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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳郁蕙(Yu-Hui Chen) | |
| dc.contributor.author | Miriam Mariela Rodriguez Ruiz | en |
| dc.contributor.author | 若瑪蓮 | zh_TW |
| dc.date.accessioned | 2021-06-15T07:10:12Z | - |
| dc.date.available | 2011-08-22 | |
| dc.date.copyright | 2011-08-22 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-08-19 | |
| dc.identifier.citation | Agrobanco (2007). “Cultivo del Cafe”. Lima, Agrobanco-Area de Desarrollo.
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Agricultural Economists Association of South Africa (AEASA), 48th Conference, Cape Town, South Africa, September 19-23, 2010. INEI (2007). “Censo Nacional de Poblacion y Vivienda 2007”. Lima, INEI-Direccion Nacional de Cuentas Nacionales. Kalbasi, Hassan (2001). “The Gravity Model and Global Trade Flows”, Paper in the Conference of EcoMod, Washington DC. Kennedy, P. (2003). “A Guide to Econometrics”. Cambridge, Mass., MIT Press. Klaren, Peter (2005). “The Sugar Industry in Peru”. Revista de Indias, Vol. LXV No.233, 33-48. Kristjansdottir, H. (2005). “A Gravity Model for Exports from Iceland”. Reykjavik, University of Iceland and CAM. Linnemann, H. (1966). “An Econometric Study of International Trade Flows”. Amsterdam, North-Holland Pub. Co. Martinez, J. (2007). “Banana Organica del Peru”. Lima, Prompex. Mathyas, L. (1997). “Proper Econometric Specification of the Gravity Model”. The World Economy 20(3): 363-368. MINAG (2006). “Estudio de Mercado de Uvas”. 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(2011). “Mongolia’s International Trade: The Impact of Its Geographical Location”. JESNA Vol.7 No.2: 69-82 Pick, D. (1990). “Exchange Rate Risk and U.S. Agricultural Trade Flows”. American Journal of Agricultural 72, 694-700. Poyhonen, P. (1963). “A Tentative Model for the Flows of Trade Between Countries”. Weltwirtschaftliches Archive 90(1): 93-100. Presidencia, Peru (2000/10/31). Ley No. 27360: “Ley que Aprueba las Normas de Promocion del Sector Agrario”. El Peruano: 194515-20. Rostworowski, M. (2004). “Enciclopedia Tematica: Incas”. Lima, Orbis Ventures. Sevela, M. (2002). “Gravity-type Model of Czech Agricultural Export”. Agricultural Economics 48: 463-466. Shimitzu, T. (2003). “Development of Small-Scale Farmers Under a Liberalized Economy”. Lima, Institute of Developing Economies, Japan External Trade Organization (IDE-JETRO). Simon, J.E., A.F. Chadwick and L.E. Craker.(1984). “Herbs: An Indexed Bibliography. 1971-1980. The Scientific Literature on Selected Herbs, and Aromatic and Medicinal Plants of the Temperate Zone”. Archon Books: 770. Sohn, C. (2005). “Does the Gravity Model Fit Korea’s Trade Patterns? Implications for Korea’s FTA and North-South Korean Trade”. Japanese Economic Review, 56: 417-30. Soldevilla, S. (2008). Peru Lider en Exportacion de Banano Organico”. Piura, Incagro. Stata (2003). Cross-Sectional Time Series. College Station, Texas: Stata Press: 10,62, 93. Sun, C. K. (2002). “The Effect of Exchange Rate Volatility on Wheat Worldwide”. Long Beach, Agricultural and Applied Economics Association. Tinbergen, J. (1962). “Shaping the World Economy; Suggestions for an International Economic Policy”. New York, Twentieth Century Fund. Torres Zorrilla, J. (1999). “WTO Agreement on Agriculture: The Implementation Experience”. Lima, FAO. USAID (2006). “Financing Artichokes and Citrus: A Study of Value Chain Finance in Peru”. Wahington, DC. US Agency for International Development (USAID). 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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48719 | - |
| dc.description.abstract | Peru’s agricultural exports have shown a steady increase over the last decade, mainly fueled by increased non-traditional agricultural exports. Considering this background, the thesis explores the use of a gravity model to evaluate the determinants of export flows for ten selected agricultural commodities from Peru to its seventeen major trading partners, over a period of 15 years (1995-2009) by using panel data analysis.
