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博碩士論文 etd-0721110-202637 詳細資訊
Title page for etd-0721110-202637
論文名稱
Title
製造業動態聚集外部效果之實證-動態網絡DEA之應用
The Study of Dynamic Agglomeration Externalities in Taiwan Manufacturing Industries:An Application for Dynamic Network DEA
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
246
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2010-07-01
繳交日期
Date of Submission
2010-07-21
關鍵字
Keywords
動態聚集外部性、製造業、動態網絡DEA、生產效率、總要素生產力
Dynamic Agglomeration Externalities, Total Factor Productivity (TFP), Manufacturing, Productive Effciency, Dynamic Network Data Envelopment Analysis
統計
Statistics
本論文已被瀏覽 5713 次,被下載 2534
The thesis/dissertation has been browsed 5713 times, has been downloaded 2534 times.
中文摘要
任何一個組織或機構,無論其為營利或非營利組織,均希望能提高本身的效率,改善生產技術,進而達到提高生產力的目標,以期在當前競爭激烈的環境中生存。效率的衡量是提高生產力的基礎,效率與生產力衡量的結果可以幫助決策者瞭解組織對於資源的使用是否達到效率,生產技術是否達到進步與創新的目標。因此,近年來政府與民間機構對於效率及生產力之變動成因,以及如何衡量組織效率及生產力均甚為重視,而學術界更是不斷地研究發展提出各種效率與生產力分析模式,並應用到實際個案分析中,俾利提供管理決策者效率與生產力改進的參考依據,效率與生產力分析儼然已躍居當今產學研究的主流。
本研究以臺灣中分類製造業的工商普查資料進行實證分析,採用二階段方法來探討製造業動態聚集外部效果。第一階段先透過動態網絡資料包絡分析與麥氏生產力指數,計算出各縣市製造業的靜態效率與動態效率;第二階段則應用Tobit迴歸分析來驗證製造業地理集中對生產效率之影響效果,並應用二階段最小平方法(2SLS)來驗證製造業動態聚集外部效果。依據實證分析結果,研提具體可行的政策方案與管理策略建議。
臺灣製造業產業結構在近二十年來產生重大轉變,民生工業、化學工業大幅衰退,資訊電子業、金屬機械業則快速成長,在空間分布上,有明顯往北部區域聚集的趨勢。靜態效率部分,勞力密集型製造業之規模報酬多呈現遞減趨勢,知識密集型製造業則多呈現遞增趨勢,而東部區域製造業之規模效率偏低,導致其生產效率明顯低於北部、中部,南部區域製造業。動態效率部分,各製造業近二十年來的總要素生產力多呈現成長趨勢,亦達到技術變革的創新效果,惟技術效率卻均呈現衰退趨勢,各縣市製造業的生產效率差距有逐年擴大的現象。
本研究發現,影響製造業生產效率差異的最主要因素是內部規模經濟,地方化經濟與都市化經濟等靜態聚集經濟外部效果逐漸降低,區位對生產效率的影響並不顯著。而在製造業動態聚集外部效果部分,本研究發現,臺灣製造業普遍存在MAR專業化及Porter地方競爭動態外部效果,Jacobs多樣化動態外部經濟則並不顯著。人力資源外部效果則具有歧異性,大學以上教育人數多呈現正向影響效果,但員工薪資卻多呈現負向影響效果,此項實證分析結果似乎隱示低工資有利於製造業的經濟成長,但吾人不應擴大解釋臺灣製造業為血汗工廠,這種現象可能係因高薪資帶來高租金、高土地成本、高勞動成本,因而抵銷掉聚集經濟的利益,方為較合理的解讀。此外,臺灣與中國大陸今年六月二十九日於重慶簽定兩岸經濟合作協議(ECFA),對臺灣製造業勢必造成衝擊與影響,此為未來產業經濟研究的重要議題,值得進一步研究與探討。
Abstract
Any one organization or agency, whether for-profit or non-profit organizations that are seeking to enhance their efficiency, improve production technology, thereby achieving the goal of improving productivity, with a view to the current competitive environment. Efficiency measurement is very important, it can help decision makers understand whether the organization achieve technology progress and innovation objectives. In recent years, the government and civil organizations devote themselves to measure the change of organizational efficiency and productivity. Academia constantly research and develop various models of efficiency and productivity analysis, and application to actual cases analysis. Efficiency and productivity analysis has leapt to the mainstream of production economic studies.
This empirical study adopts the census data of the classification of the Chamber of Commerce and industry of manufacturing in Taiwan, using two-stage approach to explore dynamic agglomeration externalities of 2-digit manufacturing. In the first stage, we apply dynamic network data envelopment analysis and Malmquist productivity index to calculate static efficiency and dynamic efficiency of 2-digit manufacturing. In the second stage, we apply Tobit regression analysis to verify a manufacturing geographical concentration effects on productive efficiency. We also adopt two-stage least squares methods (2SLS) to validate dynamic agglomeration externalities effects of manufacturing. Based on the results of this empical study, we propose some specific practical policy alternatives and management strategies.
