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國立清華大學全球化經濟研究中心_2026秋季大專生研究計畫

國立清華大學全球化經濟研究中心為提升學生對全球化研究的興趣,鼓勵本校學生參與中心成員指導的研究計畫,接受科學研究訓練,將於115學年上學期舉辦「大專生研究計畫」(辦法如附件),歡迎本校同學申請。

目的

為培育社會科學研究之優秀人才,接受本中心優良之師資的指導,至本中心參與研究計畫。

執行方式

錄取的學生在計畫期間到本中心接受指導,完成執行之研究計畫,並參與中心規劃之活動。

報名資格

本校大學部在學學生,對於相關研究有興趣者,均可報名甄選。

計畫時程

202691日至1131日,共同活動的時間規劃為週四週五中午。

計畫為期3個月。計畫會進行期中評鑑,未通過者將取消資格需參加成果發表會。

結業證書

學生完成計畫所需要求後獲發結業證書。

津貼

參與人員以學習型兼任研究助理聘任,每月6,000,共計3個月。

重要日期

- 6/11 (Thu) 12:10 - 13:10 說明會(地點台積館429

- 7/2 (Thu) 17:00 學生申請截止,開始初試

- 7/9 (Thu) 17:00 公布複試名單(若有需要),開始複試

- 8/3 (Mon) 17:00 放榜

- 8/10 (Mon) 第一次報到截止日,未報到者視為棄權將依序遞補

申請辦法

申請人須請於報名網站報名(網址 https://forms.gle/781Uhw3GQh8KvANUA,並繳交資料,可複選申請計畫。申請資料需:(1) 簡歷,(2) 參與動機,(3) 對於申請之計畫的初步構想,(4) 大學成績證明,(5) 其他有利審查文件(活動型社團經驗無需納入)。請放在同一個 pdf 檔案,最大不得超過 5MB

 

申請計畫

 

Project 1

On the corporate tax reform and production efficiency: a cross-country analysis

陳惠鈞教授

Recently, the United States has experienced two historical corporate tax reforms: the 2017 Tax Cuts and Jobs Act and the 2025 One Big Beautiful Bill. These two reforms have multiple provisions that are related to corporate tax, and thus have a tremendous impact on the growth of the economy and efficiency of production. Other countries, such as Spain and France, also have provisions on the net operating loss carryover.

This project aims to provide the institutional background on corporate tax reforms worldwide. Our targeted countries are the USA, Canada, Mexico, Puerto Rico, EU/EAA countries, the UK, China, Japan, and Russia. To empirically estimate how the corporate tax reforms in these countries affect the marginal tax rate. We plan to then employ the Berlingieri, Jaimovich, Terry, and Vincent (2025) approach to estimate the level and transition of the marginal tax shock and examine how changes in the corporate tax reform affect production efficiency and capital allocation. Therefore, a deep understanding of the institutional details of these corporate tax reforms is essential to construct the AR(1) marginal tax rate shock from the Orbis data.

Job responsibility: The student is expected to undertake a substantial amount of data collection on the institutional details of the tax code and the tax reforms in the above-mentioned countries. Students will also deepen their understanding

of macroeconomic modelling by developing models with me.

 

Project 2

超越經濟地位的跨代延續性

Intergenerational Persistence Beyond Economic Status

吳世英教授

所得不均及社會流動是過去二十年經濟學者高度關心的議題,所得不均代表同一世代的所得分配,社會流動則反應社會地位的跨代遞延,從一個世代複刻到下一世代。跨代流動的實證研究,早期在缺乏追蹤資料的條件下,主要是利用迴歸方法串連不同的橫斷面調查(TS2SLS),近年則多利用具有追蹤資料特性的行政資料如個人報稅資料(Chetty et al., 2014)。台灣近年來也有許多針對跨代流動的實證研究,議題包括跨代所得、跨代教育與跨代資產的相關性(Chu and Lin, 2018)

惟父母親對子女的影響,除了所得、教育和資產外,「非傳統社經地位」與「行為/偏好/健康/社會資本」面向日益獲得學術上的關注,如健康與壽命的跨代流動;政治態度與政治參與;慈善、利他與社會偏好的跨代傳遞(如Corman, Kalil, Schwartz-Soicher and Reichman (2021), “Intergenerational effects of welfare reform: Adolescent delinquent and risky behaviors”)。中研院於1999年開始進行的「家庭動態調查」(Panel Study of Family Dynamics)追蹤調查,同時追蹤訪問父母及其成年子女問卷除了個人資料,還包教育經驗、工作經驗、婚姻與配偶資料、家庭價值與態度、居住安排、家庭決策與支出、家庭關係與和諧和子女教養等。雖然其限制是樣本數不多,但問項包含個人及家庭的各種面向,因此提供了一個適合分析跨代流動的追蹤資料。

