447
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The association of farmers’ cognition, intention and behaviour towards sustainable intensification of cultivated land use in Shandong Province, China

ORCID Icon, &
Article: 2318930 | Received 07 May 2023, Accepted 11 Feb 2024, Published online: 02 Mar 2024

References

  • Ajzen, I. (1991). The theory of planned behavior. Research in Nursing & Health, 14(2), 137–144. https://doi.org/10.1016/0749-5978(91)90020-T
  • Anderson, R., Bayer, P. E., & Edwards, D. (2020). Climate change and the need for agricultural adaptation. Current Opinion in Plant Biology, 56, 197–202. https://doi.org/10.1016/j.pbi.2019.12.006
  • Aravindakshan, S., Krupnik, T. J., Amjath-Babu, T. S., Speelman, S., Tur-Cardona, J., Tittonell, P., & Groot, J. C. J. (2021). Quantifying farmers’ preferences for cropping systems intensification: A choice experiment approach applied in coastal Bangladesh's risk prone farming systems. Agricultural Systems, 189, 103069. https://doi.org/10.1016/j.agsy.2021.103069
  • Ataei, P., Gholamrezai, S., Movahedi, R., & Aliabadi, V. (2021). An analysis of farmers’ intention to use green pesticides: The application of the extended theory of planned behavior and health belief model. Journal of Rural Studies, 81, 374–384. https://doi.org/10.1016/j.jrurstud.2020.11.003
  • Beck, L., & Ajzen, I. (1991). Predicting dishonest actions using the theory of planned behavior. Journal of Research in Personality, 25(3), 285–301. https://doi.org/10.1016/0092-6566(91)90021-H
  • Bourgine, P. (2004). Cognitive economics: An interdisciplinary approach. Springer Science & Business Media.
  • Burke, W. J., Snapp, S. S., Peter, B. G., & Jayne, T. S. (2022). Sustainable intensification in jeopardy: Transdisciplinary evidence from Malawi. Science of The Total Environment, 837, 155758. https://doi.org/10.1016/j.scitotenv.2022.155758
  • Cao, H., Li, F., Zhao, K., Qian, C., & Xiang, T. (2022). From value perception to behavioural intention: Study of Chinese smallholders’ pro-environmental agricultural practices. Journal of Environmental Management, 315, 115179.
  • Carnegie, M., Cornish, P. S., Htwe, K. K., & Htwe, N. N. (2020). Gender, decision-making and farm practice change: An action learning intervention in Myanmar. Journal of Rural Studies, 78, 503–515. https://doi.org/10.1016/j.jrurstud.2020.01.002
  • Cassman, K. G., & Grassini, P. (2020). A global perspective on sustainable intensification research. Nature Sustainability, 3(4), 262–268. https://doi.org/10.1038/s41893-020-0507-8
  • Castro-Jiménez, R. A., Pozo, F. J. F. D., Moral, G. J., & Fruet-Cardozo, J. V. (2020). Analysis of health habits, vices and interpersonal relationships of Spanish adolescents, using SEM statistical model. Heliyon, 6, e04699. https://doi.org/10.1016/j.heliyon.2020.e04699
  • Chen, L., Hao, J. M., Wang, F., Yin, Y. Y., Gao, Y., Duan, W. K., & Yang, J. (2016). Carbon sequestration function of cultivated land use system based on the carbon cycle for the Huang-Huai-Hai Plain. Resources Science, 38, 1039–1053. In Chinese. https://doi.org/10.18402/resci.2016.06.04.
  • Chen, Y. F., Miao, J. F., & Zhu, Z. T. (2021). Measuring green total factor productivity of China's agricultural sector: A three-stage SBM-DEA model with non-point source pollution and CO2 emissions. Journal of Cleaner Production, 318, 128543. https://doi.org/10.1016/j.jclepro.2021.128543
  • Duan, W. T., & Jiang, G. R. (2008). A review of the theory of planned behavior. Advances in Psychological Science, 315–320.
