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自然資源租金、公共債務(wù)和經(jīng)濟增長之間的聯(lián)系

發(fā)布時間:2023-12-07 19:34
  許多研究人員對自然資源豐富度與經(jīng)濟增長之間的關(guān)系進行了研究,以檢驗“資源詛咒”假說的有效性。此外,其他幾項研究評估了公共債務(wù)與經(jīng)濟發(fā)展之間的相關(guān)性,以證實其他“債務(wù)懸而未決”的假設(shè)。由于自然資源收入和政府借款在增長模型中發(fā)揮著重要作用,多年來,這些話題一直受到研究人員的高度關(guān)注,但研究結(jié)果尚無定論。盡管大多數(shù)宏觀經(jīng)濟變量都具有非線性特征,但在現(xiàn)有的對自然資源豐度-經(jīng)濟增長和公共債務(wù)-經(jīng)濟增長關(guān)系建模的研究中,最重要的部分是基于對稱關(guān)系的線性框架中進行的。這種線性假設(shè)可能是在自然資源財富,政府債務(wù)和經(jīng)濟增長關(guān)系方面得出混合結(jié)果的原因。線性模型可能是不適合檢查自然資源豐富度,公共債務(wù)與經(jīng)濟增長之間關(guān)系的方法,因為它可能會為這種關(guān)系提供誤導(dǎo)性建議。此外,部分研究者認為,過度借貸是礦物資源豐富的國家,特別是撒哈拉以南非洲發(fā)展中國家的政府的重要特征。這種現(xiàn)象通常被稱為自然資源意外收獲和“以繁榮為基礎(chǔ)的借貸”。一些研究指出,在這段時期內(nèi),撒哈拉以南地區(qū)的大多數(shù)國家都出現(xiàn)了增長率下降和外債水平上升的現(xiàn)象,伴隨發(fā)現(xiàn)天然礦產(chǎn)資源并獲得可觀的收入。一個常識是,自然資源是獲取貸款的保證,這些貸款主要來自國際...

【文章頁數(shù)】:222 頁

【學(xué)位級別】:博士

【文章目錄】:
Dedication
CURRICULUM VITAE
ABSTRACT
摘要
CHAPTER 1:Introduction
    1.1 Background of Study and Problem statement
    1.2 Research Gaps
    1.3 Research Objectives
    1.4 Research Questions
    1.5 Research Contributions
    1.6 Research Framework
    1.7 Organization of the Research
CHAPTER2:Theoretical Literature Review
    2.1 Introduction
    2.2 Resource curse theory
    2.3 Transmission channels of the Resource curse
        2.3.1 Dutch Disease explanations
        2.3.2 Institutional Quality and Governance model
        2.3.3 Rent-seeking models
        2.3.4 Political and civil instability models
    2.4 Other determinants of economic growth
        2.4.1 Trade Openness
        2.4.2 Inefficient Spending and Borrowing by governments
        2.4.3 Inflation
        2.4.4 Population Growth
CHAPTER3:Empirical Literature Review
    3.1 Introduction
    3.2 Empirical studies on natural resource and growth
    3.3 Natural resource and public debt
        3.3.1 Public debt and Economic growth
CHAPTER 4:Total natural resource rents,trade openness,and economic growth in the top mineral-rich countries:Evidence from the nonlinear asymmetric analysis
    4.1 Introduction
    4.2 Data and Methodology
        4.2.1 Data
    4.3 Theoretical framework and Methodology
        4.3.1 The Nonlinear ARDL bounds testing approach for cointegration
        4.3.2 Nonparametric Causality tests
    4.4 Results and interpretations
        4.4.1 Descriptive statistics and unit root tests
        4.4.2 Cointegration Analysis
        4.4.3 The Traditional Granger causality test
        4.4.4 The BDS test
        4.4.5 Asymmetric causality results
        4.4.6 Results of NARDL Estimations
        4.4.7 Diagnostic tests
        4.4.8 Asymmetric tests
        4.4.9 Stability tests
    4.5 Conclusions
CHAPTER5:Effect of total natural resource rents on public debt:A panel analysis of resource-rich countries
    5.1 Introduction
    5.2 Data
    5.3 Methodology
        5.3.1 Pooled Mean Group(PMG)estimations models
        5.3.2 Vector error correction model
        5.3.3 Panel Granger Causality
    5.4 Results and Discussions
        5.4.1 Unit Root Test Result
        5.4.2 Panel Cointegration Results
    5.5 Panel Causality Test Result
    5.6 Conclusion
CHAPTER6:Further investigation of the resource curse hypothesis:The role of public debt in resource-abundant Sub-Saharan African countries
    6.1 Introduction
    6.2 Data Sources
    6.3 Econometric Methodology
    6.4 DATA ANALYSIS AND FINDINGS
        6.4.1 Descriptive statistics
        6.4.2 Unit root test
        6.4.3 Johansen Cointegration Analysis
        6.4.4 Linear Granger Causality Test
        6.4.5 The BDS test
        6.4.6 Nonlinear ARDL bounds test
        6.4.7 Robustness check of the model(post estimation)
        6.4.8 Asymmetric tests
        6.4.9 Stability tests
        6.4.10 Pooled mean group(PMG)test
        6.4.11 Asymmetric causality results
    6.5 CONCLUSION
CHAPTER7:The effect of public debt on economic growth in abundant resource countries
    7.1 Introduction
    7.2 Data
    7.3 Methodology
        7.3.1 Nonlinear Autoregressive Distributed Lag(NARDL)
    7.4 Empirical Results and Discussions
        7.4.1 Granger Causality Test
        7.4.2 BDS test
        7.4.3 Diagnostic test results
        7.4.4 Nonlinear cointegration results
        7.4.5 Long-run asymmetric effects results
        7.4.6 Wald test results for asymmetric restrictions
        7.4.7 Asymmetric Causality results
    7.5 Summary and Conclusion
CHAPTER8:General Conclusion and Policy Recommendations
Acknowledgement
References



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