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Article

An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services

College of Management Science, Chengdu University of Technology, Chengdu 610059, China
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(20), 8296; https://doi.org/10.3390/su12208296
Submission received: 16 August 2020 / Revised: 15 September 2020 / Accepted: 28 September 2020 / Published: 9 October 2020
(This article belongs to the Special Issue Agrodiversity and Sustainable Land Management)

Abstract

:
The process of ecosystem service value evaluation has developed from the use of a single economic value that only accounts for material products to an assessment of ecological value and the value of ecosystem services. However, due to the complexity of ecosystems and different understandings of ecosystem service values, different classification methods of ecosystem services and service values have been developed internationally, and this has resulted in a lack of clarity regarding the correlation between ecosystem service value and various ecosystems. The correspondence between the system and each value type is not clear; therefore, based on an analysis of the inadequacy of domestic and foreign ecosystem service classification systems and methods, this study constructed a new accounting framework for non-monetary ecosystem service functions based on emergy analysis and integrated monetary accounting methods. The practical application of the method was also researched. The research results re-classified the value of ecosystem services, established an accounting method for various ecosystem service values, clarified the principle of addition in accounting, and avoided double counting. In the empirical analysis, a large number of correlation coefficients, parameters, and index values found in the foreign literature were used, so, our method also has value for international use.

1. Introduction

In recent years, various economic methods have been used to monetize the value of farmland ecological service systems, forest ecosystems, and wetland ecological service systems, and some progress has been made [1]. Several studies on the evolution of land use and the ability of landscapes to provide selected ecosystem services (ESs) have found that the assessed areas have the greatest capacity to provide ecological integrity, which decreases slightly due to category changes. In addition, it has been verified that ecological integrity and regulation services have similar development characteristics [2]. Researchers have applied the concept of project evaluation system (PES) to the monetary valuation of natural forest habitats and created the Natura 2000 European network. The results of such studies indicate that the method used to monetize forest biodiversity in protected areas is a promising tool for decision-making in countries where the results of habitat mapping are available [3]. Most of the evaluation methods are directly or indirectly based on the measurement of individual willingness to pay for ecosystem services. Global ecosystem service value evaluation is generally based on the global static total balance input and output model and the global static partial balance model [4]. However, due to the complexity of the ecosystem itself and the interdependence between various services, the classification of ecosystem services lacks precise standards [5]. Additionally, there are complex scale conversion issues in time and space, which makes the ecosystem difficult to evaluate. First, evaluating the value system services is prone to double calculation; second, because of the limitations of economic methods, different evaluation methods are often required for different evaluation objects and evaluation goals, and, thus, the evaluation results depend to a large extent on the methods selected, which results in a lack of comparability between the results [6]; and third, because ecosystems are different from economic systems, sometimes it is difficult to evaluate the value of natural systems using economic methods, especially when humans are involved and preferences for ecosystem services change over time and new information emerges [7]. Therefore, there are still many controversies in the field of value evaluation of ecosystem services. The focus of the debate is mainly on the necessity and effectiveness of the monetary evaluation of ecosystem services [8].
From an accounting perspective, traditional economic methods use economic value to measure ecosystem services, where economic value refers to the total willingness to pay for services or compensation for losses under strict economic conditions [9]. The two main methods that are used include the preference value evaluation method and the statement preference value evaluation method. Both are based on human preference or perceived value [10]. However, because ecosystems can provide services that are not perceived by humans, are difficult to define, or will be manifest in the future, the traditional economic value evaluation methods that are centered on human perception have limitations. Therefore, a method is needed to systematically and comprehensively calculate the value of ecosystem services from the perspective of ecosystem stakeholders.
The emergy analysis method can convert different grades and different types of substances or energy into a unified measurement scale through the emergy conversion rate [11], that is, solar energy value, so as to solve the problem of the lack of a common measurement scale in the current ecosystem service value accounting. This method helps to quantify the amount of environmental work that supports each flow or storage, and evaluate each resource from the perspective of its endowment value (contributor side), rather than basing the value on human preferences and market contingency. The early ecological methods for calculating the value of ecosystem services mainly used emergy analysis methods to calculate the emergy value of ecosystem services, and then converted it into an emergy monetary value to find the economic value. However, many studies are still limited due to improper use of the emergy conversion rate, which is not completely based on the supplier’s perspective in its methodology, and it still uses the currency amount × emergy to currency ratio [12]. The core difference between monetary and non-monetary quantity ecosystem service value accounting is that the non-monetary quantity method and the monetary quantity method have different advantages in calculating the value of services from natural systems and the value based on human preference, thus, the most advantageous method needs to be used to calculate the value of the ecosystem. When the currency quantification method ($) and the emergy quantification method cannot reflect the market value after being converted to currency (Em$), the emergy analysis method can at least serve as a bridge between the monetary and non-monetary value accounting methods. The emergy method can be used to determine the “biosphere value” of ecological capital and service functions [13]. This value actually complements the existing monetary value assessment. In practice, a dual accounting method can be used, that is, energy is used to record environmental liabilities, and a monetized balance sheet is established to illustrate the economic situation and the environmental contribution to economic contribution [14]. It is possible to construct an ecosystem classification system that includes triple values by referring to the current literature research results, thereby reconstructing the non-monetary accounting analysis framework of ecosystem services, and partially integrating the accounting methods of monetary amounts. On this basis, based on this theoretical and methodological framework, according to the characteristics of different ecosystems, we provide non-monetary accounting methods for the value of ecosystem services and make relevant case studies. In the calculation of the value of ecosystem services, the calculation of more value indicators requires expert knowledge to judge, and the values of more parameters, coefficients, and indicators are also highly regional [15]. Therefore, empirical evaluation methods also play an important role in the evaluation of ecosystem services.

