2006-11-10Source:
Latest calculation published in China Green National Economic Accounting Study Report 2004 [1]shows that, if all the pollutants released into the environment in 2004 were treated with currently available technologies, the total direct investment would be 1080 billion RMB (in addition to investment already incurred), or 6.8% of the year’s GDP. The “economic loss caused by environmental pollution” is estimated to be at least 3.05% of the GDP in the year. Here, the loss caused by pollution does not include the extra cleaning expenses due to air pollution and the losses caused by groundwater pollution, soil pollution and ecological destruction. Obviously, the environmental price that
The presence of these problems led to the initiation of this project. The objective of this Task Force on Economic Growth and Environment is: in order to achieve the harmonious and sustainable development in China, advise Chinese high-rank decision makers on how to establish an incentive mechanism promoting the harmony between economic growth and the environment, and establish an operational mechanism of economic and environmental forecast and early warning for macro decision-making and regulation.
At the first phase of this project (in 2005), the Task Force fully considered the interaction between economy and environment, hence suggested to establish an indicator framework to measure the performances of local governments. At the second phase (2006), the Task Force developed a 3E (Economy-Energy-Environment) model to forecast the trends of economic growth, energy consumption and environmental pollution during the 11th Five Year. Later, the Task Force will combine performance measurement, green accounting system and 3E model, and regularly develop and publish Report on Evaluation of
Our contribution includes, therefore, a longer-term view of developing the information basis for performance and policy evaluation by:
l Establishing an indicator system for monitoring and measuring the trends and policies of sustainable development, in addition to evaluating government performance;
l Establishing an early warning and forecast platform based on the 3E model; and
l Providing policy recommendations on managing and monitoring harmonious coexistence of economic growth and the environment.
2.1 Changing approaches of economic growth and early warning of environmental risks
High-speed growth and heavy pollution are two major features of
2.2 Evaluating and early warning of environment and economic growth: green accounting
Externality of environmental pollution means that the environment is a typical public goods for which market failure occurs, and governmental intervention is required, just as proven by experiences of the developed countries. This is particularly true for
Green accounting is a new national accounting system of which the resource and environment change is calculated into national economic accounting. Calls for a green GDP reflect the need for an overall assessment of the trade-offs between economic growth and environmental protection. Perhaps more importantly, the underlying production and consumption patterns of households and enterprises need to be assessed as to their respective environmental impacts. To this end, Agenda 21 of the Rio Earth Summit recommended the implementation of a System of integrated Environmental and Economic Accounting (SEEA) by all member States.[2] The SEEA is based on the worldwide-adopted System of National Accounts (SNA). The SNA ensures not only consistency in the concepts, definitions and classifications of its indicators but facilitates international comparability and reporting in a globalizing world.
If green accounting system is applied and Green GDP is used to evaluate the performance of local governments, there will be no such problem as merely pursuing traditional economic growth but neglecting the environment. A joint international workshop of CCICED, the National Bureau of Statistics (NBS), Statistics Canada and international green accounting experts (Beijing, November 2004) explored options for “greening” China’s GDP and national accounts. Green accounting and its environmentally adjusted indicators would be in line with the concept of scientific development that takes into account the effects of environmental degradation and resource depletion. The meeting concluded that green accounting in
As described in a contribution to the 2004 CCICED Workshop the SEEA[3], can assess the environmental sustainability of economic performance and growth in terms of “economic” and “ecological sustainability”: l greened national accounts measure economic sustainability as the maintenance of the value of produced and natural capital, facilitated by reinvesting the cost of capital consumption; and l Physical material flow accounts measure ecological sustainability as the dematerialization of the economy in terms of material inputs, reduced by a specified sustainability factor. |
Monetary indicators such as the environmentally-adjusted net domestic product (EDP), capital formation (ECF), and value added (EVA) measure sustainable economic activity and growth by deducting produced and non-produced natural capital consumption as cost from the conventional indicators. A controversial issue in compiling these indicators is the pricing of environmental impacts, notably of environmental quality degradation. An important application of monetary indicators of green accounting is the measurement of the governmental performance and environmental early warning. Carrying on the green accounting to an area may calculate the environmental losses from economic growth. The analysis of the changes of environment losses, may appraise the effect of the environment policy, and further evaluate the performance of local government, and carry on the early warning to economical growth and environmental situation.
The physical part of the accounting system presents material flows and stocks, notably natural resource inputs (e.g. the total material requirement, TMR, indicator) and pollution ‘outputs’. Contrary to the monetary green accounting indicators, material flows cannot be interpreted as indicators of both, environmental and economic, performance. They measure environmental pressure and refer, therefore, to environmental performance only. They can be linked, however, to economic performance indicators, notably GDP, as ratios of material intensity or resource productivity. Therefore, material flow indicators of green accounting are also important for evaluating economic growth and give early warning of environmental risks.
2.3 Towards a common indicator framework for assessing and early warning of economic growth and environment
Indicators and indicator frameworks for the environment and sustainable development have proliferated. The reasons are different policy agendas driving indicator development, and the necessarily judgemental selection of indicators for formulating and monitoring the agendas. Most indicator frameworks are derived from the popular Pressure-State-Response (PSR) Framework advanced by the OECD, which in turn was based on the United Nations Framework for the Development of Environment Statistics (FDES). For instance, the European Environment Agency uses a Driving Forces-Pressure-State-Impact-Response (DPSIR) Framework. At the global level, the United Nations proposed indicators for sustainable development and Millennium Development Goals for politically negotiated “themes”.
