The Location Choices of Manufacturing Plants
碩士 === 國立成功大學 === 都市計劃學系碩博士班 === 94 === The present research investigates the location choices of manufacturing plants that began operations between 1997 and 2001. Empirical results, estimated from Poisson regression model, indicate that when a township is closer to the freeway interchange and regi...
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ndltd-TW-094NCKU53470012016-06-03T04:14:22Z http://ndltd.ncl.edu.tw/handle/13565267866825909636 The Location Choices of Manufacturing Plants 製造業廠商之區位選擇 Chi-Mei Shui 水啟梅 碩士 國立成功大學 都市計劃學系碩博士班 94 The present research investigates the location choices of manufacturing plants that began operations between 1997 and 2001. Empirical results, estimated from Poisson regression model, indicate that when a township is closer to the freeway interchange and regional market area, has lower industrial land tax and a larger pool of industrial estate, with more various industrial structures and manufacturing concentration etc., then it will have more new plants. The present research also classifies the manufacturing industry into four categories: urban labor, urban technology, local resources, and basic resources manufacturing industries and investigates the location factors as well as their effects on each manufacturing industry. By using the significant location factors and the random utility maximization probability model to predict the investment probabilities, Tainan city gets the largest investment probability, and Sinjhung city gets the second largest one. The prediction almost matches the reality, suggesting that the study picks up the right explanatory variables that influence the location choices of new plant births. Hsiang-Po Lin 林享博 2005 學位論文 ; thesis 98 zh-TW |
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碩士 === 國立成功大學 === 都市計劃學系碩博士班 === 94 === The present research investigates the location choices of manufacturing plants that began operations between 1997 and 2001. Empirical results, estimated from Poisson regression model, indicate that when a township is closer to the freeway interchange and regional market area, has lower industrial land tax and a larger pool of industrial estate, with more various industrial structures and manufacturing concentration etc., then it will have more new plants.
The present research also classifies the manufacturing industry into four categories: urban labor, urban technology, local resources, and basic resources manufacturing industries and investigates the location factors as well as their effects on each manufacturing industry. By using the significant location factors and the random utility maximization probability model to predict the investment probabilities, Tainan city gets the largest investment probability, and Sinjhung city gets the second largest one. The prediction almost matches the reality, suggesting that the study picks up the right explanatory variables that influence the location choices of new plant births.
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author2 |
Hsiang-Po Lin |
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Hsiang-Po Lin Chi-Mei Shui 水啟梅 |
author |
Chi-Mei Shui 水啟梅 |
spellingShingle |
Chi-Mei Shui 水啟梅 The Location Choices of Manufacturing Plants |
author_sort |
Chi-Mei Shui |
title |
The Location Choices of Manufacturing Plants |
title_short |
The Location Choices of Manufacturing Plants |
title_full |
The Location Choices of Manufacturing Plants |
title_fullStr |
The Location Choices of Manufacturing Plants |
title_full_unstemmed |
The Location Choices of Manufacturing Plants |
title_sort |
location choices of manufacturing plants |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/13565267866825909636 |
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