基于效果—效率的金矿绿色矿山建设综合评价研究

doi:10.11872/j.issn.1005-2518.2023.06.055

Abstract

Abstract:

At present，traditional evaluations of green mine construction mostly use a direct scoring method to evaluate the effectiveness of green mine construction.This method ignores the relationship between evaluation indexes and fails to fully consider the input-output efficiency of mining enterprises.This paper selected 24 specific indicators from four aspects of resource utilization，environmental protection，enterprise society，and technological economy to build an evaluation index system for the effectiveness of green mine construction in the gold industry.In addition，the input-output efficiency evaluation index system of green mine construction in gold industry was constructed by optimizing and screening efficiency index from input-output aspect.The interval analytic hierarchy process（IAHP） and entropy weight method（EWM） were used to obtain the subjective and objective combined weights of evaluation indicators，and the TOPSIS method was combined to build the green mine construction effect evaluation model for the gold industry.The input-output efficiency evaluation of green mine construction in the gold industry was analyzed by using the BCC model of DEA method.On the basis of effect and efficiency measurement，the efficiency-effect evaluation matrix was designed to facilitate the analysis of the degree of green mine construction and the benefits of gold mining enterprises.It helps to judge whether gold mining enterprises take efficiency into account during the process of green mine construction，and the results reflect the actual overall construction situation of gold mining enterprises.Through the case analysis of ten gold mining enterprises of the same type in Shaanxi Province，the results show that the effectiveness and efficiency of the ten gold mining enterprises are fluctuating and rising.The overall construction situation is good，and the input-output efficiency is superior to the construction’s effect.Among the ten gold mining enterprises，except for M2 and M9，the green mine construction of the other mining enterprises has reached a high status.The four mining enterprises，M1，M4，M5 and M6，have given consideration to the effect and efficiency，and the other mining enterprises should pay attention to the development of both in the future construction.The index system constructed in this paper considers the characteristics of green mine construction in the gold industry，and the economic and quantitative indicators improve the accuracy of the evaluation results.The effect-efficiency evaluation model strengthens the connection between indicators，and can evaluate and analyze the overall situation of green mine construction in gold mining enterprises.It provides a scientific basis for the improvement of gold mining enterprises.

Key words: gold mining enterprises, green mine construction, effect-efficiency, combination weighting, TOPSIS method, DEA-BCC model

CLC Number:

F205

Wei YANG, Bo DENG, Tao LONG, Sha DENG, Mengge XUE, Nan FANG. Comprehensive Evaluation of Green Mine Construction of Gold Mine Based on Effect-Efficiency[J].Gold Science and Technology, 2023, 31(6): 919-929.

Figures/Tables 13

Table 1

Table 2

Fig.1

Table 3

Table 4

Fig.2

Table 5

A-B interval judgment matrix"

A	B₁	B₂	B₃	B₄
B₁	$1,1$	$1 / 3,1 / 2$	$1,2$	$2,3$
B₂	$2,3$	$1,1$	$2,3$	$2,4$
B₃	$1 / 2,1$	$1 / 3,1 / 2$	$1,1$	$1,2$
B₄	$1 / 3,1 / 2$	$1 / 4,1 / 2$	$1 / 2,1$	$1,1$

Table 5

Table 6

Table 7

Table 8

Table 9

Fig.3

Fig.4

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目标层	准则层	指标层	指标方向
黄金行业绿色矿山建设效果A	资源利用B₁	开采贫化率C₁/%	-
		开采回采率C₂/%	+
		选矿回收率C₃/%	+
		共伴生资源综合利用率C₄/%	+
		固废利用率C₅/%	+
		选矿废水利用率C₆/%	+
	环境保护B₂	采选综合能耗C₇/（kgce·t^-1）	-
		三废排放达标率C₈/%	+
		土地复垦率C₉/%	+
		绿化覆盖率C₁₀/%	+
		噪声达标覆盖率C₁₁/%	+
		三同时制度执行率C₁₂/%	+
	企业社会B₃	企业文化建设情况C₁₃/%	+
		企业管理体系完善程度C₁₄/%	+
		职工体检率C₁₅/%	+
		基础设施完善度C₁₆/%	+
		公益事业参与度C₁₇/%	+
		公众满意度C₁₈/%	+
	技术经济B₄	生产经营管理信息化程度C₁₉/%	+
		资产负债率C₂₀/%	-
		研发及技改投入率C₂₁/%	+
		关键生产工艺流程数控化率C₂₂/%	+
		产值利税率C₂₃/%	+
		专业技术人员比率C₂₄/%	+

