浙江农业学报 ›› 2021, Vol. 33 ›› Issue (12): 2435-2445.DOI: 10.3969/j.issn.1004-1524.2021.12.24
王博a(), 张永强a,b,*(
), 宫思羽a, 董权瑶a, 付小钊a
收稿日期:
2021-05-04
出版日期:
2021-12-25
发布日期:
2022-01-10
通讯作者:
张永强
作者简介:
* 张永强,E-mail: shangdihenji@163.com基金资助:
WANG Boa(), ZHANG Yongqianga,b,*(
), GONG Siyua, DONG Quanyaoa, FU Xiaozhaoa
Received:
2021-05-04
Online:
2021-12-25
Published:
2022-01-10
Contact:
ZHANG Yongqiang
摘要:
采用DEA-mamlquist指数测算2004—2019年中国17个玉米主产省(区)的全要素生产率,运用联立方程组模型实证检验农村互联网发展对玉米全要素生产率的影响及其作用机理,并分区域探讨其差异性。结果显示:2004—2019年中国玉米全要素生产率年均增长0.2%,主要依靠技术进步的单轨模式驱动。农村互联网的发展显著(P<0.01)提升玉米全要素生产率,主要依靠技术进步和技术效率的协同作用驱动。分区域来看,农村互联网发展对玉米全要素生产率均具有显著(P<0.01)的促进作用,其影响程度由高到低依次为北方春播玉米区>黄淮海平原夏播玉米区>西北灌溉玉米区>西南山地玉米区。建议进一步提高农村互联网的配套设施建设,发挥互联网“连接经济”的优势,应用多元化互联网技术,促进不同生态类型区玉米生产效率的提升。
中图分类号:
王博, 张永强, 宫思羽, 董权瑶, 付小钊. 农村互联网发展对中国玉米全要素生产率的影响[J]. 浙江农业学报, 2021, 33(12): 2435-2445.
WANG Bo, ZHANG Yongqiang, GONG Siyu, DONG Quanyao, FU Xiaozhao. Impact of Internet development in rural area on total factor productivity of maize in China[J]. Acta Agriculturae Zhejiangensis, 2021, 33(12): 2435-2445.
年份 Year | 技术效率 Comprehensive technical efficiency | 技术进步 Technical progress | 纯技术效率 Pure technical efficiency | 规模效率 Scale efficiency | 全要素生产率 Total factor productivity |
---|---|---|---|---|---|
2004—2005 | 1.048 | 1.013 | 0.999 | 1.050 | 1.062 |
2005—2006 | 0.984 | 0.999 | 0.996 | 0.988 | 0.983 |
2006—2007 | 0.985 | 0.962 | 0.975 | 1.010 | 0.947 |
2007—2008 | 1.015 | 0.944 | 1.021 | 0.994 | 0.958 |
2008—2009 | 1.012 | 1.061 | 0.997 | 1.014 | 1.074 |
2009—2010 | 0.989 | 0.903 | 0.977 | 1.012 | 0.893 |
2010—2011 | 0.990 | 1.005 | 1.016 | 0.974 | 0.995 |
2011—2012 | 0.954 | 1.078 | 1.016 | 0.940 | 1.029 |
2012—2013 | 1.034 | 0.982 | 0.981 | 1.054 | 1.015 |
2013—2014 | 1.013 | 0.972 | 1.006 | 1.007 | 0.985 |
2014—2015 | 0.988 | 1.037 | 0.985 | 1.003 | 1.024 |
2015—2016 | 1.012 | 0.970 | 1.031 | 0.982 | 0.981 |
2016—2017 | 0.988 | 0.973 | 0.979 | 1.010 | 0.962 |
2017—2018 | 0.999 | 1.056 | 1.005 | 0.994 | 1.054 |
2018—2019 | 0.991 | 1.103 | 0.995 | 0.996 | 1.094 |
2004—2019 | 1.000 | 1.003 | 0.998 | 1.001 | 1.002 |
表1 2004—2019年我国玉米全要素生产率及其分解
Table 1 Total factor productivity of maize and its decomposition in China from 2004 to 2019
年份 Year | 技术效率 Comprehensive technical efficiency | 技术进步 Technical progress | 纯技术效率 Pure technical efficiency | 规模效率 Scale efficiency | 全要素生产率 Total factor productivity |
---|---|---|---|---|---|
2004—2005 | 1.048 | 1.013 | 0.999 | 1.050 | 1.062 |
2005—2006 | 0.984 | 0.999 | 0.996 | 0.988 | 0.983 |
2006—2007 | 0.985 | 0.962 | 0.975 | 1.010 | 0.947 |
2007—2008 | 1.015 | 0.944 | 1.021 | 0.994 | 0.958 |
2008—2009 | 1.012 | 1.061 | 0.997 | 1.014 | 1.074 |
