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Chỉ số Đánh giá Phát triển Nông nghiệp Chất lượng Cao: Nghiên cứu Thực nghiệm từ Vành đai Kinh tế Sông Dương Tử, Trung Quốc
Tóm tắt
Nông nghiệp là nền tảng của nền kinh tế quốc gia, và đạt được phát triển nông nghiệp chất lượng cao là một hỗ trợ quan trọng cho sự phát triển kinh tế mạnh mẽ trong thời kỳ hậu đại dịch. Dựa trên triết lý phát triển mới của chính phủ Trung Quốc, nghiên cứu này xây dựng một khung đánh giá "đổi mới-phối hợp-xanh-mở cửa-chia sẻ" cho phát triển nông nghiệp chất lượng cao, đồng thời đánh giá định lượng mức độ phát triển nông nghiệp chất lượng cao trong Vành đai Kinh tế Sông Dương Tử bằng một mô hình tích hợp hệ thống, và khám phá những đặc tính biến đổi không gian cũng như các trở ngại của mức độ phát triển nông nghiệp chất lượng cao trong Vành đai Kinh tế Sông Dương Tử. Nghiên cứu cho thấy mức độ phát triển nông nghiệp chất lượng cao trong Vành đai Kinh tế Sông Dương Tử có xu hướng tăng biến động nói chung, nhưng có sự biến đổi giữa các khu vực. Khía cạnh xanh có tốc độ phát triển nhanh nhất, tiếp theo là đổi mới và chia sẻ. Về mặt đặc điểm không gian, nó dần dần cho thấy một mô hình do các cấp độ cao chi phối và thể hiện các đặc điểm của sự tập trung, nhưng tương quan không gian thì không cao. Về các yếu tố cản trở, tính mở và sự phối hợp là những yếu tố cản trở chính. Xem xét các mô hình phát triển nông nghiệp khác nhau, nghiên cứu đề xuất rằng có thể xem xét hợp tác quốc tế, hợp tác nông nghiệp mới và các chính sách phân biệt để thúc đẩy phát triển nông nghiệp chất lượng cao. Nghiên cứu này cung cấp một khung đánh giá hoàn chỉnh hơn cho các cơ quan chính quyền trong việc đo lường mức độ phát triển nông nghiệp khu vực và hỗ trợ nông nghiệp khu vực đạt được sự phát triển bền vững ở cấp độ chất lượng cao hơn.
Từ khóa
#phát triển nông nghiệp chất lượng cao #Vành đai Kinh tế Sông Dương Tử #đổi mới #phối hợp #xanh #mở cửa #chia sẻTài liệu tham khảo
Adesipo, A., Fadeyi, O., Kuca, K., Krejcar, O., Maresova, P., Selamat, A., & Adenola, M. (2020). Smart and climate-smart agricultural trends as core aspects of smart village functions. Sensors, 20(21), 5977. https://doi.org/10.3390/s20215977
Baležentis, T., Li, T., & Chen, X. (2021). Has agricultural labor restructuring improved agricultural labor productivity in China? A decomposition approach. Socio-Economic Planning Sciences, 76, 100967. https://doi.org/10.1016/j.seps.2020.100967
Baráth, L., Fertő, I., & Bojnec, Š. (2020). The effect of investment, LFA and agri-environmental subsidies on the components of total factor productivity: The case of Slovenian farms. Journal of Agricultural Economics, 71(3), 853–876. https://doi.org/10.1111/1477-9552.12374
Chen, M., & Wang, H. (2021). Import technology sophistication and high-quality economic development: Evidence from city-level data of China. Economic Research-Ekonomska Istraživanja, 35(1), 1106–1141. https://doi.org/10.1080/1331677X.2021.1956362
Chen, P. (2019). Effects of normalization on the entropy-based TOPSIS method. Expert Systems with Applications, 136, 33–41. https://doi.org/10.1016/j.eswa.2019.06.035
Chen, Y., & Fan, Y. (2016). Effects of scale agriculture on product quality and safety: A case study of Heilongjiang reclamation area. Research of Agricultural Modernization, 37(6), 1076–1083. https://doi.org/10.13872/j.1000-0275.2016.0115
Chen, Y., Zhu, M., Lu, J., Zhou, Q., & Ma, W. (2020). Evaluation of ecological city and analysis of obstacle factors under the background of high-quality development: Taking cities in the Yellow River Basin as examples. Ecological Indicators, 118, 106771. https://doi.org/10.1016/j.ecolind.2020.106771
Du, Y., Zhang, D., & Zou, Y. (2020). Sustainable supplier evaluation and selection of fresh agricultural products based on IFAHP-TODIM Model. Mathematical Problems in Engineering, 2020, 1–15. https://doi.org/10.1155/2020/4792679
Fang, L., Hu, R., Mao, H., & Chen, S. (2021). How crop insurance influences agricultural green total factor productivity: Evidence from Chinese farmers. Journal of Cleaner Production, 321, 128977. https://doi.org/10.1016/j.jclepro.2021.128977
He, L. (2018). Vigorously promoting high-quality development and actively building a modern economic system. Macroeconomic Management, (7), 4–6. https://doi.org/10.19709/j.cnki.11-3199/f.2018.07.003
Hou, M., & Yao, S. (2018). Spatial and temporal evolution and trend prediction of agricultural eco-efficiency in China from 1978–2016. Acta Geographica Sinica, 73(11), 2168–2183. https://doi.org/10.11821/dlxb201811009
Huang, X., Cai, X., Chu, X., Ma, L., & Zuo, Z. (2020). Construction and evaluation of the evaluation index system for high-quality agricultural development in China. Chinese Journal of Agricultural Resources and Regional Planning, 41(4), 124–133. https://doi.org/10.7621/cjarrp.1005-9121.20200415
