The mechanism of accessibility on the economic transformation effect of China&#39;s resource-exhausted cities

Hai-bing JIANG; Wen-zhong ZHANG; Jian-hui YU

doi:10.31497/zrzyxb.20200202

Journals >Journal of Natural Resources >Volume 35 >Issue 2 >Page 257 > Article

Journal of Natural Resources
Vol. 35, Issue 2, 257 (2020)

The mechanism of accessibility on the economic transformation effect of China's resource-exhausted cities

Hai-bing JIANG¹, Wen-zhong ZHANG^2、3、*, and Jian-hui YU^2、3

Author Affiliations

¹School of Urban and Planning, Yancheng Teachers University, Yancheng 224007, Jiangsu, China

²Institute of Geographic Science and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China

³University of Chinese Academy of Sciences, Beijing 100049, China

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DOI: 10.31497/zrzyxb.20200202 Cite this Article

Hai-bing JIANG, Wen-zhong ZHANG, Jian-hui YU. The mechanism of accessibility on the economic transformation effect of China's resource-exhausted cities[J]. Journal of Natural Resources, 2020, 35(2): 257 Copy Citation Text

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Fig. 1. Accessibility spatial pattern of 69 resource-exhausted cities in 2008 and 2017

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Fig. 2. The influence mechanism of accessibility on the transformation and development effect of resource-exhausted cities

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可达性水平	城市
高	贾汪区、枣庄市、淮北市、濮阳市、焦作市、井陉矿区、新泰市
较高	淄川区、黄石市、大冶市、灵宝市、萍乡市、耒阳市
中等	新余市、华蓥市、潼关县、韶关市、泸州市、潜江市、铜陵市、景德镇市、鹰手营子矿区、钟祥市、涟源市、下花园区、冷水江市、南票区、杨家杖子开发区、常宁市、霍州市、铜川市、平桂管理区、九台市、孝义市、弓长岭区、抚顺市、万山特区、松滋市、綦江区
较低	辽源市、大余县、资兴市、阜新市、北票市、合山市、舒兰市、二道江区、敦化市、南川区、白银市、易门县、东川区
低	红古区、白山市、个旧市、石拐区、五大连池市、伊春市、七台河市、昌江黎族自治县、双鸭山市、鹤岗市、汪清县、石嘴山市、乌海市、阿尔山市、玉门市、大兴安岭地区

Table 1. Evaluation on the accessibility level of China's resource-exhausted cities in 2017

index	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂
X₁	1	0.630^**	0.502^**	0.551^**	0.489^**	0.535^**	0.627^**	0.467^**	0.576^**	0.555^**	0.612^**	0.581^**
N	69	69	68	69	68	69	65	61	69	64	69	57
X₂	0.630^**	1	0.577^**	0.872^**	0.770^**	0.817^**	0.976^**	0.798^**	0.904^**	0.895^**	0.795^**	0.565^**
N	69	69	68	69	68	69	65	61	69	64	69	57
X₃	0.502^**	0.577^**	1	0.313^**	0.121	0.291^*	0.533^**	0.402^**	0.333^**	0.465^**	0.368^**	0.346^**
N	68	68	68	68	68	68	65	60	68	63	68	56

Table 2. Pearson correlation coefficient analysis of the accessibility and economic transformation development toward China's resource-exhausted cities

变量	ln(PCSUB_it) (1)		ln(PCSUB_it) (2)		ln(PCSUB_it) (3)		ln(PCSUB_it) (4)
变量	Coef.	z值	Coef.	t值	Coef.	z值	Coef.	z值
ln(Acc_it)	0.468^***	5.07			0.301^***	3.85	0.238^***	2.91
ln(HI_it)	-0.457	-1.47			0.134	0.37	-0.214	-0.53
ln(Fin_it)			0.807^***	11.26	0.099^*	1.81	0.029	0.51
ln(Pop_it)			0.119	0.31	-0.947^***	-6.95	-0.988^***	-6.34
ln(urban_it)			0.403	1.20	-0.009	-0.03	-0.195	-0.65
ln(RD_it)			0.104^***	3.15	0.012	0.33	-0.033	-0.78
ln(Pri_it)					0.564^***	6.93	0.575^***	6.07
ln(Invest_it)					0.387^***	4.92	0.209^**	2.16
ln(Agg_it)							0.207 ^***	3.77
ln(Tec_it)							0.061^*	1.77
_cons	5.332^***	6.98	4.678^**	2.18	6.605^***	4.08	8.129^***	4.54
模型设定	随机模型		固定模型		随机模型		随机模型
R²	0.198		0.457		0.571		0.637
观测数	690		558		455		321

Table 3. Regression result of per capita industrial substitution industry growth and driving factors

变量	ln(SUB_it) (1)		ln(SUB_it) (2)		ln(SUB_it) (3)		ln(SUB_it) (4)
变量	Coef.	z值	Coef.	t值	Coef.	z值	Coef.	z值
ln(Acc_it)	0.791^***	6.33			0.303^***	3.87	0.238^***	2.91
ln(HI_it)	-2.84^***	-6.73			0.137	0.38	-0.217	-0.54
ln(Fin_it)			0.807^***	11.56	0.098^*	1.80	0.029	0.52
ln(Pop_it)			1.109^***	2.96	0.049	0.37	0.011	0.07
ln(urban_it)			0.359	1.10	-0.037	-0.14	-0.198	-0.66
ln(RD_it)			0.099^***	3.09	0.005	0.13	-0.032	-0.76
ln(Pri_it)					0.598^***	7.62	0.573^***	6.07
ln(Invest_it)					0.364^***	4.79	0.209^**	2.17
ln(Agg_it)							0.207^***	3.78
ln(Tec_it)							0.061^*	1.77
_cons	-0.589	-0.57	0.796	0.90	-2.534^***	-1.60	-1.062	-0.59
模型设定	随机模型		固定模型		随机模型		随机模型
R²	0.468		0.481		0.823		0.839
观测数	690		558		455		321

Table 4. Regression result of industrial substitution industry growth and driving factors

探测指标	2007年		2011年		2016年
探测指标	q statistic	p value	q statistic	p value	q statistic	p value
ACC(X₁)	0.288	0.009	0.386	0.000	0.481	0.000
HI(X₂)	0.186	0.000	0.223	0.000	0.218	0.000
POP(X₃)	0.379	0.000	0.632	0.000	0.714	0.000
FIN(X₄)	0.275	0.000	0.608	0.000	0.539	0.000
AGG(X₅)	0.213	0.112	0.298	0.017	0.676	0.000
RD(X₆)	0.341	0.000	0.421	0.000	0.539	0.000
URBAN(X₇)	0.109	0.173	0.092	0.223	0.111	0.139
PRI(X₈)	0.752	0.000	0.549	0.000	0.604	0.000
INV(X₉)	0.523	0.000	0.614	0.000	0.753	0.000
TEC(X₁₀)	0.292	0.013	0.469	0.027	0.388	0.006

Table 5. Geographical detection analysis of economic transition development

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