參與此一計畫的大學部同學,需能利用STATA處理中研院SRDA中心提供的「家庭動態調查」(中研院已將各年調查整理成STATA資料格式),串連不同年的調查,形成一追蹤資料。另外,同學需有興趣閱讀代表性的文獻,並透過「家庭動態調查」不同世代及年份的問卷,從中探索跟跨代流動相關的研究議題。

 

Project 3

探討原生家庭環境與個人婚育決策的關聯

盧姝璇教授

台灣的總生育率自1970年的每千位育齡婦女平均生育四個小孩急劇下降至2024年僅剩不到一個小孩,而粗結婚率也在此期間由7.2‰下降至約5.3‰。台灣近年不婚不生的婚育結構變化,除了受到自身的教育水準、薪資所得、工時等因素影響外,原生家庭環境的影響也不容忽視。例如,父母的婚姻狀況以及育兒成本,會成爲個人婚育決策的參考依據之一。因此本研究希望透過家庭動態調查資料庫,來探討個人婚育決策與各種原生家庭環境相關變數之關聯,包含:父母薪資、父母教育程度、手足數量、父母金援與育兒協助等變數。

本研究主要可分為兩部分:(1) 透過相關係數的分析,初步瞭解個人婚育決策與原生家庭環境的哪些變數有所關聯。(2) 透過迴歸模型來探討原生家庭環境對個人婚育決策的影響(視進度而定)。

本研究希望參與同學可以增加資料整理的經驗、閱讀數據圖表的能力,並且可以在過程中激發對研究題目發想的能力。

 

Project 4

How to Develop Policy Recommendations for Taiwan Through Field Experiments

趙相科教授

The 2019 Nobel Memorial Prize in Economic Sciences was awarded to Abhijit Banerjee and Esther Duflo of MIT, together with Michael Kremer of Harvard, for their pioneering use of randomized controlled trials (RCTs) in the field to address global poverty. Famous examples include Kremer’s school-based deworming trials in Kenya, which showed that providing free deworming pills could reduce primary school absenteeism by roughly a quarter, and Banerjee and Duflo’s evaluations of Pratham’s Teaching at the Right Level (TaRL) program in India, which groups children by learning level rather than age or grade and has been shown across multiple randomized trials to consistently improve foundational literacy and numeracy. Scientists regard RCTs as the gold standard for causal inference, but the method is not without criticism, particularly regarding the problem of external validity of its findings.

This proposed project asks the selected student to evaluate whether a program like TaRL can be applied to Taiwan. The student investigator is expected to (1) study the methodology of Poor Economics and the broader RCT-based development economics literature; (2) conduct a thought experiment to design a field experiment like TaRL for Taiwan’s education policy; and (3) identify the ethical and validity concerns of the experiment.

 

Project 5

Where Did the Fire Start? Patents, Innovation, and the Geography of Industrialisation in Britain, 1700–1830

李翎帆教授

England was the first country to undergo industrialisation. However, a systematic industrial data is almost non-existed. This project intends to construct such dataset by using the geographical location of patentees as a proxy for the spatial distribution of industries. This approach offers several advantages for studying the industrial development of eighteenth- and nineteenth-century England. Patent records provide unusually rich information on the residence and occupation of inventors, allowing historians to trace the regional concentration of inventive activity over time. In periods where systematic industrial censuses were either unavailable or incomplete, patent data can therefore serve as a valuable indirect measure of industrial development and technological capability. Because many patented inventions emerged directly from practical manufacturing problems, the location of patentees often reflected the presence of local industrial clusters, specialised skills, and networks of production.

Another advantage of patent data is its exceptionally long chronological coverage. Since English patent records are available from the seventeenth century onward, they make it possible to trace the changing nature and geography of industrial, and economic development over a much longer time horizon than most conventional industrial statistics permit. By using patents as a proxy for industrial activity, this project can reconstruct the gradual emergence of regional industrial specialisation before the classic Industrial Revolution, follow the expansion of manufacturing centres during the late eighteenth century, and examine the diffusion of technological capabilities across regions in the nineteenth century. Patent records therefore provide a unique opportunity to study long-run processes of structural transformation and regional economic change.

At the same time, the use of patentees’ locations as a proxy requires careful interpretation. Patenting was costly in eighteenth and early nineteenth-century Britain, meaning that patent records disproportionately captured wealthier inventors and commercially promising technologies. Many forms of incremental innovation, particularly those occurring within small workshops or among skilled artisans, were never patented. Furthermore, patentees did not always reside in the same location as the production facilities where their inventions were implemented. London, for example, was overrepresented in patent records because it served as an administrative and legal centre for the patenting process, even though manufacturing activity itself was often concentrated elsewhere. Consequently, patent data should be interpreted as an indicator of inventive and technological activity rather than a perfect measure of industrial output.

Job requirement: the student will be expected to undertake a substantial amount of data cleaning and collection. In addition to acquiring a foundational understanding of the history of British patent system and Industrial Revolution, the student is also expected to learn and apply Geographic Information System (GIS) tools to create a historical map of British patent in the 18th and 19th centuries.

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