國立中山大學 108學年度第2學期 課程教學大綱

National Sun Yat-sen University 108Academic year Course syllabus

中文名稱
Course name(Chinese)

產業經濟學

課號
Course Code

BM625

英文名稱
Course name(English)

INDUSTRIAL ECONOMICS

課程類別
Type of the course

講授類

必選修
Required/Selected

選修

系所
Dept./faculty

企業管理學系企業管理碩士班

授課教師
Instructor

佘健源    

學分
Credit

3

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】
非同步遠距【課堂錄影或錄製數位教材放置網路供學生可非同時進行線上學習,得採EverCam、PPT簡報錄影、錄音方式進行】
實作類課程,經評估無法採遠距課程教學,後續復課後密集補課

★遠距教學軟體操作說明連結

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 project40%
2.Midterm20%
3.Final exam40%

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 aviation industry, real estate industry, and tire industry 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

        
1.Attendance and participation10%
2.Group project30%
3.Midterm25%
4.Final exam35%

參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念,不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
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

        
週次日期授課內容及主題
WeekDateContent and topic
12020/02/27~2020/02/29Course Introduction
22020/03/01~2020/03/07Basic Tool: Regression Analysis
32020/03/08~2020/03/14Basic Tool: Regression Analysis
42020/03/15~2020/03/21Basic Tool: Regression Analysis and Causal Inference
52020/03/22~2020/03/28Basic Tool: Regression Analysis and Nonlinear Models
62020/03/29~2020/04/04Tomb Sweeping Day
72020/04/05~2020/04/11Basic Tool: Regression Analysis and Time-series Cross-sectional Data
82020/04/12~2020/04/18Midterm
92020/04/19~2020/04/25Demand: Estimate Demand Curve and Instrumental Variable Regression
102020/04/26~2020/05/02Demand: Aviation Industry
112020/05/03~2020/05/09Demand: Real Estate Industry
122020/05/10~2020/05/16Supply: Estimate Production Functions
132020/05/17~2020/05/23Supply: Estimate Production Functions
142020/05/24~2020/05/30Market Structure: Firm Entry and Survival
152020/05/31~2020/06/06Final Exam
162020/06/07~2020/06/13Group Presentation and Discussion
172020/06/14~2020/06/20Group Presentation and Discussion
182020/06/21~2020/06/24Dragon Boat Festival

課業討論時間 Office hours

         時段1 Time period 1:
時間 Time:星期二1530-1730
地點 Office/Laboratory:CM4067
時段2 Time period 2:
時間 Time:星期三1530-1730
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

        
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 capabilities of the department and the university
課堂活動與評量方式
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
溝通能力與團隊合作(Communication ability and team cooperation) 1. Communication ability and team cooperation.V V V V    
進階管理知識(Advanced knowledge of management) 2. Advanced knowledge of management.VVV V V   V
倫理觀與社會責任實踐(Ethics and social responsibilities) 3. Ethics and social responsibilities.           
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
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    
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:

         尚未建立SDGS資料

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

         本課程無註記包含校外實習

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