欠发达农区村域经济对产业集聚区的响应机制研究——以河南省王胖庄为例

The Response Mechanism of Village-Level Economy on Industrial Agglomeration Area in Less Developed Rural Area: A Case Study of Wangpangzhuang Village,Kaifeng County,Henan Province

以河南省开封县黄龙产业集聚区相邻的王胖庄为研究区域,利用实地调研数据,采用统计方法和SPSS17.0软件计量分析,探讨了村域经济对产业集聚区的响应机制。①产业升级。农户从事第二、三产业的人数增多。同时,粮食作物逐渐转向经济作物。②职业转化。通过务工、自主创业以及外出务工回流的方式实现了村域人口在就业空间上的转移。③思想冲击。耕地的重要程度降低,从事非农产业的积极性提升,生活方式高级化,向往城市生活的愿望强烈。④分化加剧。面对外界刺激,农户逐渐分化为发展型,稳定型和衰退型。⑤农户对产业集聚区的响应程度与核心劳动力年龄、人均耕地面积呈负相关,与劳动力教育年限、劳动力数量呈正相关。

The paper takes wangpangzhuang village as the study area which is proximate to Huanglong industrial agglomeration area in Kaifeng county, Henan province, and uses field survey data by adopting statistical methods and econometric software SPSS17.0 to explore the response mechanism of-village-level economy on industrial agglomeration area.（1） The industrial structure upgraded. The proportion of primary industry declines, the second and tertiary industry rises. Within the primary industry, the weight of industrial crops increases, and the proportion of food crops falls. （2）The occupation shift quickened. The villagers transfer from agriculture to non-agricultural industrial through hiring out for work in industrial agglomeration area and undertaking independent. At the same time, the villagers achieve the transfer of employment space; there is a trend to flow industrial agglomeration area. （3） Ideas impacted. Industrial agglomeration area is heterogeneity to stimulate thinking of households, thus it could produce a larger transformation： weakening importance of land, enhancing enthusiasm of non-agricultural industries, improving lifestyle, and inspiring desire in city life. （4）Intensifying differentiation. The three type household, is developmental household, stable household and declining household are the results of response differences to industrial agglomeration area. （5）Some other factors. Meanwhile, there are negative correlations between response degree and the core labor force＇ age, the per capita land area, however, there are positive correlations with average education level of labor force, labor force number.