Next Article in Journal
Development of the WHO Environmental Noise Guidelines for the European Region: An Introduction
Next Article in Special Issue
Will Happiness Improve the Psychological Integration of Migrant Workers?
Previous Article in Journal
Prevalence of General and Central Obesity and Associated Factors among North Korean Refugees in South Korea by Duration after Defection from North Korea: A Cross-Sectional Study
Previous Article in Special Issue
Carbon Emission Reduction with Capital Constraint under Greening Financing and Cost Sharing Contract
Article Menu
Issue 4 (April) cover image

Export Article

Int. J. Environ. Res. Public Health 2018, 15(4), 812;

An Empirical Study of the Impact of the Air Transportation Industry Energy Conservation and Emission Reduction Projects on the Local Economy in China
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Research Center for Environment and Sustainable Development of China Civil Aviation, Civil Aviation University of China, Tianjin 300300, China
Wuxi Audit Division, Bank of Ningbo, Wuxi 214043, China
College of Tourism and Service Management, Nankai University, Tianjin 300071, China
Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong 528400, China
Authors to whom correspondence should be addressed.
Received: 27 March 2018 / Accepted: 14 April 2018 / Published: 19 April 2018


Green development has been of particular interest to a range of industries worldwide, one of which being the air transportation industry (ATI). The energy conservation and emission reduction (ECER) projects of the ATI have a huge impact on the local economy. In this study, the input-output method was used to analyze the indirect economic impact of the implementation of the ECER projects of the ATI on the local economy of the Beijing-Tianjin-Hebei (BTH) region. We examined the direct benefits, backward spread effects, forward spread effects, and consumption multiplier effects. The final results showed that the comprehensive economic income from 2011–2013 in the BTH region reached RMB 4.74 billion. The results revealed that the ECER projects commissioned by the ATI were worth investing from both the economic and social benefits perspectives. To increase the green development effects and promote the sustainable development of the ATI, the special funds provided by the Civil Aviation Administration of China should be invested intensively in basic green technology research and setting green regulating and governance rules.
energy conservation and emission reduction; benefits; air transport; input-output method; green environment; green operation; sustainable development