2009—2010 | 0.989 | 0.903 | 0.977 | 1.012 | 0.893 |
2010—2011 | 0.990 | 1.005 | 1.016 | 0.974 | 0.995 |
2011—2012 | 0.954 | 1.078 | 1.016 | 0.940 | 1.029 |
2012—2013 | 1.034 | 0.982 | 0.981 | 1.054 | 1.015 |
2013—2014 | 1.013 | 0.972 | 1.006 | 1.007 | 0.985 |
2014—2015 | 0.988 | 1.037 | 0.985 | 1.003 | 1.024 |
2015—2016 | 1.012 | 0.970 | 1.031 | 0.982 | 0.981 |
2016—2017 | 0.988 | 0.973 | 0.979 | 1.010 | 0.962 |
2017—2018 | 0.999 | 1.056 | 1.005 | 0.994 | 1.054 |
2018—2019 | 0.991 | 1.103 | 0.995 | 0.996 | 1.094 |
2004—2019 | 1.000 | 1.003 | 0.998 | 1.001 | 1.002 |
变量 Variable | 定义 Definition | 平均数 Mean | 中位数 Median | 最小值 Minimum | 最大值 Maximum | 标准差 Standard deviation |
---|---|---|---|---|---|---|
TFP | 全要素生产率Total factor productivity | 1.030 | 1.000 | 0.359 | 6.148 | 0.366 |
TC | 技术进步Technical progress | 1.025 | 1.000 | 0.359 | 6.148 | 0.347 |
EC | 技术效率Technical efficiency | 1.004 | 1.000 | 0.625 | 2.000 | 0.097 |
ninter | 农村互联网发展水平Development level of Internet in rural area | 0.145 | 0.164 | 0.016 | 0.331 | 0.079 |
dis | 受灾率Disaster rate | 0.235 | 0.204 | 0.012 | 0.689 | 0.148 |
urban | 城镇化率Urbanization rate | 0.463 | 0.471 | 0.156 | 0.696 | 0.113 |
nage | 农村人口老龄化率Aging rate of rural population | 0.049 | 0.049 | 0.028 | 0.086 | 0.010 |
indus | 工业化率Industrialization rate | 0.480 | 0.484 | 0.246 | 0.615 | 0.062 |
struc | 农业结构调整Adjustment of agricultural structure | 0.268 | 0.233 | 0.049 | 0.696 | 0.152 |
finan | 财政支持Financial support | 0.111 | 0.112 | 0.047 | 0.190 | 0.030 |
nj | 农业基础设施Agricultural infrastructure | 11.740 | 11.900 | 9.386 | 12.710 | 0.620 |
表2 变量的描述性统计
Table 2 Descriptive statistics of variables
变量 Variable | 定义 Definition | 平均数 Mean | 中位数 Median | 最小值 Minimum | 最大值 Maximum | 标准差 Standard deviation |
---|---|---|---|---|---|---|
TFP | 全要素生产率Total factor productivity | 1.030 | 1.000 | 0.359 | 6.148 | 0.366 |
TC | 技术进步Technical progress | 1.025 | 1.000 | 0.359 | 6.148 | 0.347 |
EC | 技术效率Technical efficiency | 1.004 | 1.000 | 0.625 | 2.000 | 0.097 |
ninter | 农村互联网发展水平Development level of Internet in rural area | 0.145 | 0.164 | 0.016 | 0.331 | 0.079 |
dis | 受灾率Disaster rate | 0.235 | 0.204 | 0.012 | 0.689 | 0.148 |
urban | 城镇化率Urbanization rate | 0.463 | 0.471 | 0.156 | 0.696 | 0.113 |
nage | 农村人口老龄化率Aging rate of rural population | 0.049 | 0.049 | 0.028 | 0.086 | 0.010 |
indus | 工业化率Industrialization rate | 0.480 | 0.484 | 0.246 | 0.615 | 0.062 |
struc | 农业结构调整Adjustment of agricultural structure | 0.268 | 0.233 | 0.049 | 0.696 | 0.152 |
finan | 财政支持Financial support | 0.111 | 0.112 | 0.047 | 0.190 | 0.030 |
nj | 农业基础设施Agricultural infrastructure | 11.740 | 11.900 | 9.386 | 12.710 | 0.620 |
