인터넷 금융이 중국 상업은행의 수익성에 미치는 영향에 관한 연구

학위논문 (석사) -- 서울대학교 대학원 : 국제대학원 국제학과(국제통상전공), 2020. 8. Ahn, Jaebin.Driven by the interest rate liberalization in China, the profit from interest income will certainly be unsustainable, commercial banks will be facing severe profit dilemma. The Internet financial platform such as Alipay and Caifutong have been changing the traditional financial ecosystem dominated by traditional commercial banks for several years. Firstly, the current situation of Internet Finance and commercial banks in China will be analyzed, then discussion of influence mechanism of three major Internet Financial models about the profitability of commercial banks from the perspective of net interest income & non-interest income will be followed. Then, the proportion of net interest income on interest bearing assets and the proportion of non-interest income on total assets are selected as the dependent variables, respectively, and the scale of Internet monetary fund, P2P Internet lending, and third-party payment are selected as three main independent variables, this thesis does an empirical test on the basis of the data from 2013-2018 of 30 listed commercial banks in China. Empirical evidence shows that Internet monetary fund, P2P internet lending and third-party payment all negatively and significantly affect the net interest income of commercial banks. Third-party payment acts a positive and significant role in non- interest income of commercial banks, while Internet monetary fund and P2P internet lending have a positive but insignificant influence. From the perspective of bank ownership, Internet monetary fund, P2P Internet lending and third-party payment hurt more on the joint-equity banks than the state-owned banks when it comes to the net interest income, while Internet monetary fund, P2P interest lending and third- party payment contribute positively on joint-equity banks, but damage on the state- owned banks when it comes to non-interest income. Finally, this paper analyzes the influence results of the three Internet financial models on different profit sources and different types of commercial banks, puts forward the recommendations for commercial banks to manage the challenges and opportunity from Internet Finance.중국의 금리 자유화로 인해 상업 은행의 이자 수입 이익은 더 이상 지속할 수 없게 될 것이 분명하며, 이에 상업 은행들은 심각한 이윤창출의 딜레마에 빠지게 될 것이다. 알리페이와 차이푸퉁을 대표로 하는 인터넷 금융 플랫폼은 수년 동안 상업 은행에 의해 지배되던 전통적인 금융 생태계를 변화시켰다. 우선, 본 연구에서는 중국의 인터넷금융과 상업 은행의 현황에 대해 분석을 수행하고, 3 대 인터넷금융 모델이 상업 은행의 수익성에 미치는 영향 메커니즘을 순이자이익과 비이자이익의 관점에 입각하여 살펴보도록 한다. 그다음증식자산에서의 순이자이익 비율과 총자산에서의 비이자이익 비율을 각각 종속변수로 설정하고, 인터넷 통화기금, P2P 인터넷 대차, 제 3 자 결제 규모 등을 3 대 독립변수로 설정하였다. 본 연구에서는 중국에서 상장한 30 개 상업 은행의 2013~2018 년 자료를 기반으로 경험적 타당성 분석을 수행하였다. 경험적 타당성 분석에서 인터넷 통화기금, P2P 인터넷 대차, 제 3 자 결제는 은행의 순이자이익에 부정적이고 현저한 영향을 미치는 것으로 나타났다. 이 중 제 3 자 결제가 상업 은행의 비이자이익에 긍정적이고 현저한 역할을 미치는 반면, 인터넷 통화기금과 P2P 인터넷 대차는 긍정적이지만 미미한 영향을 미치는 것으로 나타났다. 은행 소유권에 입각하여 인터넷 통화기금, P2P 인터넷 대차, 제 3 자 결제는 이자수익 측면에 있어 지분제 상업은행 국유은행보다 지분제 상업은행에 더 많이 손해를 끼치고 있는 것으로 나타났다. 비이자면에서 인터넷 통화기금, P2P 인터넷 대차, 제 3 자 결제는 지분제 상업은행에 긍정적인 영향을 주지만, 국유 은행에 피해를 주는 것으로 나타났다. 마지막으로 본 연구에서는 3 대 인터넷 금융 모델이 서로 다른 수익원과 유형의 상업 은행에 미치는 영향에 대해 분석을 수행하였고 상업 은행들에서 인터넷 금융의 도전에 대처하기 위한 대응책과 제안을 제시하였다.I. INTRODUCTION 0 1. DEFINITION OF INTERNET FINANCE 0 2. BACKGROUND 2 II. LITERATURE REVIEW 8 III. MECHANISM ANALYSIS 10 1. INTERNET MONETARY FUND 10 1-1. The development of Internet monetary fund 10 1-2. Influence mechanism analysis 10 2. P2P INTERNET LENDING 12 2-1. The development of P2P Internet lending 12 2-2. Influence mechanism analysis 13 3. THIRD-PARTY PAYMENT 15 3-1. The development of third-party payment 15 3-2. Influence mechanism analysis 17 IV. METHODOLOGY 20 1. HYPOTHESIS 20 2. DATA SELECTION 20 2-1. Dependent Variables 21 2-2. Explanatory variables 21 3. DATA DESCRIPTION 24 4. ANALYTICAL METHOD 28 V. RESULTS AND DISCUSSIONS 31 1. RESULTS 31 1-1. NIM & NIIR 31 1-2. NIM & NIIR in different bank groups 33 2. DISCUSSIONS 38 2-1. NIM & NIIR 38 2-2. NIM & NIIR in different bank groups 40 VI. CONCLUSION AND IMPLICATION 42 1. CONCLUSION 42 2. IMPLICATION 43 VII. LIMITATIONS 44 REFERENCES 45 APPENDIX 1 49 국문초록 53Maste