  • Elahi, E., Khalid, Z., & Zhang, Z. X. (2022). Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture. Applied Energy, 309, 118459. https://doi.org/10.1016/j.apenergy.2021.118459
  • FAO, IFAD, UNICEF, WFP, WHO. (2019). The state of food security and nutrition in the world 2019. Safeguarding against economic slowdowns and downturns. FAO. https://doi.org/10.18356/63e608ce-en.
  • FAO, IFAD, UNICEF, WFP, WHO. (2022). The state of food security and nutrition in the world 2022: Repurposing food and agricultural policies to make healthy diets more affordable, the state of food security and nutrition in the world (SOFI). FAO, IFAD, UNICEF, WFP, WHO. https://doi.org/10.4060/cc0639en.
  • FAOSTAT. (2018). Food and agriculture organization of the United Nations Rome, Italy. http://faostat.fao.org.
  • Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of Behavioral Decision Making, 13(1), 1–17. https://doi.org/10.1002/(SICI)1099-0771(200001/03)13:1%3c1::AID-BDM333%3e3.0.CO;2-S
  • Freudenreich, H., & Musshoff, O. (2022). Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico. Ecological Economics, 195, 107379. https://doi.org/10.1016/j.ecolecon.2022.107379
  • Galeana-Pizaña, J. M., Couturier, S., Figueroa, D., & Jiménez, A. D. (2021). Is rural food security primarily associated with smallholder agriculture or with commercial agriculture?: An approach to the case of Mexico using structural equation modeling. Agricultural Systems, 190, 103091. https://doi.org/10.1016/j.agsy.2021.103091
  • Guo, Q. H., Li, H., Li, S. P., & Nan, L. (2021). Analysis on the response mechanism and determinants of farmer investment in rural waste governance. Resources and Environment in the Yangtze Basin, 30, 212–224. https://doi.org/10.11870/cjlyzyyhj202101020
  • Ichinose, Y., Higuchi, H. H., Kubo, R., Nishigaki, T., Kilasara, M., Shinjo, H., & Funakawa, S. (2020). Adaptation of farmland management strategies to maintain livelihood by the Chagga people in the Kilimanjaro highlands. Agricultural Systems, 181, 102829. https://doi.org/10.1016/j.agsy.2020.102829
  • IPCC. (2020). Climate change and land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems.
  • Irwin, R., Dhubháin, A., & Short, I. (2022). Irish dairy and drystock farmers’ attitudes and perceptions to planting trees and adopting agroforestry practices on their land. Environmental Challenges, 9, 100636. https://doi.org/10.1016/j.envc.2022.100636
  • Jain, M., Solomon, D., Capnerhurst, H., Arnold, A., Elliott, A., Kinzer, A. T., Knauss, C., Peters, M., Rolf, B., Weil, A., & Weinstein, C. (2020). How much can sustainable intensification increase yields across South Asia? A systematic review of the evidence. Environmental Research Letters, 15(8), 083004. https://doi.org/10.1088/1748-9326/ab8b10
  • Jalilov, S.-M., Rahman, W., Palash, S., Jahan, H., Mainuddin, M., & Ward, F. A. (2022). Exploring strategies to control the cost of food security: Evidence from Bangladesh. Agricultural Systems, 196, 103351. https://doi.org/10.1016/j.agsy.2021.103351
  • Jules, P., Benton, T. G., Pervez, B. Z., Bharucha, Z. P., Dicks, L. V., Flora, C. B., Godfray, H. C. J., Goulson, D., Hartley, S., Lampkin, N., Morris, C., Pierzynski, G., Prasad, P. V. V., Reganold, J., Rockström, J., Smith, P., Thorne, P., & Wratten, S. (2018). Global assessment of agricultural system redesign for sustainable intensification. Nature Sustainability, 1(8), 441–446. https://doi.org/10.1038/s41893-018-0114-0
  • Ke, N., Lu, X. H., Kuang, B., Han, J., et al. (2021). Regional differences and influencing factors of green and low-carbon utilization of cultivated land under the carbon neutrality target in China. China Land Science, 35, 67–76. https://doi.org/10.11994/zgtdkx.20210809.164152
