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EnvironmentalEconomics — Academic Booklet Repository

This repository is an academic booklet collection for core methods in Environmental Economics: Cost–Benefit Analysis under Risk, Valuation of Ecosystem Services, Revealed Preference Methods (Hedonic Pricing, Travel Cost), and Biodiversity Valuation / Conservation Portfolio Choice (Noah’s Ark, Weitzman diversity).

Each booklet folder contains:

  • A PDF “booklet” (problem + worked solution / lecture note)
  • A fully runnable code file (R)
  • A short, professional README describing the method, assumptions, and outputs

Booklets (start here)

Cost–Benefit Analysis & Risk Assessment

  • 01 — Green Bond: 100-MW Onshore Wind CBA + Sensitivity + Monte Carlo
    • Folder: booklets/01-cba-risk-green-bond/
  • 02 — Mangrove Restoration (20,000 ha) CBA + Sensitivity + Monte Carlo
    • Folder: booklets/02-cba-risk-mangroves/

Revealed Preference Methods

  • 03 — Hedonic Price Method (semi-log interpretation, MWTP, capitalization, CI)
    • Folder: booklets/03-revealed-preference-hedonic/
  • 04 — Travel Cost Method (zonal demand, CS, Poisson sign-check, sensitivity)
    • Folder: booklets/04-revealed-preference-travel-cost/

Biodiversity Concepts & Valuation

  • 05 — Phylogenetic Diversity (PD) + Noah’s Ark Allocation
    • Folder: booklets/05-biodiversity-pd-noahs-ark/
  • 06 — Weitzman Diversity (MST from distance matrix) + Noah’s Ark
    • Folder: booklets/06-biodiversity-weitzman-mst/

How to run the code

All scripts are self-contained.

  1. Install R (≥ 4.2 recommended).
  2. Install required packages (most scripts use tidyverse + ggplot2):
    install.packages(c("dplyr","tidyr","purrr","ggplot2","scales","MASS"))

About

Academic repository of Environmental Economics booklets with reproducible R code, covering cost–benefit analysis under risk (sensitivity and Monte Carlo), ecosystem services valuation, revealed-preference methods (hedonic pricing and travel cost), and biodiversity valuation/portfolio choice (Noah’s Ark, phylogenetic and Weitzman diversity).

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