Domain Adaptive Person Search via GAN-based Scene Synthesis for Cross-scene Videos

Person search has recently been a challenging task in the computer vision domain, which aims to search specific pedestrians from real cameras.Nevertheless, most surveillance videos comprise only a handful of images of each pedestrian, which often feature identical backgrounds and clothing. Hence, it is difficult to learn more discriminative features for person search in real scenes. To tackle this challenge, we draw on Generative Adversarial Networks (GAN) to synthesize data from surveillance videos. GAN has thrived in computer vision problems because it produces high-quality images efficiently. We merely alter the popular Fast R-CNN model, which is capable of processing videos and yielding accurate detection outcomes. In order to appropriately relieve the pressure brought by the two-stage model, we design an Assisted-Identity Query Module (AIDQ) to provide positive images for the behind part. Besides, the proposed novel GAN-based Scene Synthesis model that can synthesize high-quality cross-id person images for person search tasks. In order to facilitate the feature learning of the GAN-based Scene Synthesis model, we adopt an online learning strategy that collaboratively learns the synthesized images and original images. Extensive experiments on two widely used person search benchmarks, CUHK-SYSU and PRW, have shown that our method has achieved great performance, and the extensive ablation study further justifies our GAN-synthetic data can effectively increase the variability of the datasets and be more realistic

Knowledge and attitudes of healthcare workers in Chinese intensive care units regarding 2009 H1N1 influenza pandemic

<p>Abstract</p> <p>Background</p> <p>To describe the knowledge and attitudes of critical care clinicians during the 2009 H1N1 influenza pandemic.</p> <p>Methods</p> <p>A survey conducted in 21 intensive care units in 17 provinces in China.</p> <p>Results</p> <p>Out of 733 questionnaires distributed, 695 were completed. Three hundred and fifty-six respondents (51.2%) reported their experience of caring for H1N1 patients. Despite the fact that 88.5% of all respondents ultimately finished an H1N1 training program, only 41.9% admitted that they had the knowledge of 2009 H1N1 influenza. A total of 572 respondents (82.3%) expressed willingness to care for H1N1 patients. Independent variables associated with increasing likelihood to care for patients in the logistic regression analysis were physicians or nurses rather than other professionals (odds ratio 4.056 and 3.235, p = 0.002 and 0.007, respectively), knowledge training prior to patient care (odds ratio 1.531, p = 0.044), and the confidence to know how to protect themselves and their patients (odds ratio 2.109, p = 0.001).</p> <p>Conclusion</p> <p>Critical care clinicians reported poor knowledge of H1N1 influenza, even though most finished a relevant knowledge training program. Implementation of appropriate education program might improve compliance to infection control measures, and willingness to work in a pandemic.</p

