京津冀地区绿色金融发展水平与农业碳排放效率耦合度研究

doi:10.19788/j.issn.2096-6369.220319

Abstract

Abstract:

The Beijing-Tianjin-Hebei region is an important high-tech producing area and heavy industrial base in China. In the early stage of development, the ecological imbalance caused by excessive pursuit of economic benefits has led to environmental problems, affecting agricultural production and causing a decline in agricultural production efficiency. In order to study the development level of green finance in Beijing-Tianjin-Hebei region and its role in agricultural development, this paper establishes a green financial index system and uses the entropy method to measure and analyze the development level of green finance in Beijing-Tianjin-Hebei region. Based on DEA-Malmquist model, the agricultural carbon emission efficiency in Beijing-Tianjin-Hebei region was analyzed. The coupling coordination degree analysis of the two is carried out to analyze the regional differences of Beijing, Tianjin and Hebei. In the study found that the Beijing-Tianjin-Hebei region green financial development is still in its infancy, there is still room for greater development; the efficiency of agricultural carbon emission in Beijing-Tianjin-Hebei region is benign, and the technical efficiency of agricultural carbon emission in Beijing and Tianjin needs to be improved. The coupling level of green financial development level and agricultural carbon emission efficiency is low, and the coordination between the two needs to be continuously improved. This paper gives the following suggestions for the above problems : accelerate the construction of green financial market system; to promote the six high energy-consuming industries to green low-carbon development; attaching importance to the combination of financial talents and green financial development; Beijing plays a leading role in providing talents and technical support for Tianjin and Hebei Province, driving Tianjin.

Key words: green finance, entropy method, DEA-Malmquist model, agricultural carbon emission efficiency, coupling coordination degree

CLC Number:

F062

Da Wang, Chao Song, Xin Huan Zhang, Wen Xu, Nian Yang. Research on the Coupling Degree between Green Finance Development Level and Agricultural Carbon Emission Efficiency in Beijing-Tianjin-Hebei Region[J].Journal of Agricultural Big Data, 2022, 4(3): 116-125.

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References 15

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目标体系	一级指标	二级指标	说明
绿色金融	经济	存贷比	金融机构年末贷款/存款总额
		储蓄率	金融机构存款/GDP
		六大高耗能产业利息支出占比	六大高耗能产业利息支出/工业产业利息总支出
	环境	GDP能耗	能源消耗总量/GDP
		废水排放/GDP	工业废水总量/GDP
		废气排放/GDP	工业废气总量/GDP
		固体废弃物排放/GDP	工业固体废弃物总量//GDP
	社会	工业污染治理投资/GDP	工业污染治理投资/GDP
		环境污染治理投资/GDP	环境污染治理投资/GDP
		节能环保公共支出/政府总支出	节能环保公共支出/政府总支出

	北京市	天津市	河北省
存贷比	0.456	1.045	0.783
储蓄率	5.568	1.575	2.017
六大高耗能产业支出占比	0.393	0.274	0.094
GDP 能耗	0.293	0.323	0.757
废水排放/GDP	1.845	4.239	3.493
废气排放/GDP	5.076	0.398	4.138
固体废弃物排放/GDP	0.124	0.038	0.691
工业污染治理投资/GDP	3.633	3.377	15.350
环境污染治理投资/GDP	0.018	0.001	0.014
节能环保公共支出/政府总支出	4.980	0.899	1.993

维度	指标	指标属性
经济	存贷比	正向指标
	储蓄率	正向指标
	六大高耗能产业利息支出占比	逆向指标
环境	GDP 能耗	逆向指标
	废水排放/GDP	逆向指标
	废气排放/GDP	逆向指标
	固体废弃物排放/GDP	逆向指标
社会	工业污染治理投资/GDP	正向指标
	环境污染治理投资/GDP	正向指标
	节能环保公共支出/政府总支出	正向指标

维度	权重	指标	权重
经济	32.85%	存贷比	11.98%
		储蓄率	10.74%
		六大高耗能产业利息支出占比	10.12%
环境	34.31%	GDP 能耗	8.42%
		废水排放/GDP	8.77%
		废气排放/GDP	8.85%
		固体废弃物排放/GDP	8.27%
社会	32.84%	工业污染治理投资/GDP	12.05%
		环境污染治理投资/GDP	9.12%
		节能环保公共支出/政府总支出	11.67%

