Next Article in Journal
The Sustainable Personality in Entrepreneurship: The Relationship between Big Six Personality, Entrepreneurial Self-Efficacy, and Entrepreneurial Intention in the Chinese Context
Previous Article in Journal
The Effect of Off-Farm Employment on Forestland Transfers in China: A Simultaneous-Equation Tobit Model Estimation
Previous Article in Special Issue
Participatory Sustainability Assessment for Sugarcane Expansion in Goiás, Brazil
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(9), 1648; doi:10.3390/su9091648

The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach

1
Department of Economics and Institute of Applied Regional Economics (IDEAR), Universidad Católica del Norte, Antofagasta 1240000, Chile
2
Department of Agricultural and Resource Economics, University of Connecticut, Storrs 06269, CT, USA
3
Department of Agricultural Economics, Universidad de Talca, Talca 3460000, Chile
4
Center for Socioeconomic Impact of Environmental Policies (CESIEP), Talca 3460000, Chile
*
Author to whom correspondence should be addressed.
Received: 23 June 2017 / Revised: 4 September 2017 / Accepted: 13 September 2017 / Published: 16 September 2017
(This article belongs to the Special Issue Sustainable Agricultural and Climate Change)
View Full-Text   |   Download PDF [307 KB, uploaded 18 September 2017]

Abstract

Adaptation to climate change is imperative to sustain and promote agricultural productivity growth, and site-specific empirical evidence is needed to facilitate policy making. Therefore, this study analyses the impact of climate change adaptation on productivity for annual crops in Central Chile using a stochastic production frontier approach. The data come from a random sample of 265 farms located in four municipalities with different agro-climatic conditions. To measure climate change adaptation, a set of 14 practices was used in three different specifications: binary variable, count and index; representing decision, intensity and quality of adaptation, respectively. The aforementioned alternative variables were used in three different stochastic production frontier models. Results suggest that the use of adaptive practices had a significant and positive effect on productivity; the practice with the highest impact on productivity was irrigation improvement. Empirical results demonstrate the relevance of climate change adaptation on farmers’ productivity and enrich the discussion regarding the need to implement adaptation measures. View Full-Text
Keywords: climate change; adaptation; agricultural systems; productivity; technical efficiency; Chile climate change; adaptation; agricultural systems; productivity; technical efficiency; Chile
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Roco, L.; Bravo-Ureta, B.; Engler, A.; Jara-Rojas, R. The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach. Sustainability 2017, 9, 1648.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top