2. Methodologies and Calculation

2.1. Construction of Non-Monetary Ecosystem Service Value Accounting Framework

According to the research results of related literature [16], the value of ecosystem services is classified, and the classification results are shown in Table 1.
According to the new ecosystem service classification system, a non-monetary quantity ecosystem service value evaluation framework is constructed (see Figure 2 in reference [17]).
The new assessment framework refers to the results of the classification of ecosystems in the National Ecosystem Classification System Based on Remote Sensing Technology, and divides the value of ecosystem services into direct value, indirect value, and existence value. The three types of value are further divided into different sub-categories. The classification of direct value is based on NPP stock, soil stock, and water stock; indirect value is mainly based on the influence of different media, such as air, water, and soil. The tourism and leisure value and cultural and educational value in the existing value classification should be distinguished between local and non-local, so as to use an appropriate emergy currency ratio; the regulation of water storage and runoff mainly consider the circulation of water bodies, which can actually be regarded as the role of wetland ecosystem. Glacier/permanent snow is also equivalent to a body of water, but considering the particularity of its form, it is listed as a separate ecosystem, and its role in regulating runoff is emphasized. On this basis, the new framework also provides accounting principles for direct value, indirect value, and existence value. We established a basic accounting database and performed accounting.

2.2. Methods

2.2.1. Construction of Non-monetary Ecosystem Service Value Accounting Framework

According to the interface design of the integration of non-monetary quantity and monetary quantity, this paper adopts emergy analysis method as the non-monetary quantity accounting method. First, the emergy analysis method is used to calculate the emergy monetary value of the relevant service value indicators listed in Table 1. The specific accounting method is as follows:
(1) Increase NPP. Its calculation formula is:
E m n p p = max ( R i )
In Equation (1), Ri refers to all renewable emergy inputs in the area where the ecosystem is located (manual inputs may not be considered).
(2) Provision of agricultural products = agricultural product output × energy conversion factor × emergy conversion rate.
(3) Carbon fixation and oxygen release:
E m C S = 1 2 Δ B × S × U E V B i o = 1 2 × B T × S × U E V B i o = 1 2 × B T × S × E m N P P / S N P P
In Equation (2), EmCS, ΔB, B, T, S, UEVBio, and NPP are the energy required for carbon sequestration (sej), the amount of farmland carbon sequestration (g·hm−2·a−1), biomass added value (g·hm−2·a−1), biomass stock (g), time (a), farmland area (hm2), energy conversion rate (sej·g−1), and primary productivity (g·hm−2·a−1).
(4) Increase soil. The soil calculation formula is as follows:
E m S C = E m R E × k 1 × k 2
In Equation (3), EmSC, EmRE, k1, and k2 are the energy value (sej) and the energy value (sej·a−1), the proportion of farmland litter to the farmland biomass (%), and the carbon content of farmland litter as the proportion of litter (%).
Minerals come from renewable resources and soil-forming parent materials, and the calculation formula is:
E m M = i = 1 n [ P i j M × B D i × D i × S ) / T j ] × U E V j M
In Equation (4), EmM, PijM, BDi, Di, S, Tj, U E V j M are energy value (sej), mineral content percentage (%), soil bulk density (g·cm−3), depth (cm), farmland area (hm2), turnaround time (a), energy conversion rate of soil minerals (sej·g−1), respectively.
(5) Conserve water. The formula for calculating the energy value (Emgr, sej) of farmland conservation water sources is as follows:
