Analysis of the determinants of sustainable agricultural technologies adoption in tea production in China: a systematic review

References

• Abdusalam, A., Zhang, Y., Abudoushalamu, M., Maitusun, P., Whitney, C., Yang, X. F., & Fu, Y. (2020). Documenting the heritage along the Silk Road: An ethnobotanical study of medicinal teas used in Southern Xinjiang, China. Journal of Ethnopharmacology, 260, 113012. https://doi.org/10.1016/j.jep.2020.113012
   PubMed Web of Science ®Google Scholar
• Ali, S., Yan, Q., Razzaq, A., Khan, I., & Irfan, M. (2023). Modeling factors of biogas technology adoption: A roadmap towards environmental sustainability and green revolution. Environmental Science and Pollution Research, 30(5), 11838–11860. https://doi.org/10.1007/s11356-022-22894-0
   Google Scholar
• Arhin, I., Li, J., Mei, H., Amoah, M., Chen, X., Jeyaraj, A., Li, X., & Liu, A. (2022). Looking into the future of organic tea production and sustainable farming: A systematic review. International Journal of Agricultural Sustainability, 942–954. https://doi.org/10.1080/14735903.2022.2028398
   Web of Science ®Google Scholar
• Azman, A., D’Silva, J. L., Samah, B. A., Man, N., & Shaffril, H. A. M. (2013). Relationship between attitude, knowledge, and support towards the acceptance of sustainable agriculture among contract farmers in Malaysia. Asian Social Science, 9(2), 99–105. https://doi.org/10.5539/ass.v9n2p99
   Google Scholar
• Bui, H. T. M., & Nguyen, H. T. T. (2021). Factors influencing farmers’ decision to convert to organic tea cultivation in the mountainous areas of northern Vietnam. Organic Agriculture, https://doi.org/10.1007/s13165-020-00322-2
   Google Scholar
• Chen, L. C., & Chang, S. E. (2015). Building and recovering rural economic landscapes: The case of liquor and tea industries in Taiwan. Procedia-Social and Behavioral Sciences, 202, 408–416. https://doi.org/10.1016/j.sbspro.2015.08.245
   Google Scholar
• Chen, Y., Li, M., & Hatab, A. A. (2020). A spatiotemporal analysis of comparative advantage in tea production in China. Agricultural Economics (Zemědělská Ekonomika), 66(12), 550–561. https://doi.org/10.17221/85/2020-AGRICECON
   Web of Science ®Google Scholar
• Chiriacò, M. V., Bellotta, M., Jusić, J., & Perugini, L. (2022). Palm oil’s contribution to the United Nations sustainable development goals: Outcomes of a review of socio-economic aspects. Environmental Research Letters, 17(6), 63007.
   Web of Science ®Google Scholar
• Chun-Hua, Z., Na, Z., Xiao-Li, F., Jun, J., Xiao-Li, S., Hong-Qing, L., Fa, C., & Jun-ming, L. (2023). Dissecting the key genomic regions underlying high-yielding potential in common wheat variety Kenong 9204. Journal of Integrative Agriculture, 0.
   Google Scholar
• Deka, N., Goswami, K., & Anurupam, K. (2021). What will drive the small tea growers towards environment-friendly cultivation? Implications from the tea sector in Assam, India. Climate and Development, 1–16. https://doi.org/10.1080/17565529.2021.1930988
   Web of Science ®Google Scholar
• Deng, X., Liu, Z., Zhan, Y., Ni, K., Zhang, Y., Ma, W., Shao, S., Lv, X., Yuan, Y., & Rogers, K. M. (2020). Predictive geographical authentication of green tea with protected designation of origin using a random forest model. Food Control, 107, 106807. https://doi.org/10.1016/j.foodcont.2019.106807
   Web of Science ®Google Scholar
• Ding, S., Meriluoto, L., Reed, W. R., Tao, D., & Wu, H. (2011). The impact of agricultural technology adoption on income inequality in rural China: Evidence from southern Yunnan Province. China Economic Review, 22(3), 344–356. https://doi.org/10.1016/j.chieco.2011.04.003
   Web of Science ®Google Scholar
• Durach, C. F., Kembro, J., & Wieland, A. (2017). A new paradigm for systematic literature reviews in supply chain management. Journal of Supply Chain Management, 53(4), 67–85.
