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Value

Type

Buyer

Notice

CLOSED

31 Jan

£500k

Estimated

Closed

Greater Manchester Combined Authority - GMP

Lift Maintenance Services

Repair & maintenance· Published 20 Dec

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ClosedCF · 9c0794c0c8f1

Testing Object-Oriented Nudges for Regulatory Compliance in Environmental Land

DEPARTMENT FOR ENVIRONMENT, FOOD AND RURAL AFFAIRS

Status

Withdrawn

Estimated

—

Published

29 May 2025

Key facts

Notice ID: cf-e911e516-d7b7-4159-9ad1-9c0794c0c8f1
CPV code: 79315000 · Business services
Source: Contracts Finder

Timeline

Published
29 May 2025

Description

This experiment is part of our Choice Architecture Test (CAT) series. We have already conducted two tests, CAT 1 and CAT 2, with a third (CAT 3) and fourth (CAT 4) in progress. This will be our fifth test (CAT 5). • CAT 1: tested the effect of defaults on a hypothetical Sustainable Farming Incentive (SFI) application. Results showed a statistically significant increase in the environmental quality of the agreement generated through defaults compared to the current SFI application design. • CAT 2: tested the effect of defaults and guided selection on a hypothetical Countryside Stewardship (CS) mid-tier application. Results for CAT 2 also showed defaults being effective. Compared to the current CS mid-tier design & some aspects of guided selection tested during the experiment, defaults led to more spatially targeted actions being chosen (the primary outcome of the experiment) by farmers, that might indicate higher quality environmental agreements . • CAT 3: will test the effect of geospatial functionality (i.e. presenting guidance on spatial priorities visually) & offering a default totaliser (that shows the potential financial reward for choosing options) on a hypothetical SFI application. Similar to CAT 1, statistical analysis will be conducted to gauge whether results show an improvement in the environmental quality of the agreement compared to the current SFI application design. • CAT 4: will test the effect of offering defaults with farmers who find it difficult to access and use digital tools and services, (i.e. those with low 'digital literacy'), to assess whether findings from CAT 1 & CAT 2 are consistent for these farmers, as well as their more digitally adept counterparts.