|
| 文章编号：1672-3104(2018)05-0107-10 |
| |
|
多尺度城镇化对农业碳生产率的影响及其区域分异特征研究——基于SFA、E指数与SDM的实证 |
| |
程琳琳1,2，张俊飚1,2，何可1,2 |
| |
|
（1. 华中农业大学经济管理学院，湖北武汉，430070；
2. 湖北农村发展研究中心，湖北武汉，430070） |
| |
| 摘 要： 以1997—2014年中国31省区面板数据为样本，采用随机前沿分析方法测算农业碳生产率，借助熵指数构建多尺度城镇化指标，在此基础上，进一步运用空间杜宾模型实证检验了城镇化对农业碳生产率的直接影响与间接溢出效应及其区域分异特征。结果发现，多维度城镇化是抑制农业碳生产率的主要力量之一，某一地区农业碳生产率会同时受到本地区和周边地区城镇化的影响，甚至邻近地区的溢出效应要远远高于本地区的直接影响。在东、中、西及东北地区，上述情况依然存在，且以西部地区城镇化带来的负面效应最大。因此，应更加重视多尺度城镇化在农业低碳转型中的积极作用。 |
| |
| 关键词： 多尺度城镇化；农业碳生产率；随机前沿分析；熵指数；空间杜宾模型 |
| |
|
| |
Study on the impact of multi-dimensional urbanization on agricultural carbon productivity and its regional differentiation: An empirical study based on SFA, entropy index and SDM |
| |
CHENG Linlin1,2, ZHANG Junbiao1,2, HE Ke1,2 |
| |
（1. College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China;
2. Hubei Rural Development Research Center, Wuhan 430070, China） |
| |
| Abstract: Urbanization is an important influencing factor of ecological efficiency. Taking the panel data of 31 provinces in China from 1997 to 2014 as a sample, the present study measures the agricultural carbon productivity by adopting the stochastic leading-edge analysis method, constructs the multi-dimensional urbanization index by using the entropy index and, on this basis, further conducts an empirical test on the direct impact and indirect spillover effects of multi-dimensional urbanization on agricultural carbon productivity as well as the characteristics of their regional differentiation. Results show that multi-dimensional urbanization plays an important role in promoting agricultural carbon productivity, that the agricultural carbon productivity in a given area is affected not only by urbanization in the region, but also by that in the surrounding areas, and that even the latter’s spillover effect is much larger than that of the former. For China’s four regions, the above characteristics still exist, and the negative effects brought about by the multi-dimensional urbanization in the western region is the largest. Therefore, we should pay more attention to the positive role of low-carbon transformation promoted by multi-dimensional urbanization. |
| |
Key words: multi-dimensional urbanization; agricultural carbon productivity; stochastic leading-edge analysis; entropy index; spatial Durbin model (SDM) |
| |
|
|
