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A Case of the Ict Industry in Taiwan K
Australasian Journal of Regional Studies, Vol. 13, No. 3, 2007 325 THE IMPACT OF AGGLOMERATIVE INDUSTRIAL DYNAMIC EXTERNALITIES ON REGIONAL TECHNOLOGY GAPS: A CASE OF THE ICT INDUSTRY IN TAIWAN Ku-Hsieh (Michael) Chen Graduate Institute of Industrial Economics, Tamkang University, 151 Ying-Chuan Road, Tamsui 25137, Taipei County, TAIWAN. ABSTRACT: All other things being equal, questions arise as to whether the location of firms in distinct regions will result in variations in their technology capabilities, and what the nature of the local industrial environment is that determines regional technology gaps. This study investigates these issues from a perspective of industrial agglomerative dynamic externalities, examining the roles played by three influential assertions on regional technology gaps, namely, the Marshall-Arrow-Romer (MAR), Porter and Jacobs hypotheses. The results tend to favour the contention of Porter hypothesis on the contribution of the nature of local industrial agglomeration to the production technologies of information and computer technology (ICT) firms. 1. INTRODUCTION Over the past two decades, there has been some considerable resurgence in interest in the discussion of the phenomenon of industrial agglomeration. The attention of regional and industrial public policy has also been drawn to the successful development of so-called ‘new industrial districts’ or ‘industrial clusters’, such as the electronics industries in Silicon Valley in the US, the clothing industry in Northern Italy and the Hsin-chu Science-based Industrial Park in Taiwan. Theoretically, the agglomeration of firms would provide effects of external economic benefits. As the classic argument of Alfred Marshall (1920), the emergence and maintenance of agglomeration has at least three origins, comprising of the development of a local pool of specialized labour, the increased provision of local non-tradable specialized inputs, and the maximum flow of information and ideas (Krugman, 1991). -
List of Insured Financial Institutions (PDF)
401 INSURED FINANCIAL INSTITUTIONS 2021/5/31 39 Insured Domestic Banks 5 Sanchong City Farmers' Association of New Taipei City 62 Hengshan District Farmers' Association of Hsinchu County 1 Bank of Taiwan 13 BNP Paribas 6 Banciao City Farmers' Association of New Taipei City 63 Sinfong Township Farmers' Association of Hsinchu County 2 Land Bank of Taiwan 14 Standard Chartered Bank 7 Danshuei Township Farmers' Association of New Taipei City 64 Miaoli City Farmers' Association of Miaoli County 3 Taiwan Cooperative Bank 15 Oversea-Chinese Banking Corporation 8 Shulin City Farmers' Association of New Taipei City 65 Jhunan Township Farmers' Association of Miaoli County 4 First Commercial Bank 16 Credit Agricole Corporate and Investment Bank 9 Yingge Township Farmers' Association of New Taipei City 66 Tongsiao Township Farmers' Association of Miaoli County 5 Hua Nan Commercial Bank 17 UBS AG 10 Sansia Township Farmers' Association of New Taipei City 67 Yuanli Township Farmers' Association of Miaoli County 6 Chang Hwa Commercial Bank 18 ING BANK, N. V. 11 Sinjhuang City Farmers' Association of New Taipei City 68 Houlong Township Farmers' Association of Miaoli County 7 Citibank Taiwan 19 Australia and New Zealand Bank 12 Sijhih City Farmers' Association of New Taipei City 69 Jhuolan Township Farmers' Association of Miaoli County 8 The Shanghai Commercial & Savings Bank 20 Wells Fargo Bank 13 Tucheng City Farmers' Association of New Taipei City 70 Sihu Township Farmers' Association of Miaoli County 9 Taipei Fubon Commercial Bank 21 MUFG Bank 14 -
[カテゴリー]Location Type [スポット名]English Location Name [住所