Jin, P. (2018). Research on the economics of “high-quality development.” China Industrial Economics, (4), 5–18. https://doi.org/10.19581/j.cnki.ciejournal.2018.04.001
Kou, J. (2018). Countermeasures and suggestions for promoting high-quality development of China’s agriculture in the new era. Management of Agricultural Science and Technology, 37(3), 1–4. https://doi.org/10.16849/j.cnki.issn1001-8611.2018.03.001
Li, B., & Liu, Z. (2022). Measurement and evolution of high-quality development level of marine fishery in China. Chinese Geographical Science, 32(2), 251–267. https://doi.org/10.1007/s11769-022-1263-7
Li, B., Zhang, J., & Li, H. (2011). Decomposition of spatial and temporal characteristics and influencing factors of agricultural carbon emissions in China. China Population, Resources and Environment, 21(8), 80–86. https://doi.org/10.3969/j.issn.1002-2104.2011.08.013
Li, S., Gong, O., & Yang, S. (2019). Analysis of the agricultural economy and agricultural pollution using the decoupling index in Chengdu, China. International Journal of Environmental Research and Public Health, 16(21), 4233. https://doi.org/10.3390/ijerph16214233
Li, X., & Xu, S. (2020). Research on the measurement of agricultural high quality development level and its spatial distribution characteristics based on the new development concept. Journal of Jiangxi University of Finance and Economics, (6), 78–94. https://doi.org/10.13676/j.cnki.cn36-1224/f.2020.06.009
Li, Y., Fan, Z., Jiang, G., & Quan, Z. (2021). Addressing the differences in Farmers’ willingness and behavior regarding developing green agriculture—A case study in Xichuan County, China. Land, 10(3), 316. https://doi.org/10.3390/land10030316
Liu, T., Li, J., & Huo, J. (2020). Spatial and temporal patterns and influencing factors of high-quality agricultural development in China. Journal of Arid Land Resources and Environment, 34(10), 1–8. https://doi.org/10.13448/j.cnki.jalre.2020.261
Lu, X., Li, Z., Wang, H., Tang, Y., Hu, B., Gong, M., & Li, Y. (2022). Evaluating impact of farmland recessive morphology transition on high-quality agricultural development in China. Land, 11(3), 435. https://doi.org/10.3390/land11030435
Nie, C., & Jian, X. (2020). Measurement of high quality development in China and the analysis of inter-provincial status comparison. The Journal of Quantitative and Technical Economics, 37(2), 26–47. https://doi.org/10.13653/j.cnki.jqte.2020.02.002
Pawley, M. D. M., & McArdle, B. H. (2021). Inferences with spatial autocorrelation. Austral Ecology, 46(6), 942–949. https://doi.org/10.1111/aec.13008
Qin, X. (2020). A study on the measurement and spatial differences of the level of high-quality development of Chinese agriculture—based on the perspective of the five development concepts. Journal of Chinese Agricultural Mechanization, 41(12), 189–195. https://doi.org/10.13733/j.jcam.issn.2095-5553.2020.12.030
Ren, B., & Li, Y. (2018). The construction of China’s high-quality development judging system in the new era and its transformation path. Journal of Shaanxi Normal University (philosophy and Social Sciences Edition), 47(3), 105–113. https://doi.org/10.15983/j.cnki.sxss.2018.0421
Reza Anik, A., Rahman, S., & Sarker, J. R. (2020). Five decades of productivity and efficiency changes in world agriculture (1969–2013). Agriculture, 10(6), 200. https://doi.org/10.3390/agriculture10060200
Rocha, A., Gonçalves, E., & Almeida, E. (2019). Agricultural technology adoption and land use: Evidence for Brazilian municipalities. Journal of Land Use Science, 14(4–6), 320–346. https://doi.org/10.1080/1747423X.2019.1707312
Shi, B., & Zhang, B. (2018). New era, new dynamic energy, new economy—Analysis of the current high-quality development of China’s economy. Shanghai Journal of Economics, (5), 25–33. https://doi.org/10.19626/j.cnki.cn31-1163/f.2018.05.003
Stewart, T. (1992). A critical survey on the status of multiple criteria decision making theory and practice. Omega, 20(5–6), 569–586. https://doi.org/10.1016/0305-0483(92)90003-P
Streimikis, J., & Baležentis, T. (2020). Agricultural sustainability assessment framework integrating sustainable development goals and interlinked priorities of environmental, climate and agriculture policies. Sustainable Development, 28(6), 1702–1712. https://doi.org/10.1002/sd.2118
Tambo, J. A., & Wünscher, T. (2018). Building farmers’ capacity for innovation generation: Insights from rural Ghana. Renewable Agriculture and Food Systems, 33(2), 116–130. https://doi.org/10.1017/S1742170516000521
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
Wang, B., & Zhang, W. (2018). Inter-provincial differences and influencing factors of agricultural eco-efficiency in China: A panel data analysis based on 31 provinces from 1996–2015. Chinese Rural Economy, (1), 46–62.