  • Khan, S. U., Cui, Y., Khan, A. A., Ali, M. A. S., Khan, A., Xia, X., Liu, G., & Zhao, M. (2021). Tracking sustainable development efficiency with human-environmental system relationship: An application of DPSIR and super efficiency SBM model. Science of The Total Environment, 783, 146959. https://doi.org/10.1016/j.scitotenv.2021.146959
  • Kotu, B. H., Oyinbo, O., Hoeschle-Zeledon, I., Nurudeen, A. R., Kizito, F., & Boyubie, B. (2022). Smallholder farmers’ preferences for sustainable intensification attributes in maize production: Evidence from Ghana. World Development, 152, 105789. https://doi.org/10.1016/j.worlddev.2021.105789
  • Kreft, C., Huber, R., Wuepper, D., & Finger, R. (2021). The role of non-cognitive skills in farmers' adoption of climate change mitigation measures. Ecological Economics, 189, 107169. https://doi.org/10.1016/j.ecolecon.2021.107169
  • Kurgata, B. K., Ngenohc, E., Bett, H. K., Stöber, S., Mwonga, S., Lotze-Campen, H., & Rosenstock, T. S. (2018). Drivers of sustainable intensification in Kenyan rural and peri-urban vegetable production. International Journal of Agricultural Sustainability, 16(4-5), 385–398. https://doi.org/10.1080/14735903.2018.1499842
  • Li, M. Y., Wang, J. J., & Zhao, P. J. (2020). Factors affecting the willingness of agricultural green production from the perspective of farmers’ perceptions. Science of The Total Environment, 738, 140289. https://doi.org/10.1016/j.scitotenv.2020.140289
  • Li, Y., Wang, Y., & Luo, J. C. (2021). Farmland cognition, farmland certification and farmland transfer—Based on the survey of farmers from six provincial regions of western China. Research on Economics and Management, 42, 120–132. https://doi.org/10.13502/j.cnki.issn1000-7636.2021.01.008
  • Liao, B. (2021). Family livelihood capital, the recognition and the behavior of paying for the governance of rural living environment for farmers: Taking 873 farmers in Jiangxi Province for example. Journal of Agro-Forestry Economics and Management, 20, 598–609. https://doi.org/10.16195/j.cnki.cn36-1328/f.2021.05.62
  • Loos, J., Abson, D. J., Chappell, M. J., Hanspach, J., Mikulcak, F., Tichit, M., & Fischer, J. (2014). Putting meaning back into “sustainable intensification”. Frontiers in Ecology and the Environment, 12(6), 356–361. https://doi.org/10.1890/130157
  • Lu, Y. L., Chadwick, D., Norse, D., Powlson, D., & Shi, W. (2015). Sustainable intensification of China's agriculture: The key role of nutrient management and climate change mitigation and adaptation. Agriculture, Ecosystems & Environment, 209, 1–4. https://doi.org/10.1016/j.agee.2015.05.012
  • Lyu, X., Niu, S. D., Gu, G. Z., & Peng, W.-l. (2020). Conceptual cognition and research framework on sustainable intensification of cultivated land use in China from the perspective of the ‘New agriculture, countryside and peasants’. Journal of Natural Resources, 35(9), 2029–2043. https://doi.org/10.31497/zrzyxb.20200901
  • Lyu, X., Peng, W. L., Niu, S. D., Qu, Y., & Xin, Z. (2022). Evaluation of sustainable intensification of cultivated land use according to farming households’ livelihood types. Ecological Indicators, 138, 108848. https://doi.org/10.1016/j.ecolind.2022.108848
  • Lyu, X., Peng, W. L., Yu, W., Xin, Z., Niu, S., & Qu, Y. (2021). Sustainable intensification to coordinate agricultural efficiency and environmental protection: A systematic review based on metrological visualization. Journal of Land Use Science, 16(3), 313–338. https://doi.org/10.1080/1747423X.2021.1922524
  • Ma, X. J., Dong, B. Y., Yu, Y. B., Wang, C. X., & Yang, Q. (2018). Measurement of carbon emissions from energy consumption in three Northeastern provinces and its driving factors. China Environmental Science, 38, 3170–3179.
