Effects of mechanization service degree and farmland operation scale on maize production efficiency

doi:10.3969/j.issn.1004-1524.2023.03.23

Acta Agriculturae Zhejiangensis ›› 2023, Vol. 35 ›› Issue (3): 698-707.DOI: 10.3969/j.issn.1004-1524.2023.03.23

• Agricultural Economy and Development • Previous Articles Next Articles

Effects of mechanization service degree and farmland operation scale on maize production efficiency

WANG Ningke^a(), ZHANG Rui^b, ZHANG Shengyong^a^,^*()

a. College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
b. College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China

Received:2022-03-16 Online:2023-03-25 Published:2023-04-07

Abstract

Abstract:

Based on the panel data of 20 major maize producing provinces (autonomous regions, municipality) in China from 2003 to 2018, combined with the methods such as the super efficiency DEA model, regression model and intermediary effect analysis, the effects of mechanization service degree and farmland operation scale on maize production efficiency were analyzed from the intermediary perspective of farmland operation scale. The results showed that the average maize production efficiency of the sample provinces (autonomous regions, municipality) from 2003 to 2018 was 0.775, and there were significant differences among the sample provinces (autonomous regions, municipality). The improvement of mechanization service degree could significantly enhance maize production efficiency. The farmland operation scale had an obvious mediating effect between mechanization service degree and maize production efficiency, and the mediating effect accounted for 32.26% of the total effect. Among the selected control variables, irrigation rate and unemployment rate had significantly positive effects on maize production efficiency, while aging rate and disaster rate had significantly negative effects on maize production efficiency. The effect of farmland operation scale on maize production efficiency exhibited an inverted U shape with an effect boundary. At present, farmland operation scale did not reach the boundary. Based on these findings, it was suggested to properly expand the farmland operation scale and promote the development of mechanization service, so as to further enhance the maize production efficiency.

Key words: maize production, production efficiency, farmland operation scale, mechanization service degree, role boundary

CLC Number:

S-9
F304.5

WANG Ningke, ZHANG Rui, ZHANG Shengyong. Effects of mechanization service degree and farmland operation scale on maize production efficiency[J]. Acta Agriculturae Zhejiangensis, 2023, 35(3): 698-707.

Figures/Tables 4

References 28

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省份 Province (Autonomous region, municipality)	2003	2006	2009	2012	2015	2018	2003—2018
河北Hebei	0.866	0.755	0.720	0.723	0.670	0.730	0.728
山西Shanxi	0.821	0.781	0.624	0.693	0.649	0.758	0.729
内蒙古Inner Mongolia	0.974	0.843	0.760	0.826	0.865	1.024	0.861
辽宁Liaoning	1.163	0.884	0.676	0.839	0.746	0.793	0.851
吉林Jilin	1.120	1.064	0.857	1.006	0.938	0.863	0.980
黑龙江Heilongjiang	1.207	0.967	0.900	0.908	0.962	1.035	0.973
江苏Jiangsu	0.661	0.772	0.763	0.731	0.742	0.753	0.738
安徽Anhui	0.705	0.788	0.646	0.709	0.742	0.675	0.686
山东Shandong	0.974	0.908	0.918	0.855	0.814	0.845	0.885
河南Henan	0.630	1.021	0.862	0.757	0.725	0.777	0.806
湖北Hubei	0.727	0.696	0.667	0.623	0.627	0.538	0.650
广西Guangxi	0.428	0.543	0.565	0.570	0.591	0.596	0.552
重庆Chongqing	1.017	0.861	0.782	0.753	0.757	0.779	0.834
四川Sichuan	0.803	0.664	0.660	0.694	0.733	0.768	0.728
贵州Guizhou	1.063	0.686	0.767	0.593	0.564	0.570	0.680
云南Yunnan	0.544	0.549	0.546	0.617	0.630	0.655	0.590
陕西Shaanxi	0.580	0.613	0.632	0.628	0.608	0.634	0.616
甘肃Gansu	0.695	0.566	0.610	0.703	0.715	0.734	0.672
宁夏Ningxia	1.000	1.007	0.998	1.011	0.952	0.971	0.978
新疆Xinjiang	1.076	0.987	0.909	0.875	0.926	1.040	0.953
平均值Average	0.853	0.798	0.743	0.756	0.748	0.777	0.775

