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Record W2903366795 · doi:10.1017/s0030605318000194

Do financial incentives motivate conservation on private land?

2018· article· en· W2903366795 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOryx · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsQuest University Canada
FundersUniversity of Tasmania
KeywordsIncentiveBusinessPublic economicsAutonomyIncentive programPaymentFinanceEconomicsPolitical scienceMicroeconomics

Abstract

fetched live from OpenAlex

Abstract Financial incentives may aid in conservation if they broaden the numbers and types of landowners who engage in protection and conservation management on private land. We examined the hypotheses that financial incentives (1) encourage participation of people with lower autonomous motivation towards conservation and lower self-transcendence (i.e. benevolence and universalism) values compared to participants in similar programmes without such incentives; (2) enable more on-ground works and activities; and (3) enhance feelings of competence and autonomy with respect to conservation actions. We surveyed 193 landowners in private land conservation programmes in Tasmania, only some of whom had received financial incentives. All of these landowners had high self-transcendence values, and autonomous motivation towards the environment. Owners of large properties and participants with higher self-enhancement values, lower self-transcendence values and lower autonomous motivation towards the environment were slightly more likely to engage in incentive programmes. However, people who received funding did not report more conservation actions than people in programmes without incentives. Owners of larger properties receiving incentives reported fewer conservation actions. Thus financial incentives probably recruited a few into nature conservation who may not have otherwise engaged, but did not result in a more intensive level of conservation management. Our results caution against the blanket-use of incentives amongst landowners who may already have values and motivations consistent with environmental action, and point to the need for further research on the socio-psychological characteristics of landowners, to examine the contextual factors that influence the effects of conservation payments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.243
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it