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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/123456789/2441
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dc.contributor.advisor黃芳玫(Fung-Mey Huang)
dc.contributor.authorEliseo Arauz Quirozen
dc.contributor.author勞亦理zh_TW
dc.date.accessioned2021-05-13T06:40:15Z-
dc.date.available2017-08-25
dc.date.available2021-05-13T06:40:15Z-
dc.date.copyright2017-08-25
dc.date.issued2017
dc.date.submitted2017-07-26
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Battese, G. and Broca, S. (1997). Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan, Journal of Productivity Analysis, 8, 395–414.
Battese, G. and Coelli, T. (1995). A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Empirical Economics, 20, 325-332.
Bravo-Ortega, C. and D. Lederman. (2004). Agricultural Productivity and Its Determinants: Revisiting International Experiences. Estudios de Economía, 31(2), 133-163.
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Coelli, T. and Rao, D. (2005). Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980-2000. Agricultural Economics, 32:s1, 115-34.
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Dias, A., Romano, L., and Garagorry, F. (2010). Agricultural Productivity in Latin America and the Caribbean and Sources of Growth. Handbook of Agricultural Economics, Burlington: Academic Press, pp 3713-3768. ISBN: 978-0-444-51874-3.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/2441-
dc.description.abstractThe purpose of this study is to identify the main sources of agricultural growth for Central America (C.A.) between 1979 and 2014 using data for six countries of the region. Two analytical methods are used. The first method is data envelope analysis (DEA), which is a non-parametric estimation. The second one applies a parametric function by using stochastic frontier analysis (SFA) which also includes “exogenous variables”. The results from DEA indicate that agricultural growth in countries of C.A. is driven by technical change (TC) rather than efficiency change (EC). The results from SFA suggest that just upper-middle income (UM) economies are driven by TC (or frontier shift) while lower-middle income (LM) economies in C.A. are mostly driven by EC (or catch-up). The empirical results from the exogenous variables also suggest that the more the use of irrigation, human capital, and specialization of crops, the more efficient a country’s agricultural sector becomes.en
dc.description.provenanceMade available in DSpace on 2021-05-13T06:40:15Z (GMT). No. of bitstreams: 1
ntu-106-R04627035-1.pdf: 1503531 bytes, checksum: 90d1054e4da1e3e189559256091fe940 (MD5)
Previous issue date: 2017
en
dc.description.tableofcontentsAbstract i
Dedication ii
Acknowledgement iii
Chapter 1 Introduction 1
1.1 Introduction and motivation 1
1.2 Objectives of this study 4
Chapter 2. Overview of Central America Agriculture 5
2.1 Economies 5
Chapter 3. Literature Review 10
Chapter 4. Data and Methodology 12
4.1 Data Envelope Analysis (DEA) 13
4.1.1 Malmquist productivity equation 15
4.1.2 Decomposition of the Malmquist index 16
4.2 Stochastic Frontier Analysis (SFA) 18
4.2.1 Stochastic Frontier Model 19
4.2.2 Empirical Stochastic Frontier Model 23
4.2.3 Elasticities 24
4.3 Data Sources and Variables 24
4.3.1 Output 25
4.3.2 Inputs 26
4.3.3 Exogenous Variables 31
Chapter 5. Results and Discussion 36
5.1 Data Envelopment Analysis (DEA) 36
5.1.1 TFP and its components 36
5.1.2 Country Analysis of TFP and its components 42
5.2 Stochastic Frontier Analysis (SFA) 48
5.2.1 Parametric model 48
5.2.2 Elasticity Estimation 50
5.2.3 Hypothesis Test 52
5.2.4 TFP and its component 53
5.2.5 Country Analysis of TFP and its components 57
5.2.6 Efficiency Effect 59
Chapter 6. Conclusion 61
6.1 Study Approach 61
6.2 The Results 61
6.2.1 Exogenous variables 63
6.3 Policy implication 64
6.4 Further research 65
References 66
Appendix 69
dc.language.isoen
dc.subjectDEAen
dc.subjectProductivityen
dc.subjectEfficiencyen
dc.subjectAgricultureen
dc.subjectCentral Americaen
dc.subjectSFAen
dc.title中美洲農業部門效率與生產力變化zh_TW
dc.titleA Study of Efficiency and Productivity Change
for Agricultural Sector in Central America
en
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree碩士
dc.contributor.oralexamcommittee徐世勳(Shih-Hsun Hsu),傅祖壇(Tsu-Tan Fu)
dc.subject.keywordAgriculture,Efficiency,Productivity,DEA,SFA,Central America,en
dc.relation.page74
dc.identifier.doi10.6342/NTU201700916
dc.rights.note同意授權(全球公開)
dc.date.accepted2017-07-26
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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