Asking chatgpt to derive a research proposal based on an academic article: a Housing Studies example 2. [Housing Studies-related]

Asking chatgpt to derive a research proposal based on an academic article: a Housing Studies example 2. [Housing Studies-related]

The following is a record of my request to chatgpt to derive a research proposal based on an academic article: a Housing Studies example 1. The name of the article is: "Affordable homeownership after the crisis: England as a demonstration project".

My question is: "Please derive a research proposal from the attached article, indicating the proposal title, the research background, its research objectives, an overall research methodology, some concepts and theories to use from the preliminary literature review. Tks."

The reply from chatgpt is : "Research Proposal Title

Exploring the Viability of Affordable Home Ownership Models Post-Financial Crisis: Lessons from England

Research Background

The global financial crisis of 2007-2008 significantly impacted housing markets, particularly in England, where traditional home ownership became increasingly unattainable for many households. This crisis led to a renewed interest in affordable home ownership (AHO) models, such as shared equity and shared ownership, which aim to bridge the gap between full ownership and rental options. Given the evolving economic landscape, it is crucial to investigate the effectiveness and sustainability of these models in promoting home ownership among lower- to middle-income households.

Research Objectives

To critically analyze the impact of the financial crisis on affordable home ownership models in England.

To assess the effectiveness of shared equity and shared ownership schemes in improving access to home ownership.

To identify the barriers and facilitators affecting the uptake of affordable home ownership products.

To propose recommendations for policymakers to enhance the accessibility and sustainability of AHO models.

Research Questions

How did the financial crisis alter the landscape of affordable home ownership in England?

What are the key factors influencing the success or failure of shared equity and shared ownership models?

How do current AHO schemes address the needs of households facing affordability challenges?

What lessons can be drawn from England's experience with AHO models for other countries facing similar issues?

Overall Research Methodology

This research will adopt a mixed-methods approach, combining quantitative and qualitative methods to provide a comprehensive analysis of affordable home ownership models.

Quantitative Analysis:

Use secondary data from government reports, housing associations, and financial institutions to analyze trends in home ownership rates, uptake of AHO models, and demographic shifts post-crisis.

Conduct surveys with stakeholders, including potential homeowners, housing associations, and policymakers, to gather quantitative data on perceptions and experiences regarding AHO schemes.

Qualitative Analysis:

Conduct semi-structured interviews with key stakeholders (e.g., housing developers, policymakers, and representatives from housing associations) to gain insights into the challenges and opportunities associated with AHO models.

Perform case studies of successful and unsuccessful AHO projects in England to identify best practices and lessons learned.

Concepts and Theories from Preliminary Literature Review

Housing Affordability: Theories related to the affordability crisis, including the relationship between income, housing prices, and accessibility to home ownership.

Risk Sharing: Explore concepts of risk sharing in financial products and how these can be applied to shared ownership and equity models.

Market Dynamics: Investigate theories of market behavior and how economic fluctuations impact housing demand and supply, particularly for affordable housing.

Policy Frameworks: Review existing housing policies that have influenced the development and implementation of AHO models, including the role of government subsidies and interventions.

This research aims to contribute to the discourse on affordable housing by providing evidence-based recommendations that can inform policy development and improve access to home ownership in the post-crisis context."

Reference: a collection of blog notes on using chatgpt for research purpose.