省份 Province (Autonomous region, municipality)	2003	2006	2009	2012	2015	2018	2003—2018
河北Hebei	0.866	0.755	0.720	0.723	0.670	0.730	0.728
山西Shanxi	0.821	0.781	0.624	0.693	0.649	0.758	0.729
内蒙古Inner Mongolia	0.974	0.843	0.760	0.826	0.865	1.024	0.861
辽宁Liaoning	1.163	0.884	0.676	0.839	0.746	0.793	0.851
吉林Jilin	1.120	1.064	0.857	1.006	0.938	0.863	0.980
黑龙江Heilongjiang	1.207	0.967	0.900	0.908	0.962	1.035	0.973
江苏Jiangsu	0.661	0.772	0.763	0.731	0.742	0.753	0.738
安徽Anhui	0.705	0.788	0.646	0.709	0.742	0.675	0.686
山东Shandong	0.974	0.908	0.918	0.855	0.814	0.845	0.885
河南Henan	0.630	1.021	0.862	0.757	0.725	0.777	0.806
湖北Hubei	0.727	0.696	0.667	0.623	0.627	0.538	0.650
广西Guangxi	0.428	0.543	0.565	0.570	0.591	0.596	0.552
重庆Chongqing	1.017	0.861	0.782	0.753	0.757	0.779	0.834
四川Sichuan	0.803	0.664	0.660	0.694	0.733	0.768	0.728
贵州Guizhou	1.063	0.686	0.767	0.593	0.564	0.570	0.680
云南Yunnan	0.544	0.549	0.546	0.617	0.630	0.655	0.590
陕西Shaanxi	0.580	0.613	0.632	0.628	0.608	0.634	0.616
甘肃Gansu	0.695	0.566	0.610	0.703	0.715	0.734	0.672
宁夏Ningxia	1.000	1.007	0.998	1.011	0.952	0.971	0.978
新疆Xinjiang	1.076	0.987	0.909	0.875	0.926	1.040	0.953
平均值Average	0.853	0.798	0.743	0.756	0.748	0.777	0.775

变量 Variable	E
变量 Variable	模型1 Model 1	模型2 Model 2
M	0.237^**(0.120)	—
S	0.946^***(0.227)	1.090^***(0.220)
S²	-0.723^***(0.236)	-0.701^***(0.267)
Z₁	0.138^***(0.024)	—
Z₂	0.0896^***(0.013)	—
Z₃	-0.582^**(0.273)	—
Z₄	-0.121^***(0.036)	—
常数项Constant	0.293^***(0.078)	0.588^***(0.032)

变量 Variable	E
变量 Variable	模型1 Model 1	模型2 Model 2
M	0.237^**(0.120)	—
S	0.946^***(0.227)	1.090^***(0.220)
S²	-0.723^***(0.236)	-0.701^***(0.267)
Z₁	0.138^***(0.024)	—
Z₂	0.0896^***(0.013)	—
Z₃	-0.582^**(0.273)	—
Z₄	-0.121^***(0.036)	—
常数项Constant	0.293^***(0.078)	0.588^***(0.032)

变量 Variable	E	S	E
变量 Variable	模型3 Model 3	模型4 Model 4	模型5 Model 5
M	0.793^***	1.330^***	0.537^***
	(0.084)	(0.063)	(0.130)
S	—	—	0.192^**
	—	—	(0.075)
常数项	0.344^***	-0.092^*	0.362^***
Constant	(0.075)	(0.056)	(0.074)

Effects of mechanization service degree and farmland operation scale on maize production efficiency

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