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    ์ž์›์˜ ์ €์ฃผ์˜ ์กฐ๊ฑด: ์„ํƒ„๊ณผ ์„์œ ์˜ ์‚ฐ์—… ๊ตฌ์กฐ์™€ ๋ฌด์—ญ ํŒจํ„ด์˜ ๋น„๊ต๋ฅผ ํ†ตํ•˜์—ฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๊ตญ์ œ๋Œ€ํ•™์› : ๊ตญ์ œํ•™๊ณผ(๊ตญ์ œํ˜‘๋ ฅ์ „๊ณต), 2014. 8. ์ด๊ทผ.๋ณธ ๋…ผ๋ฌธ์€ ์„œ๋กœ ๋‹ค๋ฅธ ์ข…๋ฅ˜์˜ ์ž์—ฐ์ž์›์ด ๊ตญ๊ฐ€์˜ ๊ฒฝ์ œ๋ฐœ์ „์— ์–ด๋–ค ์˜ํ–ฅ์„ ๊ฐ€์ง€๋Š”์ง€๋ฅผ ์ •์น˜๊ฒฝ์ œ์  ๊ด€์ ์—์„œ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ๊ธฐ์กด ์ž์›์˜ ์ €์ฃผ(Resource curse) ํ˜„์ƒ์— ๋Œ€ํ•œ ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์žˆ์–ด์™”์ง€๋งŒ, ์ด๋“ค์€ ์ž์›์— ๊ธฐ๋ฐ˜ํ•œ ํšจ๊ณผ์ ์ธ ๊ฒฝ์ œ๋ฐœ์ „์˜ ์‚ฌ๋ก€๋ฅผ ์„ค๋ช…ํ•˜์ง€ ๋ชปํ•˜๋Š” ์ ์—์„œ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์ž์›์˜์กด๊ตญ๊ฐ€๋“ค์˜ ๋‹ค์–‘ํ•œ ๊ฒฝ์ œ๋ฐœ์ „์˜ ์—ญํ•™๊ด€๊ณ„์™€ ๊ฒฐ๊ณผ๋ฅผ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ํ‹€์„ ๋งˆ๋ จํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ํŠนํžˆ, ๋ณธ ์—ฐ๊ตฌ๋Š” Schwartz์˜ ํ›„๊ธฐ๋ฐœ์ „๋ชจ๋ธ (Schwartzs model of late development)์— ์ฐจ์šฉ, Schwartz์˜ ์ž์›๊ธฐ๋ฐ˜ ๋ฐœ์ „๋ชจ๋ธ(Extended Schwartzs model of resource-led development)์„ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋จผ์ € ์ธ๊ฐ„ ์ƒํ™œ์˜ ํ•„์ˆ˜์  ์—๋„ˆ์ง€์›์ธ ์„ํƒ„๊ณผ ์„์œ ์˜ ๊ธฐ๋ณธ์  ํŠน์ง•์„ ์„ธ ๊ฐ€์ง€ ์ธก๋ฉด (์ง€๋ฆฌ์  ์ง‘์ค‘๋„, ์œ ๋™์„ฑ๊ณผ ์šด์†ก์ˆ˜๋‹จ, ์ž์›์ถ”์ถœ๊ณผ ์ƒ์‚ฐ์— ์š”๊ตฌ๋˜๋Š” ๊ธฐ์ˆ ๋ ฅ์˜ ์ •๋„)์—์„œ ๋น„๊ตํ•œ๋‹ค. ๋‚˜์•„๊ฐ€ ์ด๋ ‡๋“ฏ ์„œ๋กœ ๋‹ค๋ฅธ ์„ฑ๊ฒฉ์˜ ์ž์›์ด ๋‘ ๊ฐ€์ง€ ์ธก๋ฉด์—์„œ ์ž์›์˜ ์ €์ฃผ (Resource curse)์™€ ์ž์›์˜ ์ €์ฃผ์˜ ๋ถ€์žฌ(Non-existence of resource curse)๋ผ๋Š” ์ƒ๋ฐ˜๋œ ๊ฒฐ๊ณผ๋กœ ์ด์–ด์ง€๋Š” ๊ฒƒ์„ ๋ฐํžˆ๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด ๋•Œ, ๋‘ ๊ฐ€์ง€ ์—ฐ๊ฒฐ๊ณ ๋ฆฌ๋ฅผ ๊ตฌ์ฒดํ™”ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•œ๋ฐ, ๋จผ์ € ์ž์›์„ ์‚ฌ์šฉํ•œ ๊ฒฝ์ œ๋ฐœ์ „์€ ๋ฌด์—ญํŒจํ„ด๊ณผ ์‚ฐ์—…๊ตฌ์กฐ์  ์ธก๋ฉด์—์„œ ๊ตฌ๋ณ„๋œ๋‹ค. ์ด๋Ÿฌํ•œ ์ฐจ์ด๋Š” ๋‚˜์•„๊ฐ€ ๊ตญ๊ฐ€์™€ ์‚ฌํšŒ, ์™ธ๋ถ€ ์š”์†Œ ๊ฐ„ ์ƒํ˜ธ์ž‘์šฉ์—๋„ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฏธ๊ตญ๊ณผ ์‚ฌ์šฐ๋””์•„๋ผ๋น„์•„๋ฅผ ๋น„๊ต, ๊ฐ๊ฐ ์„ํƒ„๊ณผ ์„์œ ๋ฅผ ์ด์šฉํ•œ ๊ฒฝ์ œ๋ฐœ์ „ ๊ฒฝ๋กœ์˜ ๋Œ€ํ‘œ์  ์‚ฌ๋ก€๋กœ์จ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ฒฝ์ œ, ์—ญ์‚ฌ, ์ •์น˜ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์˜ ์—ฐ๊ตฌ๋ฅผ ๋น„๊ต ์—ฐ๊ตฌ์— ์ ์šฉํ•จ์œผ๋กœ์จ ์–ด๋–ป๊ฒŒ ๊ตญ๋‚ด ์ •์น˜๊ฒฝ์ œ์˜ ์—ญํ•™ ๋ฐ ๊ตญ๋‚ด์™€ ๊ตญ์ œ ์ •์น˜๊ฒฝ์ œ์˜ ์ƒํ˜ธ ๊ด€๊ณ„๊ฐ€ ํ•œ ๊ตญ๊ฐ€์˜ ๊ฒฝ์ œ๋ฐœ์ „ ๊ฒฝ๋กœ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์„ค๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ณผ์ •์„ ํ†ตํ•ด ๋ณธ ๋…ผ๋ฌธ์€ ๊ธฐ์กด ์ž์› ์—ฐ๊ตฌ์™€ ์ฐจ๋ณ„๋˜๋Š” ์ƒˆ๋กœ์šด ์ •์น˜๊ฒฝ์ œ์  ๋ถ„์„ํ‹€์„ ์ œ๊ณตํ•˜๊ณ , ์ž์›๊ธฐ๋ฐ˜ ๊ฒฝ์ œ๋ฐœ์ „์˜ ๋‹ค์–‘ํ•œ ๊ณผ์ •์„ ์ฒด๊ณ„์ ์œผ๋กœ ๋ถ„์„ํ•˜๋Š” ๋ฐ ๊ธฐ์—ฌํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค.The primary concern of the thesis is to identify heterogeneous impacts of different types of natural resources on economic development of countries. Although there have been extensive researches conducted on the phenomenon of resource curse, it is shown that they remain incomplete in failing to explain cases of resource-led economic developments found in historical perspective. Acknowledging this shortcoming, this research proposes the extended Schwartzs model of resource-led development on the basis of Schwartzs model of late development, as a new framework to understand divergent outcomes of economic development between resource-dependent countries. First of all, this new extended model is applied to compare different characteristics of coal and oil, in terms of the geographic concentration, fluidity and means of