Peasants’ Calculation Capacities and Measurement Behaviors in Rural Agricultural Markets of China and Cote d’Ivoire: Implications for Technology Adoption and Rural Development
Lacina Traore,
Deyi Zhou,
N’banan Ouattara,
Lili Zhang,
Kidane Assefa Abebe,
Li Teng and
Muhammad Rizwan
Additional contact information
Lacina Traore: College of Economics and Management, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, China
Deyi Zhou: College of Economics and Management, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, China
N’banan Ouattara: College of Economics and Management, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, China
Lili Zhang: Foreign Economic Cooperation Centre, Ministry of Agriculture and Rural Affairs, Beijing 100125, China
Kidane Assefa Abebe: College of Economics and Management, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, China
Li Teng: College of Economics and Management, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, China
Muhammad Rizwan: School of Economics & Management, Yangtze University, Jingzhou 434023, China
Sustainability, 2019, vol. 11, issue 18, 1-16
Abstract:
Peasants’ calculation capacities (PCC) and measurement behaviors can enable the development of knowledge economy and technological exchanges. This study is based on critical observations made by analysis of Chinese and Ivorian rural markets to understand measurement system as a foundation of development of economic knowledge, science, and technology. A total of 167 rural people from China and Cote d’Ivoire were interviewed using a simple random sampling method through valid and reliable means. Using the univariate statistics, we summarized the data to statistically describe Chinese and Ivorian rural traders. The multiple linear regression model was used to examine the impact of different explanatory variables on peasants’ calculating capacities. From the independent two samples t -test, we statistically examined the difference between the calculation capacities of Chinese and Ivorian rural traders. Analysis of the data from China and Cote d’Ivoire showed that 76% of Chinese rural traders were using traditional or modern weighing balance compared to only 24% in Cote d’Ivoire. Modern or traditional weighing balance was popular only with traders or wholesalers dealing with bulk commodities, or traders with expensive products in the case of Cote d’Ivoire. Our findings also depict that the calculation capacities of Chinese rural traders are higher than Ivorian ( p -value < 0.001). Experience was found to be the most effective factors for the estimation of PCC among Chinese and Ivorian rural traders. Together, these results significantly expand the knowledge, economy, and technology adoption issues in the context of China and Cote d’Ivoire. Thus, our analyses provide useful insights for policymakers, rural traders, advisers, for decision making and agricultural extension services in these two countries, particularly for China–Africa cooperation.
Keywords: China; Cote d’Ivoire; measurement behavior; PCC; rural traders; knowledge economy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/11/18/5035/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/18/5035/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:18:p:5035-:d:267263
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().