Spatio-temporal differentiation on China’s green agricultural total factor productivity guided by digital technology and fuzzy systems

References

• Abedi Gheshlaghi, H., & Feizizadeh, B. (2021). GIS-based ensemble modelling of fuzzy system and bivariate statistics as a tool to improve the accuracy of landslide susceptibility mapping. Natural Hazards, 107(2), 1–14. https://doi.org/10.1007/s11069-021-04673-1
   Web of Science ®Google Scholar
• Adedoyin, F. F., Bein, M. A., Gyamfi, B. A., & Bekun, F. V. (2021). Does agricultural development induce environmental pollution in E7? A myth or reality. Environmental Science and Pollution Research International, 28(31), 41869–41880. https://doi.org/10.1007/s11356-021-13586-2
   PubMed Web of Science ®Google Scholar
• Ahmad, F., Fouad, H., Liang, S.-Y., Hu, Y., & Mo, J.-C. (2021). Termites and Chinese agricultural system: Applications and advances in integrated termite management and chemical control. Insect Science, 28(1), 2–20. https://doi.org/10.1111/1744-7917.12726
   PubMed Web of Science ®Google Scholar
• Cai, X., Wang, J., Zhong, S., Shi, K., & Tang, Y. (2021). Fuzzy quantized sampled-data control for extended dissipative analysis of T–S fuzzy system and its application to WPGSs. Journal of the Franklin Institute, 358(2), 1350–1375. https://doi.org/10.1016/j.jfranklin.2020.12.002
   Web of Science ®Google Scholar
• Campi, M., & Nuvolari, A. (2021). Intellectual property rights and agricultural development: Evidence from a worldwide index of IPRs in agriculture (1961–2018). The Journal of Development Studies, 57(4), 650–668. https://doi.org/10.1080/00220388.2020.1817395
   Web of Science ®Google Scholar
• Chaudhuri, S., Roy, M., McDonald, L. M., & Emendack, Y. (2021). Reflections on farmers’ social networks: A means for sustainable agricultural development? Environment, Development and Sustainability, 23(3), 2973–3008. https://doi.org/10.1007/s10668-020-00762-6
   Web of Science ®Google Scholar
• Dabkiene, V., Balezentis, T., & Streimikiene, D. (2021). Development of agri-environmental footprint indicator using the FADN data: Tracking development of sustainable agricultural development in Eastern Europe. Sustainable Production and Consumption, 27(11), 2121–2133. https://doi.org/10.1016/j.spc.2021.05.017
   Google Scholar
• El-Shirbeny, M. A., Ali, A. M., Khdery, G. A., et al. (2021). Monitoring agricultural water in the desert environment of New Valley Governorate for sustainable agricultural development: A case study of Kharga. Euro-Mediterr J Envi, 6(2), 1–15.
   Google Scholar
• Hu, J., Wang, Z., & Huang, Q. (2021). Factor allocation structure and green-biased technological progress in Chinese agriculture. Economic Research-Ekonomska Istraživanja, 34(1), 2034–2058. https://doi.org/10.1080/1331677X.2020.1860795
   Web of Science ®Google Scholar
• Huang, Y., Chen, D., Zhao, W., & Mo, H. (2021). Deep fuzzy system algorithms based on deep learning and input sharing for regression application. International Journal of Fuzzy Systems, 23(3), 727–742. https://doi.org/10.1007/s40815-020-00998-4
   Web of Science ®Google Scholar
• İsmail, A., & Arisoy, H. (2021). International fund for agricultural development and evaluation of Turkey’s practices. Tarım Ekonomisi Dergisi, 27(1), 39–47.
   Google Scholar
• Karimzadeh, M. (2021). Prioritizing the barriers to agricultural development in rural areas of Saravan. Co-Operation and Agriculture, 10(37), 153–180.