变量 | TFP | ninter | EC | ninter | TC | ninter |
---|---|---|---|---|---|---|
Variable | ||||||
ninter | 0.481 1*** (0.113 7) | — | 0.408 6*** (0.037 3) | — | 0.492 2*** (0.083 0) | — |
dis | -0.040 7* (0.021 8) | — | -0.022 1*** (0.007 0) | — | -0.029 7* (0.015 8) | — |
urban | 0.195 7* (0.100 6) | — | 0.190 2*** (0.033 0) | — | 0.119 1 (0.073 3) | — |
nage | 1.221 4* (0.706 9) | — | 0.539 6** (-0.227 1) | — | 1.551 3*** (0.513 7) | — |
indus | -0.130 8** (0.055 8) | — | -0.086 9*** (0.017 9) | — | -0.108 9*** (0.040 4) | — |
struc | 0.198 1** (0.086 4) | — | 0.016 6 (0.027 7) | — | 0.247 0*** (0.062 8) | — |
TFP | — | 0.414 3*** (0.044 7) | — | — | — | — |
EC | — | — | — | 1.123 9*** (0.060 5) | — | — |
TC | — | — | — | — | — | 0.556 3*** (0.054 0) |
finan | — | 1.144 3*** (0.104 9) | — | 0.604 9*** (0.085 8) | — | 0.953 2*** (0.108 3) |
nj | — | 0.036 2*** (0.004 9) | — | 0.012 1*** (0.003 9) | — | 0.035 6*** (0.004 7) |
常数项Constant | 0.037 1 (0.082 4) | -0.447 5*** (0.056 7) | -0.012 4 (0.026 6) | -0.163 1*** (0.045 6) | -0.024 1 (0.059 8) | -0.428 9*** (0.055 0) |
R2 | 0.748 7 | 0.633 2 | 0.919 4 | 0.806 5 | 0.798 4 | 0.657 9 |
表3 总样本的回归结果
Table 3 Regression results of total samples
变量 | TFP | ninter | EC | ninter | TC | ninter |
---|---|---|---|---|---|---|
Variable | ||||||
ninter | 0.481 1*** (0.113 7) | — | 0.408 6*** (0.037 3) | — | 0.492 2*** (0.083 0) | — |
dis | -0.040 7* (0.021 8) | — | -0.022 1*** (0.007 0) | — | -0.029 7* (0.015 8) | — |
urban | 0.195 7* (0.100 6) | — | 0.190 2*** (0.033 0) | — | 0.119 1 (0.073 3) | — |
nage | 1.221 4* (0.706 9) | — | 0.539 6** (-0.227 1) | — | 1.551 3*** (0.513 7) | — |
indus | -0.130 8** (0.055 8) | — | -0.086 9*** (0.017 9) | — | -0.108 9*** (0.040 4) | — |
struc | 0.198 1** (0.086 4) | — | 0.016 6 (0.027 7) | — | 0.247 0*** (0.062 8) | — |
TFP | — | 0.414 3*** (0.044 7) | — | — | — | — |
EC | — | — | — | 1.123 9*** (0.060 5) | — | — |
TC | — | — | — | — | — | 0.556 3*** (0.054 0) |
finan | — | 1.144 3*** (0.104 9) | — | 0.604 9*** (0.085 8) | — | 0.953 2*** (0.108 3) |
nj | — | 0.036 2*** (0.004 9) | — | 0.012 1*** (0.003 9) | — | 0.035 6*** (0.004 7) |
常数项Constant | 0.037 1 (0.082 4) | -0.447 5*** (0.056 7) | -0.012 4 (0.026 6) | -0.163 1*** (0.045 6) | -0.024 1 (0.059 8) | -0.428 9*** (0.055 0) |
R2 | 0.748 7 | 0.633 2 | 0.919 4 | 0.806 5 | 0.798 4 | 0.657 9 |
变量 Variable | 北方春播玉米区 Spring maize planting area in north China(n=96) | 黄淮海平原夏播玉米区 Summer maize planting area in Huang-Huai-Hai Plain(n=80) | 西北灌溉玉米区 Northwest irrigated maize area(n=48) | 西南山地玉米区 Southwest mountainous maize area(n=48) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