  • Maleksaeidi, H., & Keshavarz, M. (2019). What influences farmers' intentions to conserve on-farm biodiversity? An application of the theory of planned behavior in fars province, Iran. Global Ecology and Conservation, 20, e00698. https://doi.org/10.1016/j.gecco.2019.e00698
  • McLaughlin, A., & Mineau, P. (1995). The impact of agricultural practices on biodiversity. Agriculture, Ecosystems & Environment, 55(3), 201–212. https://doi.org/10.1016/0167-8809(95)00609-V
  • Mosavian, S. H., Rostami, F., & Tatar, M. (2023). Modeling farmers’ intention to water protection behavior: A new extended version of the protection motivation theory. Journal of Environmental Psychology, 90, 102036. https://doi.org/10.1016/j.jenvp.2023.102036
  • Mullan, S., Wiltshire, P., Cross, K., Main, D. C., Still, K., Crawley, M., & Dowsey, A. W. (2022). National farm assurance scheme demonstrates welfare outcome improvements for sustainable intensification of dairy production. International Journal of Agricultural Sustainability, 20(4), 558–575. https://doi.org/10.1080/14735903.2021.1957348
  • Niu, S. D., Lyu, X., & Gu, G. Z. (2022). A new framework of green transition of cultivated land-use for the coordination among the water- land-food-carbon nexus in China. Land, 11(6), 933. https://doi.org/10.3390/land11060933
  • Niu, S. D., Lyu, X., Gu, G. Z., Zhou, X., & Peng, W. (2021). Sustainable intensification of cultivated land use and its influencing factors at the farming household scale: A case study of Shandong Province, China. Chinese Geographical Science, 31(1), 109–125. https://doi.org/10.1007/s11769-021-1178-8
  • Niu, S. D., Lyu, X., & Shi, Y. Y. (2018). Spatial-temporal pattern of sustainable intensification of agricultural land-use in Shandong Province, China. Chinese Journal of Applied Ecology, 29, 607–616. https://doi.org/10.13287/j.1001-9332.201802.020
  • Peng, W. L., Lyu, X., Xin, Z. F., & Niu, S. D. (2020). International experience of sustainable intensification and its implications for the protection of cultivated land in China. China Land Science, 34, 18–25. https://doi.org/10.11994/zgtdkx.20200313.171447
  • Petersen, B., & Snapp, S. (2015). What is sustainable intensification? Views from experts. Land Use Policy, 46, 1–10. https://doi.org/10.1016/j.landusepol.2015.02.002
  • Rahman, K. M. A., & Zhang, D. F. (2018). Effects of fertilizer broadcasting on the excessive use of inorganic fertilizers and environmental sustainability. Sustainability, 10(3), 759. https://doi.org/10.1016/j.landusepol.2015.02.002
  • Savari, M., & Gharechaee, H. (2020). Application of the extended theory of planned behavior to predict Iranian farmers’ intention for safe use of chemical fertilizers. Journal of Cleaner Production, 263, 121512. https://doi.org/10.1016/j.jclepro.2020.121512
  • Senger, I., Borges, J. A. R., & Machado, J. A. D. (2017). Using the theory of planned behavior to understand the intention of small farmers in diversifying their agricultural production. Journal of Rural Studies, 49, 32–40. https://doi.org/10.1016/j.jrurstud.2016.10.006
  • Siebrecht, N., & Schmid, H. (2020). Implementation of the concept of sustainable intensification to a real farm – Was its development over 17 years a sustainable intensification? International Journal of Agricultural Sustainability, 18(2), 151–171. https://doi.org/10.1080/14735903.2020.1743073
  • Smith, A., Snapp, S., Chikowo, R., Thorne, P., Bekunda, M., & Glover, J. (2017). Measuring sustainable intensification in smallholder agroecosystems: A review. Global Food Security, 12, 127–138. https://doi.org/10.1016/j.gfs.2016.11.002
