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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 農業經濟學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80786
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dc.contributor.advisor陸怡蕙(Yir-Hueih Luh)
dc.contributor.authorOscar Hamilton García Xitumulen
dc.contributor.author葛士剛zh_TW
dc.date.accessioned2022-11-24T03:16:33Z-
dc.date.available2021-11-06
dc.date.available2022-11-24T03:16:33Z-
dc.date.copyright2021-11-06
dc.date.issued2021
dc.date.submitted2021-10-12
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Retrived July 2021, from https://estadisticas.cepal.org/cepalstat/WEB_CEPALSTAT/estadisticasIndicadores.asp?idioma=e. CEPAL, FAO and IICA (2019). 'Perspectivas de la agricultura y del desarrollo rural en las Américas: una mirada hacia América Latina y el Caribe.' 2021, from https://repositorio.cepal.org/bitstream/handle/11362/45111/1/CEPAL-FAO2019-020_es.pdf Dippel C, Ferrara A, Heblich S. Causal mediation analysis in instrumental-variables regressions. The Stata Journal. 2020;20(3):613-626. doi:10.1177/1536867X2095572. El Benni, N., Finger, R. (2013). 'The effect of agricultural policy reforms on income inequality in Swiss agriculture - An analysis for valley, hill and mountain regions.' Journal of Policy Modeling 34(4): 14. Fairchild, A.J., MacKinnon, D.P. A General model for testing mediation and moderation effects. Prev Sci 10, 87–99 (2009). https://doi.org/10.1007/s11121-008-0109-6. Furceri, D., and Ostry, J. D. (2019). 'Robust determinants of income inequality.' Oxford Review of Economic Policy 35(3):28. Gold, R., Kennedy, B., Connell, F., Kawachi, I. (2002). 'Teen births, income inequality, and social capital: developing an understanding of the causal pathway.' Health Place 8:17. Gonzalez, I., Resosudarmo, B. P. (2019). 'A sectoral growth-income inequality nexus in Indonesia.' Regional Science Policy and Practice 11:17. Hamori, S., Hashiguchi, Y. (2012). 'The effect of financial deepening on inequality: some international evidence.' Journal of Asian Economics 23:7. ICO (2011). 'The coffee guide: ICO indicator prices'. Retrieved July 2021, 2011, from https://www.thecoffeeguide.org/coffee-guide/world-coffee-trade/ICOindicator-prices/. ITC. (2021). Intracen trade statistics. Retrieved July 202, from https://www.intracen.org/itc/market-info-tools/trade-statistics/. Khan, N. H., Ju, Y., Hassan, S. T. (2019). 'Investigating the determinants of human development index in Pakistan: an empirical analysis.' Environmental Science and Pollution Research 26: 11. Lin, F., Fu, D. (2015). 'Trade, institution quality and income inequality.' World Development 77: 14. Luh, Y.-H., Wei, F.-M. (2019). 'Distributional effect of the farmer pension program in Taiwan: a regression-based decomposition analysis.' China Agricultural Economic Review 11(1):206. Maertens, M., Swinnen, J. (2009). 'Trade, standards, and poverty: evidence from Senegal.' World Development 37(1): 19. Mbowa, S., Odokonyero, T., Muhumuza, T., Munyambonera, E. (2017). 'Does coffee production reduce poverty? evidence from Uganda.' Journal of Agribusiness in Developing and Emerging Economies 7(3):15. Minot, N., Daniels, L. (2005). 'Impact of global cotton markets on rural poverty in Benin.' Agricultural Economics 33. Mustafa, M., Rizov, M., Kernohan, D. (2017). 'Growth, human development, and trade: the Asian experience.' Economic Modelling 61:8. Nguyen, T-C., Vu, T-N., Vo, D-H., Ha D-T-T. (2019). 'Financial development and income inequality in emerging markets: a new approach.' Journal of Risk and Financial Management 12(4):173. OECD and FAO. (2019). 