The desire of policy makers to obtain overall ‘nutshell’ assessments of the state of the environment and sustainable development generated various indicators (or indices) of the sustainability of economic performance and development. However, compound indices usually resort to equal weighting of unequal phenomena when averaging ‘representative’ indicators. Ad-hoc compilations of these indices also lack consistency with established statistical concepts and methods. Statistical offices do not therefore compile such indices in most countries.
Figure 1 Accounting framework for economic and environmental indicators
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OPENING STOCKS |
Economic assets (CAPf) |
Environmental assets (CAPn) |
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+ |
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|
DOMESTIC PRODUCTION (industries) |
FINAL CONSUMPTION (households, government) |
CAPITAL FORMATION |
CAPITAL ACCUMULATION |
REST OF THE |
SUPPLY OF RODUCTS |
Output (Oi) |
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|
|
Imports (M) |
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Thereof: environmental protection (EPE) |
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Thereof: (EPE) |
USE OF PRODUCTS |
Intermediate consumption (ICi) |
Final consumption (C) |
Gross capital formation (GCF) |
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Exports(X) |
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Thereof: EPE |
Thereof: EPE |
Thereof: EPE |
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Thereof: EPE |
USE OF FIXED CAPITAL |
Fixed capital consumption (CCi) |
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Fixed capital consumption (-CC) |
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VALUE ADDED, NDP |
VAi, NDP |
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|
USE OF NATURAL |
Environmental cost (ECi) Material inputs (MI), Land use (L), Emissions (E) |
Environmental cost(ECh) MI, L, E |
Natural capital consumption (-EC) Depletion of natural resources (∆CAPn), net additions to stocks (NAS), change in environmental quality (∆EQ) |
Export/import of materials, wastes and residuals (XMI,E, MMi,E) |
|
ENVIRONMENTALLY ADJUSTED INDICATORS |
EVAi = VAi - ECi TMR, DMI, TDO, DO |
Output of residuals by households (DO, TDO) |
ECF = CF - CC – EC Net additions to stocks (NAS) |
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+ |
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Other changes of economic assets (OVCf) |
Other changes of environmental assets (OVCn) |
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= |
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CLOSING STOCKS |
Economic assets (CAPf) |
Environmental assets (CAPn) |
|
Source: Bartelmus (2001), Fig. 3, p. 1728.
Abbreviations: VA = Value Added
NDP = Net Domestic Product
EVA = Environmentally-adjusted net Value Added
EDP = Environmentally-adjusted net Domestic Product,
EC = Environmental Cost
ECF = Environmentally-adjusted Capital Formation
TMR = Total Material Requirement
DMI = Direct Material Input
TDO = Total Domestic Output
DO = Direct (domestic) Output
EPE= Environmental Protection Expenditure
A common framework for all indicators and indices would increase the transparency of indicator selection, definition and compilation. It would also minimize the risk of data manipulation. A recent UN expert group, charged with revising the – largely ignored – indicators for sustainable development of the UN Commission for Sustainable Development, recommended, therefore, the development of a common indicator framework. The experts also identified a capital (accounting) framework as the most appropriate means of combining environmental and economic indicators.[4] Based on these views we recommend using a hybrid accounting framework. Such a framework would not only combine indicators for local and national performance evaluation but would make indicator selection more informed, compatible and transparent(Figure 1)
Figure 1 is in fact the centerpiece of the revised SEEA. It contains most of the economic and environmental indicators. However, it excludes social indicators because of the conceptual and measurement problems of “social” and “human capital”. The shaded areas present environmental and environmentally adjusted indicators. Land uses and material inputs are also shaded as they represent pressures on environmental carrying capacities.
Physical indicators, notably from material flow accounts (MFA) are shown italics. To some extent they underlie the monetary indicators of the SEEA. The table thus displays the connections between the physical data base and monetary valuation. Material ‘outputs’ of the MFA are the emissions (E), which are costed in the SEEA. Their accumulation as ambient concentrations in environmental media of land, air and water affects environmental quality (EQ) and generates the environmental damage borne by humans and ecosystems. Among others, damage information enters human welfare indices such as the GPI (not shown in the table). Physical resource stocks are the counterparts of monetary wealth indicators (CAP); monitoring the use of these stocks in different units of measurement facilitates their management and conservation but is less useful for overall environmental and economic policies.
The accounting framework of Table 1 should be helpful in combining and harmonizing the various indicator listings, index compilations and accounting approaches, including material flow accounts, energy balances, input-output tables, and greened national (satellite) accounts, currently developed in
A further advantage of an integrated accounting framework for data development is its possible link to corporate accounting. More and more, corporations, motivated by ‘corporate social responsibility’, have taken up environmental accounting. Corporate accounting faces similar challenges and opportunities as national environmental accounting. Developing the so-called ‘micro-macro link’ between the two accounting efforts would facilitate, in particular,
At the international level, the International Organizations for Standardization (ISO series 14000) and the European Union (EMAS: Environmental Management and Audit Scheme) have developed corporate environmental management guidelines and indicator systems.
2.4 Green accounting and modeling
All the green accounting of national economy and indicators which has time series feature may be used to implement early warning on economical growth and environment. However, the green accounting and indicators are more applied in post evaluation and analysis, but weak in forecasting. Therefore, our task force developed a 3E model, which aims to forecast economic and environmental trends and simulates different policy scenarios.