transport, and the level of technology. Second, in more detail, it proceeds to examine two linkages connecting these distinctive characteristics of natural resources and their lead up to different consequences between existence and absence of resource curse. Here, two linkages are sequential in that the first linkage of how different types of natural resources result in distinctive trade patterns and industrial structure is what influences the second linkage of interactions between state and society vis-ร -vis external factors of influence. Here, two case analyses cover the case of the U.S. with its reliance on large coal reserves and production in comparison with the case of Saudi Arabia with its role as a powerful oil producer. Moreover, by incorporating different principles such as economy, history, and politics altogether in comparative perspective, this research highlights the importance of domestic politics where many different motives and interests of domestic actors are in constant contest as well as its relations to external sources of influence. By distinguishing coal and oil and in particular by drawing a new political economy framework into the analysis, this research departs from conventional takes on resource curse, better situated to capture the comprehensive picture of the varying courses of resource-led economic development.Acknowledgements Abstract Table of Contents List of Tables List of Figures I. Introduction 1 II. Review on Previous Studies 3 2.1. Resource Curse 3 2.2. Resource Blessing 12 2.3. Theoretical approaches to economic development 15 2.3.1. Comparative Advantages and Trade 17 2.3.2. Industrialisation and late development 20 2.4. Types of natural resources 24 2.5. Research Question 26 2.5.1. Shortcomings of previous studies 26 2.5.2. Research Question 27 III. Analytical Framework 29 3.1. Schwartzs Model of Late Development 29 3.2. Extended Schwartzs model of resource-led development 36 3.3. Proposition 43 3.4. Methodology 46 IV. Analysis I- Coal and the U.S. 49 4.1. Overview 49 4.2. Basic characteristics of coal 52 4.3. Trade patterns and Industrial structure 57 4.4. Extended Schwartzs model of resource-led development 61 V. Analysis II- Oil and Saudi Arabia 68 5.1. Overview 68 5.2. Basic characteristics of oil 5.3. Trade patterns and industrial structure 73 5.4. Extended Schwartzs model of resource-led development 77 VI. Conclusion 85 References Appendix I - Coal Production in the Leading Coal-Producing Countries of the World Appendix II - GDP by Industry (U.S.) Appendix III - GDP by Industry (Saudi Arabia) Abstract (Korean)Maste

    ๋‚˜๋…ธ ์‚ฐํ™”ํ‹ฐํƒ€๋Š„๊ณผ ๋‚˜๋…ธ ์‚ฐํ™”์•„์—ฐ์ด ํ† ๋งˆํ† ์™€ ๊ฐ•๋‚ญ์ฝฉ์˜ ์ƒ์žฅ๊ณผ ํ•ญ์‚ฐํ™” ๋ฐ˜์‘์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ƒ๋ช…๊ณผํ•™๋ถ€, 2012. 8. ์ด์€์ฃผ.Abstract Although representative environmental pollution research institutions, the USEPA (US Environmental Protection Agency) and the OECD (Organization for Economic Cooperation and Development), have been doing research in many fields, research concerning the effects of nanoparticles on plants is still rare. In this study, I studied the effects of nanoparticles nano-TiO2, nano-ZnO on the tomato (Lycopersicon esculentum) and kidney bean (Phaseolus vulgaris) plants. The effects of two types of nanoparticles (nano-TiO2, nano-ZnO) on seed germination and root growth of two higher plant species, the tomato (Lycopersicon esculentum) and kidney bean (Phaseolus vulgaris) plants were investigated. The concentration range of the nanoparticles