Ethanol production in Brazil: empirical evidence based on persistence. Issue 4 (5th November 2018)
- Record Type:
- Journal Article
- Title:
- Ethanol production in Brazil: empirical evidence based on persistence. Issue 4 (5th November 2018)
- Main Title:
- Ethanol production in Brazil: empirical evidence based on persistence
- Authors:
- Barros, Carlos
Gil-Alana, Luis A.
Wanke, Peter - Abstract:
- Abstract : Purpose: This paper aims to investigate the production of sugar cane ethanol in Brazil for the time period 1983-2016, separating the data by geographical location. Design/methodology/approach: For this purpose, the authors use techniques based on the concept of fractional integration. Findings: The authors show that the data corresponding to the total production is highly persistent, with an integration order smaller than 1 but close to it. In fact, the unit root hypothesis cannot be rejected implying that shocks have a permanent nature, and thus requiring policy measures to recover the level from exogenous shocks. Separating the data into two sub-regions, namely, North–Northeast and Central–South, higher levels of persistence are detected in the latter, while the former presents some evidence of mean reverting behavior, implying that shocks will disappear by themselves in the long run in the former regions. These results are obtained from all the different methods used. Originality/value: The originality is based on the time series techniques used in the paper that departs from the classical methods based on unit roots and integer degrees of differentiation.
- Is Part Of:
- International journal of energy sector management. Volume 12:Issue 4(2018)
- Journal:
- International journal of energy sector management
- Issue:
- Volume 12:Issue 4(2018)
- Issue Display:
- Volume 12, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 12
- Issue:
- 4
- Issue Sort Value:
- 2018-0012-0004-0000
- Page Start:
- 566
- Page End:
- 580
- Publication Date:
- 2018-11-05
- Subjects:
- ARIMA -- Time series analysis -- Econometric -- Long memory -- Ethanol -- ARMA -- Brazil -- C22 – Time-series models < C2 – Econometric methods: Single equation models < C – Mathematical and quantitative methods
C22
Energy industries -- Management -- Periodicals
333.79068 - Journal URLs:
- http://www.emeraldinsight.com/info/journals/ijesm/ijesm.jsp ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/IJESM-05-2017-0004 ↗
- Languages:
- English
- ISSNs:
- 1750-6220
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.236500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8017.xml