Abstract
Green technology aims to follow the ecological principles and ecological economic laws, save resources and energy, and avoid, eliminate, or reduce the pollution and destruction of the ecological environment. Agricultural green innovation technology provides a new impetus and opportunity to promote the coordinated development of economy, society, and ecological resources. This study investigates the relationship between land-use intensification and agricultural green development and explores the moderating effect of agricultural technological progress on this relationship. Using panel data from 30 Chinese provinces spanning 2011 to 2020, land-use intensification was quantified using indices of agricultural capital, labor, and energy intensities, and agricultural green development was assessed using a comprehensive index system. The entropy method, non-linear models, and group regression analyses were employed. Our findings reveal a complex, non-linear relationship between land-use intensification and green agricultural development. Specifically, we identified an inverted U-shaped relationship between capital and energy factor intensification and agricultural green development. This was positively moderated by agricultural technological progress. Conversely, a U-shaped relationship is observed with labor factors, with agricultural technological progress diminishing its positive impact. This study suggests that when a high degree of factor intensification has a crowding-out and substitution effect on agricultural green development, land-use intensification needs to be controlled within an optimal range. This research bolsters the theory of land-use intensification and sustainable agricultural green innovation technology. Furthermore, it advocates a balance between productivity and environmental protection and may guide government strategies to optimize land-use policies and promote green technologies for sustainable agriculture.
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References
Andrade, J. F., Ermacora, M., & Satorre, E. H. (2022). Assessing benefits of land use intensification on extensive grain cropping systems of the pampas. European Journal of Agronomy, 135, 126484. https://doi.org/10.1016/j.eja.2022.126484
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29, 3–30. https://doi.org/10.1257/jep.29.3.3
Beckmann, M., Gerstner, K., Akin-Fajiye, M., Ceaușu, S., Kambach, S., Kinlock, N. L., Phillips, H. R. P., Verhagen, W., Gurevitch, J., Klotz, S., et al. (2019). Conventional land-use intensification reduces species richness and increases production: A global meta-analysis. Global Change Biology, 25, 1941–1956. https://doi.org/10.1111/gcb.14606
Bhakta, I., Phadikar, S., & Majumder, K. (2019). State-of-the-art technologies in precision agriculture: A systematic review. Journal of the Science of Food and Agriculture, 99, 4878–4888. https://doi.org/10.1002/jsfa.9693
Bonaccorsi, A., Apreda, R., & Fantoni, G. (2020). Expert biases in technology foresight. Why they are a problem and how to mitigate them. Technological Forecasting and Social Change, 151, 119855. https://doi.org/10.1016/j.techfore.2019.119855
Chen, C., & Zhang, H. (2023). Evaluation of green development level of mianyang agriculture, based on the entropy weight method. Sustainability, 15, 7589. https://doi.org/10.3390/su15097589
Coomes, O. T., Barham, B. L., MacDonald, G. K., Ramankutty, N., & Chavas, J.-P. (2019). Leveraging total factor productivity growth for sustainable and resilient farming. Nature Sustainability, 2, 22–28. https://doi.org/10.1038/s41893-018-0200-3
Deng, H., Jing, X., & Shen, Z. (2022). Internet technology and green productivity in agriculture. Environmental Science and Pollution Research, 29, 81441–81451. https://doi.org/10.1007/s11356-022-21370-z
Didham, R. K., Barker, G. M., Bartlam, S., Deakin, E. L., Denmead, L. H., Fisk, L. M., Peters, J. M. R., Tylianakis, J. M., Wright, H. R., & Schipper, L. A. (2015). Agricultural intensification exacerbates spillover effects on soil biogeochemistry in adjacent forest remnants. PLoS ONE, 10(1), e0116474. https://doi.org/10.1371/journal.pone.0116474
Dorneanu, M., & Petrariu, I.-R. (2021). Sustainable resilience for small farmers: The best way to protect food security. Proceedings of the International Conference on Business Excellence, 15, 564–569. https://doi.org/10.2478/picbe-2021-0052
Duro, J. A., Lauk, C., Kastner, T., Erb, K.-H., & Haberl, H. (2020). Global inequalities in food consumption, cropland demand and land-use efficiency: A decomposition analysis. Global Environmental Change, 64, 102124. https://doi.org/10.1016/j.gloenvcha.2020.1021243
Eanes, F., Singh, A. S., Bulla, B. R., Ranjan, P., Fales, M., Wickerham, B., Doran, P., & Prokopy, L. (2019). Crop advisers as conservation intermediaries: Perceptions and policy implications for relying on nontraditional partners to increase U.S. farmers’ adoption of soil and water conservation practices. Land Use Policy, 81, 360–370. https://doi.org/10.1016/j.landusepol.2018.10.054
Erb, K.-H., Haberl, H., Jepsen, M. R., Kuemmerle, T., Lindner, M., Müller, D., Verburg, P. H., & Reenberg, A. (2013). A conceptual framework for analysing and measuring land-use intensity. Current Opinion in Environmental Sustainability, 5, 464–470. https://doi.org/10.1016/j.cosust.2013.07.010
Fan, S., Brzeska, J., Keyzer, M., & Halsema, A. (2013). From subsistence to profit: Transforming smallholder farms. International Food Policy Research Institute.
