mentioning

confidence: 99%

“…To implement ABC for binary optimization, equations (1) and (2) should be modified. The equation (1), which represents the food source is converted into binary vector through the Bernoulli process, whereas, arithmetic operators in equation 2, was modified into logical, bitwise or genetic operators.…”

Section: Binary Artificial Bee Colonymentioning

confidence: 99%

“…One of the important factors for nation's sustainable economy which aimed in the improvement of proficiency of general public is education [1]. Knowledge discovery from learning institution's databases through different techniques in data mining can aid in informed decision-making [2], [3] and when paired with advances of machine learning algorithms, it can build prediction models with enhanced accuracy [4], [5].…”

Section: Introductionmentioning

confidence: 99%

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A Prediction-based Curriculum Analysis using the Modified Artificial Bee Colony Algorithm

Cutad¹,

Gerardo²

2019

IJACSA

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Due to the vast amount of students' information and the need of quick retrieval, establishing databases is one of the top lists of the IT infrastructure in learning institutions. However, most of these institutions do not utilize them for knowledge discovery which can aid in informed decision-making, investigation of teaching and learning outcomes, and development of prediction models in particular. Prediction models have been utilized in almost all areas and improving the accuracy of the model is sought-after this study. Thus, the study presents a Scoutless Rule-driven binary Artificial Bee Colony (SRABC) as a searching strategy to enhance the accuracy of the prediction model for curriculum analysis. Experimental verification revealed that SRABC paired with K-Nearest Neighbor (KNN) increases the prediction accuracy from 94.14% to 97.59% than paired with Support Vector Machine (SVM) and Logistic Regression (LR). SRABC is efficient in selecting 14 out of 60 variables through majority voting scheme using the data of the BSIT students of Davao Del Norte State College (DNSC),

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How does natural resource dependence affect public education spending?

Cited by 50 publications

References 46 publications

Dilemma of Natural Resource Abundance: A Case Study of Kuwait

Dilemma of Natural Resource Abundance: A Case Study of Kuwait

Does Financial Development Hamper or Improve the Resource Curse? Analysis Based on the Panel Threshold Effect Model

A Prediction-based Curriculum Analysis using the Modified Artificial Bee Colony Algorithm

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