Abstract
Recent literature has argued that environmental efficiency (EE), which is built on the materials balance (MB) principle, is more suitable than other EE measures in situations where the law of mass conversation regulates production processes. In addition, the MB-based EE method is particularly useful in analysing possible trade-offs between cost and environmental performance. Identifying determinants of MB-based EE can provide useful information to decision makers but there are very few empirical investigations into this issue. This article proposes the use of data envelopment analysis and stochastic frontier analysis techniques to analyse variation in MB-based EE. Specifically, the article develops a stochastic nutrient frontier and nutrient inefficiency model to analyse determinants of MB-based EE. The empirical study applies both techniques to investigate MB-based EE of 96 rice farms in South Korea. The size of land, fertiliser consumption intensity, cost allocative efficiency, and the share of owned land out of total land are found to be correlated with MB-based EE. The results confirm the presence of a trade-off between MB-based EE and cost allocative efficiency and this finding, favouring policy interventions to help farms simultaneously achieve cost efficiency and MP-based EE.
| Original language | English |
|---|---|
| Pages (from-to) | 37-46 |
| Number of pages | 10 |
| Journal | Ecological economics |
| Volume | 86 |
| Early online date | 3 Dec 2012 |
| DOIs | |
| Publication status | Published - Feb 2013 |
| Externally published | Yes |
UN Sustainable Development Goals (SDGs)
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
Keywords
- Environmental efficiency
- Materials balance
- Nutrient efficiency
- Nutrient stochastic frontier
- Single-bootstrap truncated regression
ASJC Scopus subject areas
- General Environmental Science
- Economics and Econometrics
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