IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i2p160-d494025.html
   My bibliography  Save this article

Modeling and Simulation of Dissemination of Cultivated Land Protection Policies in China

Author

Listed:
  • Xinhai Lu

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
    College of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Yanwei Zhang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Handong Tang

    (School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang 330032, China)

Abstract

Cultivated land protection is the top priority of the national economy in China and the livelihood of people. Cultivated land protection policies (CLPP) play an important role in the protection of cultivated land. However, the process of dissemination of CLPP on social networks of farmers has problems, such as distortion of policy content, single dissemination channels, low level of farmers’ knowledge, and low dissemination efficiency. For revealing the characteristics of the dissemination of CLPP in the farmers’ social networks (FSN), this study combines the Suspected–Exposed–Infected–Recovered–Suspected (SEIRS) epidemic model to construct a model of CLPP dissemination suitable for FSN. In addition, a numerical simulation of the dissemination process of CLPP is conducted on the FSN, and the influence of the structural characteristics of the FSN and different model parameters on the dissemination of CLPP is analyzed. Results show that (1) the dissemination rate between farmers in FSN has a significant impact on the scale and speed of CLPP. A greater initial dissemination rate corresponds to faster speed and larger scale of CLPP dissemination. (2) A greater node degree in FSN means stronger dissemination ability for CLPP. Therefore, identifying structural holes (opinion leaders) in FSN can effectively promote the dissemination of CLPP. (3) The SEIRS model can dynamically describe the evolution law of CLPP dissemination process over time through the four states of farmer nodes of suspected, exposed, infected, and recovered. Numerical simulation results show that the immune degradation rate is proportional to CLPP. However, the direct immunization rate is inversely proportional. The increase in immune degradation rate can reduce the number of recovered farmers and improve the efficiency of CLPP dissemination. On the basis of the abovementioned conclusions, this study draws policy recommendations to increase the scale and speed of CLPP dissemination in China.