The 3E model, based on input--output table, forecasts economic growth, change in sectoral structure, energy consumption, pollutant emission, and pollution disposal. According to the comparison of forecast results with proposed goals, regulative economic and environmental policies guaranteeing sustainable development are recommended.
Figure 2 describes in a simplified manner the direct connections between the 3E model and our accounting framework. The figure shows the different model components (in bold) as data modules of the framework. The arrows correspond to the different functional relationships of the 3E model.
Figure 2 Accounting framework and 3E model
Population forecast
Economy |
Environment |
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DOMESTIC PRODUCTION (industries) 1,2...n |
FINAL CONSUMPTION |
CAPITAL FORMATION |
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Industrial output (volume of production) (Oi) |
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Emissions (E): Water contaminant Air pollutant |
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Gross capital formation (GCF) Thereof: Pollution treatment |
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Intermediate consumption (ICi) Thereof: Pollution treatment |
Volume of consumption (C) |
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Material inputs (MI): Water consumption |
Fixed capital consumption (CCi) |
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Fixed capital consumption (-CC) |
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Industrial value added (VAi) |
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Accounting and modelling are different, as accounting module is a descriptive data system, while model converts statistical variables into model parameters for forecast and other analysis. Technical (input-output and pollution emission) parameters indicate data relationship currently observed, and are used for input and output analysis and forecast.
Part III
Indicators and indices for evaluating and early warning the sustainable development and the progress of harmonious xiao kang society in
In order to evaluate and early warn the course of the sustainable development and the performance of local government in the construction of the harmonious “xiao kang” society,the Task Force developed an evaluating and early warning indicator system.
3.1 Indicators and early warning of harmonious “xiao kang” society
A harmonious xiao kang society dose not only means simply increasing the average GDP per capita;, but the overall standard of living for all Chinese must be all-inclusive and farily distributed across China alleviating the current disparities between rural and urban households and between coastal and inland households. Harmonious Xiao kang society does not only denote material comforts but harmonious development in all aspects, which includes issues of urbanization, promotion of education and reshaping the social strata. In other words, a xiao kang society is focused on the improved and sustained economic, social and environmental well-being of all citizens. So we combined Xiao kang with “harmonious” and call it as harmonious Xiao kang society. In the stage from 2006 to 2020, the harmonious Xiao kang society and sustainable development overlap each other in conception and connotation. Therefore, the target and indicators of harmonious society can be used to evaluate and early warn the local government performance and as well as the sustainable development.
The indicator selection is very important for evaluating、forecasting and early warning on the local performance of sustainable development with the indicator system. Each indicator should describe a certain features of sustainable development, moreover may obtain the corresponding data. Some of the key methodological issues that need to be kept in mind when considering the development of a system of indicators and indices along these lines are the following:
A. choice of a conceptual framework and the main categories of indicators;
B. choice of component indicators;
C. choice of policy targets related to each indicator;
D. methodology to establish a normalized (dimensionless) performance score for every indicator;
E. the weighting scheme for the indicator;
F. display for visually presenting the score of indicators and the index
[P1]3.2 The principles to evaluate and early warn the course of harmonious “xiao kang” society
According to international experiences, we proposed the principles of developing indicator system which can track, analyze and forecast the construction course of harmonious “xiao kang” society.
A. Establish a sustainability evaluating system or framework of which consisted with a suite of matching indicators of suitable sustainability performance. The framework and indicators would be constructed, prudently and incrementally, over time at both the national and regional/provincial levels.
B. Establish a clear set of sustainability and harmonious development value statements, sustainability criteria and measurable goal statements as a first step in developing and implementing sustainability indicators. The statements and criteria should be commonly accepted throughout
[P2]C. Consider establishing sustainability standards, which are directly related to the sustainability values and criteria, and the total capital or genuine wealth condition analysis at the provincial or regional scale. Healthy competition amongst provinces and the sharing and benchmarking of best-practices, using indexed indicators, could be encouraged. Benchmarking sustainability performance, using aggregate sustainability indices across communities and provinces is possible and desirable for evaluating and early warning to the local government performance.
D. The indicator system not only has the evaluating function, but also has the function to guide the decision-making of local government, and in favor of establishing corresponding feedback mechanism to the policies. When a local government’s performance of sustainable development and result of evaluating to the construction of the harmonious “xiao kang” society are far away from the benchmark, there is need to send out the explicit early warning report to those governments.
3.3 Indicator system for the evaluating and early warning of
Measuring progress toward desired targets of sustainable development and harmonious society construction in different regions helps to set policy priorities for local governments, and to perfect the monitoring system for centre government. (The indicators we chose were shown in
Moving from the current performance measurement system dominated by economy towards one including sustainability criteria and objectives will entail a multi-year, multi-level effort.
During the process of the computation to the actual data,it usually adopts the average value of three years in history as the base number of the assessing year. The number changes along with time lapse,and guarantees the base number in each year changes based on the year-shift. This method may avoid the influence from the abnormity of some year (it happens in
The API in each city by year obtained by this method is provided with the feature of time series. The time series of API reflects the change tendency of the comprehensive sustainable development of the evaluated cities,and also may be used to carry out early warning to the sustainability of cities. Though the comparison of the change rate of API among different cities,it can distinctly warn the sustainability differences of them.
