Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints

Xiang LUO; Xinhe AO; Zuo ZHANG; Qing WAN; Xingjian LIU

doi:10.1007/s11442-020-1741-8

Journals >Journal of Geographical Sciences >Volume 30 >Issue 4 >Page 535 > Article

Journal of Geographical Sciences
Vol. 30, Issue 4, 535 (2020)

Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints

Xiang LUO¹, Xinhe AO¹, Zuo ZHANG¹, Qing WAN^2、*, and Xingjian LIU³

Author Affiliations

¹College of Public Administration, Central China Normal University, Wuhan 430079, China

²School of Management, Wuhan Institute of Technology, Wuhan 430205, China

³Department of Urban Planning and Design, University of Hong Kong, Hong Kong 999077, China

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DOI: 10.1007/s11442-020-1741-8 Cite this Article

Xiang LUO, Xinhe AO, Zuo ZHANG, Qing WAN, Xingjian LIU. Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints[J]. Journal of Geographical Sciences, 2020, 30(4): 535 Copy Citation Text

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Fig. 1. Geographical location of the Yangtze River Economic Belt (YREB)

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Fig. 2. Spatiotemporal variations of cultivated CEs in the Yangtze River Economic Belt

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Fig. 3. Kernel density map of CLU efficiency (CLUE) in the Yangtze River Economic Belt

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Source	Coefficient	Unit	Reference
Tillage	312.6	kg/km²	Wu et al., 2007
Machinery	0.18	kg/kW	West et al., 2002
Fertilizers	0.8956	kg/kg	West et al., 2002
Pesticides	4.9341	kg/kg	Post et al., 2000
Plastic sheets	5.18	kg/kg	Li et al., 2011
Irrigation	25	kg/hm²	Li et al., 2011

Table 1.

Carbon emission (CE) coefficients of major carbon sources arising from cultivated land use (CLU)

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	Indicators	Data sources
Input	I₁	China Rural Statistical Yearbook (2008-2017)
	I₂	China Rural Statistical Yearbook (2008-2017)
	I₃	China Rural Statistical Yearbook (2008-2017)
	I₄	China Rural Statistical Yearbook (2008-2017)
	I₅	China Rural Statistical Yearbook (2008-2017)
	I₆	China Rural Statistical Yearbook (2008-2017)
	I₇	China Rural Statistical Yearbook (2008-2017)
Output	O₁	China Rural Statistical Yearbook (2008-2017)
	O₂	China Rural Statistical Yearbook (2008-2017)
	O₃	$E=\sum{{{E}_{i}}}=\sum{{{T}_{i}}\cdot {{\delta }_{i}}}$, where T_i and δ_i are the values of each carbon source and the CE coefficient, respectively.
Influencing factors	PC	Land Survey Results Sharing Application Service Platform
	PG	Statistical yearbooks of the provinces and cities in the YREB from 2008 to 2017
	PP	Statistical yearbooks of the provinces and cities in the YREB from 2008 to 2017
	MP	Statistical yearbooks of the provinces and cities in the YREB from 2008 to 2017
	AT	EPS data platform
	PI	China Environmental Protection Database

Table 2.

Indicators and data sources

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Regions	Year										Average
Regions	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	Average
Shanghai	28.29	28.55	26.09	25.63	25.11	23.36	22.82	22.02	20.98	19.60	24.24
Jiangsu	408.22	408.29	415.04	414.50	412.49	409.01	405.91	404.10	396.96	389.90	406.44
Zhejiang	145.38	147.53	149.13	148.23	149.11	150.71	151.63	147.96	145.89	139.67	147.52
Anhui	374.26	379.77	386.80	398.38	410.56	416.34	425.00	426.57	423.85	410.36	405.19
Jiangxi	189.09	195.18	199.31	206.38	207.07	209.46	209.83	209.38	210.11	207.22	204.30
Hubei	373.63	401.05	413.84	425.33	429.67	429.97	422.50	420.44	406.07	397.02	411.95
Hunan	295.49	301.53	311.39	318.65	325.22	335.36	337.70	337.73	336.21	334.77	323.40
Chongqing	103.84	108.08	113.40	114.42	119.03	119.84	120.78	121.96	122.94	121.38	116.57
Sichuan	304.20	310.62	319.02	321.84	328.94	332.38	330.97	331.29	331.91	331.06	324.23
Yunnan	201.27	216.21	222.93	238.92	257.23	274.89	285.33	296.04	302.46	307.35	260.26
Huizhou	99.88	109.56	112.01	107.26	117.48	122.94	122.89	127.33	130.09	130.90	118.03
Total	2523.54	2606.35	2668.97	2719.56	2781.90	2824.26	2835.34	2844.84	2827.47	2789.22	2742.14

Table 3.

CEs from CLU in the Yangtze River Economic Belt

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Region	2007		2010		2013		2016
Region	CCR	SBM	CCR	SBM	CCR	SBM	CCR	SBM
Shanghai	0.9135	0.6728	0.9844	0.8853	1	1	1	1
Jiangsu	1	1	0.9822	0.7922	0.9986	0.9338	1	1
Zhejiang	0.6957	0.4185	0.7997	0.5749	0.9321	0.7798	1	1
Anhui	0.9006	0.5860	0.9113	0.6419	0.8974	0.6633	0.9527	0.7483
Jiangxi	1	1	0.9653	0.7987	1	1	1	1
Hubei	0.8922	0.5689	0.9017	0.5717	0.9576	0.7586	1	1
Hunan	0.9487	0.7318	0.9482	0.7720	0.9401	0.7738	1	1
Chongqing	0.9905	0.9267	0.9824	0.9087	0.9974	0.9319	1	1
Sichuan	1	1	0.9701	0.8881	0.9784	0.9371	1	1
Yunnan	0.7185	0.4993	0.6519	0.4753	0.7441	0.5431	0.7821	0.5461
Huizhou	1	1	0.9819	0.8595	0.8672	0.7141	1	1

Table 4.

CLUE for each province or city of the Yangtze River Economic Belt in specific years

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Variables	Coefficient	Std. Err.	Z	Significance
PC	-0.0004409	0.0001838	-2.4	0.016
PG	3.14E-06	1.08E-06	2.9	0.004
PP	0.0000704	0.0000279	2.52	0.012
MP	-0.0208301	0.0070656	-2.95	0.003
AT	0.0573215	0.0258476	2.22	0.027
PI	-1.16E-06	0.0000392	-0.03	0.976