Wang, G., Zhang, L., Sun, Y., Yang, Y., & Han, C. (2020). Evaluation on the allocative efficiency of agricultural factors in the five Central Asian countries. Journal of Geographical Sciences, 30(11), 1896–1908. https://doi.org/10.1007/s11442-020-1817-5
Wang, H., & Li, B. (2021). Environmental regulations, capacity utilization, and high-quality development of manufacturing: An analysis based on Chinese provincial panel data. Scientific Reports, 11(1), 19566. https://doi.org/10.1038/s41598-021-98787-y
Wang, S., Liu, J., & Qin, X. (2022a). Financing constraints, carbon emissions and high-quality urban development—Empirical evidence from 290 Cities in China. International Journal of Environmental Research and Public Health, 19(4), 2386. https://doi.org/10.3390/ijerph19042386
Wang, Z., Huang, L., Yin, L., Wang, Z., & Zheng, D. (2022b). Evaluation of sustainable and analysis of influencing factors for agriculture sector: Evidence from Jiangsu Province, China. Frontiers in EnvironMental Science, 10, 836002. https://doi.org/10.3389/fenvs.2022.836002
Xiao, Q., Zhou, Z., & Luo, Q. (2019). High-quality agricultural development in the Yangtze River Economic Belt in the new period: Problems and countermeasures. Chinese Journal of Agricultural Resources and Regional Planning, 40(12), 72–80. https://doi.org/10.7621/cjarrp.1005-9121.20191210
Xin, L., & An, X. (2019). Construction and measurement analysis of evaluation system for high-quality development of agriculture in China. Economic Review Journal, (05), 109–118. https://doi.org/10.16528/j.cnki.22-1054/f.201905109
Xu, X., Huang, X., Huang, J., Gao, X., & Chen, L. (2019). Spatial–temporal characteristics of agriculture green total factor productivity in China, 1998–2016: Based on more sophisticated calculations of carbon emissions. International Journal of Environmental Research and Public Health, 16(20), 3932. https://doi.org/10.3390/ijerph16203932
Xu, X., Zhang, L., Chen, L., & Liu, C. (2020). The role of soil N2O emissions in agricultural green total factor productivity: An empirical study from China around 2006 when agricultural tax was abolished. Agriculture, 10(5), 150. https://doi.org/10.3390/agriculture10050150
Yang, W. (2018). Implementing the spirit of the Central Economic Work Conference to promote high-quality development. Macroeconomic Management, (2), 13–17. https://doi.org/10.19709/j.cnki.11-3199/f.2018.02.004
Zhang, C., & Liu, Q. (2019). Research on the evaluation and path of high quality development of agriculture in the context of rural revitalization strategy. Economic Forum, (4), 141–146. https://doi.org/10.3969/j.issn.1003-3580.2019.04.021
Zhang, F. (2021). Evaluation study on high-quality integrated development of agriculture in Yangtze River Delta. Journal of Arid Land Resources and Environment, 42(1), 197–202. https://doi.org/10.7621/cjarrp.1005-9121.20210123
Zhao, C. (2017). Promoting China’s economy to achieve high-quality development. Study Times. https://doi.org/10.38216/n.cnki.nxxsb.2017.000176
Zhao, D., & Zhou, H. (2021). Livelihoods, technological constraints, and low-carbon agricultural technology preferences of farmers: Analytical frameworks of technology adoption and farmer livelihoods. International Journal of Environmental Research and Public Health, 18(24), 13364. https://doi.org/10.3390/ijerph182413364
Zheng, D., Hao, S., & Shun, C. (2018). Evaluation of agricultural ecological efficiency and its spatial–temporal differentiation based on DEA-ESDA. Scientia Geographica Sinica, 38(3), 419–427. https://doi.org/10.13249/j.cnki.sgs.2018.03.012
Zhong, S., Li, Y., Li, J., & Yang, H. (2021). Measurement of total factor productivity of green agriculture in China: Analysis of the regional differences based on China. PLoS ONE, 16(9), e0257239. https://doi.org/10.1371/journal.pone.0257239