Citation: | ZHOU Y H, YANG Z Z. Temporal and spatial characteristics of China’s provincial green total factor productivity of grains from the ecological value perspective[J]. Chinese Journal of Eco-Agriculture, 2021, 29(10): 1786−1799 doi: 10.13930/j.cnki.cjea.210106 |
[1] |
贾娟琪, 孙致陆, 李先德. 粮食价格支持政策提高了我国粮食全要素生产率吗?−以小麦最低收购价政策为例[J]. 农村经济, 2019, (1): 67−72
JIA J Q, SUN Z L, LI X D. Has the grain price support policy increased China’s grain total factor productivity? — Take the lowest purchase price policy for wheat as an example[J]. Rural Economy, 2019, (1): 67−72
|
[2] |
STEFAN S. Economics of life cycle assessment: inefficiency of the present approach[J]. Business Strategy and the Environment, 1997, 6(1): 1−8 doi: 10.1002/(SICI)1099-0836(199702)6:1<1::AID-BSE84>3.0.CO;2-D
|
[3] |
李金算. 国内外绿色生产力的理论与实践综述[J]. 中国科技论坛, 2005, (5): 109−113 doi: 10.3969/j.issn.1002-6711.2005.05.026
LI J S. Theory and practice of green productivity at home and abroad[J]. China Science and Technology Forum, 2005, (5): 109−113 doi: 10.3969/j.issn.1002-6711.2005.05.026
|
[4] |
李学林, 李隆伟, 董晓波, 等. 云南省粮食全要素生产率分解研究[J]. 农业技术经济, 2019, (10): 102−113
LI X L, LI L W, DONG X B, et al. A study on decomposition of total factor productivity of grain in Yunnan Province[J]. Journal of Agrotechnical Economics, 2019, (10): 102−113
|
[5] |
魏琦, 张斌, 金书秦. 中国农业绿色发展指数构建及区域比较研究[J]. 农业经济问题, 2018, 39(11): 11−20
WEI Q, ZHANG B, JIN S Q. A study on construction and regional comparison of agricultural green development index in China[J]. Issues in Agricultural Economy, 2018, 39(11): 11−20
|
[6] |
龚斌磊, 张书睿, 王硕, 等. 新中国成立70年农业技术进步研究综述[J]. 农业经济问题, 2020, 41(6): 11−29
GONG B L, ZHANG S R, WANG S, et al. 70 years of technological progress in China’s agricultural sector[J]. Issues in Agricultural Economy, 2020, 41(6): 11−29
|
[7] |
CHARNES A W, COOPER W W, RHODES E. Measuring the efficiency of decision making units[J]. North-Holland, 1978, 2(6): 429−444
|
[8] |
CAVES D W, CHRISTENSEN L R, DIEWERT W E. Multilateral comparisons of output, input, and productivity using superlative index numbers[J]. Economic Journal, 2002, 92(365): 73−86
|
[9] |
NKAMLEU G B. Productivity growth, technical progress and efficiency change in African agriculture[J]. African Development Review, 2004, 16(1): 203−222 doi: 10.1111/j.1467-8268.2004.00089.x
|
[10] |
侯琳, 冯继红. 基于超效率DEA和Malmquist指数的中国农业生产效率分析[J]. 河南农业大学学报, 2019, 53(2): 316−324
HOU L, FENG J H. Analysis of Chinese agricultural production efficiency based on super-efficiency DEA and Malmquist index[J]. Journal of Henan Agricultural University, 2019, 53(2): 316−324
|
[11] |
王璐, 杨汝岱, 吴比. 中国农户农业生产全要素生产率研究[J]. 管理世界, 2020, 36(12): 77−93 doi: 10.3969/j.issn.1002-5502.2020.12.008
WANG L, YANG R D, WU B. Research on total factor productivity of Chinese farmers’ agricultural production[J]. Management World, 2020, 36(12): 77−93 doi: 10.3969/j.issn.1002-5502.2020.12.008
|
[12] |
陈鸣, 邓荣荣. 农业R& D投入与农业全要素生产率−一个空间溢出视角的解释与证据[J]. 江西财经大学学报, 2020, (2): 86−97
CHEN M, DENG R R. Agricultural R & D input and agricultural total factor productivity: an explanation and evidence from the perspective of spatial spillover[J]. Journal of Jiangxi University of Finance and Economics, 2020, (2): 86−97
|
[13] |
张红丽, 李洁艳. 农业技术进步、农村劳动力转移与城乡收入差距−基于农业劳动生产率的分组研究[J]. 华东经济管理, 2020, 34(1): 67−75
ZHANG H L, LI J Y. The impact of agricultural technology progress, rural labor transfer and the income gap between urban and rural areas: study and analysis on the grouping of agricultural labor productivity[J]. East China Economic Management, 2020, 34(1): 67−75