'Agricultural outlook from 2019 to 2028.' Retrieved July 2021, from http://www.fao.org/3/CA4076EN/CA4076EN_Chapter2_Latin_ American_Agriculture.pdf. Otsuka, K. (2013). 'Food insecurity, income inequality, and the changing comparative advantage in world agriculture.' Agricultural Economics 44: 11. Permandi, Y. A. (2018). 'Growth, inequality, and poverty: an analysis of pro-poor growth in Indonesia.' Journal Ekonomi Kuantitatif Terepan 11(2): 18. Preacher, K.J., Hayes, A.F. (2008) Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods 40, 879–891. https://doi.org/10.3758/BRM.40.3.879 Preacher, K.J., Hayes, A.F. (2004) SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments Computers 36, 717–731. https://doi.org/10.3758/BF03206553 Qasim, M., Pervaiz, Z., Chaudhary, A. R. (2020). 'Do poverty and income inequality mediate the association between agricultural land inequality and human development.' Social Indicators Research 151: 20. Raychaudhuri A., D., P. (2016). 'Trade, infrastructure and income inequality in selected Asian countries: an empirical analysis.' International Trade and International Finance: 21. Roine, J., Vlachos, J., Waldernström, D. (2009). 'The long-run determinants of inequality: what can we learn from top income data?' Journal of Public Economics 93: 74. Silva, J. A. (2007). 'Trade and income inequality in a less developed country: the case of Mozambique.' Economic Geography 83(2):26. Silva, J. A. (2013). 'Rural income inequality in Mozambique: national dynamics and local experiences.' The Review of Regional Studies 43: 28. The World Bank. (2011). 'The World Bank countries and lending groups.' 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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80786-
dc.description.abstract貿易開放的文獻中廣泛研究了全球化對國家增長水平、收入不平等和人類發展的影響。然而,一些地區的專業不同,拉丁美洲和加勒比地區最著名的產品是咖啡。迄今為止,該地區十大咖啡出口國生產了近 37% 的咖啡世界貿易。評估咖啡貿易對人類發展的影響對該地區至關重要。本研究旨在回答兩個問題:咖啡貿易如何影響拉丁美洲和加勒比地區的人類發展?長期嚴重的收入不平等對咖啡貿易與人類發展之間的關係有何影響?中介效應模型通過假設收入不平等作為中介來正確評估咖啡貿易與人類發展之間的關係。所提出的模型應用於 1980 年至 2020 年 10 個主要咖啡出口國的不平衡面板數據。我們的研究結果表明,咖啡貿易不是人類發展的重要決定因素。按收入水平分類的結果表明,咖啡貿易僅在高收入群體中是人類發展的重要決定因素。基礎設施被發現是高收入和低收入群體人類發展的重要預測因素。收入不平等對咖啡貿易活動的中介作用使低收入生產者黯然失色。因此,與咖啡貿易對拉丁美洲和加勒比地區有利的預期相反,本研究的結果表明,對高收入國家的負面影響更大,而對低收入國家沒有發現可衡量的好處。zh_TW
dc.description.provenanceMade available in DSpace on 2022-11-24T03:16:33Z (GMT). No. of bitstreams: 1
U0001-0810202110332500.pdf: 1441235 bytes, checksum: 9857bb49ab0af186c91d8c248969675d (MD5)
Previous issue date: 2021
en
dc.description.tableofcontents"CONTENTS ABSTRACT i 1.1 Objectives of study 1 1.2 Background 4 CHAPTER 2 LITERATURE REVIEW 13 2.1 Determinants of income inequality 13 2.2 Trade, income inequality and human development 16 CHAPTER 3 DATA AND METHODOLOGY 19 3.1 Data 19 3.2 Methodology 27 CHAPTER 4 RESULTS AND DISCUSSION 30 4.1 Coffee trade, income inequality and human development, base model 31 4.2 Coffee trade, income inequality and human development, expanded model 38 CHAPTER 5 CONCLUSION 46 REFERENCES 48 APPENDICES 53 "
dc.language.isoen
dc.subject拉丁美洲zh_TW
dc.subject咖啡貿易zh_TW
dc.subject人類發展zh_TW
dc.subjectLatin Americaen
dc.subjectCoffee Tradeen
dc.subjectHuman Developmenten
dc.title咖啡貿易、所得不均度與人類發展:拉丁美洲主要咖啡出口國之實證研究zh_TW
dc.title"Coffee Trade, Income Inequality and Human Development: An Empirical Study of Latin American Major Coffee Exporters"en
dc.date.schoolyear109-2
dc.description.degree碩士
dc.contributor.oralexamcommittee雷立芬(Hsin-Tsai Liu),張國益(Chih-Yang Tseng)
dc.subject.keyword咖啡貿易,人類發展,拉丁美洲,zh_TW
dc.subject.keywordCoffee Trade,Human Development,Latin America,en
dc.relation.page53
dc.identifier.doi10.6342/NTU202103615
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2021-10-14
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept農業經濟學研究所zh_TW
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