   Web of Science ®Google Scholar
• Dutta, P., Kaushik, H., Bhuyan, R. P., Kaman, P. K., Kumari, A., Das, A., & Saikia, H. K. (2020). Relation of climatic parameter on tea production in organic condition specific to Assam. International Journal of Current Microbiology and Applied Sciences, 9(4), 2243–2249. https://doi.org/10.20546/ijcmas.2020.904.269
   Google Scholar
• Fernandez-Cornejo, J., & Wechsler, S. (2012). Revisiting the impact of Bt corn adoption by US farmers. Agricultural and Resource Economics Review, 41(3), 377–390.
   Google Scholar
• Filho, H. M. d. S.. (2018). The adoption of sustainable agricultural technologies (1st ed., pp. 199–222). Routledge. https://doi.org/10.4324/9780429427541
   Google Scholar
• Fuentes-Llanillo, R., Telles, T. S., Junior, D. S., De Melo, T. R., Friedrich, T., & Kassam, A. (2021). Expansion of no-tillage practice in conservation agriculture in Brazil. Soil and Tillage Research, 208, 104877.
   Web of Science ®Google Scholar
• Grabowski, R., & Self, S. (2023). Agricultural productivity growth and the development of manufacturing in developing Asia. Economic Systems, 47(2), 101075.
   Web of Science ®Google Scholar
• Haggar, J., & Rodenburg, J. (2021). Lessons on enabling African smallholder farmers, especially women and youth, to benefit from sustainable agricultural intensification. International Journal of Agricultural Sustainability, 19(5-6), 636–640.
   Web of Science ®Google Scholar
• Hara, C. Y., Gnanapragasam, N. C., & Sivepalan, P. (1978). Eco-friendly management of tea plantatons towards. International Journal of Tea Science, 3, 139–146.
   Google Scholar
• Hu, J., Webster, D., Cao, J., & Shao, A. (2018). The safety of green tea and green tea extract consumption in adults – results of a systematic review. Regulatory Toxicology and Pharmacology, 95(March), 412–433. https://doi.org/10.1016/j.yrtph.2018.03.019
   PubMedGoogle Scholar
• Huang, C. M., Tuan, C. L., & Wongchai, A. (2014). Development analysis of leisure agriculture – A case study of Longjing Tea Garden, Hangzhou. China. APCBEE Procedia, 8, 210–215. https://doi.org/10.1016/j.apcbee.2014.03.029
   Google Scholar
• Ivezić, V., Yu, Y., & Werf, W. V. D. (2021). Crop yields in European agroforestry systems: A meta-analysis. Frontiers in Sustainable Food Systems, 5, 606631.
   Google Scholar
• Kassam, A., & Brammer, H. (2016). Environmental implications of three modern agricultural practices: Conservation agriculture, the system of rice intensification and precision agriculture. International Journal of Environmental Studies, 73(5), 702–718.
   Google Scholar
• Koner, N., & Laha, A. (2021). Economics of alternative models of organic farming: Empirical evidence from zero budget natural farming and scientific organic farming in West Bengal. International Journal of Agricultural Sustainability, 19(3–4), 255–268. https://doi.org/10.1080/14735903.2021.1905346
   Web of Science ®Google Scholar
• Kouchaki-Penchah, H., Nabavi-Pelesaraei, A., O'dwyer, J., & Sharifi, M. (2017). Environmental management of tea production using joint of life cycle assessment and data envelopment analysis approaches. Environmental Progress and Sustainable Energy, 36(4), 1116–1122.
   Web of Science ®Google Scholar
• Lamboll, R., Nelson, V., Gebreyes, M., Kambewa, D., Chinsinga, B., Karbo, N., Rukonge, A., Sekeleti, M., Wakun'uma, W., Gutema, T., Henjewele, M., Phiri, J., Hlanguyo, P., Quaye, W., Duah, S., Kivuyo, M., Nyanga, P., Essilfie, M., Yamoah, A., … Martin, A. (2021). Strengthening decision-making on sustainable agricultural intensification through multi-stakeholder social learning in sub-Saharan Africa. International Journal of Agricultural Sustainability, 19(5-6), 609–635.
   Web of Science ®Google Scholar
• Lee, C. L., Strong, R., & Dooley, K. E. (2021). Analyzing precision agriculture adoption across the globe: A systematic review of scholarship from 1999-2020. Sustainability, 13(18), 10295.
