地下水灌区水价确定及其节水减排估算

王西琴; 姜智强; 张馨月

doi:10.12357/cjea.20220579

地下水灌区水价确定及其节水减排估算以河北省南皮县为例

doi: 10.12357/cjea.20220579

王西琴^1,,
姜智强¹,
张馨月^{1, 2, ,}

1.
中国人民大学农业与农村发展学院　北京　100872
2.
中国水利水电科学研究院水利研究所　北京　100038

基金项目: 国家社会科学基金重大项目(18ZDA074)和国家水体污染控制与治理科技重大专项(2018ZX07111001)资助

详细信息

作者简介:
王西琴, 主要研究方向为资源管理与环境经济学、农村区域发展与环境政策等。E-mail: wxiqin@ruc.edu.cn

通讯作者:
张馨月, 主要研究方向为资源管理与环境经济学、农村区域发展与环境政策等。E-mail: xyz0817@163.com

中图分类号: X24
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出版历程
- 收稿日期: 2022-07-26
- 录用日期: 2022-10-22
- 修回日期: 2022-10-22
- 网络出版日期: 2022-11-25
- 刊出日期: 2023-05-10

Determination of water price and estimation of water savings and emission reduction in groundwater irrigation areas: A case study of Nanpi County, Hebei Province

1.
School of Agricultural Economics and Rural Development, China Renmin University, Beijing 100872, China
2.
China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Funds: This study was supported by the Major Projects of National Social Science Foundation of China (18ZDA074) and the National Major Science and Technology Program for Water Pollution Control and Treatment of China (2018ZX07111001).

More Information

Corresponding author: E-mail: xyz0817@163.com

摘要

摘要: 研究并提出合理的水价调整方案是农业水价综合改革的需求。本文提出地下水灌区水价确定及其节水减排估算方法, 采用“以电折水”方法计算现状灌溉用水量与现状水价, 运用双对数模型建立灌溉用水价格弹性函数, 依据剩余价值方法计算理想水价, 借鉴农田营养物流失模型计算节水的营养物减排量。以河北省南皮县为例进行实证分析, 研究表明: 1)根据问卷调研数据与“以电折水”计算方法, 获得小麦和玉米现状水价分别为0.44 ¥∙m⁻³ 和0.48 ¥∙m⁻³。2)根据现状水价、现状灌溉用水量与双对数模型, 获得小麦和玉米水价弹性系数分别为−0.47和−0.71。3)灌溉定额对应的理论水价小麦和玉米分别为0.52 ¥∙m⁻³和0.77 ¥∙m⁻³, 理想水价分别为0.84 ¥∙m⁻³和1.01 ¥∙m⁻³。4)以理论水价作为推荐方案, 该方案下水费占成本比例低于15%, 小麦和玉米水价提升空间分别为0.08 ¥∙m⁻³和0.29 ¥∙m⁻³, 节水潜力为235.05 m³∙hm⁻²和682.80 m³∙hm⁻²; 氨氮、总氮和总磷的减排量小麦为5.2~19.2 g∙hm⁻²、52.7~195.4 g∙hm⁻²和4.6~16.9 g∙hm⁻², 玉米为18.5~27.6 g∙hm⁻²、189.1~281.2 g∙hm⁻²和16.3~24.3 g∙hm⁻²。农业水价综合改革是一项系统工程, 需要相关配套政策的支持, 建议在节水技术采纳、土地流转和规模化经营、灌溉定额管理制度等方面, 给予政策倾斜和相关的激励政策, 以利于农业水价综合改革的推进。
- 地下水灌区 /
- 农业水价 /
- 节水减排 /
- 灌溉定额 /
- 水价改革建议
Abstract: A comprehensive reform of agricultural water prices is required to study and propose a reasonable water price adjustment scheme. The method regarding the determination of water price and the estimation of water savings and pollutant emission reduction in groundwater irrigation areas were proposed, and the current irrigation water use and current water price were calculated by using the method of “converting electricity into the water”. The double logarithm model was used to establish the price elasticity function of irrigation water demand. The ideal water price was calculated using the residual value method, and the pollutant emission reduction from water savings was calculated using the farmland pollution logistics loss model. Taking Nanpi County of Hebei Province as an example, the results showed that the current water prices of wheat and corn are 0.44 ¥∙m⁻³ and 0.48 ¥∙m⁻³, respectively. The water price elasticity coefficients of wheat and corn are −0.47 and −0.71, respectively. The actual water prices of wheat and corn corresponding to the irrigation quota are 0.52 ¥∙m⁻³ and 0.77 ¥∙m⁻³, respectively, and the ideal water prices are 0.84 ¥∙m⁻³ and 1.01 ¥∙m⁻³, respectively. As per the recommended scheme, the theoretical water price accounts for less than 15% of the total cost, the increased range for water price of wheat and corn is 0.08 ¥∙m⁻³ and 0.29 ¥∙m⁻³, respectively; and the water-saving potential is 235.05 m³∙hm⁻², 682.80 m³∙hm⁻². The nutrient emission reduction of ammonia nitrogen, total nitrogen, and total phosphorus are 5.2−19.2 g∙hm⁻², 52.7−195.4 g∙hm⁻², and 4.6−16.9 g∙hm⁻² for wheat; and 18.5−27.6 g∙hm⁻², 189.1−281.2 g∙hm⁻², and 16.3−24.3 g∙hm⁻² for corn, respectively. As the comprehensive reform of agricultural water prices is a systematic project, it needs the support of relevant supporting policies. This study suggests the adoption of water-saving technology, land transfer, large-scale operation, and irrigation quota management systems to promote comprehensive reform of agricultural water prices through relevant incentive policies.
- Groundwater irrigation area /
- Agricultural water price /
- Water saving and emission reduction /
- Irrigation quota /
- Proposals for water price reform