E m g r = P × S × ρ × k × U E V C W
In Equation (5), P, S, ρ, k, UEVCW are the annual precipitation of farmland (mm), farmland area (hm2), water density (g·cm−3), precipitation infiltration replenishment coefficient, and groundwater emergy conversion rate (sej·g−1).
(6) Purify air pollutants. The calculation formula for the reduction of human health loss is as follows:
E m h h = M i × S × D A L Y i × τ H
In Equation (6), Emhh and Mi are energy value (sej) and air pollutant purification capacity (kg·hm−2·a−1); DALYi is the impact factor, DALY refers to the total life lost/year, τH is the total regional emergy/total population (sej·cap−1). In the same way, the formula for calculating the loss of ecological resources is as follows:
E m e q = M i × P D F i × E m s p
In Equation (7), Emeq, Mi, PDFi, and Emsp are energy value (sej), pollutant purification capacity (kg·hm−2·a−1), species potential extinction ratio (1), and emergy, respectively.
(7) Purify water and soil pollutants. The value of farmland purification of water and soil pollutants is to convert the purification ability in the formula for purifying air pollutants into the ability of farmland to purify the i-th heavy metal.
(8) Purifying human and livestock excrement can be regarded as a part of purifying water and soil.
(9) Adjust the climate. Using the carbon sequestration of the farmland ecosystem, the calculation formula is as follows:
E m C R 1 = C i × S × D A L Y c i × τ H
E m C R 2 = C i × P D F i × E m s p
In Equations (8) and (9), EmCR1 Ci, S, DALYci, τH, EmCR2, PDFi, Emsp are the energy value (sej) and the annual average fixed amount (kg·hm−2, the area of farmland ecosystem (hm2), the impact factor of the i-th carbon-containing greenhouse gas in the Eco-indicator 99 assessment framework, the regional total energy value/total population (sej·cap−1), others are the same. The meaning of variables will not be repeated.
(10) Biodiversity is calculated as follows:
E b c = N 1 × S × ( G E B × T ) / T 0
In Equation (10), Ebc, N1, S, GEB, T, T0 are emergy (sej), species density (number·hm−2), farmland ecosystem area (hm2), global emergy benchmark rate (sej), turnaround time (a), number of global species, respectively.
(11) The tourism and leisure value of farmland can be calculated as follows:
E m T = I T × E m R
In Equation (11), EmT, IT, EmR are corresponding emergy (sej), tourism income ($), and local emergy currency ratio (sej·$−1).
(12) The formula for calculating the cultural and educational service value of the farmland ecosystem is as follows:
E m w = I w × E m R
In Equation (12), Emw and Iw are emergy (sej) and fixed asset investment in culture, entertainment, and sports ($).

2.2.2. Principles of Ecosystem Service Value Accounting

The following principles must be followed in the calculation of ecosystem service values.
(1)
For direct value, when calculating the increase of NPP and carbon fixation and oxygen release index values, the maximum of the three must be taken; when calculating the increase of soil index values, take the sum of soil organic matter and mineral increase; finally, all the direct value index values are added as the total direct value of ecosystem services.
(2)
For indirect service value, due to the different losses of human health and ecological resources caused by different atmospheric, water, soil pollutants, and human and animal excreta, the sum of the losses is taken as the indirect service value of the ecosystem.
(3)
For the existence value, take the maximum value of both tourism value and cultural education value, plus the value of existence value indicators such as climate adjustment and water storage capacity as the total existence value.
(4)
The total ecosystem service value is equal to the sum of the direct value, indirect value, and existence value of the ecosystem service.