|
[14] |
HAILU A, VEEMAN T S. Environmentally sensitive productivity analysis of the Canadian pulp and paper industry, 1959–1994: an input distance function approach[J]. Journal of Environmental Economics and Management, 2000, 40(3): 251−274 doi: 10.1006/jeem.2000.1124
|
[15] |
TONE K. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2002, 143(1): 32−41 doi: 10.1016/S0377-2217(01)00324-1
|
[16] |
CHUNG Y, FARE R. Productivity and undesirable outputs: A directional distance function approach[J]. Microeconomics, 1997, 51(3): 229−240
|
[17] |
RAMANATHAN R, BLACK A, NATH P, et al. Impact of environmental regulations on innovation and performance in the UK industrial sector[J]. Management Decision, 2010, 48(10): 1493−1513
|
[18] |
李欠男, 李谷成, 尹朝静. 农业绿色全要素生产率增长的分布动态演进[J]. 统计与信息论坛, 2020, 35(10): 119−128 doi: 10.3969/j.issn.1007-3116.2020.10.014
LI Q N, LI G C, YIN C J. Dynamic evolution of agricultural green total factor productivity growth[J]. Statistics & Information Forum, 2020, 35(10): 119−128 doi: 10.3969/j.issn.1007-3116.2020.10.014
|
[19] |
孟祥海, 周海川, 杜丽永, 等. 中国农业环境技术效率与绿色全要素生产率增长变迁−基于种养结合视角的再考察[J]. 农业经济问题, 2019, 40(6): 9−22
MENG X H, ZHOU H C, DU L Y, et al. The change of agricultural environmental technology efficiency and green total factor productivity growth in China: Re-examination based on the perspective of combination of planting and breeding[J]. Issues in Agricultural Economy, 2019, 40(6): 9−22
|
[20] |
熊鹰, 何鹏. 绿色防控技术采纳行为的影响因素和生产绩效研究−基于四川省水稻种植户调查数据的实证分析[J]. 中国生态农业学报(中英文), 2020, 28(1): 136−146
XIONG Y, HE P. Impact factors and production performance of adoption of green control technology: an empirical analysis based on the survey data of rice farmers in Sichuan Province[J]. Chinese Journal of Eco-Agriculture, 2020, 28(1): 136−146
|
[21] |
杜江, 罗珺, 王锐, 等. 粮食主产区种植业碳功能测算与时空变化规律研究[J]. 生态与农村环境学报, 2019, 35(10): 1242−1251
DU J, LUO J, WANG R, et al. The estimation and analysis of spatio-temporal change patterns of carbon functions in major grain producing area[J]. Journal of Ecology and Rural Environment, 2019, 35(10): 1242−1251
|
[22] |
刘钦普, 濮励杰. 中国粮食主产区化肥施用时空特征及生态经济合理性分析[J]. 农业工程学报, 2019, 35(23): 142−150 doi: 10.11975/j.issn.1002-6819.2019.23.018
LIU Q P, PU L J. Spatiotemporal variation of fertilizer utilization and its eco-economic rationality in major grain production areas of China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(23): 142−150 doi: 10.11975/j.issn.1002-6819.2019.23.018
|
[23] |
谭术魁, 韩思雨, 张路. 粮食安全视角下粮食主产区耕地休耕规模及动态仿真研究[J]. 中国土地科学, 2020, 34(2): 9−17
TAN S K, HAN S Y, ZHANG L. Study on fallow scale and dynamical simulation of major grain producing areas in China from the food security perspective[J]. China Land Science, 2020, 34(2): 9−17
|
[24] |
王雪蕾, 王新新, 朱利, 等. 巢湖流域氮磷面源污染与水华空间分布遥感解析[J]. 中国环境科学, 2015, 35(5): 1511−1519 doi: 10.3969/j.issn.1000-6923.2015.05.031
WANG X L, WANG X X, ZHU L, et al. Remote sensing analysis of nitrogen and phosphorus non-point source pollution and spatial distribution of water bloom in Chaohu Lake Basin[J]. China Environmental Science, 2015, 35(5): 1511−1519 doi: 10.3969/j.issn.1000-6923.2015.05.031
|
[25] |
尚杰, 吉雪强, 陈玺名. 中国城镇化对农业生态效率的影响−基于中国13个粮食主产区2009—2018年面板数据[J]. 中国生态农业学报(中英文), 2020, 28(8): 1265−1276