1. Introduction

A low carbon economy has been evolving to become an emerging and important competitive method worldwide. The International Civil Aviation Organization (ICAO) and European Union (EU), as well as other international or regional organizations have proposed much higher targets for Energy Conservation and Emission Reduction (ECER) in air transport. In these circumstances, green and low carbon development has already been a necessary consequence, and one of the most important developing approaches in the Chinese air transportation industry (ATI). Furthermore, the Civil Aviation Administration of China (CAAC) has also proposed an average goal of an annual 4% reduction of fuel consumption and carbon dioxide release per ton-kilometer during the Chinese 13th Five-Year Term, when compared with the 12th Five-Year Term [1]. In order to fulfill these objectives, the application of innovative technologies and renewable energies as well as instrument upgrades and innovative administration policies are the inevitable means. However, global experiences have proved that the costs of implementing these measures are extremely high, not only in the ATI. Therefore, such costs and expenses of emission control have obviously been given serious attention by researchers and practitioners.
With the Global 2100 framework (which was used to assess the overall economic impact of energy costs increase), Manne and Richels evaluated the influence of price of premium crude oil on conventionally measured GDP [2]. They found that China was most strongly affected by the higher energy costs regulated in the international carbon reduction agreements. In order to undertake more precise calculations with the Computable General Equilibrium model in the future, this research also carried out some useful attempts including the future variation trends of oil price. Based on their findings, Manne and Richels proposed the implementation of a carbon tax to reduce the consumption of carbon-intensive fuel. To assess the control costs that the governments and society should pay to prevent climate change, Maddison constructed a dynamic non-linear program with the objective of minimizing the control costs [3]. Emissions reductions and sink enhancement were the two key control variables in the model, and Maddison put forward several proposals to hold back climate change based on these findings, for example, afforestation, decreasing emissions, imposing carbon tax, and removing fossil fuel producer allowances. Fan et al. also used the objective programming approach to estimate the costs of CO2 emission control in China and indicated that the costs included the investment in emission reduction and also the losses due to limiting the development of high-emission sectors [4]. Similarly, several other researchers have assessed the cost of reducing CO2 emissions in other regions by the same means, for example, the study of Hsu and Chou in Taiwan [5]. The cost model is another commonly used technique to appraise the expense of emission control. With the help of a production cost model based on the large panel data of four high-consuming energy industries, Morgenstern et al. compared the expenditure for the environmental protection of plants between the reported expense and the actual burden [6]. However, they could not find consistent results as to whether the reported expenses of the individual plants were overstated or understated in terms of the actual costs. Such a finding was just another indication of the requirement to assess the emission control cost/income more precisely. Comparing the whole economic costs of renewable sources of electricity energy with that of coal-fired power plants, Crane et al. found that the marginal cost of renewables grew rapidly after Greenhouse Gas emissions were reduced by renewables by up to 100 million metric tons and the total annual cost of 25% of the Renewable Portfolio Standards in U.S. would be USD $35 billion [7]. The results also indicated that the substitution of renewables for coal-fired electricity would prove economical only if the renewables technologies were favorable, and this also emphasized the significance of the strategies to motivate the development of renewable technologies (capital expenditure expansion of research and development, for example). Undoubtedly, the inputs and costs of green and low carbon development cost a large amount in current technical circumstances all over the world. Unfortunately, the direct economic income of the new technology will be much lower, even if the effects of ECER were still not stable and obvious in practice. Using the conservation supply curve and evaluating the technologies cost of conserved energy (CCE), which includes the investment, operating costs, maintenance costs, and subtracted the cost of saved energy, Yuan and Lei found that almost half of the technologies used in the iron and steel sector in China were not cost-effective, and their CCEs were over zero [8].The results of similar researches in the ATI reach more or less the same outcomes. By calculating the Data Envelopment Analysis value with the Super Efficiency Data Envelopment Analysis model, Chen and Yu found that a large proportion of technologies and improvement measures in ECER projects in the ATI of Northern China were not relatively effective [9]. The non-economic effectiveness or non-economic efficiency in the short-term suggested the local governments and industry policymakers needed to be more prudent when making decisions as to whether or not to promote these neo-technologies.
In the ATI of China, aircraft fuel consumption represents 94% of the entire energy expense [10]. The cost of fuel accounts for more than 40% of the total operating costs of the Chinese airline industry [11]. If it is cost effective in accounting, there will be a much larger motive to invest in and promote the energy saving projects. As a result, policy makers and especially the airline managers will pay more attention to aircraft fuel conservation measures such as bio-oil techniques, or the optimal means to cut fuel costs, which was the only deducted income element in Li and Zhu’s CCE model [8]. Many studies have also been devoted to assessing the fuel consumption efficiency of aircrafts [12,13,14,15]. The Civil Aviation Administration of China (CAAC) also cares more about the fuel or energy efficiency. During the 12th Five-Year Plan period, the CAAC arranged more than RMB 2 billion to support the airlines, airports, and other institutions to improve energy efficiency and decrease the exhaust gas emissions. However, should the short-term economic benefits of implementing energy saving technologies only include the cost of saved energy? Is such a large amount of funding economically effective? How much in subsidies should the government air transportation departments in China provide when they make investment decisions? The precise and comprehensive understanding and calculation of the economic income of ECER projects is very important when attempting to answer these questions. However, there are few studies in such fields in China. The purpose of this paper is to clearly state and evaluate the comprehensive economic income generated by the investments into ECER by the ATI in China.