spanned from 0 to 5000 mg/L. In order to account for agglomeration and precipitation, a filter paper in a petri dish with distilled water (DW) was used. At all concentration levels, both nano-TiO2 and nano-ZnO did not significantly affect the seed germination of the tomato (Lycopersicon esculentum) and kidney bean (Phaseolus vulgaris) plants. However, significant inhibition of root length appeared in the treatment of nano-ZnO on the tomato (Lycopersicon esculentum) plant except at the highest concentration level of nano-ZnO. The same nanoparticle, nano-ZnO, significantly hampered the root length of the kidney bean (Phaseolus vulgaris) plant at high concentration levels (1000, 2500 and 5000 mg/L). The plant seedsโ€™ uptake of the nanoparticles was also analyzed. In regard to nano-TiO2, after an exposure of 48 hours (mg/kg), it was observed that when the concentration of nano-TiO2 on the tomato (Lycopersicon esculentum) seeds increased, the uptake of nano-TiO2 by the tomato (Lycopersicon esculentum) seeds increased in a linear relationship although it was not significantly different. In addition, the kidney bean (Phaseolus vulgaris) seeds, at 100 mg/L, nano-TiO2 was not detected and at other higher nano-TiO2 concentrations it was detected. In the uptake analysis of nano-ZnO by the kidney bean (Phaseolus vulgaris) seeds, after an exposure of 48 hours (mg/kg), kidney bean (Phaseolus vulgaris) seeds also showed a significantly increased nano-ZnO uptake when the concentration of nano-ZnO on kidney bean (Phaseolus vulgaris) seeds increased. In addition to seeds, nanoparticle uptake by the tomato (Lycopersicon esculentum) and kidney bean (Phaseolus vulgaris) seedlings after an exposure of 15 days (mg/kg) was also measured. Although the tomato (Lycopersicon esculentum) seedlings didnโ€™t show significant differences with concentration levels of nano-TiO2, the kidney bean (Phaseolus vulgaris) seedlings showed significantly increased nano-TiO2 uptake at the highest concentration level (5000 mg/L). In nano-ZnO uptake by the tomato (Lycopersicon esculentum) and kidney bean (Phaseolus vulgaris) seedlings, after an exposure of 15 days (mg/kg), tomato (Lycopersicon esculentum) seedlings showed significantly increased nano-ZnO uptake at the highest level (5000 mg/L) and in the case of the kidney bean (Phaseolus vulgaris) seedlings, the uptake of nano-ZnO significantly increased with increased concentration levels. To determine the size of the nano-TiO2 and nano-ZnO in solution, after 14 days the hydrodynamic diameter of the nano-TiO2 and nano-ZnO uptake in a petri dish was measured. A FE-SEM (Field Emission Scanning Electron Microscope) was used to measure the diameter. For solutions which showed a particle diameter over 1000 nm, an Axio Zeiss Imager A1 with a differential interference contrast (DIC) microscope was used. In the case of nano-TiO2, the particleโ€™s hydrodynamic diameter at the highest concentration significantly showed the largest diameter. In the case of nano-ZnO, the hydrodynamic diameter of nano-ZnO significantly increased with increased concentration levels. Also, after 7 days in a petri dish, according to the hydrodynamic diameter of the nano-TiO2 uptake, the hydrodynamic diameter of nano-TiO2 at the highest nano-TiO2 concentration significantly showed the largest diameter. Mature tomato (Lycopersicon esculentum) plants only showed the significant difference by nano-TiO2 at the highest Superoxide dismutase activity (SOD) in the highest (1000 mg/L) treatment. Also, mature