Keywords
Science and Technology Commissioner System
policy implementation
JEL: D91, O38, Q16
How to Cite
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Number of downloads: 6
Abstract
The Science and Technology Commissioners System (STCS) is an important measure implemented in China to address the bottleneck in rural talent and the underdevelopment of science and technology. This article explores the implementation of the system in rural areas of China, focusing on the behavioural economic perspective of cognitive and behavioural biases in different participants’ decision-making. Shenyang, as a representative base of agricultural production in China, has taken multiple measures to facilitate the implementation of the system. Field interviews revealed that the core challenges in implementing the STCS stem from cognitive biases and from inadequate promotion of behavioural change. These factors contribute to policy rigidity, mismatched service supply and demand, low farmer acceptance, and ineffective supervision and evaluation. Under the framework of nudge theory, this study provides an extensive comparative analysis of international systems, and proposes establishing a ‘Shenyang Science and Technology Commissioners Service Cloud Platform’ and setting up a ‘comprehensive, multi-stakeholder and dynamic’ performance evaluation model.
Funding
This work was supported by the Science and Technology Strategy Research Project of Liaoning Province, China (grant no. 2024JH4/10200008).
References
Ahmadpour, A., Mirdamadi, S. M, & Soltani, S. (2016). Attitude towards on-the-job e-learning: The case of agricultural extension workers in Iran. Journal of Agricultural Science & Technology, 18(1), 27–38. http://jast.modares.ac.ir/article-23-4238-en.html
Ates, H., & Cakal, Z. G. (2014). Views of extension personnel on extension methods and transition to private extension: The case of Isparta province. Journal of Agricultural Science & Technology,
16(16), 1529–1541.
Ayris, K., Dixon, E., Mauchline, A., & Rose, D. C. (2023). Investigating stakeholder participation in UK agricultural robotics development. In Proceedings of the First International Symposium on Trustworthy Autonomous Systems (pp. 1–5). DOI: https://doi.org/10.1145/3597512.3597531
Battaglio Jr, R. P., Belardinelli, P., Bellé, N., & Cantarelli, P. (2019). Behavioral public administration ad fontes: A synthesis of research on bounded rationality, cognitive biases, and nudging in public organizations. Public Administration Review, 79(3), 304–320. DOI: https://doi.org/10.1111/puar.12994
Cai, X. P. (2020). Talents sink and villages prosper-institutional innovation of science and technology commissioners in rural revitalization. Chinese Talents, 6, 7–9. (in Chinese)
Cao, X. Q, Xing, H. Q, Chen, M. Q., Wei, X. (2024). Development and suggestions of agricultural science and technology innovation policy in China – An empirical analysis based on Germany, the United States and Japan. Research on Science and Technology Management, 44(22), 37–46. (in Chinese)
Chen, T. J., Ren, Y. F., & Ke, X. H. (2020). Comparison of agricultural science and technology innovation system in Europe and America and enlightenments to China. Journal of Agricultural Science and Technology, 22(11), 1–10.
Cofré-Bravo, G., Klerkx, L., & Engler, A. (2019). Combinations of bonding, bridging, and linking social capital for farm innovation: How farmers configure different support networks. Journal of Rural Studies, 69, 53–64. DOI: https://doi.org/10.1016/j.jrurstud.2019.04.004
Dessart, F. J., Barreiro-Hurlé, J., & Van Bavel, R. (2019). Behavioral factors affecting the adoption of sustainable farming practices: A policy-oriented review. European Review of Agricultural Economics, 46(3), 417–471. DOI: https://doi.org/10.1093/erae/jbz019
Ding, L. K. (2022). Probe into the nudge governance model of grassroots government. Leadership Science, (04), 96–100. (in Chinese).
Emeana, E. M., Trenchard, L., Dehnen-Schmutz, K., & Shaikh, S. (2019). Evaluating the role of public agricultural extension and advisory services in promoting agro-ecology transition in Southeast Nigeria. Agroecology and Sustainable Food Systems, 43(2), 123–144. DOI: https://doi.org/10.1080/21683565.2018.1509410
Halpern, D. (2018). Nudge: How small actions promote great change (practical ed.; B. Liang, F. Yu & C. Pan, trans.). CITIC Publishing House. (in Chinese)
Howley, P., & Ocean, N. (2022). Can nudging only get you so far? Testing for nudge combination effects. European Review of Agricultural Economics, 49(5), 1086–1112. DOI: https://doi.org/10.1093/erae/jbab041
Huang, Z. B., & Liu, L. (2020). Push intervention is not widely used in China because of behavioral economics analysis. Public Management and Policy Review, 9(02), 55–68.
Jia, C., & Mustafa, H. (2023). A bibliometric analysis and review of nudge research using VOS viewer. Behavioral Sciences, 13(1), 19. DOI: https://doi.org/10.3390/bs13010019
Jiang, J., & Liu, Y. G. (2019). Practice and innovation of China’s Science and Technology Commissioners System: Taking Zhejiang Province as an example. Scientific Management Research, 37(02), 89–92.