2. Literature Review

The economic benefits can be divided into the direct income and the indirect income according to the benefitted range, into the macro income and the micro income according to the benefitted size, and into the short-term income and the long-term income according to the benefitted length of time [16]. To describe the implementation process of the benefits of energy conservation and the emission reduction projects of the ATI, the classification of the direct and indirect income was chosen in this paper.
The ATI is a type of producing sector and can also produce Gross Domestic Product (GDP) (in the input-output tables of China, the components of value added include the Compensation of Employees, the Net Taxes on Production, the Depreciation of Fixed Asset, and the Operating Surplus), which is called the direct income. When the airlines, airports or other utilities of the ATI develop and implement ECER projects, they may hire more employees and invest in some new instruments and equipment. Such projects may also alter the operating expenses (e.g., cutting the cost of fuel) and correspondingly influence income tax. All of these can be treated as the direct income generated by the ECER projects by the ATI.
The ATI is one component in an integrated traffic system and plays a more important role in the development of the local community economy [17,18]. Due to the close relationship with other producing sectors, the benefits created by the ATI are much larger than the income generated on its own. The changed income of the ATI produced by ECER projects will spread to other producing sectors with different correlative patterns. The corresponding influence on the income of other sectors can be called the indirect income of the ECER projects by the ATI. The R&D and implementation of ECER projects by the ATI require a good deal of input in new techniques and facilities and instruments as well as a large amount of various kinds of materials and alternative energy sources (e.g., electricity, natural gas, and biofuel). Therefore, the production of the related producing sectors of the ATI will expand and consequently enlarge their demands of the producing inputs. This chain reaction will diffuse to many other industries. Such phenomena can be called the backward spread effects (BSE) of ECER projects by the ATI. Similarly, the ATI is also an important producing unit of other industries and the continuous process of producing in the circulation domain. The implementation of ECER projects can not only decrease emissions, but also help the airlines or airports cut operating costs. Furthermore, it provides the whole industry with an excellent chance to develop new technologies and extend the business and scope of the transportation network. Positive results create advantages that help other producing sectors to expand their production scale, with the capability to transport more passengers, commodities, and materials. According to the theory of the balance of the national economy, the production expansion of other producing sectors also requires more commodities and materials from their intermediate input supplying sectors. Likewise, the chain reaction will also pervade the whole national economic system. These kinds of benefits are the forward spread effects (FSE) of ECER projects by the ATI. The BSE and the FSE of ECER projects of ATI will also give rise to increased employee salaries due to the enlarged production of the entire producing sector. The increased income of the residents will then generate a new round of consumption and stimulate the production once again. These cyclical effects can be called the consumption multiplier effects (CME). All the BSE, FSE, and CME are the indirect benefits of ECER projects by the ATI.
The value added approach [19], the regression model [20,21], and the simultaneous equations [22] are the most commonly used methods when estimating the influence of air traffic on the local economy. The input-output method (I-O) is another approach that is usually used in many fields to evaluate the macroeconomy such as the economic benefits, the growth ability, and the evolutionary features of some industries [23,24,25,26,27]. For understanding the strong interrelationship with other producing sectors, I-O analysis is suitable for research into the economic effects of transport issues. Hence, the International Civil Aviation Organization (ICAO), which is a specialized UN agency, established by member states in 1944 to manage the administration and governance of the Convention on International Civil Aviation (Chicago Convention), used the I-O method to evaluate the contribution of air transport to the local economy and its findings indicated that every $100 of output produced and every 100 jobs generated by air transport will trigger additional demand of some $325 and 610 jobs in other industries [28]. The Federal Aviation Administration of the U.S. (FAA) also adopted the I-O model to appraise the induced economic impacts of the expenditure by the air transportation industry and their results showed that commercial aviation contributed $807.1 billion or 5.1% to the U.S. GDP in 2012 [29].
Given its strong applicability, the analytical framework and I-O analysis models were adopted in this paper. This study proceeds as follows: Section 3 describes the methodology, Section 4 describes the data and discusses the findings of the study, and Section 5 draws the conclusions and provides some discussion in this area.

3. Methodology

The I-O method was proposed by Leontief in 1936. In the national economic system, the production of each sector needs the outputs from other sectors as the necessary operating resources [30,31,32,33,34,35,36]. At the same time, the outputs of each sector are also important operating inputs for other production sectors in the national economic system. The I-O method adopts a chessboard input-output table to reflect the movement processes of the production among various producing sectors from the consumption and distribution aspects [37,38,39,40,41,42,43]. Table 1 shows the basic Chinese I-O table form. The I-O table can be mainly split into three parts: The I Quadrant, the II Quadrant, and the III Quadrant. In the trans-verse direction, the I Quadrant shows the service or production provided by one sector to the other sectors’ producing process. In the vertical direction, the I Quadrant reveals the service or production produced by other sectors that one sector consumes in their producing process. Hence, the I Quadrant is an important information source of the intermediate inputs, the intermediate use, and the I-O relationships between various producing sectors. The II Quadrant reveals the final use of the gross value of production after distribution and redistribution, and contains the final consumption expenditure and the capital formation. The intermediate use in the I Quadrant and the final use in the II Quadrant can provide the allocation and utilization of the total goods and service produced by the whole economic system [44,45,46,47,48,49]. The III Quadrant shows the formation and composition of the Value Added, which includes the compensation of employees, the net taxes on production, the depreciation of fixed assets, and the operating surplus. Such a constitution can help to calculate the impact of the variation of any industry, including the ATI, to the total macro-economy. The intermediate inputs in the I Quadrant and the value added in the III Quadrant are equal to the total economic inputs and reflect the value composition of the productions or services of each producing sector.
The I-O table has two patterns of manifestation: the physical I-O table and the value I-O table. The value I-O table is widely used because the physical I-O table can only reveal the practical quantitative relationship. The value dependence relationship revealed by the value I-O table can be described through a system of linear equations. Furthermore, there are always several coefficients to be introduced to the system of linear equations to express the techno-economic relationships among various producing sectors and help measure the value quantitative relationships between the general products and the intermediate products or/and the final products. These coefficients were adopted in this study to assess the direct income, BSE, FSE, and CME of the ECER by the ATI to the macroeconomy [17,18,30].