   Web of Science ®Google Scholar
• Li, B., Ding, J., Wang, J., Zhang, B., & Zhang, L. (2021). Key factors affecting the adoption willingness, behavior, and willingness-behaviour consistency of farmers regarding photovoltaic agriculture in China. Energy Policy, 27(14), R713–R715. https://doi.org/10.1016/j.enpol.2020.112101
   Google Scholar
• Li, H. Q., Zheng, F., & Zhao, Y. (2017). Farmer behaviour and perceptions to alternative scenarios in a highly intensive agricultural region, south central China. Journal of Integrative Agriculture, 16(8), 1852–1864. doi:10.1016/S2095-3119(16)61547-2
   Web of Science ®Google Scholar
• Li, J., Feng, S., Luo, T., & Guan, Z. (2020). What drives the adoption of sustainable production technology? Evidence from the large-scale farming sector in East China. Journal of Cleaner Production, 257, 120611. https://doi.org/10.1016/j.jclepro.2020.120611
   Web of Science ®Google Scholar
• Li, Q., Zeng, F., Mei, H., Li, T., & Li, D. (2019). Roles of motivation, opportunity, ability, and trust in the willingness of farmers to adopt green fertilization techniques. Sustainability (Switzerland), 11(24), https://doi.org/10.3390/su11246902
   Google Scholar
• Li, X., Nie, P., Qiu, Z. J., & He, Y. (2011). Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea. Expert Systems with Applications, 38(9), 11149–11159. https://doi.org/10.1016/j.eswa.2011.02.160
   Web of Science ®Google Scholar
• Li, Y., Ye, W., Wang, M. (2009). Climate change and drought: a risk assessment of crop-yield impacts. Climate Research, 39(1), 31–46.
   Web of Science ®Google Scholar
• Lienhard, P., Lestrelin, G., Phanthanivong, I., Kiewvongphachan, X., Leudphanane, B., Lairez, J., Quoc, H. T., & Castella, J. C. (2020). Opportunities and constraints for adoption of maize-legume mixed cropping systems in Laos. International Journal of Agricultural Sustainability, 18(5), 427–443.
   Web of Science ®Google Scholar
• Liu, Y., & Wang, X. (2005). Technological progress and Chinese agricultural growth in the 1990s. China Economic Review, 16(4), 419–440. https://doi.org/10.1016/j.chieco.2005.03.006
   Web of Science ®Google Scholar
• López-Felices, B., Aznar-Sánchez, J. A., Velasco-Muñoz, J. F., & Mesa-Vázquez, E. (2023). Examining the perceptions and behaviours of farmers regarding the installation of covers over irrigation ponds: Evidence from South-east Spain. Agricultural Water Management, 275, 107999.
   Web of Science ®Google Scholar
• Lou, X., & Li, L. M. W. (2021). The relationship between identity and environmental concern: A meta-analysis. Journal of Environmental Psychology, 76, 101653.
   Web of Science ®Google Scholar
• Mahama, A., Awuni, J. A., Mabe, F. N., & Azumah, S. B. (2020). Modelling adoption intensity of improved soybean production technologies in Ghana – a generalized Poisson approach. Heliyon, 6(3), e03543. https://doi.org/10.1016/j.heliyon.2020.e03543
   PubMed Web of Science ®Google Scholar
• Masikati, P., Sisito, G., Chipatela, F., Tembo, H., & Winowiecki, L. A. (2021). Agriculture extensification and associated socio-ecological trade-offs in smallholder farming systems of Zambia. International Journal of Agricultural Sustainability, 19(5-6), 497–508.
   Web of Science ®Google Scholar
• Massresha, S. E., Lema, T. Z., Neway, M. M., & Degu, W. A. (2021). Perception and determinants of agricultural technology adoption in north shoa zone, Amhara regional state. Ethiopia. Cogent Economics and Finance, 9(1), 1956774.