3. Example Application Analysis and Discussion

3.1. Accounting of Farmland Ecosystem Services in Chongqing

We applied the ecosystem classification system, non-monetary accounting framework, and principles proposed by this research, and partially integrated monetary accounting methods, to calculate the value of farmland ecosystem services in Chongqing, China from 2007 to 2016. The calculation results verify the applicability and international generalizability of the method proposed in this study, reveal the regularity problems in the application of the method, and enrich and improve the service value accounting method system of different ecosystem types.
The application test used different types of land use data in Chongqing, China: China Chongqing Statistical Yearbook within the statistical year, Chongqing National Economic and Social Development Statistical Bulletin, actual monitoring data of cultivated land in Chongqing, and the values of parameters, coefficients, and indicators in related research documents. The emergy reference rate is 12 × 1024 (sej·a−1), and the emergy conversion rate is quoted for the corresponding correction. For the selection of basic accounting data, emergy conversion rate, and related process parameters, see Table 2, Table 3, Table 4 and Table 5. The final calculation results are shown in Table 6, Table 7, Table 8 and Table 9.

3.2. Analysis of Accounting Results and Method Evaluation of Ecosystem Service Value

From the analysis of the calculation results, the value of farmland ecosystem services in Chongqing City has shown a linear and slow growth from 2007 to 2016. In 2007, the value of farmland ecosystem services in Chongqing was 19.58 × 1010 yuan, and in 2016 it was 27.28 × 1010 yuan. The total amount increased by 39% in nine years. From the perspective of changes in single index values, the index values of carbon fixation and oxygen release, agricultural product supply, soil increase, water conservation, air purification, and biodiversity have increased significantly. Biodiversity increased by 93.33%, and purified water and soil increased by 9.09%. This also reflects that in the farmland ecosystem, the range of changes of the indicators is inconsistent, the structure is not balanced, and the status and role of the indicators in the entire system are inconsistent. Chongqing’s farmland ecological environment needs continuous improvement. From the perspective of spatial distribution, the value of farmland ecosystem services in various districts of Chongqing is inconsistent, reflecting the imbalance in the spatial distribution of the value of farmland ecosystem services in Chongqing. The growth of the value of ecological services in each area is relatively stable, with a growth rate of about 39%; the per capita growth rate is about 28.5%. It reflects the continuous improvement of the farmland ecological environment in Chongqing in the past ten years, and the system input and output have both increased steadily.
The calculation results obtained by using this research method are generally higher than those obtained by the original literature using traditional economic methods. This is in line with the fact that the emergy value of the ecosystem is much higher than that obtained by the original literature‘s theoretical analysis and expectations of market value. The change rule of each individual index value is slightly different from the results of the original literature.
In terms of the ecosystem service classification system, the classification system constructed by this research overcomes some of the problems existing in the actual operation of the traditional classification system. For example, simply adding up the value of all ecosystem services and calculating the value of supply products and NPP at the same time caused double calculation problems, the problem of limited ecosystem purification capacity in mediation services, and the problem of exaggerated calculation caused by the superposition of cultural service value; in the calculation, the support services are included in the total value, which causes the problem of exaggerated calculation.
Analyzed from the accounting principle, firstly, double calculation is avoided in the aspects of increasing NPP and carbon fixation and oxygen release; it is more objective and practical to increase the soil value to calculate the sum of soil organic matter and minerals. When calculating the value of indirect services, generally take the sum of the loss of air and water, soil pollutants, and human and animal excrement to human health and ecological resources. The calculation method refers to the calculation method of the value of air purification, and the calculation is simple and effective. When there is service value, the maximum value of tourism value and cultural education value is generally taken as the calculation total, to avoid exaggerating calculation.
Analyzed from the accounting method, this study also has a preset method lacking certain operability in the emergy calculation of ecosystem services, and it is concreted according to the actual system service; there are many parameters, coefficients, and indicators in the emergy analysis method. The value must be obtained with full reference to the research results in other research documents. For cultural and educational values and other indicators based on willingness to pay, there is still a lack of more general and effective accounting methods, which also affects the reliability of accounting results.
Through the case analysis and application test of the farmland ecosystem service value of this research method, the regional applicability and generalizability of a new classification system, accounting framework, accounting principles, and accounting methods are further verified, and the farmland ecology is enriched. We presented a system service value accounting method system and put forward theoretical presuppositions and method guidelines for the practical verification of other types of ecosystem service value accounting. Although this study has only done the application test of the service value accounting of the farmland ecological service system in Chongqing, China, and fully integrated the regional reality of Chongqing in the calculation of cultural tourism service value in the emergy analysis and calculation of the ecological service system, many parameters, coefficients, and indicator values draw on the latest research results of current global ecosystem service value accounting, so this research still has good international promotion and application value.