Effect of storage time on the silage quality and microbial community of mixed maize and faba bean in the Qinghai-Tibet Plateau

Tibetan Plateau is facing serious shortage of forage in winter and spring season due to its special geographical location. Utilization of forages is useful to alleviate the forage shortage in winter and spring season. Consequently, the current study was aimed to evaluate the influence of storage time on the silage quality and microbial community of the maize (Zea mays L.) and faba bean (Vicia faba L.) mixed silage at Qinghai-Tibet Plateau. Maize and faba bean were ensiled with a fresh weight ratio of 7:3, followed by 30, 60, 90, and 120 days of ensiling. The results showed the pH value of mixed silage was below 4.2 at all fermentation days. The LA (lactic acid) content slightly fluctuated with the extension of fermentation time, with 33.76 g/kg DM at 90 days of ensiling. The AA (acetic acid) and NH3-N/TN (ammonium nitrogen/total nitrogen) contents increased with the extension of fermentation time and no significantly different between 90 and 120 days. The CP (crude protein) and WSC (water soluble carbohydrate) contents of mixed silage decreased significantly (P &lt; 0.05) with ensiling time, but the WSC content remained stable at 90 days. The Proteobacteria was the predominant phyla in fresh maize and faba bean, and Pseudomonas and Sphingomonas were the predominant genera. After ensiling, Lactobacillus was the prevalent genus at all ensiling days. The relative abundance of Lactococcus increased rapidly at 90 days of ensiling until 120 days of fermentation. Overall, the storage time significant influenced the silage fermentation quality, nutrient content, and microbial environment, and it remained stable for 90 days of ensiling at Qinghai-Tibet Plateau. Therefore, the recommended storage time of forage is 90 days in Qinghai-Tibet Plateau and other cool areas

Quantitative prediction of fluvial sandbodies by combining seismic attributes of neighboring zones

The geological and geophysical characterization of hydrocarbon-bearing sandstones of fluvial origin is a challenging task. Channel sandbodies occurring at different stratigraphic levels (i.e., in a reservoir interval of interest as well as in overlying and underlying stratigraphic intervals) but overlapping in planview usually cause significant seismic interference due to limitations in seismic resolution: this can produce significant error in the prediction of sand location and thickness using seismic attributes. To mitigate the effect of seismic interferences by zones neighboring a target reservoir interval, a new method is proposed that combines multiple seismic attributes of the target interval and of its interfering neighboring zones, implemented by a supervised machine learning algorithm using support vector regression (SVR). Since the thickness of neighboring intervals causing seismic interference has a constant value of a quarter of a wavelength (1/4 λ), the stratal slice corresponding with the top horizon of the target interval is taken as the base of a window of 1/4 λ to calculate seismic attributes for the overlying zone; similarly, the stratal slice corresponding with the bottom horizon is taken as the top of a window of 1/4 λ to calculate seismic attributes for the underlying zone. The proposed method was applied to a subsurface dataset (including a 3D seismic dataset and 255 wells) of the Chengdao oilfield, in the Bohai Bay Basin (China). The interval of interest is located in the Neogene Guantao Formation, whose successions are interpreted as fluvial in origin. This application demonstrates how the proposed method results in remarkably improved sandstone thickness prediction, and how consideration of multiple attributes further improves the accuracy of predicted values of sandstone thickness

Fracture filling mechanisms in the carbonate buried-hill of Futai Oilfield in Bohai Bay Basin, East China

