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Chinese producer behavior: Aquaculture farmers in southern China

Authors :
H. Holly Wang
Laping Wu
Nicole Olynk Widmar
David L. Ortega
Source :
China Economic Review. 28:17-24
Publication Year :
2014
Publisher :
Elsevier BV, 2014.

Abstract

The increasing share of imported food in developed countries, such as the U.S. and European Union countries, poses new challenges for food safety and quality regulators. China as the world's biggest food producer has the fastest growing share of fish and shellfish exports to these countries. While there have been an increasing number of studies conducted on consumer demand for various food product attributes, little research has been focused on producer behavior, and studies on Chinese food producers are especially absent in the literature. The objective of this study is to assess Chinese aquaculture producers' willingness-to-change (WTC) and adopt certain production practices related to food safety. Producer preferences for enhanced food safety measures, and sustainable/eco-friendly production practices are assessed using a choice experiment. Primary data was collected in the leading aquaculture producing provinces of southern China. The average net income per farmer of our sample was 81,286 RMB/year of which approximately 72% originated from their aquaculture operation. Derived WTC estimates from a random parameters logit model suggest that the representative Chinese producer would require a 2.49% premium per jin of fish to adopt enhanced food safety practices such as those required for China GAP, and No Public Harm voluntary certifications and they would accept a 3.22% discount before being indifferent between having an antibiotic-free facility and using antibiotics. WTC estimates of sustainable eco-friendly practices and verification by various entities were also assessed. A latent class model (LCM) is used to segregate producers into group with similar underlying characteristics to develop policies to improve producer practices and ultimately product safety and quality.

Details

ISSN :
1043951X
Volume :
28
Database :
OpenAIRE
Journal :
China Economic Review
Accession number :
edsair.doi...........d617f5df8203fc72c05b1f6175a01d98
Full Text :
https://doi.org/10.1016/j.chieco.2013.11.001