Substitution efficiency of agro-chemical input intensity and its influence factors

doi:10.13287/j.1001-9332.201904.035

Abstract

Abstract: We examined the substitution efficiency of agro-chemical input intensity from 2000 to 2016 in China by employing SE-DEA model and Gini coefficient, and analyzed the driving factors of substitution efficiency with Tobit model. The results showed that the comprehensive efficiency and the scale efficiency of substitution of agro-chemical input intensity displayed the trend of “N-shaped”, while the pure technical efficiency was enhanced with some fluctuations. The regional diffe-rences of substitution efficiency were obvious, with the eastern region relying more heavily on the input scale of substitution factors. The most salient provincial-regional difference was the comprehensive efficiency, followed by the pure technical efficiency, and the least salient regional diffe-rence was the scale efficiency nationwide. The provincial-regional difference decreased year by year within each region. The Eastern region’s provincial-regional difference was the greatest. The substitution efficiency was significantly affected by agricultural technology level, farmers’ income level, agricultural production structure, agricultural development level and industrialization level. Besides, there were obvious differences in the influencing factors among regions. To promote the substitution efficiency of agro-chemical input, it is necessary to improve the efficiency of substitution factors of agro-chemical input intensity, to adjust the development structure of agro-industry, to pay attention to farmers’ income level, and to revise the subsidy policy of substitution of agricultural chemical input intensity.

Key words: influence factor, substitution efficiency, SE-DEA, agro-chemical input intensity

YANG Jian-hui, ZHANG Zhao-zhong. Substitution efficiency of agro-chemical input intensity and its influence factors[J]. Chinese Journal of Applied Ecology, 2019, 30(4): 1404-1414.