The study extends the original gravity model of bilateral trade to investigate factors such as stage of economic development, consumer’s income level, exchange rate fluctuations and the impact of trade agreements on the export flows of the selected products. Estimates indicate that the size and wealth of trading partners, proxied by GDP and GNIc, does not seem to matter much for the exports of these commodities; and that distance, as a proxy of transportation costs, only matters for products with high perishable nature. The results of this study can generate insights for future research in disaggregate analysis of agricultural commodities. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T07:10:12Z (GMT). No. of bitstreams: 1 ntu-100-R98627031-1.pdf: 951281 bytes, checksum: 1be494af1fee8245aab77b23b2e11d81 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | Master Thesis Certification by Oral Defense Committee……………………………………i
Acknowledgement………………………………………………………………………ii Abstract………………………………………………………………………………………iii Table of contents…………………………………………………….....…………iv List of Figures………………………………………………………………....……viii List of Tables………………………………………………………………………………ix CHAPTER I: INTRODUCTION……………………………………………………………1 1.1: Context & Background Issues………………………………………………………1 1.2: Motivation of the Study……………………………………………………………5 1.3: Objectives of the Study………………………………………………………………5 1.3.1: General Objective………………………………………………………………5 1.3.2: Specific Objective………………………………………………………………6 1.4: Thesis Organization………………………………………………………………6 CHAPTER II: OVERVIEW OF THE PERUVIAN AGRICULTURAL SECTOR……7 2.1: Brief History of Peruvian Agriculture……………………………………………8 2.2: Agriculture in the Different Regions of Peru………………………………………9 2.2.1: Agriculture in the Coastal Region……………………………………………9 2.2.2: Agriculture in the Andean Highland Region (Sierra)…………………………11 2.2.3: Agriculture in the Amazon Basin Region (Selva)………………………………12 2.3: Agricultural Policy Review…………………………………………………………15 2.4: Economic Liberalization and Agricultural Sector…………………………………l7 2.5: Peruvian Agricultural Export Trend………………………………………………18 2.5.1: Traditional Agricultural Exports………………………………………………22 2.5.1.1: Coffee………………………………………………………………………23 2.5.2: Non-traditional Agricultural Exports……………………………………………24 2.5.2.1: Asparagus……………………………………………………………………25 2.5.2.2: Capsicum (Pepper)…………………………………………………………27 2.5.2.3: Artichokes…………………………………………………………………28 2.5.2.4: Mango………………………………………………………………………30 2.5.2.5: Grape………………………………………………………………………31 2.5.2.6: Avocado……………………………………………………………………32 2.5.2.7: Banana………………………………………………………………………33 2.5.2.8: Mandarin……………………………………………………………………34 2.5.2.9: Cocoa………………………………………………………………………35 2.6: Major Trading Partners………………………………………………………………37 2.7: Regional Trade Blocs and Preferential Tariffs………………………………………38 2.7.1: Andean Community of Nations…………………………………………………38 2.7.2: Asia-Pacific Cooperation………………………………………………………39 2.7.3: Generalized System of Preferences……………………………………………...41 CHAPTER III: LITERATURE REVIEW……………………………………………………42 3.1: Beginning of the Gravity Model……………………………………………………42 3.2: Literature on Gravity Model………………………………………………………43 3.3: Gravity Model and Selected Empirical Applications………………………………45 3.3.1: Gravity Model Estimation Procedures…………………………………………45 3.3.2: Variable Selection……………………………………………………………47 3.4: Gravity Model and Econometric Tools……………………………………………49 3.4.1: Panel Data………………………………………………………………………49 3.5: The Gravity Model Specification for Exports………………………………………50 CHAPTER IV: MODEL DERIVATION AND EMPIRICAL ANALYSIS……….………52 4.1: Development of a Commodity Specific Gravity Model……………………52 4.2: Empirical Methods for Peruvian Agricultural Exports Analysis…………………57 4.2.1: Variables…………………………………………………………………………58 4.2.2: Data………………………………………………………………………………61 CHAPTER V: RESULTS………………………………………………………………66 5.1: Model Estimation Results…………………………………………………………66 5.1.1: Coffee………………………..…………………………………………………67 5.1.2: Asparagus………………………………………………………………………69 5.1.3: Capsicum (Pepper)………………………………………………………………71 5.1.4: Artichokes………………………………………………………………………72 5.1.5: Mango……………………………………………………………………………73 5.1.6: Grapes……………………………………………………………………………74 5.1.7: Avocado…………………………………………………………………………75 5.1.8: Banana……………………………………………………………………………76 5.1.9: Mandarin…………………………………………………………………………76 5.1.10: Cocoa……………………………………………………………………………78 5.2: Limitation of the Data………………………………………………………………79 5.3: Discussion……………………………………………………………………………90 5.3.1: Distance………………………………………………………………………90 5.3.2: Economic Size vs. Crop Size…………………………………………………91 5.3.3: Bilateral Exchange Rate…………………………………………………………94 5.3.4: Trading Blocs and Generalized System Preference…………………………95 CHAPTER VI: SUMMARY AND CONCLUSIONS…………………………………………96 6.1: Peruvian Agricultural Exports Analysis……………………………………………96 6.2: The Model……………………………………………………………………………97 6.3: Direction of Future Studies……………………………………………………………99 References………………………………………………………………………………100 | |
| dc.language.iso | en | |
| dc.subject | 農業出口 | zh_TW |
| dc.subject | 秘魯 | zh_TW |
| dc.subject | Peru | en |
| dc.subject | determinants of trade | en |
| dc.subject | gravity model | en |
| dc.subject | non-traditional agricultural exports | en |
| dc.title | 影響秘魯農業出口的關鍵因素 | zh_TW |
| dc.title | Determinants of Peruvian Agricultural Exports: A Gravity Model Approach | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 詹滿色(Man-Ser Jan),李俊鴻(Chung-Hung Lee) | |
| dc.contributor.oralexamcommittee | #VALUE! | |
| dc.subject.keyword | 秘魯,農業出口, | zh_TW |
| dc.subject.keyword | Peru,non-traditional agricultural exports,gravity model,determinants of trade, | en |
| dc.relation.page | 114 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-08-19 | |
| 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 |
| 顯示於系所單位： | 農業經濟學系 | |
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