2019 年底 COVID-19 成為流行傳染病在世界各國間蔓延，並以異常的速度重創區域經濟發展，臺灣在變異株病毒的入侵下，陷入暫時性衰退。隨著疫情逐漸趨緩，衝擊事件所帶來的負面影響，讓我們重新去檢視人居環境及過去城市治理的優缺點，而在衝擊當下受到脆弱度、結構性因素影響，導致區域間呈現出不同程度的韌性、韌性驅動因素，除了對區域經濟產生影響外，也對通盤性的都市規劃提出質疑，因此有探究區域經濟韌性差異，並從中剖析影響經濟韌性因素之必要。
考量世界各國才剛從疫情中復甦，缺乏以疫情為衝擊事件的討論，另外既有文獻多以臺灣北部區域為實證範圍，缺乏針對南部區域的實證研究及南北區域間之比較，而南部地區卻在過去研究中被視為是應變災害、危機事件脆弱度較高的區域，有更迫切提升經濟韌性之必要，再加上南北區域差異甚大，無法以北部區域之觀點來代表南部區域的經濟韌性發展。
爰此，本研究欲以新冠疫情為衝擊事件，探討北部及南部區域在疫情下的韌性差異。首先，透過經濟韌性指標判別各區域的韌性程度，再由四象限法進行韌性程度的分類，最後以多元迴歸模型解析影響經濟韌性之因素，並彙整上述結果提出後續規劃對策上之建議。研究結果顯示，疫情對於北部區域的市中心，以及南部區域的市中心、偏鄉地區造成嚴重衰退，而從多元迴歸模型的結果推知，影響韌性因素存在差異性，在北部區域中知識創新對於經濟韌性的影響較大；南部區域中則是地方規劃治理、知識創新對於區域經濟韌性有較高的解釋力，應作為市中心、偏鄉地區在後疫情時代提升區域經濟韌性之參考。

At the end of 2019, COVID-19 spread rapidly worldwide, severely impacting regional economies. Taiwan experienced a temporary recession due to the virus's variants. As the pandemic eased, it became crucial to reassess the living environment and urban governance. Regions exhibited varying degrees of resilience, influenced by factors such as vulnerability and structural issues. This raised questions about urban planning and the need to explore economic resilience differences and their influencing factors.

Considering that countries around the world are just recovering from the pandemic, discussions focusing on COVID-19 as a shock event are still lacking. Moreover, existing literature largely focuses on the northern regions of Taiwan, with insufficient empirical research on the southern regions or comparisons between the northern and southern regions. However, the southern region, often regarded as more vulnerable to disasters and crises in past studies, has a more urgent need to enhance economic resilience. Additionally, the significant differences between the northern and southern regions mean that the economic resilience development of the southern region cannot be represented by the perspective of the northern region.

Thus, this study examines the resilience differences between northern and southern Taiwan during the pandemic. Using economic resilience indicators, the study classifies resilience levels and analyzes influencing factors with a multiple regression model. Findings indicate that the pandemic caused severe recessions in both northern and southern central areas. Knowledge innovation significantly impacts resilience in the north, while local governance and planning, alongside knowledge innovation, are crucial in the south. These insights are vital for enhancing economic resilience in post pandemic Taiwan.

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