TFP | EC | TC | TFP | EC | TC | TFP | EC | TC | TFP | EC | TC | |
ninter | 0.899 5*** (0.102 0) | 0.631 6*** (0.027 3) | 0.903 0*** (0.100 9) | 0.571 1*** (0.211 1) | 0.427 3*** (0.065 2) | 0.497 9*** (0.132 9) | 0.413 4*** (0.040 4) | 0.374 2*** (0.023 7) | 0.397 7*** (0.037 1) | 0.267 5*** (0.039 7) | 0.547 4*** (0.057 6) | 0.254 8*** (0.040 8) |
常数项 Constant | -0.102 9 (0.067 7) | 0.010 5 (0.017 6) | -0.105 9 (0.067 6) | 0.010 2 (0.161 0) | 0.161 2*** (0.050 9) | -0.071 8 (0.089 8) | 0.088 1*** (0.026 3) | -0.021 2 (0.016 4) | 0.041 0* (0.024 4) | 0.012 5 (0.011 9) | 0.033 9* (0.018 2) | 0.001 5 (0.012 9) |
R2 | 0.621 1 | 0.904 1 | 0.638 0 | 0.696 8 | 0.915 8 | 0.704 4 | 0.942 1 | 0.978 4 | 0.952 1 | 0.839 5 | 0.924 8 | 0.850 4 |
表4 区域样本的回归结果
Table 4 Regression results of samples in different area
变量 Variable | 北方春播玉米区 Spring maize planting area in north China(n=96) | 黄淮海平原夏播玉米区 Summer maize planting area in Huang-Huai-Hai Plain(n=80) | 西北灌溉玉米区 Northwest irrigated maize area(n=48) | 西南山地玉米区 Southwest mountainous maize area(n=48) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
TFP | EC | TC | TFP | EC | TC | TFP | EC | TC | TFP | EC | TC | |
ninter | 0.899 5*** (0.102 0) | 0.631 6*** (0.027 3) | 0.903 0*** (0.100 9) | 0.571 1*** (0.211 1) | 0.427 3*** (0.065 2) | 0.497 9*** (0.132 9) | 0.413 4*** (0.040 4) | 0.374 2*** (0.023 7) | 0.397 7*** (0.037 1) | 0.267 5*** (0.039 7) | 0.547 4*** (0.057 6) | 0.254 8*** (0.040 8) |
常数项 Constant | -0.102 9 (0.067 7) | 0.010 5 (0.017 6) | -0.105 9 (0.067 6) | 0.010 2 (0.161 0) | 0.161 2*** (0.050 9) | -0.071 8 (0.089 8) | 0.088 1*** (0.026 3) | -0.021 2 (0.016 4) | 0.041 0* (0.024 4) | 0.012 5 (0.011 9) | 0.033 9* (0.018 2) | 0.001 5 (0.012 9) |
R2 | 0.621 1 | 0.904 1 | 0.638 0 | 0.696 8 | 0.915 8 | 0.704 4 | 0.942 1 | 0.978 4 | 0.952 1 | 0.839 5 | 0.924 8 | 0.850 4 |
[1] | 黄季焜. 对近期与中长期中国粮食安全的再认识[J]. 农业经济问题, 2021, 42(1): 19-26. |
HUANG J K. Recognition of recent and mid-long term food security in China[J]. Issues in Agricultural Economy, 2021, 42(1): 19-26.(in Chinese with English abstract) | |
[2] | 闫迪, 郑少锋. 互联网使用能提高农户生产效率吗?: 以陕冀鲁三省蔬菜种植户为例[J]. 南京农业大学学报(社会科学版), 2021, 21(1): 155-166. |
YAN D, ZHENG S F. Can the Internet use improve farmers’ production efficiency? evidence from vegetable growers in Shaanxi, Hebei and Shandong provinces[J]. Journal of Nanjing Agricultural University (Social Sciences Edition), 2021, 21(1): 155-166.(in Chinese with English abstract) | |
[3] | 赵久然, 王荣焕. 美国玉米持续增产的因素及其对我国的启示[J]. 玉米科学, 2009, 17(5): 156-159. |
ZHAO J R, WANG R H. Factors promoting the steady increase of American maize production and their enlightenments for China[J]. Journal of Maize Sciences, 2009, 17(5): 156-159.(in Chinese with English abstract) | |
