MÔ HÌNH ĐÁNH GIÁ HIỆU QUẢ KINH TẾ - SINH THÁI PHỤC VỤ PHÁT TRIỂN NÔNG NGHIỆP BỀN VỮNG TRÊN CÂY LÚA TẠI HUYỆN PHÙ MỸ, TỈNH BÌNH ĐỊNH
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Tóm tắt
AN EFFICIENCY ASSESSMENT MODEL INTEGRATING ECOLOGICAL AND SOCIO-ECONOMIC FACTORS FOR SUSTAINABLE AGRICULTURAL DEVELOPMENT: THE CASE OF RICE CULTIVATION IN PHU MY DISTRICT, BINH DINH PROVINCE
For the sustainable agricultural development at the district scale, the assessment of ecological economic models allows the effects of natural resources and socio-economic limitations in the territory to the preservation of the production types’ efficiency. In the integration of Analytical Hierarchical Process method and Geographical Information System, we constructed an efficiency assessment model intergrating (i) ecological suitability evaluation, and (ii) socio-economic efficiency analysis. This study is applied with rice cultivation in Phu My district, Binh Dinh province in the year of 2019. The results was divided the study area into 20 efficiency degrees based the multiplication of 04 ecological factors and 05 socio-economic factors. In which, 8.64% of the territorial area at “very high degree” has the suitability of soil conditions, and 22.87% of them at ““very low degree” has a limitations of terrains. The methodological framework of this model has a highly customization capability, and provides the applications for many production types in different regions of Vietnam.
Từ khóa
Efficiency assessment model, ecological suitability, socio-economic analysis, rice cultivation, Phu My, đánh giá hiệu quả tổng hợp, sinh thái, hiệu quả kinh tế - xã hội, lúa, Phù Mỹ
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Tài liệu tham khảo
2. Hu M.M., Li Z.T., Yuan M.J., Fan C., Xia B.C., Spatial differentiation of ecological security and differentiated management of ecological conservation in the Pearl River Delta, China, Ecological Indicators, 2019, 104:439-448.
3. Sun M., Xiuhong L., Rongjin Y., Yi Z., Le Z., Zhenwei S., Qiang L., Dan Z., Comprehensive partitions and different strategies based on ecological security and economic development in Guizhou Province, China, Journal of Cleaner Production, 2020, 274tr.
4. Hardisty P.E., Environmental and Economic Sustainability, CRC Press, 2010, 337 pp.
5. Martius C., Rudenko I., Lamers J.P.A., Vlek P.L.G., Cotton, Water, Salts and Soums: Economic and ecological restructuring in Khorezm, Uzbekistan, Springer Publisher, 2012, 436 pp.
6. Rau A.L., Wehrden H.V., Abson D.J., Temporal Dynamics of Ecosystem Services, Ecological Economics, 2018, 151:122-130.
7. Venkatachalam L., Environmental economics and ecological economics: Where they can converge? Ecological Economics, 2007, 61:550-558.
8. Yang, Y., Hu, N., The spatial and temporal evolution of coordinated ecological and socioeconomic development in the provinces along the Silk Road Economic Belt in China. Sustainable Cities and Society, 2019, p.47.
9. Serenella S., Biagio C., Peter N., A systemic framework for sustainability assessment. Ecological Economics, 2015, 119:314-325.
10. Razieh M., Jan W., Rodger T., Hamid M., Uncertainty analysis in the application of multi-criteria decision-making methods in Australian strategic environmental decisions. Journal of Environmental Planning and Management, 2013, 56(8):1097-1124.
11. Abbas M., Ahmad J., Khalil M.D.N., Zainab K., Norhayati Z., Alireza V., Multiple criteria decision-making techniques and their applications - a review of the literature from 2000 to 2014, Economic Research-Ekonomska Istraživanja, 2015, 28(1):516-571.
12. Sánchez-Lozano J.M., Bernal-Conesa J.A., Environmental management of Natura 2000 network areas through the combination of Geographic Information Systems (GIS) with Multi-Criteria Decision Making (MCDM) methods. Case study in south-eastern Spain, Land Use Policy, 2017, 63:86-97.
13. Saaty, T.L., Decision making-the Analytic Hierarchy and Network Processes (AHP/ANP). Journal of Systems Science and Systems Engineering, 2004, 13:1-35.
14. Abhishek K., Bikash S., Arvind R.S., Yan D., Xiangning H., Praveen K., Bansal R.C., A review of multi criteria decision making (MCDM) towards sustainable renewable energy development, Renewable and Sustainable Energy Reviews, 2017, 69:596-609.
15. Biesecker C., Zahnd W.E., Brandt H.M., Adams S.A., Eberth J.M., A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions. Preventing Chronic Disease: Public Health Research, Practice and Policy, 2020, tr.17.
16. Saaty, T. L., and Vargas, L. G., Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks (2nd ed.), Springer US. Electronic ISBN 978-1-4614-7279-7, 1980.
17. Ngo Duc Minh, Mai Van Trinh, Reiner Wassmann, Tran Dang Hoa, Nguyen Manh Khai, Farmer’s Perception and Farming Practices in Rice Production under Changing Climate: Case Study in Quang Nam Province, VNU Journal of Science: Earth and Environmental Sciences, 2014, 30:25-40.
18. Carstensen, L. W., Bivariate choropleth mapping: The effects of axis scaling. The American Cartographer, 1986, 13(1):27-42.
19. Strode, G., Thornton, B., Mesev, V. Johnson, N., Bivariate mapping: Examples on Florida covariance data using scatterplots from open source visual analytic tools, The Florida Geographer, 2016, 47:1-17.
20. TCVN 8409:2012, Quy trình đánh giá đất nông nghiệp.