※IS12TではSSID"ilove4G"はご利用いただけません [カテゴリー]Location_Type [スポット名]English_Location_Name [住所]Location_Address1 [市区町村]English_Location_City [州/省/県名]Location_State_Province_Name [SSID]SSID_Open_Auth Misc Hi-Life-Jingrong Kaohsiung Store No.107 Zhenxing Rd. Qianzhen Dist. Kaohsiung City 806 Taiwan (R.O.C.) Kaohsiung CHT Wi-Fi(HiNet) Misc Family Mart-Yongle Ligang Store No.4 & No.6 Yongle Rd. Ligang Township Pingtung County 905 Taiwan (R.O.C.) Pingtung CHT Wi-Fi(HiNet) Misc CHT Fonglin Service Center No.62 Sec. 2 Zhongzheng Rd. Fenglin Township Hualien County Hualien CHT Wi-Fi(HiNet) Misc FamilyMart -Haishan Tucheng Store No. 294 Sec. 1 Xuefu Rd. Tucheng City Taipei County 236 Taiwan (R.O.C.) Taipei CHT Wi-Fi(HiNet) Misc 7-Eleven No.204 Sec. 2 Zhongshan Rd. Jiaoxi Township Yilan County 262 Taiwan (R.O.C.) Yilan CHT Wi-Fi(HiNet) Misc 7-Eleven No.231 Changle Rd. Luzhou Dist. New Taipei City 247 Taiwan (R.O.C.) Taipei CHT Wi-Fi(HiNet) Restaurant McDonald's 1F. No.68 Mincyuan W. Rd. Jhongshan District Taipei CHT Wi-Fi(HiNet) Restaurant Cobe coffee & beauty 1FNo.68 Sec. 1 Sanmin Rd.Banqiao City Taipei County Taipei CHT Wi-Fi(HiNet) Misc Hi-Life - Taoliang store 1F. No.649 Jhongsing Rd. Longtan Township Taoyuan County Taoyuan CHT Wi-Fi(HiNet) Misc CHT Public Phone Booth (Intersection of Sinyi R. and Hsinsheng South R.) No.173 Sec. 1 Xinsheng N. Rd. Dajan Dist. Taipei CHT Wi-Fi(HiNet) Misc Hi-Life-Chenhe New Taipei Store 1F. No.64 Yanhe Rd. Anhe Vil. Tucheng Dist. New Taipei City 236 Taiwan (R.O.C.) Taipei CHT Wi-Fi(HiNet) Misc 7-Eleven No.7 Datong Rd. -
Barsine Dingjiai Sp. N. from Lanyu Island (Taiwan) (Insecta, Lepidoptera: Erebidae, Arctiinae, Lithosiini)
© Münchner Ent. Ges., download www.zobodat.at Mitt. Münch. Ent. Ges. 108 9-15 München, 1.11.2018 ISSN 0340-4943 Barsine dingjiai sp. n. from Lanyu Island (Taiwan) (Insecta, Lepidoptera: Erebidae, Arctiinae, Lithosiini) Contribution to the moths of Taiwan 12 1 L.-P. HSU, M.-Y. CHEN, U. BUCHSBAUM Abstract The species Barsine dingjiai sp. n. is described and illustrated from Lanyu Island (Taiwan). The genus Barsine HÜBNER, 1819 is recorded from Lanyu (Orchid) Island for the first time. The new species differs significantly from other species of this genus in the wing pattern as well as in the genitalic structures. Introduction Our investigation of the Insect fauna of Taiwan started with the DAAD project (No.: ID D/0039914 PPP- Taiwan) together with the National Chung Hsing University Taichung (CHU) in the year 2001 and since then many more excursions have been done. Lanyu Island could be visited during the joint projects with the Da-Yeh University with the staff and students. Within the last decade, many papers were published on Taiwan (e. g. BUCHSBAUM & CHEN 2013, 2018, BUCHSBAUM & MILLER 2002, BUCHSBAUM et al. 2006, 2018a, 2018b). Lanyu Island, also called Orchid Island, is a small island about 62 km southeast of Taiwan and about 110 km north of the Philippines. This small island has a size of about 45 km². Two thirds of Lanyu Island are natural forest. The highest mountain of this small island is 552 m asl. Many plants and animal species are endemic on Lanyu Island (CHAO et al. 2009, SHEN & TSAI 2002, YEH et al. -
Hazard Ratings of Debris Flow Evacuation Sites in Hillside Communities of Ershui Township, Changhua County, Taiwan
water Article Hazard Ratings of Debris Flow Evacuation Sites in Hillside Communities of Ershui Township, Changhua County, Taiwan Szu-Hsien Peng Department of Spatial Design, Chienkuo Technology University, No. 1, Chieh-Shou N. Rd., Changhua City 500, Taiwan; [email protected]; Tel.: +886-4-711-1111 (ext. 2256); Fax: +886-4-711-1126 Academic Editor: Miklas Scholz Received: 9 October 2015; Accepted: 1 February 2016; Published: 6 February 2016 Abstract: Global warming in recent years has resulted in climate change. To cope with future climate change and natural environment changes, much of our planning and thinking needs to be adjusted. To this end, safety and rapidness of evacuation have become primary research goals. In this study, geographic information and fuzzy expert systems are applied to debris flow evacuation sites in Ershui Township, Changhua County, for evaluating their hazard ratings. After a geographic information system is used to overlay the environmental sensitivity, FLO-2D is applied to simulate debris flow situations, and the results are utilized to establish a fuzzy expert system that successfully evaluates the hazard ratings of such sites in hillside areas. For future applications, another evaluation reference based on original evacuation sites and routes or evacuation mechanisms and disaster prevention models is proposed as a source of essential assistance to relevant sectors. Keywords: hazard rating; debris flow evacuation site; environmental sensitivity; fuzzy logic system; geographic information system (GIS) 1. Introduction The phenomenon of global warming and its climate change impacts are becoming increasingly apparent. Taiwan was seriously affected by Typhoon Morakot in August 2009 [1–4]. -