tomato (Lycopersicon esculentum) plants and mature kidney bean (Phaseolus vulgaris) plants showed no significant differences by concentration levels of nano-ZnO. The chlorophyll contents of mature tomato (Lycopersicon esculentum) plants after either nano-TiO2 or nano-ZnO exposure of 7 days (mg/L) showed no significant differences with different concentrations of nanoparticles (nano-TiO2, nano-ZnO). And chlorophyll contents of mature kidney bean (Phaseolus vulgaris) plants after a nano-ZnO exposure of 7 days (mg/L) also showed no significant differences with different concentrations of nanoparticles (nano-TiO2, nano-ZnO). After an exposure of 5 weeks (mg/L), nano-TiO2 uptake by the mature tomato (Lycopersicon esculentum) plants was measured dividing plant parts by root, stem, leaf and fruit. At the root, leaf, fruit parts, there were no significant differences with different nano-TiO2 concentration levels. However, at the stem part, when nano-TiO2 concentration levels increased, the nano-TiO2 uptake of the mature tomato (Lycopersicon esculentum) plants decreased inversely. Also, after an exposure of 5 weeks (mg/L), the nano-ZnO uptake of the mature tomato (Lycopersicon esculentum) and kidney bean (Phaseolus vulgaris) plants was measured and only the mature tomato (Lycopersicon esculentum) plants showed significant differences. When the concentration of nano-ZnO increased, the uptake of nano-ZnO by the mature tomato (Lycopersicon esculentum) plants also increased. To confirm the results of the hydrodynamic diameter of the nano-TiO2 and nano-ZnO uptake, Pchem (Physical chemistry) datas (hydrodynamic diameter and zeta potential) were measured by ELS. In the case of nano-TiO2 in DW, when the concentration of nano-TiO2 increased, the hydrodynamic diameter of nano-TiO2 decreased. Nano-TiO2 in a Hoagland solution showed an increased hydrodynamic diameter of nano-TiO2 when the concentration of nano-TiO2 increased. Then, we also measured the hydrodynamic diameter of nano-ZnO in DW. When the concentration level of nano-ZnO increased, the hydrodynamic diameter of nano-ZnO decreased. Key words: nano-TiO2 , nano-ZnO, Lycopersicon esculentum, Phaseolus vulgaris, antioxidant enzyme activities, PchemList of Contents Abstract........................................................................................................................... โ…ฐ List of Contents............................................................................................................... โ…ณ List of Figures................................................................................................................. โ…ต List of Tables.................................................................................................................. โ…ถ โ… . Introduction.................................................................................................................. 1 โ…ก. Method......................................................................................................................... 4 2.1. Preparation of Particles and Cultures.................................................................. 4 2.1.1. Germination Research...................................................................................... 4 2.1.2. Root Elongation Research................................................................................ 7 2.1.3. Pot Research..................................................................................................... 