  • Song, H. F., & Xin, L. J. (2021). Differentiation characteristics and influencing factors of cultivated land use intensity in China. Transactions of the Chinese Society of Agricultural Engineering, 37, 212–222 + 303. https://doi.org/10.11975/j.issn.1002-6819.2021.16.027
  • Sun, Q. L., Fang, K. X., & Liu, T. P. (2020). Impact of social norms and public supervision on the willingness and behavior of farming households to participate in rural living environment improvement: Empirical analysis based on generalized continuous ratio model. Resources Science, 42, 2354–2369. https://doi.org/10.18402/resci.2020.12.08
  • Tama, R. A. Z., Ying, L., Yu, M., & Hoque, H. H. (2021). Assessing farmers’ intention towards conservation agriculture by using the extended theory of planned behavior. Journal of Environmental Management, 280, 111654. https://doi.org/10.1016/j.jenvman.2020.111654
  • Tian, Y., & Zhang, J. B. (2013). Regional differentiation research on net carbon effect of agricultural production in China. Journal of Natural Resources, 28, 1298–1309. https://doi.org/10.11849/zrzyxb.2013.08.003
  • Tiglao, N. C. C., De Veyra, J. M., Tolentino, N. J. Y., & Tacderas, M. A. Y. (2020). The perception of service quality among paratransit users in metro Manila using structural equations modelling (SEM) approach. Research in Transportation Economics, 83, 100955. https://doi.org/10.1016/j.retrec.2020.100955
  • Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5
  • Tone, K. (2002). A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1), 32–41. https://doi.org/10.1016/S0377-2217(01)00324-1
  • UN. (2015). Transforming our world: the 2030 agenda for sustainable development. General Assembly 70th Session. https://sustainabledevelopment.un.org/post2015/transformingourworld/publication.
  • Wang, H. Z., Ren, H., Zhang, L. H., Zhao, Y., Liu, Y., He, Q., Li, G., Han, K., Zhang, J., Zhao, B., Ren, B., & Liu, P. (2023). A sustainable approach to narrowing the summer maize yield gap experienced by smallholders in the North China Plain. Agricultural Systems, 204, 103541. https://doi.org/10.1016/j.agsy.2022.103541
  • Wang, Y. D., Liang, J. P., Yang, J., Ma, X., Li, X., Wu, J., Yang, G., Ren, G., & Feng, Y. (2019). Analysis of the environmental behavior of farmers for non-point source pollution control and management: An integration of the theory of planned behavior and the protection motivation theory. Journal of Environmental Management, 237, 15–23. https://doi.org/10.1016/j.jenvman.2019.02.070
  • Wei, X., Khachatryan, H., & Zhu, H. G. (2021). Poyang lake wetlands restoration in China: An analysis of farmers’ perceptions and willingness to participate. Journal of Cleaner Production, 284, 125001. https://doi.org/10.1016/j.jclepro.2020.125001
  • Wu, H. X., Hao, H. T., Lei, H. Z., Ge, Y., Shi, H., & Song, Y. (2021). Farm size, risk aversion and overuse of fertilizer: The heterogeneity of large-scale and small-scale wheat farmers in Northern China. Land, 10(2), 111. https://doi.org/10.3390/land10020111
  • Wu, H. X., Song, Y., Yu, L. S., & Ge, Y. (2023). Uncertainty aversion and farmers’ innovative seed adoption: Evidence from a field experiment in rural China. Journal of Integrative Agriculture, 22(6), 1928–1944. https://doi.org/10.1016/j.jia.2023.04.004
  • Wu, Y. Z., & Xu, Z. Y. (2019). Study on the transformation of cropland protection under the background of rehabilitation system. Resources Science, 41, 9–22. https://doi.org/10.18402/resci.2019.01.02