The change and the comparative analysis of sustainable development API among different cities can provides useful basic information for the performance of different cities to central government。
The data in table 1 shows:the API of three cities were dropping comparing one of the 4 cities got a little rising. In the macroscopic early warning significance,during 2001-2003,the sum of the API of four cities dropped from 492.47 to 442.04,and dropped 17 points averagely each year. It shows that the overall sustainability of 4 cities is dropping. If the samples are more enough, it is viable to judge the whole change of the sustainability of the country.
In the significance of evaluating sustainable development performance to each city,the API of city A is the highest and the performance is the best;City B is next; and City C is the third; and city D is the worst.
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But in early warning significance,the sustainability of city A and B is dropping in a large scale. In particular city B,its API was highest among the 4 cities in the basic year,but the dropping rate was the biggest. The API of city D is dropping slowly under the situation of lower-level performance. Only the API of city C went up steadily with lower base (see figure 3)
Though the method above was based on the evaluation on the performance of sustainable development,by adding more indicators or adjust the weight of the indicators reasonably,it could be suitable to carry out evaluation and implement early morning to the progress of harmonious“xiao kang” society.
Table 1: the sustainability API of four pilot cities
Year |
|
2001 |
2002 |
2003 |
2004 |
Point of API Change per year |
City B |
Total score |
109.50 |
114.69 |
90.30 |
|
-9.71 |
City A |
Total score |
189.38 |
187.38 |
147.93 |
155.82 |
-8.39 |
City D |
Total score |
98.60 |
98.61 |
97.63 |
|
-0.33 |
City C |
Total score |
94.99 |
96.25 |
106.18 |
107.77 |
+5.52 |
Total |
|
492.47 |
496.93 |
442.04 |
|
-17 |
Figure 3 the API of sustainable development in four pilot cities
Part IV 3E Modelling for forecast and Early Warning
4.1 Structure and mechanism of 3E model [6]
The Task Force has developed a 3E (Economy-Energy-Environment) model that could forecast and provide early warning for China’s economic growth, energy consumption and environmental pollution, It is a quantitative analysis platform, which combines econometric technique, input-output analysis and extended linear expenditure system..
The 3E model consists of three sub-models: economy, energy and environment.
The economy sub-model consists of the following modules: income, consumption, investment, import and export, employment, final demand formation and total output, which mainly forecasts industrial outputs, value-added by sectors, product sales volume, population ,urbanization level and so on.
Based on the forecast results from the economy sub-model and the estimated energy consumption coefficient, the energy sub-model mainly forecasts volume and structure of energy consumption in each sector. Besides, volume and structural change of resident energy consumption are forecasted.
Also based on the results from the economy sub-model, the environment sub-model mainly forecasts generated volumes of wastewater, water pollutant, air pollution and solid waste. Volumes of reduction and discharge of these wastes are also forecasted. In order to control these wastes, investment should bring into operation which is just the feedback variable into the economy part. Based on this sub-model, we can also simulate the impacts of pollution control investment on economic development. The structure of the 3E mode is as following (see figure 3).[7]
Figure 3 Structure of 3E Model
4.2 Qualitative analysis of macro economic trend during the 11th Five Year
Since the reform and opening up,
Box 3 GDP growth rates planned by provinces/cities and weighted national rate
Box 3 GDP growth rates planned by provinces/cities and weighted national rate |
|||||||
Province/city |
Planned GDP growth rates between 2006 and 2010 (%) |
Weight in national economy in 2005 (%) |
Contribution to national economy |
Province/ City |
Planned GDP growth rates between 2006 and 2010 (%) |
Weight in national economy in 2005(%) |
Contribution to national economy |
|
9% |
3.47% |
0.31 |
|
9% |
11.04% |
0.99 |
|
12% |
1.86% |
0.22 |
Guangxi |
10% |
2.07% |
0.21 |
|
11% |
5.15% |
0.57 |
|
9% |
0.45% |
0.04 |
|
10% |
2.10% |
0.21 |
|
10% |
1.56% |
0.16 |
|
13% |
1.94% |
0.25 |
|
9% |
3.76% |
0.34 |
|
11% |
4.07% |
0.45 |
|
10% |
0.99% |
0.10 |
|
9% |
1.84% |
0.17 |
|
9% |
1.77% |
0.16 |
|
10% |
2.80% |
0.28 |
|
12% |
0.13% |
0.02 |
|
9% |
4.65% |
0.42 |
Shannxi |
11% |
1.87% |
0.21 |
|
10% |
9.30% |
0.93 |
|
10% |
0.98% |
0.1 |
|
9% |
6.80% |
0.61 |
|
10% |
0.28% |
0.03 |
|
10% |
2.73% |
0.27 |
Ningxia |
10% |
0.30% |
0.03 |
|
10.90% |
3.34% |
0.36 |
Xinjiang |
9% |
1.34% |
0.12 |
|
11% |
2.06% |
0.23 |
|
10% |
3.30% |
0.33 |
|
10% |
9.40% |
0.94 |
|
10% |
3.29% |
0.33 |
|
11% |
5.36% |
0.59 |
|
|
|
|
National GDP (calculation based on regions’ GDPs planned and weights of the GDPs in national economy in 2005) |
9.96% |
4.3 Environmental and economic pressures faced in 11th Five Year- based on 3E model simulations
During the 11th Five Year,
In higher-speed scenario: It is assumed that, during the 11th Five Year, China will follow the scientific view of development, and fully implement the national strategy of creating an innovative country, independent innovation will have important breakthroughs, urbanization will progress smoothly, approaches of economic growth will have major improvements, international trade will continue to grow at high speed, and many problems in current economic development will be successfully solved. Based on these assumptions, total factor productivity will continue to increase stably and rapidly, reach 3%, much higher than the average level in past 20 years (2.6%) .