   Web of Science ®Google Scholar
• Meijer, S. S., Catacutan, D., Ajayi, O. C., Sileshi, G. W., & Nieuwenhuis, M. (2015). The role of knowledge, attitudes, and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in sub-Saharan Africa. International Journal of Agricultural Sustainability, 13(1), 40–54. https://doi.org/10.1080/14735903.2014.912493
   Web of Science ®Google Scholar
• Meng, F., Qiao, Y., Wu, W., Smith, P., & Scott, S. (2017). Environmental impacts and production performances of organic agriculture in China: A monetary valuation. Journal of Environmental Management, 188, 49–57. https://doi.org/10.1016/j.jenvman.2016.11.080
   PubMed Web of Science ®Google Scholar
• Mohan, S. (2020). Risk aversion and certification: Evidence from the Nepali tea fields. World Development, 129, 104903. https://doi.org/10.1016/j.worlddev.2020.104903
   Web of Science ®Google Scholar
• Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., & Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement (Chinese edition). Journal of Chinese Integrative Medicine, 7(9), 889–896. doi:10.3736/jcim20090918
   Google Scholar
• Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1–9.
   PubMed Web of Science ®Google Scholar
• Mondal, P., & Basu, M. (2009). Adoption of precision agriculture technologies in India and in some developing countries: Scope, present status, and strategies. In 2009 National Natural Science Foundation of China and Chinese Academy of Sciences (Vol. 19, 6, pp. 659–666). Elsevier Limited and Science in China Press. https://doi.org/10.1016/j.pnsc.2008.07.020
   Google Scholar
• Mwangi, M., & Kariuki, S. (2015). Factors determining adoption of new agricultural technology by smallholder farmers in developing countries. Journal of Economics and Sustainable Development, 6(5).
   Google Scholar
• Niu, Z., Chen, C., Gao, Y., Wang, Y., Chen, Y., & Zhao, K. (2022). Peer effects, attention allocation and farmers’ adoption of cleaner production technology: Taking green control techniques as an example. Journal of Cleaner Production, 339, 130700. https://doi.org/10.1016/j.jclepro.2022.130700
   Web of Science ®Google Scholar
• Olum, S., Gellynck, X., Juvinal, J., Ongeng, D., & De Steur, H. (2020). Farmers’ adoption of agricultural innovations: A systematic review on willingness to pay studies. Outlook on Agriculture, 49(3), 187–203. doi:10.1177/0030727019879453
   Web of Science ®Google Scholar
• Paull, J. (2008). The greening of China’s food-green food, organic food, and eco-labelling. http://orgprints.org/13563.
   Google Scholar
• Pello, K., Okinda, C., Liu, A., & Njagi, T. (2021). Factors affecting adaptation to climate change through agroforestry in Kenya. Land, 10(4), 371. p. 1–317. https://doi.org/10.3390/land10040371
   Web of Science ®Google Scholar
• Poškus, M. S., Jovarauskaitė, L., & Balundė, A. (2021). A systematic review of drivers of sustainable wastewater treatment technology adoption. Sustainability, 13(15), 8584.
   Web of Science ®Google Scholar
• Pretty, J., Sutherland, W. J., Ashby, J., Auburn, J., Baulcombe, D., Bell, M., Bentley, J., Bickersteth, S., Brown, K., Burke, J., Campbell, H., Chen, K., Crowley, E., Crute, I., Dobbelaere, D., Edwards-Jones, G., Funes-Monzote, F., Godfray, H. C. J., Griffon, M., … Pilgrim, S. (2010). The top 100 questions of importance to the future of global agriculture. International Journal of Agricultural Sustainability, 8(4), 219–236.
   Web of Science ®Google Scholar
• Qi, D., Zhu, J., Huang, Y., Xie, G., & Wu, Z. (2021). Factors affecting technology choice behaviour of rubber smallholders: A case study in central Hainan. China. Journal of Rubber Research, 24(3), 327–338. https://doi.org/10.1007/s42464-021-00096-6
   Web of Science ®Google Scholar
• Qiao, Y., Halberg, N., Vaheesan, S., & Scott, S. (2016). Assessing the social and economic benefits of organic and fair-trade tea production for small-scale farmers in Asia: A comparative case study of China and Sri Lanka. Renewable Agriculture and Food Systems, 31(3), 246–257. https://doi.org/10.1017/S1742170515000162
   Web of Science ®Google Scholar
• Qu, D., Wang, X., Kang, C., & Liu, Y. (2018). Promoting agricultural and rural modernization through application of information and communication technologies in China. International Journal of Agricultural and Biological Engineering, 11(6), 1–4.