4. Conclusions

Using the ecosystem service classification system, ecosystem service non-monetary accounting analysis framework, and accounting analysis principles proposed in this study, and partially integrating monetary accounting methods, the application verification was carried out by taking the value accounting of the farmland ecosystem service system in Chongqing, China as an example. It was calculated that the total value of farmland ecosystem services in Chongqing, China in 2007 was 19.58 × 1010 yuan, of which the direct value was 9.4 × 1010 yuan, the indirect value was 2.28 × 1010 yuan, and the existing value was 8.05 × 1010 yuan. The total value of farmland ecosystem services in Chongqing, China in 2016 was 27.28 × 1010 yuan, of which the direct value was 14.34 × 1010 yuan, the indirect value was 2.96 × 1010 yuan, and the existing value was 10.25 × 1010 yuan. An increase of 39.32% was seen in 2016 over 2007. From 2007 to 2016, the value of farmland ecosystem services in Chongqing, China showed an increasing trend, with small fluctuations in individual years; the spatial distribution of the value of farmland ecosystem services in Chongqing, China remained basically stable, with small fluctuations in individual years.
Compared with the calculation results in the original literature, the calculation results obtained by this research method conform to the theoretical analysis expectation that the emergy value of the ecosystem is much higher than its market value.
From the perspective of the accounting process, this study has adopted and borrowed more parameters, coefficients, and index values in the international evaluation method, so it has a certain international promotion and reference value; at the same time, in the application of the monetary value accounting method, it combines research. The actual situation and experience of the region have obvious regional characteristics. Determining how to scientifically and effectively determine the non-monetary amount accounting and integrate the parameters, coefficients, and index values involved in the monetary amount accounting method, and organically combine the international universality and regional uniqueness of the selection of parameters, coefficients, and index values, and reveal the value of ecosystem services should be topics for further research. The general rules for the selection of parameters, coefficients, and index values in the accounting will be the key content of the future global ecosystem service value accounting theory and practice research.
The method proposed in this study provides a good method guide for the calculation of the value of farmland ecosystem services. However, due to the huge differences and complexity among various ecosystems, a new accounting framework, principles, and methods need to be further applied and tested and revealed in different types of ecosystem service value accounting. This is also what this research needs to carry out further in the future.

Author Contributions

Conceptualization, Y.L. and X.L.; methodology, Y.Y.; writing—original draft preparation, Y.Y.; writing—review and editing, Y.L.; funding acquisition, Y.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research is founded by the Sichuan Province Soft Science Research Project “Green Governance Path for Value Accounting and Conversion of Park City Ecological Service System” (2020RKX0421) and the Chengdu University of Technology special project to study Xi Jinping ecological civilization thought (2019).

Acknowledgments

This research has received strong support and help from Wang Minxi, Gao Yan and the author of the literature. Thank them for their helps.

Conflicts of Interest

The authors declare no conflict of interest.