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图 1 地下水灌区水价确定及其节水减排估算研究思路

Figure 1. Research ideas on determination of water price and estimation of water conservation and pollutant emission reduction in groundwater irrigation areas

下载: 全尺寸图片幻灯片

图 2 南皮县小麦(a)和玉米(b)灌溉用水价格和灌溉用水量曲线

Figure 2. Irrigation water demand price and irrigation water demand curves of wheat (a) and corn (b) in Nanpi County

下载: 全尺寸图片幻灯片

表 1 南皮县小麦、玉米生产投入产出参数值

Table 1. Input-output parameter values of wheat and corn production in Nanpi County

¥∙m⁻³
参数 Parameter	小麦 Wheat	玉米 Corn
产出 Output value	14 158.05	11 688.75
种子 Seed	1348.5	647.55
化肥 Chemical fertilizer	2361	1824.6
农药 Pesticides	260.1	222.45
除草剂 Herbicide	204.3	230.85
机械 Mechanical input	1760.7	1506.9
劳动 Labour	1771.95	1329.9
土地 Land input	2620.05	2758.5
平均用电量 Average electricity consumption	1470.45	914.55
灌溉电费 Irrigation electricity charge	1128.6	769.5
数据来源于问卷调研。The data came from a questionnaire survey.

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表 2 南皮县灌溉用水量与水价计算结果

Table 2. Calculation results of irrigation water consumption and water price in Nanpi County

作物 Crop	现状 Current situation	理论 Theory			理想 Ideal
作物 Crop	灌溉用水量 Irrigation water volume (m³∙hm⁻²)	以电折水计算水价 Water price calculated through converting electricity into water (¥∙m⁻³)	灌溉定额 Irrigation quota (m³∙hm⁻²)	理论水价 Theoretical water price (¥∙m⁻³)	余值方法计算水价 Water price calculated with residual value method (¥∙m⁻³)	用水量 Water demand (m³∙hm⁻²)
小麦 Wheat	3235.05	0.44	3000	0.52	0.84	2392.20
玉米 Corn	2377.80	0.48	1695	0.77	1.01	1395.45

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表 3 南皮县灌溉用水价格弹性函数

Table 3. Price (P) elasticity function of irrigation water demand (Q) in Nanpi County

作物 Crop	用水价格函数 Water demand price function	弹性系数 Elasticity coefficient	调整的R² Adjusted R²	显著性(P) Test of significance
小麦 Wheat	lnQ=−0.47lnP+4.99	−0.47	62.04	0.0039
玉米 Corn	lnQ=−0.71lnP+4.54	−0.71	62.04	0.0053

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表 4 不同水价改革情景方案下南皮县农业水价提升空间及其节水减排估算结果

Table 4. Increasing range of agricultural water price, estimated results of water conservation and pollutant emission reduction under different water price reform schemes in Nanpi County

情景方案 Reform scheme	作物 Crop	现状水价 Current water price (¥∙m⁻³)	改革后水价 Water price after reform (¥∙m⁻³)	现状用水量 Current water use (m³∙hm⁻²)	改革后用水量 Water use after reform (m³∙hm⁻²)	节水潜力 Water saving potential (m³∙hm⁻²)	节水减排量 Amount of pollutant emission reduction (g∙hm⁻²)			灌溉水费占成本比例 Proportion of irrigation water charge in total cost (%)
情景方案 Reform scheme	作物 Crop	现状水价 Current water price (¥∙m⁻³)	改革后水价 Water price after reform (¥∙m⁻³)	现状用水量 Current water use (m³∙hm⁻²)	改革后用水量 Water use after reform (m³∙hm⁻²)	节水潜力 Water saving potential (m³∙hm⁻²)	氨氮 Ammonia nitrogen	总氮 Total nitrogen	总磷 Total phosphorus	现状 Current situation	改革后 After reform
理论水价 Theoretical water price	小麦 Wheat	0.44	0.52	3235.05	3000.00	235.05	5.2	52.7	4.6	12.43	13.62
理论水价 Theoretical water price	玉米 Corn	0.48	0.77	2377.80	1695.00	682.80	18.5	189.1	16.3	12.29	14.05
理想水价 Ideal water price	小麦 Wheat	0.44	0.84	3235.05	2392.20	842.85	19.2	195.4	16.9	12.43	17.54
理想水价 Ideal water price	玉米 Corn	0.48	1.01	2377.80	1395.45	982.35	27.6	281.2	24.3	12.29	17.01

