EC430G EQUALITY, THE ENVIRONMENT, ECONOMIC GROWTH, AND SUSTAINABLE DEVELOPMENT Course Syllabus - Sara Myers

Term
Fall 2026
Section
M1
Course Delivery
ln person­[FTF]
Class Program
Credits 4.00
Economic analysis will be used in a study of the issues and problems involved in the sustainable development of first world and third world countries. Both the trade-off and the complementary aspect between economic growth and environmental protection will be considered. National and international plans and policies which impact sustainable development, equality, economic growth, and environmental protection will be scrutinized from the global social welfare perspective.
Prerequisites
Junior or senior standing

Meeting Times, Location, & Course Delivery Details

Meeting Days:
Tuesday & Thursday
Meeting Times:
2:40 pm-4:10 pm
Location:
CSA 244
Delivery Details

This course will move to the Online (asynchronous) format in the event that the college is required to transition to online at any point during the semester due to a pandemic.

Contact Information

Instructor:
Sara Myers
Instructor Email:
sara.myers@wilmington.edu
Office Location:
Bailey 102
Phone Number
937-481-2286
Office Hours:
TR 8:30 am-9:30 am, 4:15 pm-5:15 pm. M 10:00 am-11:00 am virtually
Course Materials

Textbook
Name: Economic Development
Edition: 13th Edition
ISBN: 9781292291154
Author: Michael Todaro & Stephen Smith Stephen 
Publisher: Pearson

The Future Earth: A Radical Vision for What's Possible in the Age of Warming, by Holthaus

The Price of Inequality: How Today's Divided Society Endangers Our Future, by Stiglitz

Instructor's Course Objectives

The goal of this course is to consider whether or not economic growth is the same as economic development. We will examine alternative ways to measure the economy rather than using GDP. Community, relationships, traditions, belonging, sacredness, and happiness are all aspects that should be considered when measuring the economy. Security, the environment, ecology, and sustainability are factors that determine whether there is positive economic growth. There will also be an examination of apparent biases inherent in the terminology of economics.

Course Schedule

Tentative Schedule

Subject to change during the semester. Adequate notice of changes will be given.

WeekDatesReading

Assignments

Week 18/24-8/8/28Economic Growth vs Economic Development 
Week 28/31-9/4Economic Growth vs Economic Development continued 
Week 39/7-9/11Inequality 
Week 49/14-9/18Population, Human Capital, and Agriculture in Development

Quiz 1

Week 59/21-9/25What is Sustainability, and why it is not enough? What is Ecology and why it is important?

 

Week 69/28-10/2What is Sustainability, and why it is not enough? What is Ecology and why it is important? continued 
Week 710/5-10/9Development Policymaking and Roles of Market, State and Society

 

Week 810/12-10/16Development Policymaking and Roles of Market, State and Society continued

Midterm

Week 910/19-10/23Culture, Society, and Development

 

Week 1010/26-10/30Africa 
Week 1111/2-11/6Africa

 

Week 1211/9-11/13The Cuban, the Venezuelan, and the Bolivian model of Development; Latin American Today

Quiz 2

Week 1311/16-11/20The Scandinavian Model of Development

Group Paper and Presentations Due

Week 1411/23-11/27The Japanese, the Chinese, and other Asian Countries Model of Development

 

Week 1511/30-12/4The Japanese, the Chinese, and other Asian Countries Model of Development 
Week 1612/8Course Review 
Course Assignments
  • Professional Judgement – 15%
  • Activities – 15%
  • Group Discussion Paper and Presentation – 15%
  • Quizzes – 15%
  • Midterm – 20%
  • Final – 20%
Course Final Exam
Tuesday, December 15th 3:15 pm-5:15 pm
Evaluation of Work

The grading scale will be as follows:

PercentageLetter Grade
90-100%A
86-89%B+
80-85%B
76-79%C+
70-75%C
66-69%D+
60-65%D
Below 60%F

Instructor Course Policies

Instructor's Course Attendance Policy

Attendance is MANDATORY. If a student must miss a lecture, the student is solely responsible for obtaining the information missed. This includes, but is not limited to, subject matter and announcements about modifications to course content and the timetable. The instructor is not responsible for providing missed information to the student. Coming late to class or an online lecture, except in rare cases, is not permitted. Students who come late to class may be asked to leave the classroom or denied entry. Frequent absences and lateness will render the student ineligible for extra credit and any curve grades, if one is drawn. If a student misses 6 or more classes, the instructor may decide that the student will receive a failing grade and need to retake the class. See the current Student Handbook for the college’s Attendance Policy, especially as it pertains to excused absences.

