BUSINESS STATISTICS 1 Assessment 3: Individual Assignment: Determinants of Carbon Emission Rate

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BUSINESS STATISTICS 1 Assessment 3: Individual Assignment Instructions: This is an individual assignment with a total of 40 marks. The allocation of marks is as follows:   Statistical Analysis with Excel File: 32 Professional Report: 8 Total: 40   Report Structure The response must be provided in the form of a professional report with no…

Description

BUSINESS STATISTICS 1

Assessment 3: Individual Assignment

Determinants of Carbon Emission Rate

Instructions:

This is an individual assignment with a total of 40 marks. The allocation of marks is as follows:

 

Statistical Analysis with Excel File: 32
Professional Report: 8
Total: 40

 

Report Structure

The response must be provided in the form of a professional report with no more than 10 pages (excluding the cover page).

 

The structure of your professional report must include:

  • A Title, 
  • An Executive Summary, 
  • An Introduction, 
  • Analysis, and 
  • Conclusions. 

 

Submission

You must submit an electronic copy of your assignment on Canvas. See the attached Template of your submission for more details.

 

Excel file

This assignment requires the use of Microsoft Excel.  You will also be using Data Analysis Tool-Pack to complete the assignment.

 

You need to submit the Excel file along with your report. The excel file needs to be clear and carefully organized and must show all workings underlying the Professional report and associated statistical analysis. It will be treated as an appendix to your report, i.e., not included in the page count.

 

DO NOT leave your responses in the Excel workbook. You will need to take the relevant results from your Excel workbook and incorporate into your report. The report needs to be standalone.

 

Presentation Instructions:

Your written professional report should comply with the following presentation standards:

  1. Typed using a standard professional font type (e.g. Times Roman), 12-point font size.
  2. 1.5-line spacing, numbered pages, and clear use of titles and section headings.
  3. Delivered as a Word (.doc or .docx) or PDF (.pdf) file.
  4. Checked for spelling, typographical and grammatical errors. Where relevant, round to 3 decimal places.
  5. With all relevant tables and charts, the report should be no more than 10 pages long.

 

Problem Description:

 

This is a further analysis of Carbon Dioxide (CO2) emissions with an objective to investigate the factors that influence carbon emissions. Governments worldwide have been promoting the use of renewable energy as a strategy not only to increase access to electricity but also to reduce environmental degradation because of its lower level of carbon dioxide emissions.  To formulate effective policies to mitigate carbon emissions, it is crucial to understand the factors that influence it.

Since this is an additional analysis on CO2 emissions, the content in the Introduction section of your report may overlap with the one in the Group Assignment. However, you are encouraged to develop/source new background materials that align with the objective of the current analysis. You will use a similar dataset as in Assignment 2 but with some additional information. The data are drawn from the World Bank database for year 2015. The sample used for analysis comprises of 57 high-income countries (HIC) and 130 low- or middle-income countries (LMIC), as per the World Bank classification of world economies. The dataset contains the following information:

  1. CO2: per capita carbon dioxide emissions (metric tons)
  2. group: the dummy variable group = 1 if it is a high-income country (HIC), and = 0 if it is low- or middle-income country (LMIC).
  3. urban: the dummy variable urban = 1 if the country is highly urbanised (i.e 70% or more of the population live in urban areas), and = 0 if the country is not highly urbanised
  4. dense: the dummy variable dense = 1 if the country is densely populated (i.e more than 200 individuals live in 1 square kilometre of land area), and = 0 if it is not densely populated.
  5. GDP: per capita GDP, in USD1000, at constant 2015 prices
  6. renewable: share of renewable energy consumption out of total energy consumption (in %)

Key instructions to follow:

  1. Locate the data file (IndividualAssignmentData.xls) on CANVAS.
  2. Use the 5% significance level where relevant or not specifically mentioned.

While explaining your findings, please ensure that you explain both statistical findings and provide interpretations in the context of the scenario.