In medium-speed scenario: It is assumed that, although
In lower-speed scenario: It is assumed that,
The forecast results of main indicators in three different scenarios is as following (see table 2),
Table 2 Forecasts of economic indicators in three different scenarios (growth rate, %)
Indicator |
Higher-speed scenario |
Medium-speed scenario |
Lower-speed scenario |
GDP |
10.1 |
9.62 |
9.1 |
Consumption |
8.33 |
8.24 |
7.6 |
Capital formation |
13.7 |
12.8 |
12.6 |
Export |
16.2 |
14.8 |
12.7 |
Import |
14.2 |
13.5 |
10.6 |
Urbanization ratio |
47.4 |
46.9 |
46.5 |
In each scenario, it is invariably predicted that, during the 11th Five Year,
Table 3 Growth speed forecast of total output in major sectors during 11th Five Year[8]
|
Sectors |
Lower-speed scenario |
Medium-speed scenario |
Higher-speed scenario |
1 |
Cropping |
4.79 |
6.09 |
6.23 |
2 |
Animal farming |
4.46 |
5.71 |
5.69 |
3 |
Other agricultural activities |
7.40 |
8.38 |
8.87 |
4 |
Coal mining and dressing |
8.58 |
9.49 |
10.13 |
5 |
Oil and natural gas mining |
9.08 |
10.15 |
11.18 |
6 |
Ferrous metal mining and dressing |
9.88 |
10.53 |
11.49 |
7 |
Non-ferrous mining and dressing |
9.68 |
10.45 |
11.42 |
8 |
Non-metal mining and dressing |
9.06 |
9.87 |
10.93 |
9 |
Food, cigarette and soft drink |
6.52 |
7.63 |
7.62 |
10 |
Textile |
5.97 |
7.30 |
7.43 |
11 |
Garment, leather, feather and fibre manufacturing |
4.13 |
5.51 |
5.41 |
12 |
Wood processing and furniture manufacturing |
8.68 |
9.62 |
10.46 |
13 |
Paper manufacturing and products |
9.43 |
10.29 |
10.79 |
14 |
Printing, record media reproduction, other manufacturing for education and culture |
9.64 |
10.53 |
10.93 |
15 |
Oil processing and coking |
9.07 |
9.97 |
10.79 |
16 |
Raw chemical material, chemical product manufacturing, other chemical products |
8.57 |
9.58 |
10.30 |
17 |
Pharmaceuticals |
9.57 |
10.41 |
10.59 |
18 |
Chemical fibre manufacturing |
7.47 |
8.55 |
9.04 |
19 |
Rubber manufacturing |
9.04 |
9.98 |
10.75 |
20 |
Plastic manufacturing |
9.02 |
9.93 |
10.70 |
21 |
Cement manufacturing |
8.99 |
9.73 |
10.71 |
22 |
Other non-metal minerals manufacturing |
9.12 |
9.90 |
10.90 |
23 |
Ferrous metal melting and rolling |
9.60 |
10.31 |
11.31 |
24 |
Non-ferrous metal melting and rolling |
9.87 |
10.60 |
11.56 |
25 |
Metal products |
9.05 |
9.90 |
10.83 |
26 |
Environmental protection equipments manufacturing |
9.43 |
10.27 |
11.30 |
27 |
Other mechanical, electrical and electronic equipments manufacturing |
9.89 |
10.64 |
11.59 |
28 |
Mechanical equipments repair |
0.00 |
0.00 |
0.00 |
29 |
Other industries |
9.89 |
10.65 |
11.39 |
30 |
Electricity, steam and hot water generation and supply |
8.48 |
9.38 |
9.96 |
31 |
Coal gas production and supply |
6.81 |
7.87 |
8.13 |
32 |
Tap water production and supply |
7.66 |
8.61 |
8.96 |
33 |
Construction |
9.34 |
10.03 |
11.29 |
34 |
Cargo transportation and storage |
8.84 |
9.72 |
10.36 |
35 |
Passenger transportation |
8.85 |
9.73 |
10.35 |
36 |
Commercial food service |
9.89 |
10.64 |
11.17 |
37 |
Public environmental service |
13.05 |
13.61 |
13.77 |
38 |
Other services |
11.14 |
11.84 |
12.13 |
4.4 Energy demand forecast during the 11th Five Year in
Economic growth has been steadily increasing in recent years. At the same time, consumption of resource and energy has been growing dramatically, even surpassing the speed of economic growth. Between 2001 and 2005,China’s GDP increased by 9.54% per year, while energy consumption grew by 10.50% per year. Energy elasticity coefficient reached 1.1,meaning that this period had witnessed the highest elasticity coefficient of energy since the opening and reformation of China. Energy consumption per unit output is much higher than in the developed countries and the average of the world. In future, energy demand in
Future energy demand will be a great challenge to the ability of energy supply in
Table 4 Energy consumption forecast in medium-speed scenario during the 11th Five Year
Type of energy source |
2005 |
2010 |
Total energy consumption (10,000 tons of standard coal) |
223319 |
290444 |
Coal consumption (10,000 tons of coal) |
216558 |
268365 |
Raw oil consumption (10,000 tons) |
32535 |
44640 |
Electricity consumption (100 MW.H) |
24940 |
41655 |
4.5 Forecast of environmental pressures in
At present, the pressure of environmental protection is bigger than pressure of energy supply in
Wastewater forecast was based on the volumes of production and domestic wastewater, as well as the volume of aquatic pollutants (See Table 5 for the results).