Suggested Citation

  • Xinhai Lu & Yanwei Zhang & Handong Tang, 2021. "Modeling and Simulation of Dissemination of Cultivated Land Protection Policies in China," Land, MDPI, vol. 10(2), pages 1-21, February.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:160-:d:494025
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/2/160/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/2/160/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu, Zhenning & Yao, Lan & Wu, Mengya, 2020. "Farmers’ attitude towards the policy of remediation during fallow in soil fertility declining and heavy metal polluted area of China," Land Use Policy, Elsevier, vol. 97(C).
    2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    3. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Zhu, Linhe & Zhou, Xiao & Li, Yimin, 2019. "Global dynamics analysis and control of a rumor spreading model in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    5. repec:dau:papers:123456789/11412 is not listed on IDEAS
    6. Alvin D. Sokolow, 2010. "Federal Policy for Preserving Farmland: The Farm and Ranch Lands Protection Program," Publius: The Journal of Federalism, CSF Associates Inc., vol. 40(2), pages 235-256, Spring.
    7. Hualin Xie & Yanwei Zhang & Yongrok Choi, 2018. "Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
    8. Jiang, Guanghui & Wang, Mingzhu & Qu, Yanbo & Zhou, Dingyang & Ma, Wenqiu, 2020. "Towards cultivated land multifunction assessment in China: Applying the “influencing factors-functions-products-demands” integrated framework," Land Use Policy, Elsevier, vol. 99(C).
    9. Travis J. Grosser & David Obstfeld & Emily W. Choi & Meredith Woehler & Virginie Lopez-Kidwell & Giuseppe (Joe) Labianca & Stephen P. Borgatti, 2018. "A Sociopolitical Perspective on Employee Innovativeness and Job Performance: The Role of Political Skill and Network Structure," Organization Science, INFORMS, vol. 29(4), pages 612-632, August.
    10. Mao, Guoyong & Zhang, Ning, 2017. "Fast approximation of average shortest path length of directed BA networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 243-248.
    11. Zhao, Danling & Sun, Jianbin & Tan, Yuejin & Wu, Jianhong & Dou, Yajie, 2018. "An extended SEIR model considering homepage effect for the information propagation of online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1019-1031.
    12. Yanwei Zhang & Hualin Xie, 2019. "Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation," Land, MDPI, vol. 8(11), pages 1-41, November.
    13. Fu, Minglei & Feng, Jun & Lande, Dmytro & Dmytrenko, Oleh & Manko, Dmytro & Prakapovich, Ryhor, 2021. "Dynamic model with super spreaders and lurker users for preferential information propagation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    14. Lopez, Rigoberto A. & He, Xi & De Falcis, Eleonora, 2017. "What Drives China’s New Agricultural Subsidies?," World Development, Elsevier, vol. 93(C), pages 279-292.
    15. Wang, Ying & Bilsborrow, Richard E. & Zhang, Qi & Li, Jiangfeng & Song, Conghe, 2019. "Effects of payment for ecosystem services and agricultural subsidy programs on rural household land use decisions in China: Synergy or trade-off?," Land Use Policy, Elsevier, vol. 81(C), pages 785-801.
    16. Bruning, Patrick F. & Alge, Bradley J. & Lin, Hsin-Chen, 2020. "Social networks and social media: Understanding and managing influence vulnerability in a connected society," Business Horizons, Elsevier, vol. 63(6), pages 749-761.
    17. He, Sha & Tang, Sanyi & Wang, Weiming, 2019. "A stochastic SIS model driven by random diffusion of air pollutants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    18. Zhu, Linhe & Liu, Mengxue & Li, Yimin, 2019. "The dynamics analysis of a rumor propagation model in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 118-137.
    19. Xie, Hualin & Cheng, Lingjuan & Lu, Hua, 2018. "Farmers’ responses to the winter wheat fallow policy in the groundwater funnel area of China," Land Use Policy, Elsevier, vol. 73(C), pages 195-204.
    20. Baldwin, Elizabeth & Carley, Sanya & Nicholson-Crotty, Sean, 2019. "Why do countries emulate each others’ policies? A global study of renewable energy policy diffusion," World Development, Elsevier, vol. 120(C), pages 29-45.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yun Teng & Peiwen Lin, 2022. "Research on Behavioral Decision-Making of Subjects on Cultivated Land Conservation under the Goal of Carbon Neutrality," Land, MDPI, vol. 11(10), pages 1-25, September.
    2. Jiaxing Pang & Ningfei Wang & Xue Li & Xiang Li & Huiyu Wang & Xingpeng Chen, 2021. "Impact of Economic Development Level and Agricultural Water Use on Agricultural Production Scale in China," IJERPH, MDPI, vol. 18(17), pages 1-12, August.
    3. Xupeng Zhang & Danling Chen & Xinhai Lu & Yifeng Tang & Bin Jiang, 2021. "Interaction between Land Financing Strategy and the Implementation Deviation of Local Governments’ Cultivated Land Protection Policy in China," Land, MDPI, vol. 10(8), pages 1-16, July.