Kassem, H. S., Alotaibi, B. A., Muddassir, M., & Herab, A. (2021). Factors influencing farmers’ satisfaction with the quality of agricultural extension services. Evaluation and Program Planning, 85. DOI: https://doi.org/10.1016/j.evalprogplan.2021.101912
Kishioka, T., Hashimoto, S., Nishi, M., Saito, O., & Kohsaka, R. (2017). Fostering cooperation between farmers and public and private actors to expand environmentally friendly rice cultivation: intermediary functions and farmers’ perspectives. International Journal of Agricultural Sustainability, 15(5), 593–612. DOI: https://doi.org/10.1080/14735903.2017.1374321
Lastra-Bravo X.B., Hubbard C., Garrod, G., & Tolón-Becerra, A. (2015). What drives farmers’ participation in EU agri-environmental schemes? Results from a qualitative meta-analysis. Environmental Science and Policy, 54, 1–9. DOI: https://doi.org/10.1016/j.envsci.2015.06.002
Li, L. Y., & Wang, Z. (2024). The 2024 National Conference on Empowering Rural Revitalization and Development by Science and Technology Commissioners was held in Beijing. China Rural Network. http://www.farmer.com.cn/2024/08/29/9993327.html. 2024-08-29
Magruder, J. R. (2018). An assessment of experimental evidence on agricultural technology adoption in developing countries. Annual Review of Resource Economics, 10(1), 299–316. DOI: https://doi.org/10.1146/annurev-resource-100517-023202
Makate, C., & Makate, M. (2019). Interceding role of institutional extension services on the livelihood impacts of drought tolerant maize technology adoption in Zimbabwe. Technology in Society, 56, 126–133. DOI: https://doi.org/10.1016/j.techsoc.2018.09.011
Mills, J., Gaskell, P., Ingram, J., & Chaplin, S. (2018). Understanding farmers’ motivations for providing unsubsidised environmental benefits. Land Use Policy, 76, 697–707. DOI: https://doi.org/10.1016/j.landusepol.2018.02.053
Moseley, A., & Thomann, E. (2021). A behavioral model of heuristics and biases in frontline policy implementation. Policy & Politics, 49(1), 49–67. DOI: https://doi.org/10.1332/030557320X15967973532891
Movahedi, R., & Ghanbari, S. (2014). Investigating the relationship between university education and agricultural students’ entrepreneurial spirit. International Journal of Agricultural Science Research & Technology in Extension & Education Systems, 7(3), 23–29. https://journals.iau.ir/article_517351.html
Norton, G. W., & Alwang, J. (2020). Changes in agricultural extension and implications for farmer adoption of new practices. Applied Economic Perspectives and Policy, 42(1), 8–20. DOI: https://doi.org/10.1002/aepp.13008
Prokopy, L. S., Floress, K., Arbuckle, J. G., Church, S. P., Eanes, F. R., Gao, Y., Gramig, B. M., Ranjan, P., & Singh, A. S. (2019). Adoption of agricultural conservation practices in the United States: Evidence from 35 years of quantitative literature. Journal of Soil and Water Conservation, 74(5), 520–534. DOI: https://doi.org/10.2489/jswc.74.5.520
Ringling, K. M., & Marquart, L. F. (2020). Intersection of diet, health, and environment: Land grant universities’ role in creating platforms for sustainable food systems. Frontiers in Sustainable Food Systems, 4, 70. DOI: https://doi.org/10.3389/fsufs.2020.00070
Takahashi, K., Muraoka, R., & Otsuka, K. (2020). Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature. Agricultural Economics, 51(1), 31–45. DOI: https://doi.org/10.1111/agec.12539
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
Thaler, R. H., & Sunstein, C. R. (2023). Nudge: How to make better decisions about health, wealth and environment (ultimate edition; Z. Jiang, trans.). CITIC Publishing House. (in Chinese)
Xiao, Z. Y., & Ye, J. T. (2020). The pulse and outlook of research on science and technology special agent system: An analysis based on CiteSpace. Science Management Research, 38(01), 27–34.
Xu, S. W. (2013). Research and inspiration on the analysis and early warning work of agricultural products in the United States. China Agricultural Information, (22), 3–7.
Zeng, Y. S., & Zhao, J. J. (2009). A breakthrough institutional innovation: Research report on China’s System of Rural Science and Technology Commissioners. Rural Science and Technology, 6, 60–63. (in Chinese)
Zhu, Z. Y., & Jin, J. B. (2023). Innovative agricultural science and technology extension mode: Analysis of Science and Technology Commissioners System from the perspective of scientific capital: Taking the practice of science and technology commissioners in the Nanping fungus and grass industry as an example. Popular Science Research, 18(06), 60–69.
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