  • Xiao, L., Liu, J. Y., & Ge, J. W. (2021). Dynamic game in agriculture and industry cross-sectoral water pollution governance in developing countries. Agricultural Water Management, 243, 106417. https://doi.org/10.1016/j.agwat.2020.106417
  • Xie, H. L., Huang, Y. Q., Choi, Y., & Shi, J. (2021). Evaluating the sustainable intensification of cultivated land use based on emergy analysis. Technological Forecasting and Social Change, 165, 120449. https://doi.org/10.1016/j.techfore.2020.120449
  • Xu, J. B., Wang, Y., & Li, C. X. (2021). Reasons behind the paradox between farmers’ willingness and their behaviors of applying organic fertilizer: A case study of Heilongjiang Province. Research of Agricultural Modernization, 42, 474–485. https://doi.org/10.13872/j.1000-0275.2021.0062
  • Xu, Z., He, P., Yin, X. Y., Huang, Q., Ding, W., Xu, X., & Struik, P. C. (2023). Can the advisory system nutrient expert® balance productivity, profitability and sustainability for rice production systems in China? Agricultural Systems, 205, 103575. https://doi.org/10.1016/j.agsy.2022.103575
  • Yazdanpanah, M., Feyzabad, F. R., Forouzani, M., Mohammadzadeh A, S., & Burton, R. J. F. (2015). Predicting farmers’ water conservation goals and behavior in Iran: A test of social cognitive theory. Land Use Policy, 47, 401–407. https://doi.org/10.1016/j.landusepol.2015.04.022
  • Zhang, D., Hu, W. L., Liu, H. B., Du, L. F., Xu, Y, Cheng, Z. H., Sun, S. Y., & Wang, H. Y. (2016). Characteristics of residual mulching film and residual coefficient of typical crops in North China. Transactions of the Chinese Society of Agricultural Engineering, 32, 1–5. https://doi.org/10.11975/j.issn.1002-6819.2016.03.001
  • Zhang, J. P. (1993). Structural equation modelling: A new kind of statistical and research method. Acta Psychologica Sinica, 25, 93–10.
  • Zhang, J. Q., Yan, T. W., & Zhang, T. C. (2021). Analysis on the response mechanism and decision-making factors of farmers’ investment in rural waste treatment. Resources and Environment in the Yangtze Basin, 30, 2521–2532. https://doi.org/10.11870/cjlyzyyhj202110020
  • Zhao, L., Wu, D. T., Wang, Z. H., Qu, L. P., & Yu, W. (2018). Spatio-temporal pattern and influencing factors of the allocation of rural basic education resources in China. Economic Geography, 38, 39–49. https://doi.org/10.15957/j.cnki.jjdl.2018.11.005
  • Zhao, X., Ma, X. W., & Shang, Y. P. (2022). Green economic growth and its inherent driving factors in Chinese cities: Based on the Metafrontier-global-SBM super-efficiency DEA model. Gondwana Research, 106, 315–328. https://doi.org/10.1016/j.gr.2022.01.013
  • Zhou, H., Chen, Y., Liu, Y. Z., Wang, Q., & Liang, Y. (2022). Farmers’ adaptation to heavy metal pollution in farmland in mining areas: The effects of farmers’ perceptions, knowledge and characteristics. Journal of Cleaner Production, 365, 132678. https://doi.org/10.1016/j.jclepro.2022.132678
  • Zhu, L. Y. (2020). Study on annual yield and resource utilization of wheat and maize under different planting systems and sub-soil plastic film mulching in Hebei Plain. Baoding: Master Dissertation of Hebei Agricultural University, 56. https://doi.org/10.27109/d.cnki.ghbnu.2020.000196.
  • Zuo, L., Zhang, Z., Carlson, K. M., MacDonald, G. K., Brauman, K. A., Liu, Y., Zhang, W., Zhang, H., Wu, W., Zhao, X., Wang, X., Liu, B., Yi, L., Wen, Q., Liu, F., Xu, J., Hu, S., Sun, F., Gerber, J. S., & West, P. C. (2018). Progress towards sustainable intensification in China challenged by land-use change. Nature Sustainability, 1(6), 304–313. https://doi.org/10.1038/s41893-018-0076-2