Attendance is required on days that include a guest speaker and/or a field trip. If you are unable to attend due to a conflict (athletic participation, etc.), please let me know no later than one week before the speaker or field trip, and I will provide an alternative assignment. If you do not let me know one week prior, you will not receive credit for these events and will lose points in the course. ABSOLUTELY NO EXCEPTIONS. I AM SERIOUS. You will provide your own transportation to the field trip.

Instructor's Academic Integrity Policy

Any act of academic dishonesty, including cheating and plagiarism, will result in FAILURE of this course. See the current Student Handbook for the college’s Academic Integrity policies as they pertain to examinations, plagiarism, classroom behavior, and the process for handling academic misconduct charges. Failure to comply with this policy will result in penalties for academic dishonesty.

Artificial Intelligence (AI) Use Policy

Artificial intelligence tools (including ChatGPT and other large language model–based platforms) are increasingly used in many professions. Learning how to use AI responsibly, ethically, and transparently is an important professional skill. When used appropriately, AI can support research, organization, brainstorming, and efficiency.

At the same time, education places a strong emphasis on critical thinking, professional judgment, student voice, and genuine learning. This policy is designed to help students take advantage of AI’s benefits while maintaining academic integrity and professional authenticity.

Permitted and Structured Use of AI

Many assignments in this course will explicitly identify whether and how AI tools may be used. When AI use is permitted, it may include (but is not limited to):

  • Brainstorming ideas or refining research questions
  • Locating and summarizing peer-reviewed sources
  • Outlining papers or organizing ideas
  • Checking grammar, clarity, and formatting
  • Supporting literature reviews or background research

Students should never assume AI use is permitted unless it is clearly stated in the assignment instructions.

Documentation and Citation Requirements

If a student chooses to use AI on an assignment where AI use is permitted, the student must:

  1. Submit a transcript or record of the AI interaction (e.g., copied chat text or exported file), and
  2. Correctly cite the AI tool in APA format, including:
    • The AI platform used
    • The purpose for which it was used
    • The date(s) of use

Failure to properly document and cite AI use will be treated as an academic integrity concern.

Preserving Student Voice and Authenticity

AI tools are meant to support student learning — not replace it. Students are expected to submit work that reflects:

  • Their own thinking, analysis, and professional judgment
  • Their unique voice and writing style
  • Full engagement with course materials, including instructor-provided readings and documents

Assignments should demonstrate depth, accuracy, and thoughtful integration of course content. AI-generated text that lacks specificity, context, or meaningful engagement does not meet course expectations.

Instructor Discretion and Review

Instructors reserve the right to inquire about AI use on any assignment. Indicators that may prompt review include, but are not limited to:

  • Overuse of dashes, bullet-point lists, or emojis
  • Writing that appears unusually polished or mechanically “perfect”
  • Abnormal or inconsistent grammar patterns
  • Sudden or unexplained changes in student voice or tone
  • Failure to reference required course materials (e.g., instructor-provided PDFs or Word documents)
  • Incomplete, vague, or unsupported facts and statistics
  • Missing or underdeveloped analysis

These indicators do not automatically constitute misconduct but may warrant further review or clarification.

Consequences for Improper or Undisclosed AI Use

If AI is used inappropriately, without disclosure, or in violation of assignment instructions, the instructor may take one or more of the following actions, at their discretion:

  • Assign a zero (0) on the assignment
  • Require a handwritten rewrite of the assignment
  • Administer a quiz or oral assessment on the assignment content
  • Require revision with additional documentation
  • Refer the matter to the Office of Academic Affairs

Repeated or serious violations may result in further disciplinary action under College policy.

Institutional and Program-Level Policies

Final Exam Schedule
All exams will follow the Final Exam Schedule. Students scheduled to take three or more final examinations on one day may request to arrange their examination schedule, so no more than two exams occur on one day.
Requests for early or late exams are considered only under extreme circumstances. Prior to the exam period, the student must file a written request on the Early/Late Exam Form available in the Student One Stop Center, Academic Records, and on the WC portal. The form must be signed by the Instructor and the Academic Dean, approving the alternate exam time. This process must be completed prior to the scheduled exam period.

Undergraduate:  FA26 Final Exam Schedule    

 

Out-of-class Work Expectation

A minimum of 2 hours of out-of-class student work is expected for each hour of in-class time for traditional face-to-face courses. For online and hybrid courses, the combination of face-to-face time and out-of-class work should be equal to 3 hours per credit hour per week.

Instructional Course Delivery                                                                                                            

Definition of Courses

Academic Integrity Policy

The use of generative AI is prohibited except where expressly allowed in assignment instructions.

Academic Integrity Policy

Class Attendance Policy                              

Institutional Class Attendance Policy