3.1. Direct Income Model

Let d p be the direct income of any producing sector p. The direct income model is:
d p = Z ¯ T Δ X
where ΔX is the output appreciation vector of each producing sector and Z ¯ T is the value-added coefficient vector. The changed output of the air transportation industry caused by the ECER projects, Δ X t , is paid much more attention in this article. Since only air transport sector t was measured, the other sectors’ output was set to 0, and ΔX is described as ( 0 , , Δ X t , , 0 ) T . The value-added coefficient of sector p, Z p ¯ , represents the value of GDP generated by a single output of sector k and can be described as z p / X p . zp is the added value generated by sector p, including the compensation of laborers, net taxes on production, depreciation of fixed assets, and operating surplus, just the components of each sector in the III Quadrant. Xp is the output of sector p.

3.2. BSE Model

Let bp be the BSE of any producing sector k. The BSE model is:
b p = Z ¯ T B Δ X
where B is the complete consumption coefficient matrix. The complete consumption coefficient is the total consumption—the direct consumption and indirect consumption—of other sectors when producing a single output of sector p. B can be described as I A 1 I , where A is the direct consumption coefficient matrix, and I is the identity matrix. The direct consumption coefficient aip indicates the amount or value of product i consumed when manufacturing one unit of product p. Z ¯ T B is called the BSE multiplier.

3.3. FSE Model

Let fp be the FSE of any producing sector p. The BSE model is:
f p = Δ X T × Q × Z ¯ T
where Q is the complete partition coefficient matrix. The complete partition coefficient shows the share of certain sectors’ production allocated to other sectors through direct and indirect patterns. Q can be calculated as ( I H ) 1 I , where H is the direct partition coefficient matrix. The direct partition coefficient hpi indicates the amount or value of one unit product p distributed to manufacture product i. Q . Z ¯ T is called the FSE multiplier.

3.4. CME Model

Keynes proposed the Multiplier Theory based on the Consumption Propensity Principle and derived the quantitative relationship between the gross national income and the investment. That is, the impact of the investment variation on the gross national income is much larger than the investment variation itself. The ratio between the variation of the gross national income and the investment is called the invest multiplier. The increment of the gross national income generated by the augment of investment also includes the incremental indirect consumption due to such activities. Hence, the invest multiplier is connected with the consumption propensity. According to Keynes’s multiplier principle, the invest multiplier can be described as 1/(1−c), where c is the marginal consumption propensity [31]. The function of c is C G , where C is the total consumption of the whole society and G is the total GDP [32]. Let c k be the CME of any producing sector. Then, the consumption augment generated by the direct income, BSE, and FSE is:
c k = ( d k + b k   +   f k ) c 1 c
c 1 c is called the consumption multiplier. Summing up all the direct income, BSE, FSE, and CME, the economic impact of ECER projects of by the ATI (EIEA) on the total society can be obtained, that is:
E I E A = ( Z ¯ T Δ X + Z ¯ T B Δ X + Δ X T × Q ×   Z ¯ T ) × ( 1 + c 1 c )