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参考文献(22)

[1]	康绍忠. 水安全与粮食安全[J]. 中国生态农业学报, 2014, 22(8): 880−885 KANG S Z. Towards water and food security in China[J]. Chinese Journal of Eco-Agriculture, 2014, 22(8): 880−885
[2]	赵令, 雷波, 苏涛, 等. 我国粮食主产区农业灌溉节水潜力估算研究[J]. 节水灌溉, 2019(8): 130−133 doi: 10.3969/j.issn.1007-4929.2019.08.026 ZHAO L, LEI B, SU T, et al. Estimation of water-saving potential of agricultural irrigation in main grain producing areas of China[J]. Water Saving Irrigation, 2019(8): 130−133 doi: 10.3969/j.issn.1007-4929.2019.08.026
[3]	刘维哲, 王西琴. 农户稀缺感知、超采认知对地下水灌溉用水效率的影响−基于河北地下水超采区457个农户调研数据[J]. 中国生态农业学报(中英文), 2021, 29(5): 929−936 LIU W Z, WANG X Q. Impact of farmers’ scarcity perception and overdrawn cognition on efficiency of groundwater irrigation: based on the survey data of 457 farmer households in groundwater overdraft area of Hebei Province[J]. Chinese Journal of Eco-Agriculture, 2021, 29(5): 929−936
[4]	粟晓玲, 宋悦, 刘俊民, 等. 耦合地下水模拟的渠井灌区水资源时空优化配置[J]. 农业工程学报, 2016, 32(13): 43−51 doi: 10.11975/j.issn.1002-6819.2016.13.007 SU X L, SONG Y, LIU J M, et al. Spatiotemporal optimize allocation of water resources coupling groundwater simulation model in canal-well irrigation district[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(13): 43−51 doi: 10.11975/j.issn.1002-6819.2016.13.007
[5]	王西琴, 尹华玉, 罗予若. 河北地下水超采区基于农户水费承受能力的水价提升空间[J]. 西北大学学报(自然科学版), 2020, 50(2): 234−240 WANG X Q, YIN H Y, LUO Y R. Lifting space of agricultural water price on farmers’ affordability in the groundwater overmining area of Hebei[J]. Journal of Northwest University (Natural Science Edition), 2020, 50(2): 234−240
[6]	毛春梅. 农业水价改革与节水效果的关系分析[J]. 中国农村水利水电, 2005(4): 2−4 doi: 10.3969/j.issn.1007-2284.2005.04.002 MAO C M. Analysis of the relationship between agricultural water price reform and water-saving effect[J]. China Rural Water and Hydropower, 2005(4): 2−4 doi: 10.3969/j.issn.1007-2284.2005.04.002
[7]	JIA S F, LONG Q B, WANG R Y, et al. On the inapplicability of the Cobb-Douglas production function for estimating the benefit of water use and the value of water resources[J]. Water Resources Management, 2016, 30(10): 3645−3650 doi: 10.1007/s11269-016-1349-z
[8]	刘莹, 黄季焜, 王金霞. 水价政策对灌溉用水及种植收入的影响[J]. 经济学(季刊), 2015, 14(4): 1375−1392 doi: 10.13821/j.cnki.ceq.2014.04.08 LIU Y, HUANG J K, WANG J X. The impact of water pricing policy on water use in irrigation and crop income[J]. China Economic Quarterly, 2015, 14(4): 1375−1392 doi: 10.13821/j.cnki.ceq.2014.04.08
[9]	KIPROP J, LAGAT J, MSHENGA P, et al. Determining the economic value of irrigation water in Kerio Valley basin (Kenya) by residual value method[J]. Journal of Economics and Sustainable Development, 2015, 6: 102−107
[10]	DEYTIEUX V, MUNIER-JOLAIN N, CANEILL J. Assessing the sustainability of cropping systems in single- and multi-site studies. A review of methods[J]. European Journal of Agronomy, 2016, 72: 107−126 doi: 10.1016/j.eja.2015.10.005
[11]	MITROPOULOS P, TALIAS Μ A, MITROPOULOS I. Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: an application to Greek public hospitals[J]. European Journal of Operational Research, 2015, 243(1): 302−311 doi: 10.1016/j.ejor.2014.11.012