Sustainable Campus in Taiwan
Challenge 2008 Taiwan National Development Plan Sustainable Campus ◎ S u in Taiwan Taipei s t a i n a b l e C A movement from「HEART」 a m ◎ p A march toward a u s [sustainable Taiwan] ◎ Tainan H. Jenny Su, ScD Professor of Environmental Health Sciences National Cheng Kung University, Tainan, Taiwan Taiwan Council Member National Council for Sustainable Development Campus: the basic unit of Taiwan’s new “green island initiative”, 2000 A reflection from “Earthquake 921”, 1999 Establishing green industries – local service Network information Shaping community image sharing Promoting green industries and the coexisting network – international join venture • Campus as a Community information Environment preservation/ S deliverance u Industry simulation for Local s rescue center? t species a Cultural i Information n Green and Center Community a -Safety b ecological Network Traveling l e Center Solar and wind corridors Center C -Community generated power a m Sustaining Rainwater storage p Ecology Resource and u -Education original Center s Sustainable ecology Energy cycling -Ecology Campus Center Community Community Cultural Activity Center Local culture General Center Sports and activity preservation education facilities Center Performing Community/District arts exhibits gatherings Middle and Adult and 1999.09.21 Executive Secretary for Environmental Protection elementary school community and Education, Ministry of Education, TAIWAN education institutions Sustainable Campus Eco-City Eco-County Community Eco-Country S u s t a i n a b l e C a m Execution and Supervision p u s Green Island Sustainable Taiwan 1 Building a Sustainable Campus Funding items Sustainable site mediation for hardware renovation Top soil improvement 1. -
(AHP)—A Case Study for Changhua County, Taiwan
International Journal of Structural and Civil Engineering Research Vol. 6, No. 3, August 2017 Hazard Assessment of Potential Debris Flow Using Linear Combination Based on Analytic Hierarchy Process (AHP)—a Case Study for Changhua County, Taiwan Szu-Hsien Peng Department of Spatial Design, Chienkuo Technology University, Changhua City, Taiwan Email: [email protected] Chuan Tang and Qunsheng Fang State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China Email: [email protected], [email protected] Abstract—The present research uses a simple and direct response. Raaijmakers et al. [2] also applied multi- method to assess the hazard rating of potential debris flows objective evaluation to examine flood risk perception and in Changhua County of Taiwan based on field investigation mitigation, and Boamah et al. [3] used Generalized and numerical simulation. Taking 7 potential debris flow Linear Models (GLM) to examine how personality areas in Changhua County as the research objects, linear combination is utilized to evaluate the hazard rating of disposition, social network, and socio-demographic debris flow disaster in disaster-prone areas. In addition, factors mitigate the complex relationship between Analytic Hierarchy Process (AHP) is applied to design the stressful life experiences of floods and the adoption of expert questionnaire for determining the factor weight, and coping strategies among communities in Nigeria and pair-wise comparison is used to calculate the eigenvector as Tanzania. As for debris flow disasters, a multi-criterion the weights of criteria. The calculated weights are further decision analysis method and fuzzy synthetic evaluation used for the hazard assessment. -
Improving Electoral Districting Through Geographic Information Systems