[4] | 贺建国. “东方红”无人驾驶拖拉机黑土地秀艺[J]. 农机质量与监督, 2020(11): 42. |
HE J G. The “East is Red” unmanned tractor shows off its skills on the black land[J]. Agricultural Machinery Quality & Supervision, 2020(11): 42.(in Chinese) | |
[5] | 朱礼好. 生动预演“未来谁来种地、如何种地?”“北大荒建三江: 碧桂园无人化农场项目”农机无人驾驶作业现场演示会精彩举办[J]. 农机质量与监督, 2020(10): 15-16. |
ZHU L H. Live preview to “Who will farm the land in the future and how?” “Beidahuang Building Three Rivers: Country Garden Unmanned Farm Project” unmanned agricultural machinery field demonstration was held in the Unmanned Farm Project by Country Garden in Jiansanjiang River, the Great Northern Wilderness[J]. Agricultural Machinery Quality & Supervision, 2020(10): 15-16.(in Chinese) | |
[6] | 吴园, 李波, 郝艳睿. 基于随机前沿模型的中国玉米种植业技术效率实证研究[J]. 玉米科学, 2019, 27(4): 181-188. |
WU Y, LI B, HAO Y R. Study on technical efficiency of corn planting industry in China based on stochastic frontier model[J]. Journal of Maize Sciences, 2019, 27(4): 181-188.(in Chinese with English abstract) | |
[7] | 李晶晶, 刘文明, 姜天龙, 等. 玉米主产省玉米生产效率及收敛性分析[J]. 吉林农业大学学报, 2017, 39(4): 494-499. |
LI J J, LIU W M, JIANG T L, et al. Analysis of maize production efficiency and convergence in major maize producing provinces in China[J]. Journal of Jilin Agricultural University, 2017, 39(4): 494-499.(in Chinese with English abstract) | |
[8] | 郭焱, 占鹏, 邓远远, 等. 中国玉米全要素生产率增长分解与空间收敛性[J]. 中国农业大学学报, 2021, 26(1): 185-195. |
GUO Y, ZHAN P, DENG Y Y, et al. Decomposition and spatial convergence of TFP growth of Chinese maize[J]. Journal of China Agricultural University, 2021, 26(1): 185-195.(in Chinese with English abstract) | |
[9] | 乔丹, 陆迁. 不同生态类型区玉米生产技术效率及有偏演进模式[J]. 华南农业大学学报(社会科学版), 2016, 15(5): 28-36. |
QIAO D, LU Q. Analysis of biased technical progress model in different maize production ecological zones[J]. Journal of South China Agricultural University (Social Science Edition), 2016, 15(5): 28-36.(in Chinese with English abstract) | |
[10] | 杨慧莲, 王海南, 韩旭东, 等. 我国玉米种植区域比较优势及空间分布: 基于全国18省1996—2015年数据测算[J]. 农业现代化研究, 2017, 38(6): 921-929. |
YANG H L, WANG H N, HAN X D, et al. Comparative advantage and the spatial distribution of China’s corn producing areas: based on the data of 18 provinces from 1996 to 2015[J]. Research of Agricultural Modernization, 2017, 38(6): 921-929.(in Chinese with English abstract) | |
[11] | 江松颖, 刘颖, 王嫚嫚. 我国谷物全要素生产率的动态演进及区域差异研究[J]. 农业技术经济, 2016(6): 13-20. |
JIANG S Y, LIU Y, WANG M M. A study on the dynamic evolution and regional differences of grain total factor productivity in China[J]. Journal of Agrotechnical Economics, 2016(6): 13-20.(in Chinese) | |