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Table 1. Classification system of ecosystem services.
Table 1. Classification system of ecosystem services.
First Level
Index
Secondary
Index
ForestWetlandFarmlandGrasslandDesertSaline LandGlacier/Permanent SnowTundraSparse
Vegetation
Bare Ground and LichenTraffic SiteLive SiteIndustrial Land
Direct valueIncrease NPP
Provide agricultural products
Carbon fixation and oxygen release
Increase soil
Groundwater replenishment
Water conservation
Provide water
Provide water and electricity
Indirect valuePurify the atmosphere
Purify water
Purify the soil
Reduce soil erosion
Reduce erosion
Purify human and animal waste
Purify livestock waste
Existential valueRegulate the climate
Water storage capacity
Regulate runoff
Travel
Cultural education
Biodiversity
Table note: In the table, “●” means that there are such services.
Table 2. Description of data sources for this study.
Table 2. Description of data sources for this study.
Data Type Data Source
Data on land use type in Chongqing region in 2007–2016 Chinese Academy of Sciences Resource and Environment Science Data Center
Physical and parameter dataRenewable resources: solar radiation, precipitation, annual mean wind speed, average altitude, etc.Chongqing Statistical Yearbook 2017, Statistical Communiqué on Chongqing’s National Economic and Social Development
NPP data of farmland ecosystem[18]
Proportion of farmland ecosystem litter to farmland ecosystem biomass[19]
Mineral content[20]
Rainfall infiltration coefficient[21]
Absorptive capacity of forest Ecosystems to air pollutants[22]
Disability-adjusted life years and potentially disappeared fraction of species[20]
Potential erosion coefficient and actual erosion coefficient[23]
Vaporization[24]
Tourism income of forest ecosystemChongqing Statistical Yearbook 2007–2016
Unit emergy value (UEV) Table
Table 3. Emergy analysis of farmland ecosystem service values in Chongqing in 2017.
Table 3. Emergy analysis of farmland ecosystem service values in Chongqing in 2017.
Item Raw DataUEV (Sej·Unit−1)Total Emergy (Sej·a−1)Reference
Renewable resourcesSunlight0.71 × 1019 J10.71 × 1019[25]
Geothermal energy4.68 × 1014 J4.90 × 1032.29 × 1018[25]
Wind energy6.59 × 1015 J7.90 × 1025.21 × 1018[25]
Rain chemical potential8.35 × 1012 J1.54 × 1041.29 × 1016[25]
Runoff potential energy1.92 × 1016 J1.28 × 1042.46 × 1020[25]
Runoff chemical potential energy5.98 × 1012 J2.13 × 1041.27 × 1017[25]
Direct valueNPP increaseUpdateable resource calculation results in this tableUpdateable resource calculation results in this table2.61 × 1020this research
Agricultural productsStatistical YearbookReference [25]2.97 × 1020this research
Carbon sequestration1.06 × 10122.57 × 1081.19 × 1020this research
Increase soilTable 2 and Table 3, Equation (4)Table 2 and Table 3, Equation (4)5.94 × 1019this research
Water conservation4.39 × 10142.23 × 1059.79 × 1019[25]
Indirect valuePurify the atmosphereTable 4 and Table 5, Equations (7) and (8)Table 4 and Table 5, Equations (7) and (8)1.07 × 1021this research
Purify water and soilTable 4 and Table 5, Equations (7) and (8)Table 4 and Table 5, Equations (7) and (8)6.63 × 1020this research
Existing valueRegulate the climateTable 4 and Table 5, Equations (9) and (10)Table 4 and Table 5, Equations (9) and (10)1.72 × 1022[16]
Tourism valueTable 6 and Equation (12) calculationTable 6 and Equation (12) calculation2.11 × 1022this research
Cultural education and entertainment valueInvestment in fixed assets and calculation in Table 6 and Equation (13)Investment in fixed assets and calculation in Table 6 and Equation (13)1.63 × 1022this research
BiodiversityTable 2, Table 3 and Table 4 and Equation (11)Table 2, Table 3 and Table 4 and Equation (11)1.33 × 1020this research
Table 4. Coefficients on accounting soil organic matter increase and groundwater recharge of forest ecosystem.
Table 4. Coefficients on accounting soil organic matter increase and groundwater recharge of forest ecosystem.