International Conference on Computer Science and Intelligent Communication (CSIC 2015) Improving Electoral Districting through Geographic Information Systems Maw-kae Hor Yi-Fan Peng School of Informatices Center of GIS, RCHSS Kainan University Academia Sinica Taoyuan, Taiwan, ROC Taipei, Taiwan, ROC [email protected] [email protected] Abstract—In this paper, we present an approach that can presented a more complete discussion on the regulation solve the electoral districting problems by integrating the changes and legal issues on it [9] [10]. Hsu gave some technologies of dynamics programming, computational geometry simulated results in predicting the election outcomes [11]. We as well as the geographic information systems. A quantitative also proposed various algorithms in attacking the electoral measurement to evaluate the shape of the districting results is districting problem [12]-[14]. The goal in these researches is to also presented. We have applied these methods to Changhua provide a fair mechanism in electoral districting as well as to County in Taiwan and obtained more than hundred thousands of provide better electoral districting results. feasible solutions. Keywords—computational geometry; dynamic programming; III. ELECTORAL DISTRICTING MECHANISMS electoral districting; geographic information system. There are three most important electoral districting principles that most democratic countries follows: I. INTRODUCTION Population equality principle: the population in all One of the most important issues in solving the electoral districts should be more or less the same. districting problem is to find a fair method in order to avoid the Contiguity principle: the villages in the same district Gerrymandering phenomenon [1] as well as to meet the preset shall form a connected region. -
Vertical Facility List
Facility List The Walt Disney Company is committed to fostering safe, inclusive and respectful workplaces wherever Disney-branded products are manufactured. Numerous measures in support of this commitment are in place, including increased transparency. To that end, we have published this list of the roughly 7,600 facilities in over 70 countries that manufacture Disney-branded products sold, distributed or used in our own retail businesses such as The Disney Stores and Theme Parks, as well as those used in our internal operations. Our goal in releasing this information is to foster collaboration with industry peers, governments, non- governmental organizations and others interested in improving working conditions. Under our International Labor Standards (ILS) Program, facilities that manufacture products or components incorporating Disney intellectual properties must be declared to Disney and receive prior authorization to manufacture. The list below includes the names and addresses of facilities disclosed to us by vendors under the requirements of Disney’s ILS Program for our vertical business, which includes our own retail businesses and internal operations. The list does not include the facilities used only by licensees of The Walt Disney Company or its affiliates that source, manufacture and sell consumer products by and through independent entities. Disney’s vertical business comprises a wide range of product categories including apparel, toys, electronics, food, home goods, personal care, books and others. As a result, the number of facilities involved in the production of Disney-branded products may be larger than for companies that operate in only one or a limited number of product categories. In addition, because we require vendors to disclose any facility where Disney intellectual property is present as part of the manufacturing process, the list includes facilities that may extend beyond finished goods manufacturers or final assembly locations. -
Welcome to the Central Bank of China