[12] | 郭志超. 我国玉米生产函数及技术效率分析[J]. 经济问题, 2009(11): 74-78. |
GUO Z C. An analysis on corn production function and technical efficiency in China[J]. On Economic Problems, 2009(11): 74-78.(in Chinese with English abstract) | |
[13] | 朱满德, 李辛一, 程国强. 综合性收入补贴对中国玉米全要素生产率的影响分析: 基于省级面板数据的DEA-Tobit两阶段法[J]. 中国农村经济, 2015(11): 4-14. |
ZHU M D, LI X Y, CHENG G Q. The influence of comprehensive income subsidy on total factor productivity of maize in China: DEA-Tobit two-stage method based on provincial panel data[J]. Chinese Rural Economy, 2015(11): 4-14. (in Chinese) | |
[14] | 孙炜, 李谷成, 高雪. 玉米生产成本效率的地区差异及其影响因素: 基于17个主产省2004—2015年的数据[J]. 湖南农业大学学报(社会科学版), 2018, 19(2): 8-15. |
SUN W, LI G C, GAO X. Study on regional differences and influencing factors of maize production cost efficiency: based on the survey data of 17 main producing provinces in 2004-2015[J]. Journal of Hunan Agricultural University (Social Sciences), 2018, 19(2): 8-15. (in Chinese with English abstract) | |
[15] | 王军, 王洪丽, 张雪清. 吉林省玉米生产自然灾害风险评估与气象灾害产量的影响因素研究[J]. 玉米科学, 2011, 19(5): 143-147. |
WANG J, WANG H L, ZHANG X Q. Disaster risk assessment of maize production and influencing factor analysis on the damage yields[J]. Journal of Maize Sciences, 2011, 19(5): 143-147.(in Chinese with English abstract) | |
[16] | 徐建玲, 储怡菲, 周志远. 农业机械化对玉米生产的影响:促进还是抑制?: 基于20个省际面板数据[J]. 农林经济管理学报, 2020, 19(5): 559-568. |
XU J L, CHU Y F, ZHOU Z Y. Impact of agricultural mechanization development on corn production: promoting or restraining?: based on panel data collected in 20 provinces[J]. Journal of Agro-Forestry Economics and Management, 2020, 19(5): 559-568.(in Chinese with English abstract) | |
[17] | 谢冬梅, 汪希成. 我国玉米供需结构的地区差异与生产效率评价[J]. 财经科学, 2017(11): 121-132. |
XIE D M, WANG X C. Regional differences and production efficiency evaluation of corn supply and demand structure in China[J]. Finance & Economics, 2017(11): 121-132.(in Chinese with English abstract) | |
[18] | 彭艳玲, 晏国耀, 马昕娅, 等. 基于能值与改进DEA-EBM模型的 “青贮玉米+养殖”种养结合模式产出效率评估研究: 以四川省 “粮改饲”青贮玉米示范区为例[J]. 干旱区资源与环境, 2019, 33(12): 68-76. |
PENG Y L, YAN G Y, MA X Y, et al. Efficiency evaluation of “silage maize+breeding” integrated mode based on emergy analysis and adjusted DEA-EBM method: empirical evidence from Sichuan Province[J]. Journal of Arid Land Resources and Environment, 2019, 33(12): 68-76.(in Chinese with English abstract) | |
[19] | 朱秋博, 白军飞, 彭超, 等. 信息化提升了农业生产率吗?[J]. 中国农村经济, 2019(4): 22-40. |
ZHU Q B, BAI J F, PENG C, et al. Do information communication technologies improve agricultural productivity?[J]. Chinese Rural Economy, 2019(4): 22-40.(in Chinese with English abstract) | |
