Willingness to Pay for Sustainable Investment Attributes: A Mixed Logit Analysis of SDG 11

The present article analyzes the value that investors assign to financial products that contribute to Sustainable Development Goal 11 (SDG 11): “Sustainable Cities and Communities” by comparing investor preferences in Spain and Mexico through a choice experiment. Spain and Mexico were selected due to their contrasting levels of economic development, sustainability awareness, and regulatory maturity, offering a meaningful basis for a cross-country comparison. Preferences for investment funds that promote SDG 11 are examined by evaluating key attributes such as financial institution type, expected return, risk level, and explicit contribution to SDG 11. The results, estimated using a mixed logit model applied to a choice experiment with 568 respondents, evaluating attributes such as institution type, return, risk, and contribution to SDG 11, reveal strong risk aversion and a differentiated willingness to pay for sustainable attributes, particularly among Spanish investors. Relevant differences between the two countries emerge, suggesting the need for tailored strategies to foster sustainable investment, especially in Mexico, where sustainability is less valued in investment decisions. The policy implications include the need for investment approaches and communication strategies that are adapted to national contexts. This article concludes with recommendations for designing financial products that better align with the values and expectations of responsible investors, particularly regarding sustainable cities and communities.

Institutions

Publication Details

Journal
Mathematics
Published
2025-08-14
DOI
https://doi.org/10.3390/math13162601
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Willingness to Pay for Sustainable Investment Attributes: A Mixed Logit Analysis of SDG 11

1 citations
Mathematics
Geochemistry and Geologic Mapping
2.48
article

Willingness to Pay for Sustainable Investment Attributes: A Mixed Logit Analysis of SDG 11

article en
1 citations

Abstract

The present article analyzes the value that investors assign to financial products that contribute to Sustainable Development Goal 11 (SDG 11): “Sustainable Cities and Communities” by comparing investor preferences in Spain and Mexico through a choice experiment. Spain and Mexico were selected due to their contrasting levels of economic development, sustainability awareness, and regulatory maturity, offering a meaningful basis for a cross-country comparison. Preferences for investment funds that promote SDG 11 are examined by evaluating key attributes such as financial institution type, expected return, risk level, and explicit contribution to SDG 11. The results, estimated using a mixed logit model applied to a choice experiment with 568 respondents, evaluating attributes such as institution type, return, risk, and contribution to SDG 11, reveal strong risk aversion and a differentiated willingness to pay for sustainable attributes, particularly among Spanish investors. Relevant differences between the two countries emerge, suggesting the need for tailored strategies to foster sustainable investment, especially in Mexico, where sustainability is less valued in investment decisions. The policy implications include the need for investment approaches and communication strategies that are adapted to national contexts. This article concludes with recommendations for designing financial products that better align with the values and expectations of responsible investors, particularly regarding sustainable cities and communities.

MathematicsVol. 13(16)
Universidad de Extremadura (ES)
Sustainable cities and communities
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Willingness to Pay for Sustainable Investment Attributes: A Mixed Logit Analysis of SDG 11 · Mathematics (2025) | TGRS Research Map | TGRS