References

[1] Baumgärtner S, Dyckhoff H, Faber M. The concept of joint production and ecological economics. Ecological Economics, 2001, 36: 365-372
[2] Zhang W-L (张维理), Ji H-J (冀宏杰), Kolbe H, et al. Estimation of agricultural non-point source pollution in China and the alleviating strategies. Ⅱ. Status of agricultural non-point source pollution and the alleviating strategies in European and American countries. Scientia Agricultura Sinica (中国农业科学), 2004, 37(7): 1018-1025 (in Chinese)
[3] Yang J-H (杨建辉). Effect of agricultural economy growth on agricultural chemical and its spatiotemporal pattern: A case of Shandong Province. Economic Geo-graphy (经济地理), 2017, 37(3): 182-187 (in Chinese)
[4] Huang X-M (黄晓敏), Chen C-Q (陈长青), Chen M-Z (陈铭洲), et al. Carbon footprints of major staple grain crops production in three provinces of Northeast China during 2004-2013. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(10): 3307-3315 (in Chinese)
[5] Zhang P-Y (张鹏岩), He J-J (何坚坚), Pang B (庞博), et al. Temporal and spatial differences in carbon footprint in farmland ecosystem: A case study of Henan Province, China. Chinese Journal of Applied Ecology (应用生态学报), 2017, 28(9): 3050-3060 (in Chinese)
[6] Li G-X (李国祥). Discuss the transformation of China’s agricultural development momentum. Chinese Rural Economy (中国农村经济), 2017(7): 2-14 (in Chinese)
[7] Zhu ZL, Chen DL. Nitrogen fertilizer use in China: Contributions to food production, impacts on the environment and best management strategies. Nutrient Cycling in Agroecosystems, 2002, 63: 117-127
[8] Wang Z-L (王祖力), Xiao H-F (肖海峰). Analysis of chemical fertilizer on the growth of grain output. Issues in Agriculture Economy (农业经济问题), 2008(8): 65-68 (in Chinese)
[9] Yang J-H (杨建辉). Decoupling relationship between agricultural chemical and agricultural economic growth in the context of agricultural non-point source pollution control. Journal of Natural Resources (自然资源学报),2017, 32(9): 1517-1527 (in Chinese)
[10] Pan D (潘丹). The spatial-temporal difference of driving effects for fertilizer use intensity change and its determinants in China. Economic Geography (经济地理), 2014, 34(3): 121-135 (in Chinese)
[11] Zheng W-W (郑微微), Xu X-G (徐雪高). Driving-factor decomposition of fertilizer use intensity change and its determinants in Jiangsu Province. Journal of Huazhong Agricultural University (Social Sciences) (华中农业大学学报: 社会科学版), 2017(4): 55-62 (in Chinese)
[12] Luan J (栾江), Qiu H-G (仇焕广), Jing Y (井月), et al. Decomposition of factor contributed to the increase of China’s chemical fertilizer use and projections for future fertilizer use in China. Journal of Natural Resources (自然资源学报), 2013, 28(11): 1869-1878 (in Chinese)
[13] Tian Y (田云) , Zhang J-B (张俊飚) , He K (何可), et al. Analysis on low-carbon production behavior of farm households and its influencing factors: Taking fertilizer application and pesticide use as an example. China Rural Survey (中国农村观察), 2015(4): 61-70 (in Chinese)
[14] Cai Y-P (蔡颖萍), Du Z-X (杜志雄). An analysis of ecological consciousness of family farm production behaviour and its influencing factors: An empirical test based on survey data of family farms in China. China Rural Economy (中国农村经济), 2016(12): 33-45 (in Chinese)
[15] Gao M-G (高明国). Analysis of modern agricultural productivity integrated system based on China’s agricultural modernization. Economic Problems (经济问题), 2013(6): 104-108 (in Chinese)
[16] Ebenstein A. The consequences of industrialization: Evidence from water pollution and digestive cancers in China. Review of Economics and Statistics, 2012, 94: 186-201
[17] Zhang J (张舰), Avraham E (亚伯拉罕·艾宾斯坦), Margaret M (玛格丽特·麦克米伦), et al. Migration, excessive fertilizer use and environmental consequences. Comparative Economic and Social Systems (经济社会体制比较), 2017(3): 149-160 (in Chinese)
[18] Liu Q (刘琦), Zhao M-Z (赵明正). Theoretical analysis and empirical study on international experience of agricultural modernization: Based on the panel data of 29 major agricultural countries. Issues in Agricultural Economy (农业经济问题), 2018(3): 23-32 (in Chinese)
[19] Soliman I, Ewaida O. Impact of technological changes and economic liberalization on agricultural labor employment and productivity. Contemporary Egypt, 1997, 88: 47-64
[20] Yin C-J (尹朝静), Fan L-X (范丽霞), Li G-C (李谷成). Elasticity of substitution of factor and China’s agricultural growth. Journal of South China Agricultural University (Social Science) (华南农业大学学报: 社会科学版), 2014, 13(2): 16-23 (in Chinese)
[21] Wang O (王欧), Tang K (唐轲), Zheng H-M (郑华懋). The effect of agricultural machinery on the intensity of labor substitution and grain output. China Rural Economy (中国农村经济), 2016(12): 46-59 (in Chinese)
[22] Wang L (王丽), Xi F-M (郗凤明), Li J-X (李金鑫), et al. Efficiency of industrial energy conservation and carbon emission reduction in Liaoning Province based on data envelopment analysis (DEA) method. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(9): 2925-2932 (in Chinese)
[23] Liu H (刘慧). Regional inequality measurement: Methods and evaluations. Geographical Research (地理研究), 2006, 25(4): 710-718 (in Chinese)
[24] Yang L-X (杨丽霞), Yang G-S (杨桂山), Yao S-M (姚士谋), et al. A study on the spatial heterogeneity of grain yield per hectare and driving factors based on ESDAGWR. Economic Geography (经济地理), 2012, 32(6): 120-126 (in Chinese)
[25] Li G-C (李谷成). The green productivity revolution of agriculture in China from 1978 to 2008. China Economic Quarterly (经济学: 季刊), 2014, 13(2): 537-558 (in Chinese)
[26] Gao F (高帆). Evolution trend and internal mechanism of regional total factor productivity in Chinese agriculture. The Journal of Quantitative and Technical Economics (数量经济技术经济研究), 2015(5): 3-19 (in Chinese)
[27] Zhu X (朱喜), Shi Q-H (史清华), Gai Q-E (盖庆恩). Misallocation and TFP in rural China. Economic Research Journal (经济研究), 2011(5): 86-98 (in Chinese)
[28] Ge P-F (葛鹏飞), Wang S-J (王颂吉), Huang X-L (黄秀路). Measurement for China’s agricultural green TFP. China Population, Resources and Environment (中国人口·资源与环境), 2018, 28(5): 66-74 (in Chinese)
[29] National Bureau of Statistics of the People’s Republic of China (中华人民共和国国家统计局). China Statistics Yearbook. Beijing: China Statistics Press, 2001-2017 (in Chinese)
[30] National Bureau of Statistics of the People’s Republic of China (中华人民共和国国家统计局). China Rural Statistics Yearbook. Beijing: China Statistics Press, 2001-2017 (in Chinese)
[31] Zhou Z (周振), Kong X-Z (孔祥智). Pattern and influencing factors of coordinated implementation of “Four Tasks” in China: Perspective of agricultural modernization. China Soft Science (中国软科学), 2015(10): 9-25 (in Chinese)
[32] Li G-C (李谷成), Fan L-X (范丽霞), Feng Z-C (冯中朝). Capital accumulation, institutional change and agricultural growth. Management World (管理世界), 2014(5): 67-79 (in Chinese)
[33] Zhou J (周晶), Chen Y-P (陈玉萍), Ruan D-Y (阮冬燕). Effect of terrain condition on regional imba-lance development of agricultural mechanization. Chinese Rural Economy (中国农村经济), 2013(9): 63-77 (in Chinese)
[34] Xie J (谢杰), Li P (李鹏). Direct influencing factors for the process of China’s agricultural modernization and its spatial spillover effect. Issues in Agricultural Economy (农业经济问题), 2015(8): 42-48 (in Chinese)
[35] National Bureau of Statistics of the People’s Republic of China (中华人民共和国国家统计局), Ministry of Science and Technology of the People’s Republic of China (中华人民共和国科学技术部). China Statistics Yearbook on Science and Technology. Beijing: China Statistics Press, 2001-2017 (in Chinese)
[36] Ministry of Finance of the People’s Republic of China (中华人民共和国财政部). Finance Yearbook of China. Beijing: China State Finance Press, 2001-2017 (in Chinese)
[37] Lin S-L (林善浪), Ye W (叶炜), Zhang L-H (张丽华). Did rural labor selective transfer enhance agriculture mechanization? An analysis based on modified translog function. Journal of Agrotechnical Economics (农业技术经济), 2017(7): 4-17 (in Chinese)
[38] Ma H-Y (马恒运), Xu X (许欣), Yan G-A (严功岸), et al. The change of agricultural-industry relation and theoretical explanation of rural revitalization over the past decades of rural and agricultural reform. Issues in Agricultural Economy (农业经济问题), 2018(7): 4-13 (in Chinese)