[12]	王西琴, 张馨月, 周嫚, 等. 基于门限效应的灌溉水价与用水量关系−以河北省地下水灌区为例[J]. 资源科学, 2021, 43(12): 2538−2545 doi: 10.18402/resci.2021.12.15 WANG X Q, ZHANG X Y, ZHOU M, et al. Relationship between agricultural water price and water use based on threshold effect: a case study of groundwater irrigation area in Hebei[J]. Resources Science, 2021, 43(12): 2538−2545 doi: 10.18402/resci.2021.12.15
[13]	王文浩, 曹红霞, 蔡焕杰. 灌溉水价与灌区灌溉用水量关系研究[J]. 灌溉排水学报, 2013, 32(1): 82−85 WANG W H, CAO H X, CAI H J. Relationship between irrigation water price and consumption[J]. Journal of Irrigation and Drainage, 2013, 32(1): 82−85
[14]	左燕霞. 农业节水潜力分析与灌溉用水优化配置研究——以南水北调中线工程河北受水区为例[D]. 兰州: 甘肃农业大学, 2007 ZUO Y X. The analysis of angriculture water saving potential and study on irrigation water resources optimal allocation — Take Hebei water reception areas of the south-to-north water transfer middle route project as an example[D]. Lanzhou: Gansu Agricultural University, 2007
[15]	王剑永. “以电折水”方法研究与应用[J]. 中国水利, 2017(11): 34−35, 28 doi: 10.3969/j.issn.1000-1123.2017.11.012 WANG J Y. Research and application of the method of “converting electricity into water”[J]. China Water Resources, 2017(11): 34−35, 28 doi: 10.3969/j.issn.1000-1123.2017.11.012
[16]	BERBEL J, MESA-JURADO M A, PISTÓN J M. Value of irrigation water in Guadalquivir Basin (Spain) by residual value method[J]. Water Resources Management, 2011, 25(6): 1565−1579 doi: 10.1007/s11269-010-9761-2
[17]	AIDAM W P. The impact of water-pricing policy on the demand for water resources by farmers in Ghana[J]. Agricultural Water Management, 2015, 158: 10−16 doi: 10.1016/j.agwat.2015.04.007
[18]	杨旭洋, 刘彬, 闫丹丹, 等. 河北省南部平原区冬小麦灌溉用水量分析[J]. 节水灌溉, 2018(2): 83−87, 92 doi: 10.3969/j.issn.1007-4929.2018.02.017 YANG X Y, LIU B, YAN D D, et al. Analysis of irrigation water use of winter wheat in southern plain area of Hebei Province[J]. Water Saving Irrigation, 2018(2): 83−87, 92 doi: 10.3969/j.issn.1007-4929.2018.02.017
[19]	王学, 李秀彬, 辛良杰. 河北平原冬小麦播种面积收缩及由此节省的水资源量估算[J]. 地理学报, 2013, 68(5): 694−707 doi: 10.11821/xb201305010 WANG X, LI X B, XIN L J. Impact of the shrinking winter wheat sowing area on agricultural water consumption in the Hebei Plain[J]. Acta Geographica Sinica, 2013, 68(5): 694−707 doi: 10.11821/xb201305010
[20]	贾绍凤, 康德勇. 提高水价对水资源需求的影响分析−以华北地区为例[J]. 水科学进展, 2000, 11(1): 49−53 doi: 10.3321/j.issn:1001-6791.2000.01.009 JIA S F, KANG D Y. Influence of water price rising on water demand in North China[J]. Advances in Water Science, 2000, 11(1): 49−53 doi: 10.3321/j.issn:1001-6791.2000.01.009
[21]	裴源生, 方玲, 罗琳. 黄河流域农业需水价格弹性研究[J]. 资源科学, 2003, 25(6): 25−30 doi: 10.3321/j.issn:1007-7588.2003.06.005 PEI Y S, FANG L, LUO L. Price elasticity of agricultural water demand in China[J]. Resources Science, 2003, 25(6): 25−30 doi: 10.3321/j.issn:1007-7588.2003.06.005
[22]	王钇霏, 许朗. 粮食安全视域下农业水价改革空间研究[J]. 节水灌溉, 2021(11): 65−70 doi: 10.3969/j.issn.1007-4929.2021.11.012 WANG Y F, XU L. Research on agricultural water price reform space from the perspective of food security[J]. Water Saving Irrigation, 2021(11): 65−70 doi: 10.3969/j.issn.1007-4929.2021.11.012