Forest TypeBiomass (Mg·hm−2·a−1)Farmland Litter (Mg·hm−2·a−1)K1 (%)K2 (%)Precipitation Infiltration Recharge Coefficient (k)
Food crops5.59 ± 1.861.4245.3500.136
Small woodland10.27 ± 1.942.8859.4500.141
Shrub and grass3.99 ± 3.561.0965.1500.138
Table 5. Air and soil pollutants and their environmental impacts.
Table 5. Air and soil pollutants and their environmental impacts.
Pollution Type Damage to Human HealthDisability Adjusted Life YearsEcological Damage CategoryPotentially Disappeared Fraction of Species (%·m−2·a−1)
Air pollutantSO2Respiratory diseases5.46 × 10−5Acidification and eutrophication1.04
XFClimate change7.48 × 10−4
NOxRespiratory diseases8.87 × 10−5Acidification and eutrophication5.71
CORespiratory effects7.31 × 10−7
O3Ozone layer depletion1.53 × 10−3
PM10Respiratory diseases3.75 × 10−4
PM2.5Respiratory diseases7.00 × 10−4
Soil pollutantZn -Ecotoxicological effects2.27 × 103
Cu -Ecotoxicological effects1.08 × 103
Pb -Ecotoxicological effects8.83
CrCarcinogenic substance2.71 × 10−1Ecotoxicological effects2.87 × 103
NiCarcinogenic substance3.94 × 10−3Ecotoxicological effects5.27 × 103
Hg -Ecotoxicological effects1.15 × 103
As -Ecotoxicological effects4.28 × 102
Table 6. Emergy currency ratios of countries that generate tourism revenue for Chongqing.
Table 6. Emergy currency ratios of countries that generate tourism revenue for Chongqing.
CountryEnergy Monetary Ratio (Sej·Yuan−1)
China3.11 × 1012
Japan9.87 × 1011
South Korea1.94 × 1012
United States1.66 × 1012
United Kingdom2.25 × 1012
France2.42 × 1012
Germany4.32 × 1012
Russia4.86 × 1012
Table 7. Changes in the values of farmland ecological services in Chongqing from 2007 to 2016 (yuan).
Table 7. Changes in the values of farmland ecological services in Chongqing from 2007 to 2016 (yuan).
Year20072008200920102011
Literature results (1010 yuan)9.79.510.510.39.95
Results of this article (1010 yuan)19.5821.3522.0722.8323.57
Year20122013201420152016
Literature results (1010 yuan)10.810.911.711.911.95
Results of this article (1010 yuan)24.3824.9726.4826.9527.28
Table 8. Changes in the values of farmland ecological services in Chongqing from 2007 to 2016.
Table 8. Changes in the values of farmland ecological services in Chongqing from 2007 to 2016.
Type of Ecological Services ValueValue (1010 Yuan)Change from 2007 to 2016
20072016Quantity (1010 Yuan)Rate (%)
Direct valueIncrease NPP3.094.261.1737.86
Carbon fixation and oxygen release2.113.481.3764.92
Increase soil0.450.860.4191.11
Agricultural products3.274.851.5848.32
Water conservation0.480.890.4185.42
Indirect valuePurify the atmosphere0.741.280.5472.97
Purify water and soil1.541.680.149.09
Existential valueRegulate the climate3.524.741.2234.66
Tourism value2.933.271.3445.73
Biodiversity0.450. 870.4293.33
Cultural education and entertainment1.151.370.2219.13
Total19.5827.287.739.32%
Table 9. Farmland ecological service value in Chongqing in 2007, 2012, and 2016.
Table 9. Farmland ecological service value in Chongqing in 2007, 2012, and 2016.
Area200720122016Total Change Rate (%)Per Capita Change Rate (%)
Total Amount (1010 Yuan)Per Capita (Yuan)Total Amount (1010 Yuan)Per Capita (Yuan)Total Amount (1010 Yuan)Per Capita (Yuan)
Main city area0.936332.391.17397.281.30426.5138.8928.32
Western Chongqing8.282940.3410.313500.8511.543786.0939.3728.76
Northeastern Chongqing7.352610.099.143103.5710.233356.3039.1828.59
Southeastern Chongqing3.011068.893.751273.344.191374.6739.228.61

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Liu, Y.; Yan, Y.; Li, X. An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services. Sustainability 2020, 12, 8296. https://doi.org/10.3390/su12208296

AMA Style

Liu Y, Yan Y, Li X. An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services. Sustainability. 2020; 12(20):8296. https://doi.org/10.3390/su12208296

Chicago/Turabian Style

Liu, Yubang, Yunan Yan, and Xin Li. 2020. "An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services" Sustainability 12, no. 20: 8296. https://doi.org/10.3390/su12208296

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