FAO, O. (2021). OECD-FAO Agricultural Outlook 2021–2030. OECD-FAO Agricultural Outlook.
Feng, S., He, W., & Li, F. (2020). Model detection and estimation for varying coefficient panel data models with fixed effects. Computational Statistics & Data Analysis, 152, 107054. https://doi.org/10.1016/j.csda.2020.107054
Fernholm, T., & Marshall, A. (1963). Principles of Economics. Ekonomisk Tidskrift, 65, 129. https://doi.org/10.2307/3438528
Gong, B. (2020). New growth accounting. American Journal of Agricultural Economics, 102, 641–661. https://doi.org/10.1002/ajae.12009
Guo, H., & Li, S. (2022). Environmental regulation, spatial effect and agricultural green development. R&D Management, 34, 54–67. https://doi.org/10.13581/j.cnki.rdm.20210715
Guo, H., Gu, F., Peng, Y., Deng, X., & Guo, L. (2022). Does digital inclusive finance effectively promote agricultural green development?—A case study of China. International Journal of Environmental Research and Public Health, 19(12), 6982. https://doi.org/10.3390/ijerph19126982
Hou, D., & Wang, X. (2022). Measurement of agricultural green development level in the three provinces of northeast China under the background of rural vitalization strategy. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2022.824202
Hu, X., Liu, M., & Wen, G. (2022). Spatial-temporal variability of coupling coordination between intensive use of cultivated land and ecological efficiency in China. Resources and Environment in the Yangtze Basin, 31, 2282–2294. https://doi.org/10.11870/cjlyzyyhj202210016
Janker, J., & Mann, S. (2018). Understanding the social dimension of sustainability in agriculture: A critical review of sustainability assessment tools. Environmental Development and Sustainability, 22, 1671–1691. https://doi.org/10.1007/s10668-018-0282-0
Ke, H., Yang, B., & Dai, S. (2022). Does intensive land use contribute to energy efficiency?—Evidence based on a spatial durbin model. International Journal of Environmental Research and Public Health, 19, 5130. https://doi.org/10.3390/ijerph19095130
Li, G., Fan, L., & Feng, Z. (2014). Capital accumulation, institutional change and agricultural growth: An empirical estimation of China’s agricultural growth and capital stock from 1978 to 2011. Journal of Management World, 67–79+92. https://doi.org/10.19744/j.cnki.11-1235/f.2014.05.006
Liang, K., & Luo, L. (2023). Measurement of China’s green development level and its spatial differentiation in the context of carbon neutrality. PLoS ONE, 18, e0284207. https://doi.org/10.1371/journal.pone.0284207
Liang, L., & Xu, K. (2022). Convergence analysis of regional sustainable innovation efficiency in China. Environmental Development and Sustainability, 25, 2758–2776. https://doi.org/10.1007/s10668-022-02159-z
Liang, X., Jin, X., Xu, X., & Zhou, Y. (2022). A stage of cultivated land use towards sustainable intensification in china: Description and identification on anti-intensification. Habitat International, 125, 102594. https://doi.org/10.1016/j.habitatint.2022.102594
Liu, C., Li, W., Xu, J., Zhou, H., Li, C., & Wang, W. (2022). Global trends and characteristics of ecological security research in the early 21st century: A literature review and bibliometric analysis. Ecological Indicators, 137, 108734. https://doi.org/10.1016/j.ecolind.2022.108734
Liu, Y., Sun, D., Wang, H., Wang, X., Yu, G., & Zhao, X. (2020). An evaluation of China’s agricultural green production: 1978–2017. Journal of Cleaner Production, 243, 118483. https://doi.org/10.1016/j.jclepro.2019.118483
Ma, Y., Zhang, Y., & Song, S. (2023). Trends of energy consumption and carbon emissions and potential of energy saving and emission reduction of grain production in China from the perspective of technological progress. World Agriculture, 530, 67–82. https://doi.org/10.13856/j.cn11-1097/s.2023.06.007