4. Data and Results

CAAC has arranged special funds annually since 2011 to subsidize and support the entities of ATI to research or/and implement ECER projects. These ECER projects can be categorized into seven groups: energy-saving technology improvement, energy saving by management measures, energy conservation products and green energy application, procurement or/and modification of aviation ground vehicle powered by green energy, air routes optimizing, disposal of airport sewage and waste water and procurement of reclaimed water facilities, and energy statistics and monitoring (There is another category named fundamental and strategic research projects, which generally funds the policies and strategies analysis. Due to the difficulties of measuring the direct income of such research items, this category was not included in our study). The units involved include airlines, airports, air controlling departments, supporting organizations, and other utilities. In 2014, CAAC inspected the execution of ECER in the seven regions (For the managing convenience and efficiency, CAAC established seven branches distributed in seven regions in China, named North China, North East China, North West China, Eastern China, Middle-South China, South West China and Xinjiang) all over China. The Beijing-Tianjin-Hebei region (BTH) is located in North China and has attracted the special attention of the central government of China as an entirety in recent years. The synergetic development of BTH was also highlighted in the report of the 19th CPC National Congress in November 2017. CAAC has also issued The Opinions on Promoting the Coordinated Development of Air Transportation of BTH. We attended the BTH inspecting team and for the data availability, BTH was used as a case in our study to describe the calculating process.
There were 124 projects implemented and funded by CAAC in BTH from 2011 to 2013, and their detailed status is listed in Table 2.
Table 2 shows that the investment on the ECER projects of airlines occupied the major share of the total funds annually and the three-year average from 2011–2013 was 79.52%. This investment propensity just matched up the ECER features of the ATI, which was that the fuel burned and corresponding exhaust gas discharged by the airlines were the controlling emphasis in the ATI. It also indicated that the investment from the CAAC and the operating entities grew year by year. This suggests that the inputs and the attention on the ECER issues of the ATI have increased over time.
The operating surplus can also be alluded to as the operating results, which are the comparison results between the income and various daily expenditures [33,34]. The ECER projects by the ATI cannot create additional revenue directly. Their main objectives are to increase energy efficiency and save energy consumption. Hence, the income of the projects here are the energy costs saved by the ECER projects of the ATI, e.g., fuel consumption retrenching due to the use of winglets (winglets are devices installed on the wing tip of the aircraft; winglets can help to reduce the induced drag of wings and thus contribute to decrease the fuel consumption) projects. The daily operating costs of the ECER of the ATI not only include the daily instruments maintenance cost, but also the alternative additional energy expenses such as the incremental electric power expenditure because of the ground power unit (GPU) equipment substituted for auxiliary power unit (APU) equipment. Hence, the operating surplus in our study was calculated as the difference between the income and daily operating costs of each project. The main alternation of net taxes on production in the I-O table was due to the implementation of ECER projects by the ATI is the variation of business income tax [35]. According to the data from the Civil Aviation Statistics Yearbook prepared by CAAC, the percentage of income tax to the operating costs of the ATI from 2011 to 2013 was 1.56%, 1.29% and 1.16%, respectively. Additionally, the net taxes on production in our study were the production of the operating surplus and the percentage of income tax to the operating costs. The total capital invested on the ECER projects of the ATI mainly constituted the value of the different kinds of fixed assets such as the Winglets on the aircraft. We assessed the depreciation of these fixed assets according to the assets life time expected by each projects implementation institution with the direct depreciation method. The performance of the ECER projects by the ATI did not need to hire extra employees. Therefore, the compensation of employees was negligible. Then, the changed output of the air transportation industry caused by the ECER projects, Δ X t , can be obtained as the summation of the value of the four items above. Table 3 shows the results of the Δ X t of annual new projects. It can be seen in Table 3 that the value of the annual additional Δ X t in 2013 was 1.56 times and 6.18 times as much as the value in 2012 and 2011, respectively. This indicated that the economic outputs of the new ECER projects by the ATI increased as the inputs and the attention on the ECER issues of the ATI were improved.
The provincial input-output table has been formally drawn up by the provincial bureau of statistics of various local provincial government of China every five years since 1987. Currently, there are two formats of I-O table, which are the 42-sector table and the 139-sector table. The 42-sector table was expanded to a 139-sector table after 2002 to reflect the input-output relationship in much more detail. The air transportation sector is displayed separately in the 139-sector table. The latest provincial I-O tables including 139 sectors were published in 2012. Due to the objective of this study, the provincial input-output tables of 139 sectors for 2012, published by the local Bureau of Statistics of Beijing, Tianjin, and Hebei, were adopted, which was the closest to 2011 and 2013. Based on the method and ideas put forward by Jiang [36], we aggregated the data of I-O tables of these three provinces to get the 139-sector I-O table of BTH for 2012. Then we used the 139-sector I-O table of BTH for 2012 to calculate the I-O coefficients.
With the models above described, we calculated the value-added coefficient, the complete consumption coefficient, and the complete partition coefficient of the BTH. The complete results are shown in Appendix A. Table 4 summarizes the top 10 results of the complete consumption coefficient and the complete partition coefficient of the BTH. It was indicated that besides the Air Transport sector itself, the Manufacture of Refined Petroleum Products, Processing of Nuclear Fuel sector and the Extraction of Crude Petroleum and Natural Gas sector were the two sectors that Air transport sector is most reliant upon in BTH. The Manufacture of Other Transport Equipment sector is another sector that provides lots of support to the Air Transport sector in BTH. Such consequences are in line with the actual situation of the ATI. From the overall perspective, the fuel expense and the instruments operating expenditures separately occupied 40.1% and 22.4% of the total operating costs of airlines in 2014 [50]. Table 4 also reveals that the sector of Public Management and Social Organization and the sector of Cargo Handling and Transport Agency were the two sectors that consumed the most ATI products and services in BTH, aside from the Air Transport sector itself. At the same time, the ATI provides strong backing to the development of the tertiary industry in BTH, much like the high-tech industry and the financial industry.
Using the data of the annual statistical communiqué of the local economic and social development of Beijing, Tianjin and Hebei, the marginal consumption propensity and the consumption multiplier are calculated to be as showed in Table 5.
Next, we obtained the EIEA results of the BTH from 2011 to 2013. Table 6 shows the values in detail. This indicated that the EIEA was worth much more than the capital invested on the ECER projects of the ATI. The total EIEA of these three years was ¥3.52 billion and the comprehensive economic income of these three years, which is the sum of the EIEA and the accumulated operating surplus, reached ¥4.74 billion and was 7.56 times as much as the total funds and capital invested. The results are clear evidence that the ECER projects of the ATI not only generate emissions reduction and promote the green development of the whole industry, but contributed much more to the national economy due to the operating expense saved due to the drop in the energy and fuel consumption.

