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        FIN41920代做、代寫R程序語言
        FIN41920代做、代寫R程序語言

        時間:2025-03-19  來源:合肥網(wǎng)hfw.cc  作者:hfw.cc 我要糾錯



        FIN41920 Sustainable Finance Group Project
        2025
        The purpose of this project is to evaluate the ability of applying US toxic emission data
        and accounting data to analyse the effect of toxic emissions on firms’ financial 
        performance. Here are the recommended instructions:
        ➢ Each group should decide whether to use Stata or R to complete the work.
        ➢ You are required to download the Toxics Release Inventory (TRI) Basic Data from 
        1987 to 2010. The US accounting data and linktable have been provided on 
        Brightspace for your use. Both files are in .csv format.
        ➢ Use the linktable to merge TRI data and US accounting data. Both data files have 
        the same company ID and year information which shall be used.
        ➢ Calculate the variables of firm size, operating leverage, tangibility, investment rate,
        return on equity (ROE), total emissions and emission intensity. For the variable 
        definitions, please check the pollution premium paper for reference. 
        ➢ Perform the summary statistics for the above variables, i.e., the number of 
        observations, mean, standard deviation, minimum value, median, and maximum 
        value.
        ➢ Use OLS analyses to regress financial performance (ROE) on emission intensity 
        and control for the variables of firm size, operating leverage, tangibility, investment 
        rate, year and firm fixed effects.
        ➢ Output the regression table and identify the relationship between emission 
        intensity and financial performance. Discuss the statistical significance of 
        estimated coefficient of emission intensity in the context.
        ➢ Write a comprehensive report documenting each step, from data curation to the 
        final model analysis. Include R or Stata code snippets, figures, tables, and a 
        discussion of results and diagnostics. Conclude with reflections on main findings 
        and any limitations encountered. The word limit is 1,500 (-/+10%) that excludes 
        code snippets, figures, tables and references.
        ➢ During the 15-minute presentation, you should walk through all the steps, the 
        corresponding codes and findings. The report, final dataset and coding files must 
        be submitted to Brightspace before the deadline.
        ➢ Only one member of the group shall make the submission to Brightspace.
        ➢ During the presentation, three random questions will be asked that must be 
        answered. Please ensure that every member is thoroughly familiar with the work.
        Failure to answer any question will result in the deduction of one mark per missed 
        question.
        ➢ Submission Deadline is 21st March 11:00 pm. All group presentations will take 
        place in the class in 27th March.

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