Sustainability Funds Hardly Direct Capital Towards Sustainability

Page 57

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Table 8: Results of t-tests comparing conventional funds and the conventional benchmarks of the sustainability funds ESG Impact [A+; D-] Carbon intensity resp. [1; 0] (tCO2eq / mUSD revenue)

Critical activities (% revenue)

Major environmental controversies (% involvement)

p-value

0.459, not sign.

0.871, not. sign.

0.370, not. sign.

0.358, not sign.

Ø conventional funds

0.48

1061

14%

1.2%

Ø benchmarks

0.46

1090

16%

1.8%

* significant at 0.05-level, ** significant at 0.01-level, *** significant at 0.001-level Source: Inrate ESG Impact data as of October 2020 and Climate Impact data as of October 2020.

Table 9: Results of t-tests comparing the percentage of critical activities in conventional funds and the conventional benchmarks of the sustainability funds Agriculture & fishing

Mining & metal production

Fossil fuels

Cement production

Transportation

Defence

Nuclear energy

Genetic engineering

0.213, not sign.

0.936, not sign.

0.652, not sign.

0.581, not sign.

0.209, not sign.

0.192, not sign.

0.245, not sign.

0.906, not sign.

Ø conventional funds

1.5%

1.5%

6.4%

0.3%

3.2%

0.7%

0.4%

1.8%

Ø conventional benchmarks

1.0%

1.5%

7.1%

0.3%

4.8%

1.0%

0.6%

1.9%

p-value

* significant at 0.05-level, ** significant at 0.01-level, *** significant at 0.001-level Source: Inrate ESG Impact data as of October 2020.

4.3. Regression: effects of sustainability approaches on the funds’ portfolio impact We investigated the effects of seven sustainability approaches (best-in-class, engagement, ESG integration, exclusion, impact investment, positive selection, thematic sustainability approach) on the portfolio impact of sustainability funds, compared to the portfolio impact of conventional funds. The impact was measured with the four dependent impact variables (see chapter 3.2.2). This way we could examine if the application of a sustainability approach effectively enhanced the sustainability impact of a portfolio. As a control, we included the regional investment focus, the benchmark type, portfolio concentration and tracking error in the regression models. Amongst the sustainability approaches, positive selection and thematic sustainability approaches each significantly improved one of the dependent impact variables (Table 10):

INFRAS | 3 May 2021 | Summary


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Articles inside

A.2 Inrate Climate Impact

3min
pages 94-96

Tables

0
page 104

Literature

7min
pages 105-110

B. Further Evaluations

3min
pages 97-102

7.3. Recommendations

5min
pages 85-87

Figures

1min
page 103

7.2. Current regulations point into the right direction but have major shortcomings

6min
pages 82-84

6.2. Asset management effect present, but of limited relevance

4min
pages 73-74

6.1. Capital allocation effect hardly existent

2min
page 72

6. Discussion of Results

1min
page 71

5.2. Current regulatory changes supporting effective capital allocation

6min
pages 68-70

5.1. General prerequisites for effective capital allocation

11min
pages 62-67

4.3. Regression: effects of sustainability approaches on the funds’ portfolio impact

2min
pages 57-58

4.4. Case studies

3min
pages 59-60

4.1. Overview

1min
page 50

5. Framework Conditions for Effective Capital Allocation

1min
page 61

4.2. Comparisons

6min
pages 51-56

4. Empirical Results

2min
page 49

3.4. Limits of this analysis

7min
pages 46-48

3.2. Data set

18min
pages 34-44

1. Aim and Scope of the Study

1min
page 19

2.2. How investments can contribute to sustainability

9min
pages 22-26

Interpretation: Possible causes

5min
pages 11-13

Results of the empirical analysis

3min
pages 9-10

2.3. How to assess capital allocation contributions to sustainability

6min
pages 27-29

Scope of the empirical analysis

4min
pages 6-8

Conclusions and consequences

2min
page 14
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