[20] | 李欠男, 李谷成. 互联网发展对农业全要素生产率增长的影响[J]. 华中农业大学学报(社会科学版), 2020(4): 71-78. |
LI Q N, LI G C. The impact of Internet development on agricultural total factor productivity growth[J]. Journal of Huazhong Agricultural University (Social Sciences Edition), 2020(4): 71-78. (in Chinese with English abstract) | |
[21] | 刘涛, 王波, 李嘉梁. 互联网、城镇化与农业生产全要素生产率[J]. 农村经济, 2019(10): 129-136. |
LIU T, WANG B, LI J L. Internet, urbanization and agricultural production total factor productivity[J]. Rural Economy, 2019(10): 129-136.(in Chinese) | |
[22] | 胡雅淇, 林海. “互联网+”赋能小农户对接大市场的作用机制及效果[J]. 现代经济探讨, 2020(12): 110-117. |
HU Y Q, LIN H. The mechanism and effect of “Internet+” empowering small farmers to connect with the big market[J]. Modern Economic Research, 2020(12): 110-117.(in Chinese) | |
[23] | 张景娜, 朱俊丰. 互联网使用与农村劳动力转移程度: 兼论对家庭分工模式的影响[J]. 财经科学, 2020(1): 93-105. |
ZHANG J N, ZHU J F. Using the Internet and degree of rural labor transfer: research of the influence on family division[J]. Finance & Economics, 2020(1): 93-105.(in Chinese with English abstract) | |
[24] | 朱喜, 史清华, 盖庆恩. 要素配置扭曲与农业全要素生产率[J]. 经济研究, 2011, 46(5): 86-98. |
ZHU X, SHI Q H, GAI Q E. Misallocation and TFP in rural China[J]. Economic Research Journal, 2011, 46(5): 86-98.(in Chinese with English abstract) | |
[25] | DYKSTRA A A. Adoption of no-till agriculture: the role of information, technology perception, and farmer characteristics in the Ashanti region of Ghana[D]. Texas: Texas A&M University, 2015. |
[26] | 郭美晨, 杜传忠. ICT提升中国经济增长质量的机理与效应分析[J]. 统计研究, 2019, 36(3): 3-16. |
GUO M C, DU C Z. Mechanism and effect of information and communication technology on enhancing the quality of China’s economic growth[J]. Statistical Research, 2019, 36(3): 3-16.(in Chinese with English abstract) | |
[27] |
LENG C X, MA W L, TANG J J, et al. ICT adoption and income diversification among rural households in China[J]. Applied Economics, 2020, 52(33): 3614-3628.
DOI URL |
[28] |
TCHAMYOU V S, ERREYGERS G, CASSIMON D. Inequality, ICT and financial access in Africa[J]. Technological Forecasting and Social Change, 2019, 139: 169-184.
DOI URL |
[29] | 段文斌, 尹向飞. 中国全要素生产率研究评述[J]. 南开经济研究, 2009(2): 130-140. |
DUAN W B, YIN X F. Review of total factor productivity research in China[J]. Nankai Economic Studies, 2009(2): 130-140.(in Chinese) | |
[30] | 郭家堂, 骆品亮. 互联网对中国全要素生产率有促进作用吗?[J]. 管理世界, 2016(10): 34-49. |
GUO J T, LUO P L. Does the Internet promote total factor productivity in China?[J]. Management World, 2016(10): 34-49.(in Chinese) | |
[31] | 肖红波, 王济民. 新世纪以来我国粮食综合技术效率和全要素生产率分析[J]. 农业技术经济, 2012(1): 36-46. |
XIAO H B, WANG J M. Analysis of China’s grain comprehensive technical efficiency and total factor productivity since the new century[J]. Journal of Agrotechnical Economics, 2012(1): 36-46.(in Chinese) | |
