該研究旨在探討人力資本投資（教育和衛(wèi)生投資）與蒙古經(jīng)濟(jì)增長(zhǎng)之間是否存在因果關(guān)系。通過(guò)使用1997年至2017年間的時(shí)間序列數(shù)據(jù)進(jìn)行了實(shí)證分析。本研究收集的所有年度數(shù)據(jù)都是二手的,數(shù)據(jù)的來(lái)源真實(shí)可靠。所有數(shù)據(jù)集都通過(guò)官方個(gè)人數(shù)據(jù)進(jìn)行比較,以提高結(jié)果的可靠性和進(jìn)一步討論。何為經(jīng)濟(jì)中的動(dòng)力是經(jīng)濟(jì)領(lǐng)域關(guān)注的熱點(diǎn)之一?長(zhǎng)期以來(lái),經(jīng)濟(jì)理論主要是由阿爾弗雷德馬歇爾主導(dǎo),他認(rèn)為“資本”只能包括可以在市場(chǎng)上買(mǎi)賣(mài)的那些類(lèi)型的財(cái)富。自二十世紀(jì)下半葉以來(lái),人們對(duì)人力資本和非物質(zhì)資本形式的投資開(kāi)始增多,這是由于這些因素在經(jīng)濟(jì)過(guò)程中的作用發(fā)生了變化。在全球化時(shí)代,后工業(yè)經(jīng)濟(jì)和轉(zhuǎn)型經(jīng)濟(jì)時(shí)代,人力資本已成為保證競(jìng)爭(zhēng)力,可持續(xù)發(fā)展和福利的關(guān)鍵因素。在經(jīng)濟(jì)文獻(xiàn)中,個(gè)體中體現(xiàn)為人力資本的能力和知識(shí)是有助于提高勞動(dòng)生產(chǎn)率的資本形式之一。對(duì)藝術(shù),哲學(xué)或音樂(lè)史的研究并不是為了提高工作效率和工作效率,而是為了豐富一個(gè)人的生活。但是,對(duì)人力資本角色的現(xiàn)代理解要廣泛得多。人力資本投資是創(chuàng)造一個(gè)人提供長(zhǎng)期收入的生產(chǎn)能力的長(zhǎng)期投資。傳統(tǒng)上,人力資本有兩種最明顯的投資形式:教育投資-包括普通和特殊,正規(guī)和非正規(guī)教育,就業(yè)培訓(xùn);醫(yī)療保健投資-... 

【文章來(lái)源】：哈爾濱工業(yè)大學(xué)黑龍江省 211工程院校 985工程院校

【文章頁(yè)數(shù)】：85 頁(yè)

【學(xué)位級(jí)別】：碩士

【文章目錄】：
摘要
Abstract
Acronym
1 Chapter: Introduction
    1.1 Background of the Study
    1.2 Statement of the Problem
    1.3 Objectives of the Study
    1.4 Research Question
    1.5 Significance of the Study
    1.6 Organization of Paper
    1.7 Literature Review
2 Chapter: Methodology and Procedures
    2.1 Introduction to Methodology
    2.2 Data Description
    2.3 Hypothesis of the Study
    2.4 Empirical Methodology
        2.4.1 Augmented Dickey-Fuller Test
        2.4.2 Co-Integration Test
        2.4.3 Vector Error Correction Model
        2.4.4 Granger Causality Test
    2.5 Summary
3 Chapter: Empirical Analysis and Results
    3.1 Result of ADF Test (Augmented Dickey Fuller Test)
    3.2 Result of Vector Auto regression Lag Length Criteria
    3.3 Result of Johansen Co-Integration Test
    3.4 Result of Granger Causality Test for the Times Series 1997-2016
    3.5 Results of Vector Error Correction Mechanism
    3.6 Impulse Response Function
    3.7 Summary
4 Chapter: Discussions on Estimated Results and Policy Implications
    4.1 Results and Discussions
    4.2 Possible Policy Implication
    4.3 Summary
Conclusion, Contribution and Further Suggestions
    Conclusion
    Contribution
    Further Suggestions and Limitations
    Summary
References
Appendix
    Vector Autoregression Estimates and Lag Length Criteria
    Johansen Co-Integration Test
    Granger Causality Test
    Correlogram
    Vector Error Correction Model
    Wald Test
    VEC Residual Test
Acknowledgement
Resume



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