SHANG J, JI X Q, CHEN X M. Study on the impact of China’s urbanization on agricultural ecological efficiency: Based on panel data of 13 major grain-producing regions in China from 2009 to 2018[J]. Chinese Journal of Eco-Agriculture, 2020, 28(8): 1265−1276
|
[26] |
高鸣, 宋洪远, Michael Carter. 补贴减少了粮食生产效率损失吗?−基于动态资产贫困理论的分析[J]. 管理世界, 2017, (9): 85−100 doi: 10.3969/j.issn.1002-5502.2017.09.008
GAO M, SONG H Y, CARTER M. Does subsidies reduce the loss of food production efficiency? — An analysis based on the theory of dynamic asset poverty[J]. Management World, 2017, (9): 85−100 doi: 10.3969/j.issn.1002-5502.2017.09.008
|
[27] |
胡雪枝, 钟甫宁. 农村人口老龄化对粮食生产的影响−基于农村固定观察点数据的分析[J]. 中国农村经济, 2012, (7): 29−39
HU X Z, ZHONG F N. The impact of rural population aging on food production: An analysis based on rural fixed observation point data[J]. Chinese Rural Economy, 2012, (7): 29−39
|
[28] |
罗海平, 朱勤勤, 潘柳欣, 等. 粮食主产区农田生态系统服务价值动态演化与空间分异[J]. 统计与决策, 2020, 36(4): 49−52
LUO H P, ZHU Q Q, PAN L X, et al. The dynamic evolution and spatial differentiation of farmland ecosystem service value in main grain producing areas[J]. Statistics & Decision, 2020, 36(4): 49−52
|
[29] |
COSTANZA R, D’ARGE R, DE GROOT R, et al. The value of the world’s ecosystem services and natural capital[J]. Nature, 1997, 387(6630): 253−260 doi: 10.1038/387253a0
|
[30] |
谢高地, 张彩霞, 张雷明, 等. 基于单位面积价值当量因子的生态系统服务价值化方法改进[J]. 自然资源学报, 2015, 30(8): 1243−1254 doi: 10.11849/zrzyxb.2015.08.001
XIE G D, ZHANG C X, ZHANG L M, et al. Improvement of the evaluation method for ecosystem service value based on per unit area[J]. Journal of Natural Resources, 2015, 30(8): 1243−1254 doi: 10.11849/zrzyxb.2015.08.001
|
[31] |
潘丹. 考虑资源环境因素的中国农业生产率研究[D]. 南京: 南京农业大学, 2012
PAN D. Research on China’s agricultural productivity considering resource and environmental factors[D]. Nanjing: Nanjing Agricultural University, 2012
|
[32] |
谭忠昕, 郭翔宇. 基于超效率DEA模型的中国粮食生产用水效率评价[J]. 农业机械学报, 2019, 50(8): 280−288 doi: 10.6041/j.issn.1000-1298.2019.08.031
TAN Z X, GUO X Y. Evaluation of water use efficiency for grain production in China based on super efficiency DEA model[J]. Journal of Agricultural Machinery, 2019, 50(8): 280−288 doi: 10.6041/j.issn.1000-1298.2019.08.031
|
[33] |
石华平, 易敏利. 环境规制、非农兼业与农业面源污染−以化肥施用为例[J]. 农村经济, 2020, (7): 127−136
SHI H P, YI M L. Environmental regulation, non-agricultural concurrent operations and agricultural non-point source pollution: Taking chemical fertilizer application as an example[J]. Rural Economy, 2020, (7): 127−136
|
[34] |
陈柔, 何艳秋, 朱思宇, 等. 我国农业碳排放双重性及其与经济发展的协调性研究[J]. 软科学, 2020, 34(1): 132−138
CHEN R, HE Y Q, ZHU S Y, et al. Duality of agricultural carbon emissions and coordination with economic development in China[J]. Soft Science, 2020, 34(1): 132−138
|
[35] |
田旭, 王善高. 中国粮食生产环境效率及其影响因素分析[J]. 资源科学, 2016, 38(11): 2106−2116
TIAN X, WANG S G. Environmental efficiency and its determinants regarding China’s grain production[J]. Resources Science, 2016, 38(11): 2106−2116
|
[36] |
张利国, 鲍丙飞. 我国粮食主产区粮食全要素生产率时空演变及驱动因素[J]. 经济地理, 2016, 36(3): 147−152
ZHANG L G, BAO B F. Empirical analysis on spatio-temporal evolution and driving forces of food total factor production in major grain producing areas of our country[J]. Economic Geography, 2016, 36(3): 147−152
|
[37] |
望晓东. 广东农地非农化效率测度及其影响因素研究[D]. 广州: 华南农业大学, 2018
WANG X D. The research on measurement and analysis of influence factors of agricultural land conversion efficiency in Guangdong Province[D]. Guangzhou: South China Agricultural University, 2018
|