目标层	一级指标	二级指标	三级指标
黄金行业绿色矿山建设投入产出效率	投入指标	人力	企业每年在职人数X₁/人
		财力	科技、安全环保等总投入X₂/万元
		物力	能耗X₃/（kgce·t^-1）
	产出指标	资源	开采回采率Y₁/%
		资源	选矿回收率Y₂/%
		环境	三废排放达标率Y₃/%
		环境	绿化覆盖率Y₄/%
		社会	公众满意度Y₅/%
		经济	利润总额Y₆/万元
		经济	年生产能力Y₇/万t

级别	级别描述	贴近度C
I	差	［0，0.2）
Ⅱ	较差	［0.2，0.4）
Ⅲ	中等	［0.4，0.6）
Ⅳ	良好	［0.6，0.8）
Ⅴ	优秀	［0.8，1.0）

级别	级别描述	综合效率OE（θ）
I	差	［0，0.25）
Ⅱ	较差	［0.25，0.5）
Ⅲ	中等	［0.5，0.75）
Ⅳ	良好	［0.75，1）
Ⅴ	优秀	≥1.0

矩阵	k	m	一致性检验结果
A-B	0.9081	1.0824	通过
B₁-C	0.8593	1.1304	通过
B₂-C	0.8493	1.1477	通过
B₃-C	0.8412	1.1158	通过
B₄-C	0.8521	1.1211	通过

Comprehensive Evaluation of Green Mine Construction of Gold Mine Based on Effect-Efficiency

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准则层	主观权重	客观权重	组合权重	指标层	主观权重	客观权重	组合权重	总排序
B₁	0.2920	0.2320	0.2722	C₁	0.0652	0.0316	0.0483	6
				C₂	0.0711	0.0547	0.0663	1
				C₃	0.0535	0.0375	0.0477	7
				C₄	0.0243	0.0443	0.0349	18
				C₅	0.0385	0.0289	0.0355	17
				C₆	0.0394	0.0350	0.0395	12
B₂	0.3750	0.1840	0.2701	C₇	0.0313	0.0369	0.0362	15
				C₈	0.0514	0.0224	0.0361	16
				C₉	0.0668	0.0299	0.0475	8
				C₁₀	0.0521	0.0448	0.0514	5
				C₁₁	0.0938	0.0300	0.0564	4
				C₁₂	0.0797	0.0201	0.0426	10
B₃	0.1250	0.2561	0.1876	C₁₃	0.0205	0.0399	0.0304	20
				C₁₄	0.0104	0.0486	0.0239	24
				C₁₅	0.0183	0.0427	0.0298	21
				C₁₆	0.0313	0.0513	0.0426	9
				C₁₇	0.0244	0.0407	0.0335	19
				C₁₈	0.0201	0.0329	0.0273	23
B₄	0.2080	0.3278	0.2701	C₁₉	0.0518	0.0612	0.0599	3
				C₂₀	0.0173	0.0704	0.0371	14
				C₂₁	0.0453	0.0798	0.0640	2
				C₂₂	0.0320	0.0411	0.0386	13
				C₂₃	0.0329	0.0232	0.0294	22
				C₂₄	0.0287	0.0521	0.0411	11

黄金矿山企业编号	2017	2018	2019	2020	2021	5年平均值
平均值	0.725	0.741	0.756	0.781	0.790	0.759
M1	0.736	0.756	0.773	0.801	0.802	0.774
M2	0.715	0.724	0.733	0.754	0.758	0.737
M3	0.733	0.743	0.758	0.803	0.807	0.769
M4	0.758	0.764	0.774	0.801	0.805	0.780
M5	0.771	0.784	0.775	0.802	0.804	0.787
M6	0.722	0.747	0.773	0.790	0.808	0.768
M7	0.723	0.738	0.759	0.784	0.800	0.761
M8	0.698	0.711	0.733	0.749	0.764	0.731
M9	0.692	0.717	0.738	0.765	0.780	0.738
M10	0.705	0.728	0.746	0.765	0.772	0.743

黄金矿山企业编号	技术效率	规模效率	综合效率	规模报酬情况
平均值	0.978	0.990	0.968	-
M1	1.000	1.000	1.000	固定
M2	1.000	0.947	0.947	递减
M3	1.000	0.978	0.978	递减
M4	1.000	1.000	1.000	固定
M5	1.000	1.000	1.000	固定
M6	1.000	1.000	1.000	固定
M7	0.893	0.975	0.871	递减
M8	1.000	1.000	1.000	固定
M9	0.885	1.000	0.885	递增
M10	1.000	1.000	1.000	固定

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