Manning, P., Gossner, M. M., Bossdorf, O., Allan, E., Zhang, Y.-Y., Prati, D., Blüthgen, N., Boch, S., Böhm, S., Börschig, C., Hölzel, N., Jung, K., Klaus, V. H., Klein, A. M., Kleinebecker, T., Krauss, J., Lange, M., Müller, J., Pašalić, E., … Fischer, M. (2015). Grassland management intensification weakens the associations among the diversities of multiple plant and animal taxa. Ecology, 96(6), 1492–1501. https://doi.org/10.1890/14-1307.1
Mastrangelo, M. E., & Laterra, P. (2015). From biophysical to social-ecological trade-offs: Integrating biodiversity conservation and agricultural production in the Argentine Dry Chaco. Ecology and Society, 20(1). https://doi.org/10.5751/es-07186-200120
Moghaddasi, R., & Pour, A. A. (2016). Energy consumption and total factor productivity growth in Iranian agriculture. Energy Reports, 2, 218–220. https://doi.org/10.1016/j.egyr.2016.08.004
Nziguheba, G., Adewopo, J., Masso, C., Nabahungu, N. L., Six, J., Sseguya, H., Taulya, G., & Vanlauwe, B. (2021). Assessment of sustainable land use: Linking land management practices to sustainable land use indicators. International Journal of Agricultural Sustainability, 20, 265–288. https://doi.org/10.1080/14735903.2021.1926150
Qin, C., Wang, J., Ge, C., & Su, J. (2019). Simulating the cost-effectiveness of china’s green transition based on emission reduction targets during the 12th five-year plan period. Journal of Cleaner Production, 208, 19–34. https://doi.org/10.1016/j.jclepro.2018.10.062
Raven, P. H., & Wagner, D. L. (2021). Agricultural intensification and climate change are rapidly decreasing insect biodiversity. Proceedings of the National Academy of Sciences USA, 118, e2002548117. https://doi.org/10.1073/pnas.2002548117
Sharma, A., Jain, A., Gupta, P., & Chowdary, V. (2021). Machine learning applications for precision agriculture: A comprehensive review. IEEE Access, 9, 4843–4873. https://doi.org/10.1109/ACCESS.2020.3048415
Shen, J., Zhu, Q., Jiao, X., Ying, H., Wang, H., Wen, X., Xu, W., Li, T., Cong, W., Liu, X., Hou, Y., Cui, Z., Oenema, O., Davies, W. J., & Zang, F. (2020). Agriculture Green Development: A model for China and the world. Frontiers of Agricultural Science and Engineering, 7(1), 5. https://doi.org/10.15302/j-fase-2019300
Smith, L. E. D. (2020). Policy options for agriculture green development by farmers in China. Frontiers in Agricultural Science and Engineering, 7, 90. https://doi.org/10.15302/j-fase-2019290
Solow, R. M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39, 312. https://doi.org/10.2307/1926047
Tang, L., & He, G. (2021). How to improve total factor energy efficiency? An empirical analysis of the Yangtze River economic belt of China. Energy, 235, 121375. https://doi.org/10.1016/j.energy.2021.121375
Wan, M., Kuang, H., Yang, Y., He, B., Zhao, S., Wang, Y., & Huo, J. (2023). Evaluation of agricultural green development based on gini coefficient and hesitation fuzzy multi-attribute decision-making: The case of China. Agriculture (basel), 13, 699. https://doi.org/10.3390/agriculture13030699
Wang, X., Hua, C., & Miao, J. (2022). The spatial effect of factor market distortion on green agriculture development in China. Energy Sources, Part B: Economics, Planning, and Policy. https://doi.org/10.1080/15567036.2022.202757
Wang, H., Wang, X., Sarkar, A., & Zhang, F. (2021). How capital endowment and ecological cognition affect environment-friendly technology adoption: A case of apple farmers of Shandong Province, China. International Journal of Environmental Research and Public Health, 18(14), 7571. https://doi.org/10.3390/ijerph18147571
Wang, J., Sun, K., Ni, J., & Xie, D. (2020). Evaluation and factor analysis of the intensive use of urban land based on technical efficiency measurement—A case study of 38 districts and counties in Chongqing. China. Sustainability, 12, 8623. https://doi.org/10.3390/su12208623
Wang, L., Sun, Y., & Xu, D. (2023a). Long-term equilibrium and short-term dynamic between green technology innovation and high quality green development. Journal of Technology Economics, 42, 1–15.