For cropping sector with rapid increase of irrigated farmland, wastewater and pollutants generated will show rising tendency.
For animal farming industry sector with increasing output and higher proportion of large scale farming, wastewater and pollutants produced will be rising situation year by year.
In industrial sectors, the volume of wastewater produced is mainly related to value added and the coefficient of wastewater generation. In the medium-speed scenario, the model forecasts that the volume of industrial wastewater will reach 75 billion tons by 2010, or 2.69 times of the figure in 2003 (2.786 million tons). The volume of COD in wastewater generated will reach 37.37 million tons, or 2.4 times of the quantity in 2003 (15.58 million tons). The volume of NH3-N generated will reach 1.82 million tons, or 2.5 times of the quantity in 2003 (724,000 tons).
With regard to industrial structure, chemistry, paper production, electricity, and iron and steel will be the top four sectors with most wastewater generated, accounting for 32.8% of the total volume of industrial wastewater in 2010.
Table 5[10] Forecast of volumes of wastewater and pollutants generated
Year |
Volume of wastewater generated(100 million tons) |
Volumes of pollutants generated (10,000 tons) |
||
COD |
NH3-N |
|||
Cropping |
2003 |
1178.19 |
333.98 |
66.80 |
2010 |
1308.08 |
402.28 |
80.46 |
|
Animal farming |
2004 |
31.9 |
1417.8 |
141.98 |
2010 |
50.1 |
2509.7 |
249.90 |
|
Industry |
2003 |
278.6 |
1558.38 |
72.39 |
2010 |
750.1 |
3737 |
182 |
|
Urban domestic |
2003 |
247 |
1111 |
104 |
2010 |
409 |
1764 |
165 |
|
Rural domestic |
2003 |
41 |
5827 |
208 |
2010 |
62 |
5990 |
194 |
|
In total |
2010 |
2579.28 |
14402.98 |
871.36 |
The top four sectors generating most volumes of COD will be paper making, food processing, chemical industry, and textile industry, accounting for 48.1% of the total volume of the whole industry.
Along with the increase of water consumption in urban and rural areas; urban and rural wastewater generated will increase correspondingly. Rapid growth of urban population and slight increase of the pollutant generation coefficient will cause the fast increase in the volume of pollutant generated. Without effective treatment, damage caused by urban wastewater pollution will be unimaginable.
Economic trend, energy consumption forecast, and analysis of fuel quality suggest that, by 2010, the volume of SO2 generated will amount to 45.85 million tons (see Table 6), among which the volume of industrial SO2 generation will reach 43.65 million tons. Research shows that, for compliance with standards of urban environmental quality and realization of targets of acid rain control, the volume of SO2 emission must be limited to 16 million tons. During "11th-five-year- plan", SO2 emission needs to be reduced by 10% compared to the year 2005 to 22.95 million tons. To this end, volume of SO2 reduction shall reach 20.70 million tons, a heavy task indeed.
Table 6 Forecast of SO2 generation unit:10,000 tons
Industrial |
|
2010 |
Energy combustion |
3398 |
|
Production process |
967 |
|
Subtotal |
4365 |
|
Domestic and other |
Other sectors |
121 |
domestic |
99 |
|
Subtotal |
220 |
|
Total |
|
4585 |
Soot generation is consistent with the trend of coal consumption growth. By 2010, total volume of soot produced will reach 247.04 million tons, mainly by power industry. By 2010, volume of soot produced by power industry will be 215.67 million tons, accounting for 87.3% of the total. Therefore, soot control in power industry is very important. Similarly, volume of dust produced will be in the upward trend. By 2010, volume of dust generated will reach 108.41 million tons. With regard to sectors, cement industry, ferrous and non-ferrous metal melting will grow quickly, generating more dust.
Overall forecast of 3E model reveals that, China’s fixed capital investment will remain high growth speed during the 11th Five Year; resource-intensive industries will still grow quickly; therefore, production of solid waste will be remain at the peak level to reach 1169.96 million tons in 2010, increasing by 30.1% compared to the year 2003. See Table 7 for forecast results.
Along with accelerated urbanization, improved living standard and wide consumption of household appliance, urban and rural domestic waste will also accelerate.
Volume of urban domestic waste generated equals to number of population multiplied by per capita urban domestic waste generated. It is forecasted that, per capita domestic waste generated by urban citizens on average will reach
Table 7: Forecast of industrial solid waste generated in
Category |
2004 |
2010 |
Total volume of coal gangue (ten thousand ton) |
12921 |
19800 |
Total volume of coal dust generated (ten thousand ton) |
17481 |
22967 |
Total volume of slag(ten thousand ton) |
10509 |
11634 |
Total volume of slag from melting(ten thousand ton) |
12298 |
15113 |
Total volume of tailing (ten thousand ton) |
25583 |
32753 |
Total volume of dangerous waste (ten thousand ton) |
1171 |
1274 |
Total volume of industrial solid waste(ten thousand ton) |
89932 |
116996 |
Total volume of general solid waste in industry(ten thousand ton) |
88731 |
115722 |
Total volume of dangerous solid waste (ten thousand ton) |
1171 |
1274 |
4.6 Comprehensive analysis of economic growth and environment early warning during the "11th-five-year- plan"
As previously described,
l Growth rate of GDP will reach 9.6 percent, 2 percent higher than proposed.
