基于GIS和能值分析的黑龙江省农业生态经济格局综合评价

    Comprehensive Assessment of the Agricultural Eco-Economic System in Heilongjiang Province Based on GIS and Energy Analysis Theory

    • 摘要: 采用能值分析方法和GIS空间分析技术,基于黑龙江省77个县(市、区)的社会经济统计数据,从时空动态视角评价了黑龙江省域及各县域的农业生态经济格局及其综合发展水平。结果表明,1996-2012年间,黑龙江省农业生态经济系统的能值投入与产出均呈明显的增长趋势,林产品产出能值增长幅度较大。1996-2012年研究区的环境承受压力增大,环境负载率由6.61增加到10.21,净能值产出率由5.37减少到4.79,可持续发展指数由7.47下降到5.43,说明该系统的可持续发展性能正在逐年弱化。在空间格局上,黑龙江省南部地区经济发展水平显著优于北部地区,但其农业生态环境水平和系统可持续能力低于北部地区。为了增加黑龙江省农业生态系统的可持续发展能力,未来需进一步调整农业结构,优化资源配置的投入,提高资源利用效率,降低环境负载率,使农业生态经济系统逐渐步入健康可持续发展轨道。

       

      Abstract: Based on energy analysis theory, GIS spatial analysis technology and the socio-economic statistic data available of the 77 counties of Heilongjiang Province, comprehensive assessment was done, from the angle of spatio-temporal dynamics, of structures and overall development levels of the agro-eco-economic systems of Heilongjiang and its 77 counties. Results show that both the input and output in energy value of the agro-eco-economic system of the province displayed obvious growing trends, especially that of the energy output of the forestry during 1996-2012. Moreover, the agro-eco-environment of the studied region was exposed to an increasing pressure. For example, the environmental loading factor increased from 6.61 to 10.21, the net energy output decreased from 5.37 to 4.79, and the energy sustainable development index declined from 7.47 to 5.43, all demonstrating that the system was gradually weakening in sustainable development performance. Spatially, the economic development level in the southern part of the province was significantly higher than that in the northern part. However, a reverse trend was found in agricultural ecological environment and sustainable development capacity. In order to bring the agricultural eco-economic system onto the track of sustainable and stable development, it is essential in future to further readjust the agricultural structure, optimize resources allocation, improve resources utilization efficiency, and reduce the environmental load.

       

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