arbiter
JournalsPricingAccount

Assessing Forestry's Carbon Sink Potential in Bulgaria: A Comparative Study under Different Carbon Pricing Scenarios

Lora Stoeva et al.

Economic Studies Journal2026https://doi.org/10.56497/esj260109article
ABDC C
Weight
0.50

What the paper says

The land sector plays a crucial role in achieving a climate-neutral economy. Various carbon farming initiatives are under development to incentivise the adoption of climate-friendly practices in forest management. The current study aims to quantify the economic benefits of the carbon sequestration of the forestry sector in Bulgaria, considering the carbon pricing development. The authors adapt a previously developed computable bio-economic model (FOX) to the Bulgarian context. Forest carbon sinking of the Bulgarian forestry sector is optimised with and without carbon pricing. We quantify the economic characteristics of the carbon sequestration supply curve within the forestry sector and estimate the additional potential for carbon sequestration in Bulgaria's forestry sector based on different carbon price signals.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.56497/esj260109

Or copy a formatted citation

@article{lora2026,
  title        = {{Assessing Forestry's Carbon Sink Potential in Bulgaria: A Comparative Study under Different Carbon Pricing Scenarios}},
  author       = {Lora Stoeva et al.},
  journal      = {Economic Studies Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.56497/esj260109},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Assessing Forestry's Carbon Sink Potential in Bulgaria: A Comparative Study under Different Carbon Pricing Scenarios

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.