    4. Xi Wu & Yajuan Wang & Hongbo Zhu, 2022. "Does Economic Growth Lead to an Increase in Cultivated Land Pressure? Evidence from China," Land, MDPI, vol. 11(9), pages 1-19, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, He & Chen, Yahong & Ma, Yefeng, 2021. "Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading," Applied Mathematics and Computation, Elsevier, vol. 388(C).
    2. Yu, Zhenning & She, Shuoqi & Xia, Chuyu & Luo, Jiaojiao, 2023. "How to solve the dilemma of China’s land fallow policy: Application of voluntary bidding mode in the Yangtze River Delta of China," Land Use Policy, Elsevier, vol. 125(C).
    3. Nwaibeh, E.A. & Chikwendu, C.R., 2023. "A deterministic model of the spread of scam rumor and its numerical simulations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 111-129.
    4. Luo Muchen & Rosita Hamdan & Rossazana Ab-Rahim, 2022. "Data-Driven Evaluation and Optimization of Agricultural Environmental Efficiency with Carbon Emission Constraints," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    5. Xiao Lu & Yi Qu & Piling Sun & Wei Yu & Wenlong Peng, 2020. "Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation," Land, MDPI, vol. 9(12), pages 1-22, November.
    6. Jie Li & Zhengchuan Sun & Jie Zhou & Yaya Sow & Xufeng Cui & Haipeng Chen & Qianling Shen, 2023. "The Impact of the Digital Economy on Carbon Emissions from Cultivated Land Use," Land, MDPI, vol. 12(3), pages 1-18, March.
    7. Li, Ming & Zhang, Hong & Georgescu, Paul & Li, Tan, 2021. "The stochastic evolution of a rumor spreading model with two distinct spread inhibiting and attitude adjusting mechanisms in a homogeneous social network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    8. Yunxian Yan & Lingqing Wang & Jun Yang, 2022. "The Willingness and Technology Preferences of Farmers and Their Influencing Factors for Soil Remediation," Land, MDPI, vol. 11(10), pages 1-15, October.
    9. Chaozheng Zhang & Yangyue Su & Gangqiao Yang & Danling Chen & Rongxuan Yang, 2020. "Spatial-Temporal Characteristics of Cultivated Land Use Efficiency in Major Function-Oriented Zones: A Case Study of Zhejiang Province, China," Land, MDPI, vol. 9(4), pages 1-20, April.
    10. Xi Wu & Yajuan Wang & Hongbo Zhu, 2022. "Does Economic Growth Lead to an Increase in Cultivated Land Pressure? Evidence from China," Land, MDPI, vol. 11(9), pages 1-19, September.
    11. Xie, Xianxiong & Cui, Yu & Yao, Liuyang & Ni, Qi & Khan, Sufyan Ullah & Zhao, Minjuan, 2022. "Does fallow policy affect rural household income in poor areas? A quasi-experimental evidence from fallow pilot area in Northwest China," Land Use Policy, Elsevier, vol. 120(C).
    12. Yin, Fulian & Tang, Xinyi & Liang, Tongyu & Kuang, Qinghua & Wang, Jinxia & Ma, Rui & Miao, Fang & Wu, Jianhong, 2024. "Coupled dynamics of information propagation and emotion influence: Emerging emotion clusters for public health emergency messages on the Chinese Sina Microblog," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    13. Ying Chen & Suran Li & Long Cheng, 2020. "Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China," Land, MDPI, vol. 9(11), pages 1-15, November.
    14. Pengnan Xiao & Jie Xu & Zupeng Yu & Peng Qian & Mengyao Lu & Chao Ma, 2022. "Spatiotemporal Pattern Differentiation and Influencing Factors of Cultivated Land Use Efficiency in Hubei Province under Carbon Emission Constraints," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    15. Zhang, Mingli & Qin, Simeng & Zhu, Xiaoxia, 2021. "Information diffusion under public crisis in BA scale-free network based on SEIR model — Taking COVID-19 as an example," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    16. Guiyun Liu & Junqiang Li & Zhongwei Liang & Zhimin Peng, 2021. "Analysis of Time-Delay Epidemic Model in Rechargeable Wireless Sensor Networks," Mathematics, MDPI, vol. 9(9), pages 1-19, April.
    17. Xiaoying Wang & Hangang Hu & Aifeng Ning & Guan Li & Xueqi Wang, 2022. "The Impact of Farmers’ Perception on Their Cultivated Land Quality Protection Behavior: A Case Study of Ningbo, China," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    18. Zhu, Linhe & Liu, Wenshan & Zhang, Zhengdi, 2020. "Delay differential equations modeling of rumor propagation in both homogeneous and heterogeneous networks with a forced silence function," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    19. S Anukriti & Catalina Herrera‐Almanza & Praveen K. Pathak & Mahesh Karra, 2020. "Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1328-1351, October.
    20. Das Gupta, Monica & Bongaarts, John & Cleland, John, 2011. "Population, poverty, and sustainable development : a review of the evidence," Policy Research Working Paper Series 5719, The World Bank.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:160-:d:494025. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.