During the "11th-five-year- plan", the persistent and fast growth of
l Energy consumption will increase on a large scale; as a result, it’s very hard to realize the goal to reduce energy consumption per unit of GDP by 20%.
According to the forecast of medium-speed scenario, the energy consumption in “11th –five-year-plan” will increase by 5.4% each year. The elasticity coefficient of energy consumption will be 0.56, nearly halved in comparison with
l Environmental pressure is increasing, and there are few chances to realize the target of reducing the total volume of major pollutants by 10%.
Table 8 Environmental and economic pressures facing
Main pollutants |
Volume in 2010 (100,000 tons) |
Proposed control goals in“11th five years plan ” |
Volume of emission in 2010 (100,000 tons) |
The volume of treatment in 2010 (100,000 tons) |
Investment of treatment(investment and running cost) /hundred million RMB |
Waste(COD) |
3737 |
Volume of emission reduces 10% comparing to the end of 2005 |
1273 |
2464 |
5542 |
Waste air (SO2) |
4585 |
The volume of emission reduces 10% comparing to the end of 2005 |
2294 |
2291 |
6409 |
Industrial solid waste |
116996 |
Integrative recycling rate of solid waste is over 60% |
--- |
---- |
1965 |
Table 8 shows that
l Downward trend of Annual Progress Index of Urban Sustainability
Analysis about the Annual Progress Index of Urban Sustainability in pilot cities show that, although the economic growth rates in cities have been fast, the value of the index has been falling. Between 2001 and 2003, the index values in four pilot cities had been dropped from 492.47 to 442.04, by 17 points annually. This indicates that the overall sustainability of these four cities is in the downward trend; though at low decreasing speed, this trend is still alarming.
Box 4:Early warning of urban- rural gap
|
|
|
|||||
|
Province |
Average growth rate |
GDP of each province in 2005 |
The weight of GDP in the region |
The growth rate’s proportion of GDP in region’s growth rate(%) |
Ten province /cities of the east region |
|
11.90% |
6814 |
5.87% |
0.67 |
|
12% |
3663 |
3.16% |
0.38 |
|
|
11% |
10116 |
8.71% |
0.96 |
|
|
11% |
8005 |
6.89% |
0.76 |
|
|
11.50% |
9144 |
7.88% |
0.91 |
|
|
13.1% |
18272 |
15.74% |
2.06 |
|
|
9% |
13365 |
11.51% |
1.04 |
|
|
10.60% |
6560 |
5.65% |
0.60 |
|
|
10% |
18468 |
15.91% |
1.59 |
|
|
13% |
21701 |
18.69% |
2.43 |
|
|
Sum for east |
|
116110.8 |
100% |
11.40% |
Twelve provinces of the west region |
|
16% |
3822 |
11.45% |
1.83 |
Guangxi |
11% |
4063 |
12.16% |
1.29 |
|
|
9% |
3069 |
9.19% |
0.86 |
|
|
11% |
7385 |
22.12% |
2.48 |
|
|
10% |
1942 |
5.82% |
1.06 |
|
|
9% |
3472 |
10.39% |
0.92 |
|
|
12% |
250 |
0.75% |
0.09 |
|
|
12% |
3674 |
11.01% |
1.27 |
|
|
10% |
1928 |
5.77% |
0.59 |
|
|
10% |
543 |
1.63% |
0.16 |
|
Ningxia |
9% |
599 |
1.81% |
0.16 |
|
Xinjiang |
10% |
2639 |
7.91% |
0.80 |
|
Sum for west |
|
33390.3 |
100.01% |
11.49% |
|
Note:Above data is from the “11th –five-year-outline” of different provinces. Locally proposed GDPs are all higher than the data from National Statistics Bureau (NBS). This table uses the proportion of local province data in local GDP to represent the total proportion of 2001-2005, and uses the proportion as the weight to weigh the growth rates of east and west in 2001-2005 on average, and then obtain the total local growth rate in east and west separately. |
All the study results, including those of the case studies about the measurement of governmental performance / sustainable development using indicator systems, and the early alarming / forecast about macro-economic growth and the environment by the proposed 3E model, reveal that the sustainability of
5.1. During the 11th Five Year, the economic growth rate in
To reach the above goal, it is advised that:
Firstly, regard environmental investment as one of the major goals of macro-economic regulation, and define year-specific objectives. It is advised to establish an economy and environment forecast and early alarming platform, on which annual environmental protection and regulation goals are set up.
Secondly, Further clarify environmental responsibilities of governments at different levels. Increase the weight of environmental performance in measurement of local government performance and strictly implement the measurement to encourage local governments to increase investment in environmental protection.
Thirdly, in conjunction with the policy of total quantity control, accelerate the implementation of emission trade policy so that environmental capacity becomes an important source of environmental protection investment.
Fourthly, set up a regulation on environmental guarantee deposit. Environmental guarantee deposit should be collected from all new construction projects in line with sectoral pollution discharge standards. Deposit shall be returned after the running of the project with discharge in compliance with relevant standards.