时间	京津冀地区	北京市	天津市	河北省
2008	0.333	0.372	0.506	0.122
2009	0.333	0.339	0.488	0.173
2010	0.333	0.333	0.443	0.224
2011	0.333	0.331	0.355	0.314
2012	0.333	0.369	0.442	0.189
2013	0.333	0.342	0.472	0.186
2014	0.333	0.461	0.377	0.162
2015	0.333	0.453	0.342	0.205
2016	0.333	0.336	0.381	0.282
2017	0.334	0.362	0.296	0.343
2018	0.333	0.379	0.313	0.308
2019	0.333	0.490	0.286	0.224
2020	0.333	0.410	0.283	0.307
2021	0.333	0.373	0.287	0.340

Research on the Coupling Degree between Green Finance Development Level and Agricultural Carbon Emission Efficiency in Beijing-Tianjin-Hebei Region

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碳排放源	碳排放系数	单位	参考数据来源
化肥	0.8956	KgCE/kg	美国橡树岭国家实验室
农膜	5.18	KgCE/kg	南京农业大学农业资源与生态环境研究所
农药	4.9341	KgCE/kg	美国橡树岭国家实验室
农用柴油	0.5927	KgCE/kg	IPCC
土地翻耕	312.6	KgCE/km²	IPCC
农业灌溉	25	KgCE/hm²	Dubey

年份	北京市	天津市	河北省
2008	24.83	41.44	591.70
2009	24.69	42.65	580.37
2010	24.17	42.01	583.20
2011	24.16	40.65	576.87
2012	23.57	40.66	589.09
2013	22.42	40.25	597.50
2014	20.26	38.97	600.74
2015	18.44	36.79	600.58
2016	17.10	36.90	552.56
2017	15.30	32.18	539.93
2018	13.53	30.33	509.76
2019	13.68	31.77	507.27
2020	12.50	30.65	489.88
2021	11.32	29.54	472.50
平均	19.00	36.77	556.57
总计	265.97	514.79	7791.94

指标	变量		量纲
农业产出指标	期望产出	农林牧渔业总产值	亿元
农业产出指标	非期望产出	农业碳排放量	万吨
农业投入指标		役畜（大牲畜）	万头
		农用机械（农业机械总动力）	万千瓦
		劳动力（第一产业年末从业人员）	万人
		灌溉（有效灌溉面积）	万公顷
		土地（年末耕地面积）	万公顷

年份	综合技术效率			纯技术效率
	EFF			PECH
	北京市	天津市	河北省	北京市	天津市	河北省
2008	0.846 7	0.571 6	0.380 4	0.900 2	0.575	0.864 9
2009	0.858 9	0.548 6	0.396 7	0.931 7	0.549 2	0.833 2
2010	0.871	0.577 3	0.468 6	0.957 3	0.581 1	0.941 7
2011	0.932 3	0.602	0.486 7	0.980 2	0.608 2	0.962 7
2012	0.976 7	0.621 3	0.503 8	0.997	0.626 7	0.975 6
2013	1	0.661 6	0.538	1	0.668 2	1
2014	1	0.674 9	0.523 5	1	0.681 3	0.986 9
2015	0.935 2	0.685 8	0.495 5	0.981 1	0.689 7	0.945 7
2016	1	0.704 3	0.517 9	1	0.708 2	1
2017	0.973 4	0.678 4	0.585 3	1	0.699 3	0.982 8
2018	1	0.7	0.633 7	1	0.737 7	1
2019	0.987 6	0.759 5	0.694 7	1	0.769 2	0.977 4
2020	0.992 6	0.785 3	0.759 9	1	0.800 7	0.988 7
2021	1	0.821 1	0.836 8	1	0.834 7	1

耦合度	耦合阶段
0.7<C≤1	极高耦合阶段
0.6<C≤0.7	高度耦合阶段
0.5<C≤0.6	中度耦合阶段
0.4<C≤0.5	初级耦合阶段
0.3<C≤0.4	低度耦合阶段
0<C≤0.3	极低耦合阶段

耦合协调度	耦合协调等级
0.8<D≤1	极高耦合协调
0.6<D≤0.8	高度耦合协调
0.5<D≤0.6	中度耦合协调
0.4<D≤0.5	初级耦合协调
0.3<D≤0.4	低度耦合协调
0<D≤0.3	极低耦合协调

2008	耦合度	耦合协调度	2012	耦合度	耦合协调度
北京	0.438	0.561	北京	0.439	0.558
天津	0.466	0.608	天津	0.458	0.581
河北省	0.301	0.427	河北省	0.361	0.470

2016	耦合度	耦合协调度	2021	耦合度	耦合协调度
北京	0.427	0.547	北京	0.444	0.554
天津	0.444	0.559	天津	0.411	0.523
河北省	0.409	0.521	河北省	0.425	0.553