401 INSURED FINANCIAL INSTITUTIONS 2021/3/31 39 Insured Domestic Banks 5 Sanchong City Farmers' Association of New Taipei City 62 Hengshan District Farmers' Association of Hsinchu County 1 Bank of Taiwan 14 BNP Paribas 6 Banciao City Farmers' Association of New Taipei City 63 Sinfong Township Farmers' Association of Hsinchu County 2 Land Bank of Taiwan 15 Standard Chartered Bank 7 Danshuei Township Farmers' Association of New Taipei City 64 Miaoli City Farmers' Association of Miaoli County 3 Taiwan Cooperative Bank 16 Oversea-Chinese Banking Corporation 8 Shulin City Farmers' Association of New Taipei City 65 Jhunan Township Farmers' Association of Miaoli County 4 First Commercial Bank 17 Credit Agricole Corporate and Investment Bank 9 Yingge Township Farmers' Association of New Taipei City 66 Tongsiao Township Farmers' Association of Miaoli County 5 Hua Nan Commercial Bank 18 UBS AG 10 Sansia Township Farmers' Association of New Taipei City 67 Yuanli Township Farmers' Association of Miaoli County 6 Chang Hwa Commercial Bank 19 ING BANK, N. V. 11 Sinjhuang City Farmers' Association of New Taipei City 68 Houlong Township Farmers' Association of Miaoli County 7 Citibank Taiwan 20 Australia and New Zealand Bank 12 Sijhih City Farmers' Association of New Taipei City 69 Jhuolan Township Farmers' Association of Miaoli County 8 The Shanghai Commercial & Savings Bank 21 Wells Fargo Bank 13 Tucheng City Farmers' Association of New Taipei City 70 Sihu Township Farmers' Association of Miaoli County 9 Taipei Fubon Commercial Bank 22 MUFG Bank 14 -
Welcome to the Central Bank of China
400 INSURED FINANCIAL INSTITUTIONS 2018/10/31 38 Insured Domestic Banks 5 Sanchong City Farmers' Association of New Taipei City 62 Hengshan District Farmers' Association of Hsinchu County 1 Bank of Taiwan 13 BNP Paribas 6 Banciao City Farmers' Association of New Taipei City 63 Sinfong Township Farmers' Association of Hsinchu County 2 Land Bank of Taiwan 14 Standard Chartered Bank 7 Danshuei Township Farmers' Association of New Taipei City 64 Miaoli City Farmers' Association of Miaoli County 3 Taiwan Cooperative Bank 15 Oversea-Chinese Banking Corporation 8 Shulin City Farmers' Association of New Taipei City 65 Jhunan Township Farmers' Association of Miaoli County 4 First Commercial Bank 16 Credit Agricole Corporate and Investment Bank 9 Yingge Township Farmers' Association of New Taipei City 66 Tongsiao Township Farmers' Association of Miaoli County 5 Hua Nan Commercial Bank 17 UBS AG 10 Sansia Township Farmers' Association of New Taipei City 67 Yuanli Township Farmers' Association of Miaoli County 6 Chang Hwa Commercial Bank 18 ING BANK, N. V. 11 Sinjhuang City Farmers' Association of New Taipei City 68 Houlong Township Farmers' Association of Miaoli County 7 Citibank Taiwan 19 Australia and New Zealand Bank 12 Sijhih City Farmers' Association of New Taipei City 69 Jhuolan Township Farmers' Association of Miaoli County 8 The Shanghai Commercial & Savings Bank 20 Wells Fargo Bank 13 Tucheng City Farmers' Association of New Taipei City 70 Sihu Township Farmers' Association of Miaoli County 9 Taipei Fubon Commercial Bank 21 MUFG Bank 14 -
Annual Important Performance
Annual Important Performance Item Unit 1974 1975 1976 1977 1978 1979 1.Capacity of Water Supply System M3/Day … … … … … … 2.Capacity of Water-Purification-Station M3/Day 1,552,559 1,802,000 2,439,390 2,731,112 2,921,834 3,187,036 3.Average Yield Per Day M3 1,176,321 1,265,741 1,332,205 1,513,115 1,791,415 1,996,937 4.Average Water Distributed Per Day M3 1,159,958 1,251,325 1,329,623 1,509,732 1,786,097 1,993,547 5.Average Water Sold Per Day M3 791,814 833,840 906,641 1,053,783 1,294,756 1,493,036 6.Yield M3 429,357,104 461,995,434 487,586,996 552,286,833 653,866,592 728,881,919 7.Distributed Water M3 423,384,502 456,733,547 486,641,970 551,052,131 651,925,230 727,644,563 8.Water Sold M3 289,012,366 304,351,457 331,830,538 384,630,881 472,585,950 544,957,993 9.Actual Meter-Readings M3 … … 325,943,007 366,487,228 447,447,054 508,369,477 10.Percentage of Water Sold % 68.26 66.64 68.19 69.80 72.49 74.89 11.Percentage of Actual Meter Readings % … … 66.98 66.51 68.63 69.87 12.Administrative Population Person 13,212,945 13,431,137 13,688,930 13,908,275 14,127,946 14,376,247 13.Designed Population Person 6,248,858 6,780,700 7,616,810 8,300,890 8,927,215 9,503,965 14.