[32] | FARE R, GROSSKOPF S, NORRIS M, et al. Productivity growth, technical progress, and efficiency changes in industrialized countries[J]. American Economic Review, 1994, 84(1): 66-83. |
[33] | 郑旭媛, 徐志刚. 资源禀赋约束、要素替代与诱致性技术变迁: 以中国粮食生产的机械化为例[J]. 经济学(季刊), 2017, 16(1): 45-66. |
ZHENG X Y, XU Z G. Endowment restriction, factor substitution and induced technological innovation: a case research on the grain producing mechanization in China[J]. China Economic Quarterly, 2017, 16(1): 45-66.(in Chinese with English abstract) | |
[34] | 程名望, 张家平. 互联网普及与城乡收入差距: 理论与实证[J]. 中国农村经济, 2019(2): 19-41. |
CHENG M W, ZHANG J P. Internet popularization and urban-rural income gap: a theoretical and empirical analysis[J]. Chinese Rural Economy, 2019(2): 19-41.(in Chinese with English abstract) | |
[35] | 刘勍勍, 左美云, 刘满成. 基于期望确认理论的老年人互联网应用持续使用实证分析[J]. 管理评论, 2012, 24(5): 89-101. |
LIU Q Q, ZUO M Y, LIU M C. Analysis of continuance usage model for the elderly using Internet[J]. Management Review, 2012, 24(5): 89-101.(in Chinese with English abstract) | |
[36] | 仇焕广, 徐志刚, 吕开宇, 等. 中国玉米产业经济研究[M]. 北京: 中国农业出版社, 2015. |
[1] | 单长林, 周圆, 任琰, 季文彬, 李孝军. 玉米内州萎蔫病菌荧光重组酶介导等温扩增检测方法的建立[J]. 浙江农业学报, 2021, 33(9): 1676-1685. |
[2] | 王佳, 慕瑞瑞, 杨乔乔, 刘伟, 张月荷, 康建宏. 滴灌水肥一体化下施钾量对宁夏春玉米叶绿素荧光特性与产量的影响[J]. 浙江农业学报, 2021, 33(8): 1347-1357. |
[3] | 江宇航, 辛维岗, 张棋麟, 邓先余, 王峰, 林连兵. 霉变饲用玉米真菌的分离、鉴定与乳酸菌素对其的防霉抑菌效果[J]. 浙江农业学报, 2021, 33(7): 1283-1291. |
[4] | 张矞勋, 王磊, 璩向宁, 曹媛, 吴梦瑶, 于瑞鑫, 孙源. GF-1/WFV在玉米叶面积指数估算中的应用研究[J]. 浙江农业学报, 2021, 33(5): 861-872. |
[5] | 杨梅, 胡小兰, 申涛, 谭康, 刘代铃, 邱红波. 玉米第8染色体单片段代换系的构建与灰斑病抗性材料筛选[J]. 浙江农业学报, 2021, 33(3): 383-389. |
[6] | 瞿展, 杨立桃. 转基因玉米TC1507质粒DNA标准物质的研制[J]. 浙江农业学报, 2021, 33(3): 390-395. |
[7] | 杨乙未, 肖华, 陈浒, 肖聶佳, 郭城. 喀斯特地区不同玫瑰混农林模式的土壤螨类群落结构特征[J]. 浙江农业学报, 2021, 33(1): 112-121. |
[8] | 刘根红, 薛银鑫, 张倩, 周佳瑞, 买小凤. 滴灌条件下不同耕深及秸秆还田量对玉米生长的影响[J]. 浙江农业学报, 2021, 33(1): 8-17. |
[9] | 常会庆, 徐富锦, 潘亚杰. 碳酸钙及其与壳聚糖联用对石灰性土壤铬污染的钝化效应[J]. 浙江农业学报, 2020, 32(9): 1665-1671. |
[10] | 郭延景, 肖海峰. 世界玉米主产国家和地区玉米补贴政策支持水平与结构特征[J]. 浙江农业学报, 2020, 32(9): 1722-1731. |
[11] | 牛博, 李丽娜, 庞广昌, 鲁丁强. 植物根尖分生组织传感器的构建及其对尿素传感动力学研究[J]. 浙江农业学报, 2020, 32(8): 1466-1474. |
[12] | 王长进, 徐运林, 程昕昕, 周毅, 余海兵. 甜玉米种子营养品质主要性状全基因组关联分析[J]. 浙江农业学报, 2020, 32(3): 383-389. |
[13] | 赵星凯, 石海春, 余学杰, 杨殊, 赵长云, 夏伟, 柯永培. 十三份玉米新自交系的育种潜势分析[J]. 浙江农业学报, 2020, 32(12): 2119-2127. |
[14] | 朱雷, 贾北平, 曹利, 徐静茹, 赵杰, 冯士彬, 李玉, 吴金节, 王希春. ZEA与DON单一及联合染毒致仔猪睾丸支持细胞凋亡的影响[J]. 浙江农业学报, 2020, 32(11): 1954-1962. |
[15] | 姜媛媛, 纪艺, 来勇敏, 陈笑芸, 徐俊锋, 徐晓丽, 马莲菊. 转Cry抗虫基因玉米对家蚕的安全性评价[J]. 浙江农业学报, 2020, 32(11): 2042-2049. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||