國立中山大學 110學年度第2學期 課程教學大綱

National Sun Yat-sen University 110Academic year Course syllabus

Course name(Chinese)


Course Code


Course name(English)


Type of the course










因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,授課方式調整如下:Since COVID-19, if distance learning is necessary, the teaching methods would adjust as follows:

         同步遠距【透過網路直播技術,同時進行線上教學,得採Microsoft Teams、Adobe connect等軟體進行】
同步遠距含錄影【透過網路直播技術,同時進行線上教學並同時錄影,課程內容可擇日再重播,得採Microsoft Teams、Adobe connect等軟體進行】


因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,評分方式調整如下:Since COVID-19, if distance learning is necessary, the evaluation would adjust as follows:

1.Group project35%
3.Final exam35%

課程大綱 Course syllabus

         本課程教學大綱已提供完整英文資訊(本選項僅供統計使用,未提供完整英文資訊者,得免勾記)【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】

This course will teach you quantitative research methods when you conduct an industrial analysis. I will also take several industries as examples to discuss how to apply these quantitative methods. Because our discussion in this course is based on the concepts in economics and statistics, I strongly suggest you have a good understanding in economics (microeconomics or managerial economics) and statistics before you take this course.
This course have two parts: analysis tools/quantitative methods, and how to use these tools on important issues in industrial analysis. In the method part, I will focus on regression analysis. We will discuss how to use this method, and how to properly interpret the regression result; I will then introduce topics regarding endogeneity, nonlinear regression, and interaction terms. We will also discuss how to analysis time-series cross-sectional data, and how to use this type of data to deal with the omitted variable bias (one kind of endogeneity).
In the application part, I will discuss issues relevant to demand, supply, and market structure. When discussing issues about demand, I will teach you how to find demand curves via market data; hence, I will introduce instrumental variable regression. When discussing issues about supply, we will discuss how to estimate production functions and the impact of technological change on industries. Finally, we will discuss issues regarding market structure, such as market concentration, and firm entry and survival.
Moreover, to let you have an opportunity to apply these quantitative methods to practice, you need to complete a group project. In this project, you have to pick an industry first. Then, you have to collect data, and try to find the demand or supply curve, or try to answer relevant questions in that industry via data. You can learn how to make decisions based on evidence; understand the idea of evidence-based management.

課程目標 Objectives

         1. Understand the quantitative methods in industrial analysis.
2. Know how to use market or industrial data to get market or industrial insights.
3. Know how to answer managerial questions via data.

授課方式 Teaching methods

         Lecture and discussion

評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference

2.Group project30%
4.Final exam35%

參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use

         1. Required reading: James H. Stock and Mark W. Watson (2010) 胥愛琦與呂瓊瑜譯。計量經濟學。台北:台灣培生教育 (ISBN: 978-986-280-021-8)。
2. Required reading: Related papers or industry analysis reports, which will be regularly posted on the National Sun Yat-sen Cyber University.
3. Reference: 陳正倉、林惠玲、陳忠榮與莊春發 (2014)。產業經濟學。台北:雙葉書廊 (ISBN: 978-986-7433-80-0)。

每週課程內容及預計進度 Weekly scheduled progress

WeekDateContent and topic
12022/02/13~2022/02/19Course Introduction
22022/02/20~2022/02/26Basic Tool: Regression Analysis
32022/02/27~2022/03/05Basic Tool: Regression Analysis
42022/03/06~2022/03/12Basic Tool: Regression Analysis and Causal Inference
52022/03/13~2022/03/19Basic Tool: Regression Analysis and Causal Inference
62022/03/20~2022/03/26Basic Tool: Regression Analysis and Nonlinear Models
72022/03/27~2022/04/02Basic Tool: Regression Analysis and Time-series Cross-sectional Data
92022/04/10~2022/04/16Demand: Estimate Demand Curve and Instrumental Variable Regression
102022/04/17~2022/04/23Demand: Estimate Demand Curve and Instrumental Variable Regression
112022/04/24~2022/04/30Demand: Real Estate Industry
122022/05/01~2022/05/07Supply: Estimate Production Functions
132022/05/08~2022/05/14Supply: Estimate Production Functions
142022/05/15~2022/05/21Market Structure: Firm Entry and Survival
152022/05/22~2022/05/28Final Exam
162022/05/29~2022/06/04Group Presentation and Discussion
172022/06/05~2022/06/11Group Presentation and Discussion

課業討論時間 Office hours

         時段1 Time period 1:
時間 Time:星期三1000-1200
地點 Office/Laboratory:CM4067
時段2 Time period 2:
時間 Time:星期四1400-1600
地點 Office/Laboratory:CM4067

系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university

basic disciplines and core capabilities of the department and the university
Class activities and evaluation
本課程欲培養之能力與素養 This course enables students to achieve.紙筆考試或測驗 Test.課堂討論︵含個案討論︶ Group discussion (case analysis).個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.個人口頭報告 Indivisual oral presentation.群組口頭報告 Group oral presentation.課程規劃之校外參訪及實習 Off-campus visit and intership.證照/檢定 License.參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions.課外閱讀 Outside reading.
※系所學生專業能力 Basic disciplines and core capabilities of the department
1.溝通能力與團隊合作(Communication ability and team cooperation) 1. Communication ability and team cooperation.V V V V   V
2.進階管理知識(Advanced knowledge of management) 2. Advanced knowledge of management.VVV V V   V
3.倫理觀與社會責任實踐(Ethics and social responsibilities) 3. Ethics and social responsibilities.           
4.問題分析與解決能力(Ability of problem analysis and solution) 4. Ability of problem analysis and solution.VVV V V   V
5.國際觀與外語能力(Global perspective and foreign language ability) 5. Global perspective and foreign language ability.           
※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university
1.表達與溝通能力。 1. Articulation and communication skillsVVV V V   V
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesVVV V V   V
3.終身學習能力。 3. Lifelong learningV V V V   V
4.倫理與社會責任。 4. Ethnics and social responsibility           
5.美感品味。 5. Aesthetic appreciation           
6.創造力。 6. Creativity           
7.全球視野。 7. Global perspective           
8.合作與領導能力。 8. Team work and leadership           
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature            

本課程與SDGs相關項目:The course relates to SDGs items:

SDG1-消除貧窮(No Poverty)
SDG2-消除飢餓 (Zero Hunger)
SDG3-良好健康與福祉(Good Health and Well-being)
SDG4-教育品質(Quality Education)
SDG5-性別平等(Gender Equality)
SDG6-乾淨水源與公共衛生(Clean Water and Sanitation)
SDG7-可負擔乾淨能源(Affordable and Clean Energy)
SDG8-優質工作與經濟成長(Decent Work and Economic Growth)
SDG9-工業、創新和基礎建設(Industry,Innovation and Infrastructure)
SDG10-減少不平等(Reduced Inequalities)
SDG11-永續城市(Sustainable Cities and Communities)
SDG12-責任消費與生產(Responsible Consumption and Production)
SDG13-氣候行動(Climate Action)
SDG14-海洋生態(Life Below Water)
SDG15-陸域生態(Life on Land)
SDG16-和平、正義和穩健的制度(Peace,Justice And Strong Institutions)
SDG17-促進目標實現的全球夥伴關係(Partnership for the Goals)

本課程校外實習資訊: This course is relevant to internship:

The course includes internship.(For statistical use only. If the course without internship, please ignore this item.)


Internship: The required or elective courses should include credits and learning hours. Students should participate in the corporative company or institution to practice and learn the real skills. An internship certification must be handed in at the end of internship to get the credits or to fulfil the graduation requirements.