In the last 20 years, the strctures of Taiwan manufacturing industries have significant changes, the livelihood industry and of the sharp decline in industry, the chemical industry, electronics industry, metal machinery industry is growing fast. There is an obvous agglomeration tendency toward northern Taiwan region. In static efficiency, labour-intensive manufacturing industries tend to be diminishing return to scale rendering, while knowledge-intensive industries are rendering the increasing trend. The scale efficiency of eastern region manufacturing is very low, resulting in their productive efficiency significantly lower than the northern, central, southern regional manufacturing. In dynamic efficiency, the total factor productivity (TFP) of Taiwan manufacturing industries are rendering the growth trend, achieving the goal of innovation effect. However, the technical efficiency of manufacturing are rendering decline trend.
This study found that the most important impact factor on production efficiency is the internal economies of scale. Localization economies, urbanization economies, and other static agglomeration economies external effect gradually reduce. Moreover, this study also found that Taiwan manufacturing industries have notable MAR professional dynamic external economics and notable Porter regional competitive dynamic external economic effect. Besides, Taiwan manufacturing industries has noticeable human resource dynamic external economics, but we also found low wages is beneficial to regional economic growth. We should not expand to explain Taiwan manufacturing-sweatshops. This phenomenon may be caused by high salaries, high rents, high land costs and high labor costs, these factors offset the interest of agglomeration economies. Finally, Taiwan and mainland China signed a cross-strait economic cooperation framework agreement (ECFA) in Chongqing on 29 June 2010. Taiwan manufacturing inevitably be impacted and influenced by ECFA. This is an important topic worthy of further study and discussion in the future.
目次 Table of Contents
第1章 緒論 1
1.1 研究背景與動機 1
1.1.1 產業效率與生產力衡量的重要性 1
1.1.2 產業聚集對都市經濟發展之影響 3
1.1.3 產業空間分佈與變遷及其影響 5
1.2 研究目的與問題 7
1.3 研究範圍 9
1.3.1 空間分析單元 9
1.3.2 時間分析範圍 9
1.3.3 產業分析範圍 9
1.4 研究內容與流程 10
第2章 文獻回顧 13
2.1 產業聚集外部效果相關理論與實證探討 13
2.1.1 產業聚集經濟理論 14
2.1.2 動態聚集外部性之理論 22
2.1.3 動態聚集外部性之實證案例 25
2.1.4 聚集經濟之衡量指標 30
2.1.5 小結 33
2.2 產業空間集中與生產效率之相關性 34
2.2.1 產業空間集中與生產效率相關性之實證研究 34
2.2.2 產業地理集中衡量指標 36
2.2.3 小結 39
2.3 產業效率與生產力量測 39
2.3.1 效率與生產力之理論與衡量方法 39
2.3.2 生產力變動之量測方法 45
2.3.3 小結 47
2.4 靜態、比較靜態及動態資料包絡分析模式 47
2.4.1 靜態DEA模式 48
2.4.2 比較靜態DEA模式 50
2.4.3 動態DEA模式 52
2.4.4 小結 55
第3章 台灣製造業結構及空間之發展與變遷 57
3.1 本研究所界定之製造業範圍 57
3.1.1 製造業之定義與特性 57
3.1.2 台灣目前採用之製造業分類方式 64
3.1.3 本研究採用之製造業分類方式與定義 67
3.2 台灣製造業之產業結構與空間變遷 70
3.2.1 台灣製造業之產業結構變遷 70
3.2.2 台灣製造業之空間分佈與變遷 75
3.2.3 台灣製造業之空間發展型態與變遷 79
3.3 製造業創新產出與各縣市人力資源分析 90
3.3.1 台灣地區製造業創新產出分析 90
3.3.2 台灣地區各縣市人力資源分析 96
第4章 製造業聚集與靜態、動態效率關係之模式建構 101
4.1 實證模式建構 101
4.1.1 製造業靜態效率之衡量模式 101
4.1.2 製造業動態效率之衡量模式 107
4.1.3 製造業動態聚集外部效果之實證模式 109
4.1.4 製造業空間集中對生產效率的影響效果之實證模式 115
4.2 研究方法說明 119
第5章 實證結果分析與政策管理意涵 123
5.1 製造業靜態效率分析 123
5.1.1 民生工業靜態效率分析 123
5.1.2 化學工業靜態效率分析 129
5.1.3 資訊電子業靜態效率分析 136
5.1.4 金屬機械業靜態效率分析 139
5.2製造業動態效率分析 142
5.2.1 民生工業動態效率分析 143
5.2.2 化學工業動態效率分析 148
5.2.3 資訊電子業動態效率分析 154
5.2.4 金屬機械業動態效率分析 155
5.3製造業地理集中對生產效率之影響效果 159
5.3.1 民生工業地理集中對生產效率之影響效果 159
5.3.2 化學工業地理集中對生產效率之影響效果 161
5.3.3 資訊電子業地理集中對生產效率之影響效果 164
5.3.4 金屬機械業地理集中對生產效率之影響效果 165
5.4 製造業動態聚集經濟影響效果分析 167
5.4.1 民生工業動態聚集經濟影響效果分析 168
5.4.2 化學工業動態聚集經濟影響效果分析 170
5.4.3 資訊電子業動態聚集經濟影響效果分析 173
5.4.4 金屬機械業動態聚集經濟影響效果分析 175
第6章 結論與建議 179
6.1 結論 179
6.2 建議 183
6.3 研究限制與後續研究建議 185
參考文獻 189
1.中文部分 189
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附錄1 各縣市製造業靜態效率分析表 201
附錄2 各縣市製造業動態效率分析表 223
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