本次英国经济代写主要是使用Python进行生态经济学相关的计量经济建模和写一个report

SOEE 5582:  Tools and Techniques in Ecological Economics

Assignment 2:    Research report and supporting materials

SOEE 5582:生态经济学中的工具和技术
作业2:研究报告和辅助材料
主题:投入产出分析

(期末成绩的50%,预计时间:47小时)

目的和目标

·对环境与社会互动或投入产出分析的批判性理解

·能够使用Python执行和解释计算

·制定研究报告

提交截止日期:5月5日星期三下午2点

写作和参考

期望这项作业具有较高的写作和批判性分析标准。强烈建议您准备报告的初稿,由同学,朋友或在大学的写作讲习班中进行审查,并在提交之前进行任何编辑。

要求学生使用哈佛大学参考风格的大学版本(并严格参考!)。提供了有关如何在文本中包括引文以及如何使用哈佛风格引用不同类型的材料的指南。

报告结构

2000字的报告的结构应类似于学术论文。鼓励您遵循以下一般结构:

1.简介:应包括目的和目标,项目结构,数据选择的选择和论据,对更广泛文献的批判性理解(与背景直接相关且背景材料均如此)。

2.方法论:应包括对所用方法论的清晰描述,以及对方法论的优势和局限性的严格讨论。

3.结果:应包括对获得的结果的描述(以及相关的图表,表格和图形),对获得的结果的严格评估以及对不确定性和局限性的理解。

4.讨论和结论:应就您的特定目标和更广泛的现有文献对您的结果进行严格的解释,并对主要结论进行综合。

配套材料

除2000年报告外,学生还应通过电子邮件向相关主题负责人发送用于处理数据的任何支持材料。这些文件可以包括例如.xlsx文件和Jupyter笔记本(.ipynb)文件中的数据。

输入输出分析选项

任务

在此作业中,您将编写Python代码来编译环境扩展的多区域输入输出(MRIO)数据库。您将使用课堂上介绍的WIOD数据库为您选择的国家(而非英国)计算基于消费的帐户。然后,您将创建场景,根据发现的真实证据,探索未来一段时间内基于消耗的排放量可能会如何变化。您可以选择未来的年份,因为它可能取决于您为您所在国家/地区找到的数据和特定政策。

1.用提供的WIOD数据库编译一个环境扩展MRIO数据库。

2.计算您所选国家/地区在1995-2009年的基于CO2消耗量的帐户。您可能要比较基于消费的帐户和基于生产的帐户。

3.使用MRIO数据库调查未来情况。您的方案可以更改:

一种。最终需求。您可以调查未来的人口可能如何在总支出上花费更多(由于人口增加);多买一些商品而少买一些其他商品;并改变他们从哪里购买商品

b。碳生产强度。将来某些行业会以更少的碳排放量产生相同数量的产出吗?

4.您将要计算几种不同的未来方案,每种方案都显示出替代的未来碳足迹。尝试以真实证据为基础建立您的期货。查找可能会改变消费行为或行业效率的政策示例。贵国是否有减排目标?您可以使用您选择的国家/地区的证据,也可以假设您的国家/地区可能遵循类似国家/地区的最佳做法政策。

5.分析和解释您的结果

6.撰写一份关于您的发现的报告,包括对该方法/模型以及可能的应用的优缺点的严格讨论。确保将您的工作与更广泛的文献联系起来。确保您还提交了Python代码。

 

Topic: Input-Output Analysis

 

(50% of final grade, estimated time:  47 hours)

 

Aims and objectives

 

·       Critical understanding of environment-society interactions or input-output analysis

·       Ability to perform and interpret calculations using Python

·       Formulation of a research report

 

Submission deadline:  Wednesday, 5th May, 2 pm

 

 

Writing and referencing

 

A high standard of writing and critical analysis is expected for this assignment.  You are strongly encouraged to prepare an early draft of your report, have it reviewed by a fellow student, friend, or at one of the university’s writing workshops, and incorporate any edits prior to submission.

 

Students are expected to use the university’s version of the Harvard referencing style (and to reference rigorously!).  Guidance on how to include citations within text and how to reference different types of material using the Harvard style is provided.

 

Report structure

 

The 2000-word report should be structured like an academic paper. You are encouraged to follow this general structure:

1.     Introduction: should include aims and objectives, project structure, choice and justification of data selection, critical understanding of the wider literature (both directly relevant and background material for context).

2.     Methodology: should include a clear description of the methodology used, as well as a critical discussion of the strengths and limitations of the methodology.

3.     Results: should include a description of the results obtained (as well as relevant graphs, tables, and figures), a critical evaluation of the results obtained and an understanding of their uncertainties and limitations.

4.     Discussion and Conclusion: should include a critical interpretation of your results, both with respect to your specific objectives and the wider existing literature, and a synthesis of the main conclusions.

 

Supporting materials

As well as the 2000 report, students should email the relevant topic leader any supporting materials they used for processing their data. These can include, for example, data in .xlsx files, and Jupyter notebook (.ipynb) files.

 

Input-Output Analysis option

 

Assignment

In this assignment, you will write Python code to compile an Environmentally Extended Multiregional Input-Output (MRIO) database. You will use the WIOD database introduced in class to calculate the consumption-based account for a country of your choice (but not the UK). You will then create scenarios exploring how the consumption-based emissions might change for some point in the future based on real-world evidence that you have found. You can choose the future year because it may depend on the data and specific policies that you have found for your country.

 

1.     Compile an Environmentally Extended MRIO database with the WIOD database provided.

2.     Calculate the CO2 consumption-based account for your chosen country for the years 1995-2009. You may want to compare the consumption-based account with the production-based account.

3.     Use your MRIO database to investigate future scenario(s). Your scenarios can alter:

a.     Final demand. You could investigate how a future population might spend more in total (due to increases in population); buy more of some goods and less of other goods; and change where they buy their goods from

b.     Carbon intensity of production. Will some industries produce the same amount of output with fewer carbon emissions in the future?

4.     You will want to calculate several different future scenarios, each showing an alternative future carbon footprint. Try to base your futures on real-world evidence. Find examples of policies that may alter consumption behaviour or the efficiencies of industry. Does your country have a target for reducing emissions? You can use evidence from your country of choice or assume that your country might follow best practice policies from a similar country.

5.     Analyse and interpret your results

6.     Write up an individual report of your findings including a critical discussion of advantages and limitations of this approach/model and possible applications. Make sure you connect your work to the wider literature. Make sure you also submit your Python code.


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