Description Detail

Vol.20, No.4(2013-)(213) 
ECFA Market Impact of MIT's Apparel Industry - A Case Study of Taipei Wanhua Apparel Shopping District for Businesses
ECFA對MIT服飾業市場影響之探討 —以台北艋舺服飾商圈商家為例
C.Y. Chang, H. S. Hung
張家悅, 洪輝嵩
The purpose of this study is to investigate the ECFA signing of MIT's apparel industry market. ECFA signing will help relieve Taiwan's textile and apparel industry in the competitive China apparel industry market. It will cause quite impact to our domestic demand oriented industries, less competitive industries, vulnerable to the impact of trade liberalization industry. In this case, government implementing a policy it is called “In response to the liberalization of trade in industrial restructuring support programs” to assist them transformation and designing MIT smile trademarks to protect their products. Today we are using questionnaires to analyze this policy from it starting at Taipei Wanhua apparel shopping district in 2010. Businesses realize MIT clothing is more than before the ECFA signed the questionnaire results us. Due to the upgrading of the MIT apparel industry recognition businesses is willing to point out their effort to help the MIT clothing industry. From the questionnaire results that, after the signing of the general store has the effect of increasing sales that MIT clothing Compared ECFA signed, enhance customer recognition for MIT apparel industry relative.
本研究的目的在探討ECFA簽定後對MIT服飾產業市場影響,ECFA的簽定,將有助於舒緩台灣紡織服飾業在大陸市場上所面臨的激烈競爭,政府實施了名為「因應貿易自由化產業調整支援方案」,為強化我國貿易成長動能,政府積極推動與主要貿易伙伴國洽簽經濟合作協議,將可有效打開中國大陸市場,取得領先競爭對手國進入中國大陸市場之優勢、吸引外來人來投資。在搭配後續推動的其他經濟合作協議,將有助於台灣融入全球經濟貿易體系,促進經貿投資國際化。對於國內內需型、競爭力較弱、易受貿易自由化影響之產業及其雇用員工,亦將造成相當之衝擊,有鑑於此,政府實施了此項措施,來輔助台灣業者成功轉型成可以自行製造及生產(MIT),並設計MIT微笑商標給予這些經國家認證的MIT業者來保障他們產品製造的可信度,研究以發放問卷的方式來分析這項政策從2010年施政開始到現今對於台北艋舺服飾商圈的影響。從問卷分析結果得知,簽訂之後於普遍店家是有提升銷售的效果,認為MIT服飾相較ECFA簽訂前變多了,也說明了顧客對於MIT服飾產業的認同相對提升。
ECFA、MIT、Wanhua apparel shopping district businesses
ECFA、MIT服飾產業、艋舺服飾商圈
Year Volume
2021 28.1 | 28.2
2020 27.1 | 27.2
27.3 | 27.4
27.5 | 27.6
27.7 |
2019 26.1 |
2018 25.1 |
2017 24.1 | 24.2
24.3 | 24.4
24.5 | 24.6
24.7 | 24.8
24.9 |
2016 23.1 | 23.2
23.3 | 23.4
23.5 | 23.6
23.7 | 23.8
2015 22.1 | 22.2
22.3 | 22.4
22.5 |
2014 21.1 | 21.2
21.3 |
2013 20.1 | 20.2
20.3 | 20.4
2012 19.1 | 19.2
19.3 | 19.4
2011 18.1 | 18.2
2010 17.4