5. Discussion

It can be seen that in order to boost the yield of ECER projects, improving the direct operating surplus will be the key point. That is, strengthening the energy-saving potential and then cutting the operating energy consumption expenses of the projects’ executing units. It is precisely due to such effects that airlines have a greater interest in executing projects such as the modification of winglets or aeromotors to cut down on their fuel costs. The total investment of BTH from 2011 to 2013 on such equipment reconstruction items was ¥3.72 billion, which occupied 59.24% of the overall capital and funds. It should also be noted that the funds provided by CAAC on these types of instrument modification projects totaled ¥1.14 billion, which was 60.75% of the general CAAC finance on ECER projects in the BTH region. However, the recent practice and global revolution tendency of ECER showed that the innovation of fundamental technology (e.g., R&D on biofuel and advanced materials) and green development rules, policies and strategies were exactly the most pivotal solutions to increase the prospective ECER efficiency, especially in China. Such kinds of studies and actions cost a huge amount of funds and human capital, aside from the very long preparation and research time. Furthermore, the direct economic benefits usually do not appear in the short-term or the net value is negative, sometimes the R&D of such projects even falls through to nothing. They contain more characteristics of public goods and non-profits. There is no business willing to invest in economically unviable projects. In the modern national governance system, it is the duty of the governmental institutions, like the CAAC, to perform the function of regulating, governance, and providing public services. It needs to let the market take the decisive role in resource allocation, that is, the airlines themselves still have great desire to invest in and execute projects that can produce valuable returns even without the support of the CAAC. Hence, we suggest that the special funds of the CAAC in the green development field are better spent to intensively subsidize the areas of basic green technology research, setting green standards and other crucial policies and strategies (e.g., constructing the market for trading carbon emissions).

6. Conclusions and Future Research

We measured the comprehensive economic contribution of the ECER projects by the ATI in BTH with the I-O method. The results showed that such capital and funds invested on these projects produced more direct and indirect income. Hence, the ECER projects are worth investing in from the perspectives of both the economic and social benefits. The overall gains assessed could be one of the judgement foundations for governmental departments like CAAC and other entities in the ATI when making investment decisions regarding ECER projects.
A uniform carbon emissions trade scheme (ETS) has not been established in China up until now. At present, there are only some experimental markets in several provinces. Therefore, the operating surplus in this study was only calculated as the difference between the energy costs saved and the daily operating costs of each project. Once a formal Chinese ETS has been set up and all market entities are participants, the operating surplus should extend to cover such income and loss. Meanwhile, the impacts of Chinese ETS to the green development of ATI are also worthy of a large amount of work.