Wang, K.-L., Xu, R.-Y., Cheng, Y.-H., Miao, Z., & Sun, H.-P. (2023b). Understanding the overall difference, distribution dynamics and convergence trends of green innovation efficiency in China’s eight urban agglomerations. Ecological Indicators, 148, 110101. https://doi.org/10.1016/j.ecolind.2023.110101
Wei, Q., Zhang, B., & Jin, S. (2018). A study on construction and regional comparison of agricultural green development index in China. Issues in Agricultural Economy, 11, 11–20. https://doi.org/10.13246/j.cnki.iae.2018.11.002
Wu, H., Qiu, Y., Yin, L., Liu, S., Zhao, D., & Zhang, M. (2022). Effects of China’s land-intensive use on carbon emission reduction: A new perspective of industrial structure upgrading. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2022.1073565
Yang, T., Zhu, Y., & Wang, Y. (2020). Land use intensification, technology progress and agricultural production efficiency. Agricultural Economics and Management, 1, 54–65. https://kns.cnki.net/kcms2/article/abstract?v=C06iYwc_NfQmJ15EvMl6ihOup7yI6VUUeqt4dckh0wXTh-XopqAOd7rnA9yrIyyWFocuXh1avDReeb3SRNjIWsZvKD6sfOOTFkDF4SYDd_cOz8LFH8-eKpQnssmB4lvJ7GCO0FyfTJU=&uniplatform=NZKPT&flag=copy
Yang, T., Cheng, H., Zhao, H., & Cadasse, D. (2022). Dynamic evaluation of intensive land use based on objective empowerment by entropy method and neural network algorithm. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/2429826
Yin, J., & Yuan, J. (2022). DPSIR-TOPSIS model-based assessment of green development performance in Beijing, Tianjin, and Hebei. Advances in Engineering Technology Research, 1, 544. https://doi.org/10.56028/aetr.1.2.544
Yin, C., Li, F., Wang, S., & Hao, A. (2021). The concept, connotation, and principles of agricultural green development in China. Chinese Journal of Agricultural Resources and Regional Planning, 42, 1–6.
Yu, W., & Xi, D. (2021). Research on the measurement of green development level of agriculture and animal husbandry in Haixi prefecture. E3S Web of Conferences, 236, 04001. https://doi.org/10.1051/e3sconf/202123604001
Yu, C., Wenxin, L., Khan, S. U., Yu, C., Jun, Z., Yue, D., & Zhao, M. (2020). Regional differential decomposition and convergence of rural green development efficiency: Evidence from China. Environmental Science and Pollution Research, 27, 22364–22379. https://doi.org/10.1007/s11356-020-08805-1
Zhang, L., & Li, Z. (2022). Changes and driving factors of cultivated land use intensity in Yellow River Delta. Chinese Journal of Agricultural Resources and Regional Planning, 43, 124–134.
Zhao, Y., Zhao, X., Ning, J., & Jiang, B. (2020). Study on the intensive use of agricultural land in northeast China on city scale. Chinese Journal of Agricultural Resources and Regional Planning, 41, 169–177. https://doi.org/10.7621/cjarrp.1005-9121.20200321
Zuo, L., Zhang, Z., Carlson, K. M., MacDonald, G. K., Brauman, K. A., Liu, Y., Zhang, W., Zhang, H., Wu, W., Zhao, X., et al. (2018). Progress towards sustainable intensification in China challenged by land-use change. Nature Sustainability, 1, 304–313. https://doi.org/10.1038/s41893-018-0076-2
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This research was funded by the 2022 National Social Science Fund Project: Research on Strategies to Improve the Employment Quality of Young Migrant Workers in Ethnic Regions of Southwest China in the Context of Common Prosperity (Project Number: 22XSH018).
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Conceptualization: T.L. and H.M.M.; methodology: T.L.; software: T.L.; validation: T.L., H.M.M., and Z.L.C.; formal analysis: T.L. and Z.L.C.; investigation: T.L., H.M.M., and Z.L.C.; resources: T.L.; data curation: T.L.; writing—original draft preparation: T.L. and Z.L.C.; writing—review and editing: T.L. and H.M.M.; visualization: T.L.; supervision: H.M.M.; project administration: T.L. and H.M.M.; funding acquisition: T.L. and H.M.M. All authors have read and agreed to the published version of the manuscript.
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Luo, T., Cheng, Z. & Ma, H. Impact of Land-Use Intensification on the Development of Sustainable Agricultural Green Innovation Technology. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-01944-7
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DOI: https://doi.org/10.1007/s13132-024-01944-7