   Google Scholar
• Kisi, O., Khosravinia, P., Heddam, S., Karimi, B., & Karimi, N. (2021). Modeling wetting front redistribution of drip irrigation systems using a new machine learning method: Adaptive neuro-fuzzy system improved by hybrid particle swarm optimization–Gravity search algorithm. Agricultural Water Management, 256(2), 107067. https://doi.org/10.1016/j.agwat.2021.107067
   Google Scholar
• Lee, C. C., He, Z. W., & Yuan, Z. (2023). A pathway to sustainable development: Digitization and green productivity. Energy Economics, 124, 106772. https://doi.org/10.1016/j.eneco.2023.106772
   Web of Science ®Google Scholar
• Li, J.-P O., Liu, H., Ting, D. S. J., Jeon, S., Chan, R. V. P., Kim, J. E., Sim, D. A., Thomas, P. B. M., Lin, H., Chen, Y., Sakomoto, T., Loewenstein, A., Lam, D. S. C., Pasquale, L. R., Wong, T. Y., Lam, L. A., & Ting, D. S. W. (2021). Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective. Progress in Retinal and Eye Research, 82(9), 100900. https://doi.org/10.1016/j.preteyeres.2020.100900
   PubMedGoogle Scholar
• Li, L., Lou, W., Kong, L., & Shen, W. (2021). Hydrogen commonly applicable from medicine to agriculture: From molecular mechanisms to the field. Current Pharmaceutical Design, 27(5), 747–759. https://doi.org/10.2174/1381612826666201207220051
   PubMed Web of Science ®Google Scholar
• Liu, S., Deichmann, M., Moro, M. A., Andersen, L. S., Li, F., Dalgaard, T., & McKnight, U. S. (2022). Targeting sustainable greenhouse agriculture policies in China and Denmark: A comparative study. Land Use Policy, 119(7), 106148. https://doi.org/10.1016/j.landusepol.2022.106148
   Google Scholar
• Liu, F., Sekh, A. A., Quek, C., Ng, G. S., & Prasad, D. K. (2021). RS-HeRR: A rough set-based Hebbian rule reduction neuro-fuzzy system. Neural Computing and Applications, 33(4), 1123–1137. https://doi.org/10.1007/s00521-020-04997-2
   Web of Science ®Google Scholar
• Madanayake, N. H., Hossain, A., & Adassooriya, N. M. (2021). Nanobiotechnology for agricultural sustainability, and food and environmental safety. Quality Assurance and Safety of Crops & Foods, 13(1), 20–36. https://doi.org/10.15586/qas.v13i1.838
   Web of Science ®Google Scholar
• Mager, A., & Katzenbach, C. (2021). Future imaginaries in the making and governing of digital technology: Multiple, contested, commodified. New Media & Society, 23(2), 223–236. https://doi.org/10.1177/1461444820929321
   Web of Science ®Google Scholar
• Mogborukor, J. O. (2021). The physio-chemical characteristics of agbor soils in delta state and the implications for agricultural development. International Journal of Physical and Human Geography, 9(1), 1–12.
   Google Scholar
• Ngoc Huy, D. T., Van Tuan, P., Dinh Trung, N., Thi Huyen, D., Thi Hang, N., Bich Hong, N., Thu Ha, L., & Thi Sun, B. (2021). Management issues of tea planting and tea crops in Vietnam in the concept of sustainable agricultural development-and recommendations on marketing 4P. Tobacco Regulatory Science, 7(5), 1784–1803. https://doi.org/10.18001/TRS.7.5.102
   Google Scholar
• Nikou, S., & Aavakare, M. (2021). An assessment of the interplay between literacy and digital technology in higher education. Education and Information Technologies, 26(4), 3893–3915. https://doi.org/10.1007/s10639-021-10451-0
   Web of Science ®Google Scholar
• Pandey, S., & Yadav, D. K. (2021). Role of agricultural credit in Indian agricultural development. Indian Journal of Agricultural Marketing, 35(1), 260–260.
   Google Scholar
• Singh, H., Sharma, A., Bhardwaj, S. K., Arya, S. K., Bhardwaj, N., & Khatri, M. (2021). Recent advances in the applications of nano-agrochemicals for sustainable agricultural development. Environmental Science. Processes & Impacts, 23(2), 213–239. https://doi.org/10.1039/d0em00404a
   PubMed Web of Science ®Google Scholar
• Tsebee, K. A. (2021). Evaluation of communication support materials used for agricultural development projects in selected states in North Central Nigeria. International Journal of Agricultural Extension and Rural Development Studies, 8(4), 1–28.
   Google Scholar
• Vargo, D., Zhu, L., Benwell, B., & Yan, Z. (2021). Digital technology use during COVID-19 pandemic: A rapid review. Human Behavior and Emerging Technologies, 3(1), 13–24. https://doi.org/10.1002/hbe2.242
   Google Scholar
• Vuorre, M., Orben, A., & Przybylski, A. K. (2021). There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clinical Psychological Science: A Journal of the Association for Psychological Science, 9(5), 823–835. https://doi.org/10.1177/2167702621994549
   PubMed Web of Science ®Google Scholar
• Yao, L., Li, Y., & Chen, X. (2021). A robust water-food-land nexus optimization model for sustainable agricultural development in the Yangtze River Basin. Agricultural Water Management, 256(7), 107103. https://doi.org/10.1016/j.agwat.2021.107103
   Google Scholar
• Yu, B. (2022). The impact of the internet on industrial green productivity: Evidence from China. Technological Forecasting and Social Change, 177, 121527. https://doi.org/10.1016/j.techfore.2022.121527
   Web of Science ®Google Scholar
• Zhao, L., Zhang, Y., Sadiq, M., Hieu, V. M., & Ngo, T. Q. (2023). Testing green fiscal policies for green investment, innovation and green productivity amid the COVID-19 era. Economic Change and Restructuring, 56(5), 2943–2964. https://doi.org/10.1007/s10644-021-09367-z
   Web of Science ®Google Scholar
• Zheng, K., Zhang, Q., Hu, Y., & Wu, B. (2021). Design of fuzzy system-fuzzy neural network-backstepping control for complex robot system. Information Sciences, 546(4), 1230–1255. https://doi.org/10.1016/j.ins.2020.08.110
   Google Scholar