Research on the Supply Network of Camellia Oil in Anhui Province

Research Article
Open access

Research on the Supply Network of Camellia Oil in Anhui Province

Xuan Hu 1*
  • 1 Beijing University of Technology    
  • *corresponding author 402137751@qq.com
Published on 13 September 2023 | https://doi.org/10.54254/2754-1169/18/20230071
AEMPS Vol.18
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-915371-79-9
ISBN (Online): 978-1-915371-80-5

Abstract

Tea oil is becoming more and more popular in China. Based on a field investigation, this paper analyzes the supply network of Camellia oil in the local markets of Anhui. It is found that there are 3 network models of Camellia oil supply. The towns or counties with only one factory and sufficient Camellia seeds have the lowest risk and the best chance in oil supply. The towns or counties with just one factory and just enough Camellia seeds are at the greatest risk and have the least chance in oil supply. The towns or counties with two factories and Camellia seeds that can only supply one factory have a moderate risk and the tied best chance of oil supply. The network's primary limiting factor is the availability of Camellia seeds. The probability of the supply network can be considerably increased and the risk can be greatly decreased with more factories and sufficient Camellia seeds.

Keywords:

supply network, Camellia oil, probability, fragility

Hu,X. (2023). Research on the Supply Network of Camellia Oil in Anhui Province. Advances in Economics, Management and Political Sciences,18,193-198.
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References

[1]. Tang, B., Yan, J., Cao, Y., Liu, Y.: Climatic change and drought-flood regional responses in Anhui, Acta Scientia Naturalium Universitis Sunyatseni 55(5), 127-134 (2016).

[2]. Elliott, M., Co-Pierre, G., Jonathon, H.: Systemic risk shifting in financial networks. Journal of Economic Theory 191, 105157 (2021).

[3]. Elliott, M., Benjamin, G.: Networks and economic fragility. Annual Review of Economics 4, 665-696 (2022).

[4]. Kremer, M.: The O-ring theory of economic development. The Quarterly Journal of Economics 108(3), 551-575 (1993).

[5]. 5.Jarrow, R. A., Yu, F.: Counterparty risk and the pricing of defaultable securities. The Journal of Finance 56(05), 1765-1799 (2001).

[6]. 6.Christopher, S.: Perspectives in supply chain risk management. International Journal of Production Economics 103(2), 451-488 (2006).

[7]. Wuttke, D., Blome, C., Heese, H. S., Protopappa-Sieke, M.: Supply chain finance: Optimal introduction and adoption decisions. International Journal of Production Economics 178, 72-81 (2016).

[8]. Yuan, P.: The Application of O-ring theory in economic management and social life. Modern Business Trade Industry 3, 22-24 (2013).

[9]. Li, Y., Peter, F.: O-Ring production on U.S. hog farms: joint choices of farm size, technology, and compensation. Agricultural Economics 45, 431-442 (2014).

[10]. Szymanski, S., Wilkinson, G.: Testing the O-Ring theory using data from the English Premier League. Research in Economics 70(3), 468-481 (2016).

Cite this article

Hu,X. (2023). Research on the Supply Network of Camellia Oil in Anhui Province. Advances in Economics, Management and Political Sciences,18,193-198.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Management Research and Economic Development

ISBN：978-1-915371-79-9(Print) / 978-1-915371-80-5(Online)
Editor：Canh Thien Dang, Javier Cifuentes-Faura
Conference website: https://2023.icmred.org/
Conference date: 28 April 2023
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.18
ISSN：2754-1169(Print) / 2754-1177(Online)

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References

[1]. Tang, B., Yan, J., Cao, Y., Liu, Y.: Climatic change and drought-flood regional responses in Anhui, Acta Scientia Naturalium Universitis Sunyatseni 55(5), 127-134 (2016).

[2]. Elliott, M., Co-Pierre, G., Jonathon, H.: Systemic risk shifting in financial networks. Journal of Economic Theory 191, 105157 (2021).

[3]. Elliott, M., Benjamin, G.: Networks and economic fragility. Annual Review of Economics 4, 665-696 (2022).

[4]. Kremer, M.: The O-ring theory of economic development. The Quarterly Journal of Economics 108(3), 551-575 (1993).

[5]. 5.Jarrow, R. A., Yu, F.: Counterparty risk and the pricing of defaultable securities. The Journal of Finance 56(05), 1765-1799 (2001).

[6]. 6.Christopher, S.: Perspectives in supply chain risk management. International Journal of Production Economics 103(2), 451-488 (2006).

[7]. Wuttke, D., Blome, C., Heese, H. S., Protopappa-Sieke, M.: Supply chain finance: Optimal introduction and adoption decisions. International Journal of Production Economics 178, 72-81 (2016).

[8]. Yuan, P.: The Application of O-ring theory in economic management and social life. Modern Business Trade Industry 3, 22-24 (2013).

[9]. Li, Y., Peter, F.: O-Ring production on U.S. hog farms: joint choices of farm size, technology, and compensation. Agricultural Economics 45, 431-442 (2014).

[10]. Szymanski, S., Wilkinson, G.: Testing the O-Ring theory using data from the English Premier League. Research in Economics 70(3), 468-481 (2016).

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