This research described in this paper was supported by a grant from the National Social Science Fund of China (No. 13CGL005) and a grant from the CAAC Special Fund on Energy Conservation and Emission Reduction (DPDSR0009). We would like to thank Lecturer Jixing Lv (Research Center for Environment and Sustainable Development of China Civil Aviation of CAUC) for helpful advice on calculating the operating surplus.

Author Contributions

Writing: Yuxiu Chen, Jian Yu; Providing case and idea: Li Li, Linlin Li, Long Li; providing revised advice: Sang-Bing Tsai, Jie Zhou, Quan Chen.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Value added coefficient, complete consumption coefficient and complete partition coefficient of 139 sectors of BTH.
Table A1. Value added coefficient, complete consumption coefficient and complete partition coefficient of 139 sectors of BTH.
SectorValue Added CoefficientComplete Consumption CoefficientComplete Partition CoefficientSectorValue Added CoefficientComplete Consumption CoefficientComplete Partition Coefficient
Farming0.658094900.009483960.00827421Manufacture of Machinery for Mining, Metallurgy and Construction0.331217570.007935510.00658125
Forestry0.662323620.001605680.00036001Manufacture of Machinery for Chemical Industry, Timber and Nonmetal Processing0.290644180.001646710.00173513
Animal Production0.457849350.004142030.00567587Manufacture of Machinery for Agriculture, Forestry, Animal Production and Fishery0.235309300.000118660.00166339
Fishery0.552408790.001773000.00103603Manufacture of Other Special Purpose Machinery0.323468570.010445560.01138952
Support Services to Farming, Forestry, Animal Production and Fishery0.427852230.000541210.00274617Manufacture of Motor Vehicles, Except Parts and Accessories for Motor Vehicles0.234320100.005033320.02322162
Mining and Washing of Coal0.486685470.040261070.01592184Manufacture of Parts and Accessories for Motor Vehicles0.220175520.006889630.01486032
Extraction of Crude Petroleum and Natural Gas0.677849550.294644380.00417251Manufacture of Railway Transport Equipment0.278688240.001916020.00245919
Mining of Ferrous Metal Ores0.270789090.022064120.03042053Manufacture of Boats and Ships and Floating Devices0.282404760.000665400.00066575
Mining of Non-Ferrous Metal Ores0.489238410.004136680.00039493Manufacture of Other Transport Equipment0.310157700.050833440.00689735
Mining and Quarrying of Nonmetallic Mineral0.327122200.003347090.00181540Manufacture of Generators and Eclectic Motors0.195494520.001875050.00298272
Mining Support Activities and Other Mining and Quarryin n.e.c.0.243410470.001236810.00420443Manufacture of Equipments for Power Transmission and Distribution and Control0.167274620.007828300.00931105
Manufacture of Grain Mill Products0.138327900.001118690.00121742Manufacture of Wire, Cable, Optical Cable and Electrical Goods0.209900820.007357620.00767773
Manufacture of Prepared Animal Feeds0.155766460.001428190.00438317Manufacture of Batteries0.187334350.000968730.00770118
Manufacture of Crude and Refined Oils from Vegetable0.163100350.001061320.00370546Manufacture of Household Appliances0.205394260.000335810.00315946
Manufacture of Sugar0.293091750.000619530.00008414Manufacture of Other Electrical Machinery and Equipment0.309581590.001487810.00228048
Slaughtering and Processing of Meat0.182781840.002519320.00252465Manufacture of Computer0.121924210.006313350.00453914
Processing of Aquatic Products0.232324480.000867760.00018777Manufacture of Communication Equipment0.124230040.001586580.05947318
Processing of Other Foods0.217764760.001706710.00363674Manufacture of Broadcasting, Television Equipment of Radar and Related Equipment0.331232570.000543120.00111618
Manufacture of Convenience Food Products0.345049470.000634430.00256413Manufacture of Audiovisual Apparatus0.183890760.001455350.00323154
Manufacture of Milk and Dairy Products0.198879170.001214400.00252478Manufacture of Electronic Components and Parts0.201560380.012791800.04235060
Manufacture of Flavoring and Ferment Products0.271991370.000899350.00053458Manufacture of Other Electronic Equipment0.282635730.000203010.01121072