   Web of Science ®Google Scholar
• Rao, M. J., & Wang, L. (2021). CRISPR/Cas9 technology for improving agronomic traits and future prospective in agriculture. Planta, 254, 1–16.
   PubMed Web of Science ®Google Scholar
• Rao, U. S., Swathi, R., Sanjana, V., Arpitha, L., Chandrasekhar, K., & Naik, P. K. (2021). Deep learning precision farming: Grapes and mango leaf disease detection by transfer learning. Global Transitions Proceedings, 2(2), 535–544.
   Google Scholar
• Senthilkumar, K., Rodenburg, J., Dieng, I., Vandamme, E., Sillo, F. S., Johnson, J. M., Rajaona, A., Ramarolahy, J. A., Gasore, R., Abera, B. B., Kajiru, G. J., Mghase, J., Lamo, J., Rabeson, R., & Saito, K. (2020). Quantifying rice yield gaps and their causes in Eastern and Southern Africa. Journal of Agronomy and Crop Science, 206(4), 478–490.
   Web of Science ®Google Scholar
• Sitthisuntikul, K., Yossuck, P., & Limnirankul, B. (2018). How does organic agriculture contribute to food security of small land holders: A case study in the North of Thailand? Cogent Food & Agriculture, 4(1), 1429698. https://doi.org/10.1080/23311932.2018.1429698
   Web of Science ®Google Scholar
• Sun, Y., Hu, R., & Zhang, C. (2019). Does the adoption of complex fertilizers contribute to fertilizer overuse? Evidence from rice production in China. Journal of Cleaner Production, 219, 677–685. https://doi.org/10.1016/j.jclepro.2019.02.118
   Web of Science ®Google Scholar
• Tan, M., Hou, Y., Zhang, L., Shi, S., Long, W., Ma, Y., Zhang, T., Li, F., & Oenema, O. (2021). Operational costs and neglect of end-users are the main barriers to improving manure treatment in intensive livestock farms. Journal of Cleaner Production, 289, 125149.
   Web of Science ®Google Scholar
• Tey, Y. S., & Brindal, M. (2012). Factors influencing the adoption of precision agricultural technologies: A review for policy implications. Precision Agriculture, 13(6), 713–730. https://doi.org/10.1007/s11119-012-9273-6
   Web of Science ®Google Scholar
• Thiers, P. (2005). Using global organic markets to pay for ecologically based agricultural development in China. Agriculture and Human Values, 22(1), 3–15. https://doi.org/10.1007/s10460-004-7226-z
   Web of Science ®Google Scholar
• Tobias Ochieng, N., Elizabeth, K. N., & Nigel, L. W. (2021). Measuring the conservation attitudes of local communities towards the African elephant Loxodonta africana, a flagship species in the Mara ecosystem. PloS one, 16(6), e0253234.
   PubMed Web of Science ®Google Scholar
• Tu, C., He, T., Lu, X., Luo, Y., & Smith, P. (2018). Extent to which pH and topographic factors control soil organic carbon level in dry farming cropland soils of the mountainous region of Southwest China. Catena, 163, 204–209.
   Web of Science ®Google Scholar
• Tura, N., & Ojanen, V. (2022). Sustainability-oriented innovations in smart cities: A systematic review and emerging themes. Cities, 126, 103716.
   Web of Science ®Google Scholar
• Twongyirwe, R., Bariyo, R., Odongo, H., Muchunguzi, C., Kemigisha, P., & Nyakato, V. (2020). Good intentions, bad extension systems? How the ‘Garden Store Approach’ crippled tea expansion in Kigezi sub-region, SW Uganda. Agricultural Systems, 180(July), 102681. https://doi.org/10.1016/j.agsy.2019.102681
   Google Scholar
• ul Haq, S., & Boz, I. (2018). Developing a set of indicators to measure sustainability of tea cultivating farms in Rize Province, Turkey. Ecological Indicators, 95, 219–232. https://doi.org/10.1016/j.ecolind.2018.07.041
   Web of Science ®Google Scholar
• Vinholis, M. D. M. B., Saes, M. S. M., Carrer, M. J., & de Souza Filho, H. M. (2021). The effect of meso-institutions on adoption of sustainable agricultural technology: A case study of the Brazilian low carbon agriculture plan. Journal of Cleaner Production, 280, 124334. https://doi.org/10.1016/j.jclepro.2020.124334
   Web of Science ®Google Scholar
• Wachenheim, C., Fan, L., & Zheng, S. (2021). Adoption of unmanned aerial vehicles for pesticide application: Role of social network, resource endowment, and perceptions. Technology in Society, 64, https://doi.org/10.1016/j.techsoc.2020.101470
   Web of Science ®Google Scholar
• Wang, F., Wang, R., & He, Z. (2021). The impact of environmental pollution and green finance on the high-quality development of energy based on spatial Dubin model. Resources Policy, 74, 102451.
