摘要
【目的】准确定位我国蔗糖产业的国内竞争力地位,寻求发掘产业潜力的途径,为维护蔗区稳定、推动我国蔗糖产业可持续发展提供政策建议。【方法】利用成本利润率、产量和进口量等指标定位我国蔗糖产业国内竞争力现状,并选用面板模型对原料蔗主产区竞争力进行分析。【结果】我国原料蔗主产区的生产投入和产值提高呈正比;甘蔗总产值滞后一期会对甘蔗下期生产产生正影响;蔗糖主产区产量差距不大,产值成本区别不明显。【建议】在我国蔗糖产业缺乏国际竞争力的背景下,应通过合理增加原料蔗生产投入,保持主产区甘蔗总产值的经济惯性,稳健推进主产区甘蔗加工业的资源共享,形成主产区规模效益及有效控制生产加工成本等途径降低进口依赖度,增强蔗糖产业国内竞争力。
【Objective】The purposes of this study were to locate the Chinese competitive position of the cane sugar industry accurately,seek ways for exploring industrial potential and provide suggestions for maintaining stability of the sugarcane areas and promoting the sustainable development of domestic sugarcane industry.【Method】The status of domestic cane sugar industry competitiveness was positioned by making full use of cost-profit ratio,output,imports and other indicators.Based on the panel data model,the competitiveness of major sugarcane producing areas was analyzed.【Result】In major sugarcane producing areas of China,input was in direct proportion to production value;delay of total production value of sugarcane had positive effects on sugarcane production in the next season;the yields and output costs did not vary largely among the major sugarcane producing areas.【Suggestion】Chinese sugar industry lacks international competitiveness,so it is necessary to increase the effective raw sugarcane production investment,maintain the economic inertia of total output in main sugarcane producing areas,promote the processing industry to share resources,establish the effects of scale economy,control the production and processing costs.With these efforts,the dependence on imports can be reduced to improve the domestic competitiveness of the sugar industry.
作者
王劼
王灿雄
朱朝枝
WANG Jie;WANG Can-xiong;ZHU Chao-zhi(Rural Development Institute,Fujian Agriculture and Forestry University,Fuzhou 350002,China;Jinshan College,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出处
《南方农业学报》
CAS
CSCD
北大核心
2018年第4期812-817,共6页
Journal of Southern Agriculture
基金
国家社会科学基金项目(12BJY109)
关键词
蔗糖产业
定位
国内竞争力
面板模型
cane sugar industry
orientation
domestic competitiveness
panel data model