Fifthly, more strictly implement the policy of pollution discharge fee. This is to encourage existing enterprises and regions to develop circular economy, to increase investment in waste recycling and reuse, to increase investment in pollution control, to reduce waste discharge and secondary pollution.
5.2. Establish a mechanism for collecting genuine environmental information. In order to guarantee accurate environmental accounting, scientific and operational environmental management policies and objective and fair measurement for local governmental performance, the Central Government should establish an independent environmental data processing system. It is advised:
Firstly, based on existing environmental monitoring system, the Central Government should establish an improved national water pollution, air quality and solid waste monitoring system.
Secondly, fully promote legal enforcement and supervision capacity of environmental protection, and establish an environmental supervision system. In all medium and big-sized cities, strengthen environmental protection and resource management, and expand functions and responsibilities of governmental departments in charge of environmental protection and resource management. Learning from German experiences, establish a public servant regime for environmental supervision. In large state-owned or high-pollution enterprises, environmental supervisors should be appointed and administered directly by state environmental protection authorities. Further, a well-trained and competent public servant should be appointed to every 50 enterprises or public institutions for supervising their environmental activities, resource efficiency and information accuracy. Overall benefits of this system for environmental protection and resource saving will far exceed the cost, and employment will be increased, too.
Thirdly, while continuing the pilot projects on Green GDP accounting, establish a material flow accounting and statistic system to provide scientific and accurate information for nationwide environmental and resource management.
Fourthly, establish and improve the mechanism of environmental and resource information disclosure. Regularly publish quarterly environmental and resource newsletters.
5.3. Shift the emphasis of circular economy from resource saving to environmental protection, and accelerate its development.
Firstly, speed up the promulgation of basic and special laws on circular economy, promote recycling and reuse of resources and wastes, reduce the generation of waste from sources, and minimize the pressures on end-of-pipe waste control.
Secondly, strengthen the enforcement of Energy Saving Law and Renewable Energy Law. Accelerate the development and utilization of biomass energy sources, especially the generation of biogas, petroleum, and electricity using organic and other wastes.
5.4. Improve environmental management system, and clarify authorities and responsibilities of both central and local governments. It is advised:
Firstly, based on the present inter-ministerial regime of the National Environmental Protection Joint Meeting, establish a State Environment and Resource Committee (SERC) to coordinate works of SEPA, MLR, MWR, SFA, and energy authorities.
Secondly, establish a hierarchical system of environmental management, and clarify authorities and responsibilities of both central and local governments for environmental protection. Macro environmental management should be the responsibility of the central government, while local environmental affairs should be the responsibility of the local governments. This institutional arrangement will allow the central government to effectively supervise local governments, to expand local governments’ environmental responsibilities.
It is proposed that the title “State Environmental Protection Administration” be changed to the “Ministry of Environment” so that the authorities of the national environmental protection are enhanced. As an integrated department in charge of environmental protection affiliated to the central government, its major authorities include: formulating national policies of environmental management; controlling and managing environment and resource at the aggregated level; environmental management across catchments and regions; collection, processing and disclosure of the state’s environmental information; assessment, monitoring and early warning of local environmental management; and supervision of environmental management in large state-owned enterprises.
At the same time, the local governments should follow the central government’s regulation on aggregated quantity control, be in charge of environmental management, and hold responsibility for environmental quality and environmental accidents in their administrative areas.
5.5 Reform pricing mechanism so that prices can fully reflect the social values of environment and resources, and circular economy can have comparative advantages. It is advised:
Firstly, set pollution discharge fee at higher rates for wastes such as sulphur dioxide, sewage, industrial and other soot, and solid waste. Rate increase shall allow waste recycling and reuse enterprises to make reasonable profit in the aim of competitive circular economy.
Secondly, increase primary resource price in two ways: dramatically increase resource tax rates; and improve payment of and working conditions for labours from rural areas. With the leverage function of the pricing system, encourage enterprises to efficiently use resources and recycle wastes. Prediction results from the task force advise an increase of resource tax rate to 20% of output of resources, such as coal, oil and natural gas. Tax rates for other resources shall be increased according to scientific assessment.
Thirdly, distribute “environmental bonus” reasonably. While corporate social responsibilities and environmental costs are increased, environmental bonus should also be shared. This helps people balance economic growth and environmental protection. It is advised to adopt tax compensation policies, which is to rebate one percent of tax to those enterprises in compliance with environmental standards.
[1] SEPA and NBS,
[2] The United Nations (1994). Earth Summit, Agenda 21,
[3] P. Bartelmus, “Green National Accounting: Measuring sustainable economic growth”. For a historical and methodological overview see Bartelmus and Seifert (eds), Green Accounting,
[5] Pintér, L. Performance Measurement and Sustainable Development Reporting in the Urban Environment. Presented at the Seminar on Environmental and Economic Policies Towards Sustainable Cities in APEC,
[6] See Appendix 1 for model function and forecast theories.
[7] Data used for prediction by the 3E model is partly offered by NBS publication, and partly from corporate survey. See appendix 2 for detailed description of the surveys and analysis.
[8] Different from traditional sectoral breakdown, our classification makes slight changes to standard classification of sectors with the emphasis on high-pollution enterprises.
[9] Zhou Dadi clearly stated that current rapid growth of energy consumption is unlikely to sustain. He predicted that, if the tendency of energy consumption elasticity continues during the 11th Five Year, the energy consumption in 2010 will reach 3 billion tons of standard coal, and the whole situation will be intensive.
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