   Web of Science ®Google Scholar
• Wang, S., Yin, N. (2021). Factors affecting sustained adoption of irrigation water-saving technologies in groundwater over-exploited areas in the North China Plain. Environment, Development and Sustainability, 23, 10528–10546.
   Web of Science ®Google Scholar
• Wang, Y., Zhu, Y., Zhang, S., & Wang, Y. (2018). What could promote farmers to replace chemical fertilizers with organic fertilizers? Journal of Cleaner Production, 199, 882–890. https://doi.org/10.1016/j.jclepro.2018.07.222
   Web of Science ®Google Scholar
• Waseem, R., Mwalupaso, G. E., Waseem, F., & Khan, H. (2020). Adoption of sustainable agriculture practices in banana farm production: A study from the Sindh Region of Pakistan. International Journal of Environmental Research and Public Health, 1–14. https://doi.org/10.3390/ijerph17103714
   PubMed Web of Science ®Google Scholar
• Xie, H., & Huang, Y. (2021). Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis. Land Use Policy, 109, 105622.
   Web of Science ®Google Scholar
• Xu, G., Sarkar, A., Qian, L., Shuxia, Z., Rahman, M. A. (2022). The impact of the epidemic experience on the recovery of production of pig farmers after the outbreak-Evidence from the impact of African swine fever (ASF) in Chinese pig farming. Preventive Veterinary Medicine, 199, 105568.
   PubMed Web of Science ®Google Scholar
• Xu, H., Huang, X., Zhong, T., Chen, Z., & Yu, J. (2014). Chinese land policies and farmers' adoption of organic fertilizer for saline soils. Land Use Policy, 38, 541–549. https://doi.org/10.1016/j.landusepol.2013.12.018
   Google Scholar
• Xu, Q., Yang, Y., Hu, K., Chen, J., Djomo, S. N., Yang, X., & Knudsen, M. T. (2021). Economic, environmental, and emergy analysis of China’s green tea production. Sustainable Production and Consumption, 28, 269–280. https://doi.org/10.1016/j.spc.2021.04.019
   Web of Science ®Google Scholar
• Yadav, C. M., & Naagar, K. C. (2021). Dairy farming technologies adopted by the farmers in Bhilwara district of Rajasthan. Indian Research Journal of Extension Education, 21(1), 7–11.
   Google Scholar
• Yan, F., Zhang, F., Fan, X., Fan, J., Wang, Y., Zou, H., Wang, H., & Li, G. (2021). Determining irrigation amount and fertilization rate to simultaneously optimize grain yield, grain nitrogen accumulation and economic benefit of drip-fertigated spring maize in northwest China. Agricultural Water Management, 243, 106440.
   Web of Science ®Google Scholar
• Yang, Q., Zhu, Y., Liu, L., & Wang, F. (2022). Land tenure stability and adoption intensity of sustainable agricultural practices in banana production in China. Journal of Cleaner Production, 130553.
   Google Scholar
• Yang, X., & Sang, Y. (2020). How does part-time farming affect farmers’ adoption of conservation agriculture in Jianghan Plain, China?. International Journal of Environmental Research and Public Health, 17(16), 5983.
   PubMed Web of Science ®Google Scholar
• Young, S. C. (2015). Factors affecting the adoption of new technology: The case of 311 government call centres. Florida International University, 1–164. https://doi.org/10.25148/etd.FI15050209
   Google Scholar
• Zheng, R., Zhan, J., Liu, L., Ma, Y., Wang, Z., Xie, L., & He, D. (2019). Factors and minimal subsidy associated with tea farmers’ willingness to adopt ecological pest management. Sustainability (Switzerland), 11(22), https://doi.org/10.3390/su11226190
   Google Scholar