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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 劉鋼 | zh_TW |
dc.contributor.advisor | Kang Ernest Liu | en |
dc.contributor.author | Mauricio Andrés Molina Moreno | zh_TW |
dc.contributor.author | Mauricio Andrés Molina Moreno | en |
dc.date.accessioned | 2024-07-23T16:18:35Z | - |
dc.date.available | 2024-07-24 | - |
dc.date.copyright | 2024-07-23 | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-07-19 | - |
dc.identifier.citation | Adetutu, M. O., & Ajayi, V. (2020). The Impact of Domestic and Foreign R&D on Agricultural Productivity in Sub-Saharan Africa. World Development, 125.
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In Agricultural R&D in the Developing World: Too Little, Too Late?. 283-311. Causa, O., Luu, N., & Abendschein, M. (2021). Labour market transitions across OECD countries: Stylised facts (OECD Economics Department Working Papers No. 1692). OECD Publishing. Coelli, T. J., & Rao, D. S. P. (2005). Total Factor Productivity Growth in Agriculture: A Malmquist Index Analysis of 93 Countries, 1980–2000. Agricultural Economics, 32(s1), 115-134. Dieppe, A., Kawamoto, A., Okawa, Y., Okou, C., & Temple, J. (2021). What Explains Productivity Growth. In Global Productivity: Trends, Drivers, and Policies. World Bank Publications. Djokoto, J. O. (2012). Technical Efficiency of Agriculture in Ghana: A Time Series Stochastic Frontier Estimation Approach. Journal of Agricultural Science, Vol 4(1): 154-163. FAO (Food and Agriculture Organization of the United Nations). (2024) Food and Agriculture Data. Food and Agriculture Organization of the United Nations. Database. 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Cropland/pastureland dynamics and the slowdown of deforestation in Latin America. Environmental Research Letters 10, 034017. Griliches, Z. (1958). Research Costs and Social Returns: Hybrid Corn and Related Innovations. Journal of Political Economy, 66(5), 419-431. Headey, D., Alauddin, M., & Rao, D. S. P. (2010). Explaining Agricultural Productivity Growth: An International Perspective. Agricultural Economics, 41(1), 1-14. IMF (International Monetary Fund). (2023). Report: Export Diversification in Colombia: A Way Forward and Implications for Energy Transition. Jiménez, M. I., Abbott, P., & Foster, K. (2018). Measurement and Analysis of Agricultural Productivity in Colombia. Ecos de Economía, 4-37. Junguito, R., Perfetti, J. J., & Becerra, A. (2014). Desarrollo De La Agricultura Colombiana. Cuadernos de Fedesarrollo, 48. Klacek, J., Vošvrda, M., & Schlosser, Š. (2007). KLE Translog Production Function and Total Factor Productivity. Statistika, 87(4), 261-274. 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D., & Rendleman, C. M. (2021). The Role of Research and Development in Shaping Agricultural Labor and Land Productivity in Colombia: 1981-2016. Tilman, D., Balzer, C., Hill, J., & Befort, B. L. (2011). Global Food Demand and the Sustainable Intensification of Agriculture. Proceedings of the National Academy of Sciences, 108(50), 20260-20264. Trueblood, M. A., & Coggins, J. (2003). Intercountry Agricultural Efficiency and Productivity: A Malmquist Index Approach. Manuscript. Usman, M., Hameed, G., Saboor, A., Almas, L. K., & Hanif, M. (2021). R&D Innovation Adoption, Climatic Sensitivity, and Absorptive Ability Contribution for Agriculture TFP Growth in Pakistan. Agriculture, 11, 1206. Vargas, J. F. (2003). Conflicto interno y crecimiento económico en Colombia (Master's thesis). Universidad de los Andes, Bogotá, Colombia. Wang, S., Plastina, A., Fulginiti, L. E., & Ball, E. (2017). Benefits of Public R&D in US Agriculture: Spill-Ins, Extension, and Roads. Theoretical Economics Letters, 7, 1873-1898. Wheeler, T., & Von Braun, J. (2013). Climate Change Impacts on Global Food Security. Science, 508–513. World Bank. (2020). R&D expenditure. Database. Retrieved 13/03/2024 from https://databank.worldbank.org/ World Bank. (2022). Climate Change Knowledge Portal for Development Practitioners and Policy Makers: Climate indicators. Retrieved 01/04/2024 from https://climateknowledgeportal.worldbank.org/country/colombia/climate-data-historical | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93210 | - |
dc.description.abstract | none | zh_TW |
dc.description.abstract | This thesis examines how R&D investments influence Colombia's agricultural TFP growth between 1981 and 2021. Despite global improvements in TFP contributing significantly to agricultural growth, Colombia's productivity index lags behind Latin American and global averages. The study highlights the fluctuating and often inadequate investment in agricultural R&D in Colombia, underscoring its importance for sustainable growth.
Employing an ARDL model, the research examines the long- and short-term effects that R&D expenditure has on TFP. Additionally, the research explores the influence of auxiliary variables such as irrigation, machinery, and fertilizers. Data sourced from the FAO, the World Bank, and ASTI forms the basis of this analysis. The study finds a positive relationship between R&D expenditure and TFP growth, validating hypotheses that increased R&D expenditure significantly enhances agricultural productivity and technological adoption benefits agricultural TFP. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-07-23T16:18:35Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2024-07-23T16:18:35Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | Oral Examinations Board Certification i
Dedication ii Acknowledgment iii Abstract iv Table of Contents v List of Figures vii List of Tables viii 1. Introduction 1 1.1. Background and Context 1 1.2. Relevance and Importance of the Research 5 2. Literature Review 7 2.1. Overview of the Total Factor Productivity 7 2.2. Overview of Agricultural Productivity and R&D Expenditure 10 2.3. Statistical Approaches to Studying TFP and its Determinants 11 2.4. Agricultural Research & Development in Colombia 12 3. Data 14 4. Methodology 22 4.1. Measuring the Total Factor Productivity 22 4.2. Solow Residual Model for Multiple Variables 23 4.3. Autoregressive Distributed Lag Approach 24 5. Results and Discussion 27 5.1. Agricultural Total Factor Productivity 27 5.2. Analysis of R&D Impact on TFP Growth in Colombian Agriculture 29 5.3. Discussion on the Long-run Results of the ARDL models. 38 5.4. Discussion on the Short-run Results of the ARDL models 39 6. Conclusions 42 References 45 | - |
dc.language.iso | en | - |
dc.title | 研發支出及其在提高哥倫比亞農業全要素生產力的實證 | zh_TW |
dc.title | Empirical Analysis of R&D Expenditure and Its Role in Enhancing Total Factor Productivity in Colombian Agriculture | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-2 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 孫佳宏;陳淑玲 | zh_TW |
dc.contributor.oralexamcommittee | Chia-Hung Sun;Shu-Ling Chen | en |
dc.subject.keyword | 總要素生產率,哥倫比亞農業,研究與發展,ARDL方法, | zh_TW |
dc.subject.keyword | Total Factor Productivity,Colombian Agriculture,Research and Development,ARDL Approach, | en |
dc.relation.page | 50 | - |
dc.identifier.doi | 10.6342/NTU202401277 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2024-07-19 | - |
dc.contributor.author-college | 生物資源暨農學院 | - |
dc.contributor.author-dept | 農業經濟學系 | - |
顯示於系所單位: | 農業經濟學系 |
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