Genesis and distribution of fracture fillings of the Cambrian-Ordovician carbonate buried-hill in Futai Oilfield of Bohai Bay Basin were investigated based on observation of core samples and thin sections, analysis of inclusions in fracture fillings, stable isotopic compositions of carbon and oxygen as well as trace element compositions in the fillings and surrounding rocks. There are many kinds of fractures developed in Futai buried-hill structure. Generally, the fracture spaces are filled over 60% by calcite, mostly sparry calcite and formed once time in the fractures. The homogenization temperatures of inclusions in calcite fillings in the fractures are higher than those in the buried-hill reservoirs. Oil-bearing fluid inclusions were found in the calcite fillings in the fractures, which means that the fracture filling is at the same time as oil-pool formation. Analysis of compositions of stable carbon and oxygen isotopes and rare earth elements showed that calcite mother fluids (including oil-pool forming fluid) were hydrothermal fluids coming from deep strata in the basin, and the hydrothermal fluids dissolved the limestone and dolomite and then deposited calcite in the fracture networks in the shallow part of the buried-hill structure. The hydrothermal genesis of calcite fillings in the fractures is useful in understanding the distribution of the calcite filling contents in the buried-hill structure, that is, the fractures near Chengnan and Chengnan Ertaijie faults have higher filling contents, while the fractures far from these faults have fewer fillings. Key words: carbonate buried-hill, fracture filling mechanism, deep thermal fluid, Futai Oilfield, Bohai Bay Basi

Hollow nitrogen containing core/shell fibrous carbon nanomaterials as support to platinum nanocatalysts and their TEM tomography study

Core/shell nanostructured carbon materials with carbon nanofiber (CNF) as the core and a nitrogen (N)-doped graphitic layer as the shell were synthesized by pyrolysis of CNF/polyaniline (CNF/PANI) composites prepared by in situ polymerization of aniline on CNFs. High-resolution transmission electron microscopy (TEM), X-ray diffraction (XRD), Fourier transform infrared and Raman analyses indicated that the PANI shell was carbonized at 900 degress C. Platinum (Pt) nanoparticles were reduced by formic acid with catalyst supports. Compared to the untreated CNF/ PANI composites, the carbonized composites were proven to be better supporting materials for the Pt nanocatalysts and showed superior performance as catalyst supports for methanol electrochemical oxidation. The current density of methanol oxidation on the catalyst with the core/shell nanostructured carbon materials is approximately seven times of that on the catalyst with CNF/PANI support. TEM tomography revealed that some Pt nanoparticles were embedded in the PANI shells of the CNF/PANI composites, which might decrease the electrocatalyst activity. TEM-energy dispersive spectroscopy mapping confirmed that the Pt nanoparticles in the inner tube of N-doped hollow CNFs could be accessed by the Nafion ionomer electrolyte, contributing to the catalytic oxidation of methanol

Distributed control system architecture for deep submergence rescue vehicles

The control architectures of Chuan Suo (CS) deep submergence rescue vehicle are introduced. The hardware and software architectures are also discussed. The hardware part adopts a distributed control system composed of surface and underwater nodes. A computer is used as a surface control machine. Underwater equipment is based on a multi-board-embedded industrial computer with PC104 BUS, which contains IO, A/D, D/A, eight-channel serial, and power boards. The hardware and software parts complete data transmission through optical fibers. The software part involves an IPC of embedded Vxworks real-time operating system, upon which the operation of I/O, A/D, and D/A boards and serial ports is based on; this setup improves the real-time manipulation. The information flow is controlled by the software part, and the thrust distribution is introduced. A submergence vehicle heeling control method based on ballast water tank regulation is introduced to meet the special heeling requirements of the submergence rescue vehicle during docking. Finally, the feasibility and reliability of the entire system are verified by a pool test. Keywords: Deep Submergence Rescue Vehicle (DSRV), Control system, Architecture, Thrust distribution, Water tank regulatio