7 2.2. Analyzing methods................................................................................................ 9 2.2.1. Measurement of Antioxidant enzyme activity................................................. 9 2.2.2. Measurement of Chlorophyll contents ......................................................... 10 2.2.3. ICP analysis.................................................................................................... 10 2.2.4. FE-SEM and Image J analysis....................................................................... 11 2.2.5. Pchem analysis............................................................................................... 11 2.3. Statistical analyses............................................................................................. 11 โ…ข. Results............................................................................................................... 12 3.1. Seed germination rate of nano-TiO2 and nano-ZnO treated tomato (L. esculentum) and kidney bean (P. vulgaris)....................................................... 12 3.2.1. nano-TiO2 and nano-ZnO uptake by tomato (L. esculentum) and kidney bean (P. vulgaris) seeds........................................................................................... 15 3.2.2. Effect of nano-ZnO on the increase rate of kidney bean (P. vulgaris)โ€™s seed biomass .......................................................................................................... 19 3.3. Root elongation rate of nano-TiO2 and nano-ZnO treated tomato (L. esculentum) and kidney bean (P. vulgaris)...................................................... 21 3.4.1. nano-TiO2 and nano-ZnO uptake by tomato (L. esculentum) and kidney bean (P. vulgaris) seedlings................................................................................... 24 3.4.2. Effect of nano-TiO2 on the seedling biomass of tomato (L. esculentum).... 26 3.5. Hydrodynamic diameter of nano-TiO2 and nano-ZnO uptake in a petri dish. 28 3.6. Chlorophyll contents of mature tomato (L. esculentum) and kidney bean (P. vulgaris) after nano-TiO2 and nano-ZnO exposure of 7 days (mg/L)............. 31 3.7. Antioxidant enzyme activity of tomato (L. esculentum) and kidney bean (P. vulgaris) by nano-TiO2 and nano-ZnO.............................................................. 33 3.7.1. Total antioxidant capacity (TAC)............................................................... 33 3.7.2. Superoxide dismutase activity (SOD)........................................................ 35 3.8.1. nano-TiO2 and nano-ZnO uptake by mature tomato (L. esculentum) and mature kidney bean (P. vulgaris).................................................................... 37 3.8.2. Effect of nano-ZnO on the height of mature kidney bean (P. vulgaris)... 39 3.9. Pchem results of nano-TiO2 and nano-ZnO................................................. 41 3.9.1. Pchem results (Hydrodynamic diameter) of A) nano-TiO2 in DW and B) nano- TiO2 in Hoagland solution............................................................ 41 3.9.2. Pchem results of A) nano-ZnO (Hydrodynamic diameter) in DW and B) nano-ZnO (Zeta Potential) in DW............................................................. 43 โ…ฃ. Discussion............................................................................................................... 45 โ…ค. References.............................................................................................................. 50Maste
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