Manufacture of Other Food Products n.e.c.*0.293565080.003657700.00766440Manufacture of Measuring Instruments and Meters0.307744420.004224000.00854029
Manufacture of Alcohol and Alcoholic Beverages0.341933290.004224130.00188450Other Manufacture0.233117830.002568140.00320148
Manufacture of Soft Drinks and Refined Tea Products0.270251510.006963130.00338421Comprehensive Utilization of Waste Resources0.428879710.005015750.00233219
Manufacture of Tobacco Products0.762135300.000089180.00040446Repair of Fabricated Metal Products, Machinery and Equipment0.406294560.004719700.00142737
Spinning, Weaving and Finishing of Cotton and Chemical Fibers0.224353330.003576100.00916149Production and Supply of Electricity and Steam0.190439110.095807170.02982044
Spinning, Weaving and Finishing of Wool0.238457870.000333310.00111817Production and Distribution of Gas0.279634370.003571680.00123536
Spinning, Weaving and inishing of Bast and Silk Fibers0.250956330.000115310.00004119Production and Distribution of Water0.299765910.002826070.00150234
Manufacture of Knitted and Crocheted Fabrics and Articles, Except Apparel0.236681370.003549640.00051150Construction of Buildings0.230444040.004550160.05605056
Manufacture of Made up Textile Articles, Except Apparel0.294011920.003449940.00181027Civil Engineering0.186699420.000001090.01919112
Manufacture of Textile Wearing Apparel0.318424980.003134910.00715224Construction Installation Activities0.414471980.000037880.00456523
Manufacture of Leather, Fur, Feather and Its Products0.279035980.000656300.00600132Construction Completion and Finishing, Other Construction Activities0.316158940.010155770.00270952
Manufacture of Footwear0.246152260.000024300.00048226Wholesale and Retail Trade0.736103220.068627600.06784826
Processing of Timbers and Manufacture of Products of Wood, Bamboo, Rattan, Palm and Straw0.244279150.003265860.00147456Transport Via Railway0.473138720.011736100.00603715
Manufacture of Furniture0.253946240.000469080.00251287Transport Via Road0.463574280.026634230.06797723
Manufacture of Paper and Paper Products0.227193330.008564050.00622567Water Transport0.194228650.014912600.03464911
Printing and Reproduction of Recording Media0.321605780.004476750.00289300Air Transport0.321802750.196715180.19694567
Manufacture of Stationeries, Musical Instruments, Products of Arts and Crafts, Sports Goods, Games and Toys0.310539650.002131930.00276225Transport Via Pipeline0.595131560.015703240.00086432
Manufacture of Refined Petroleum Products, Processing of Nuclear Fuel0.125803890.403349710.01314310Cargo Handling, Transport Agency0.238093870.042376040.10755623
Manufacture of Coke Products0.154227700.005562780.00822360Storage0.226693260.001125040.01538479
Manufacture of Basic Chemicals0.215147870.012090010.01071587Post0.472988390.000564590.02399714
Manufacture of Fertilizers0.208671000.001437610.00170702Accommodation0.388353180.006762700.00761059
Manufacture of Pesticides0.127327690.000419680.00137720Food and Beverage Services0.396194400.021055320.01085963
Manufacture of Paints, Printing Inks, Pigments and Similar Products0.246360650.002945500.00401435Telecommunication and Other Information Transmission Services0.536811450.012613700.02396582
Manufacture of Synthetic Materials0.280155700.006184450.00588272Software and Information Technology Services0.319486910.001652690.04957960
Manufacture of Special Chemical Products0.226998140.011567360.00535333Monetary Intermediation and Other Financial Services0.672099640.056622970.06638806
Manufacture of Daily-use Chemical Products0.309415480.001286410.00187901Capital Market Services0.765355760.008954090.00041444
Manufacture of Pharmaceutical Products0.270829510.000647970.02104495Insurance0.395473710.006323750.01038181
Manufacture of Chemical Fibers0.182042100.001021240.00125299Real Estate0.717909700.021304040.03462631
Manufacture of Rubber Products0.252393120.003638170.00531817Renting and Leasing0.562159940.007481300.00341211
Manufacture of Plastic Products0.290466600.009083590.00917636Business Services0.369046340.025025960.05734253
Manufacture of Cement, Lime and Plaster0.278234460.001571010.00422344Research and Experimental Development0.358563020.001289400.02532175
Manufacture of Products of Plaster and Cement and Similar Products0.223423530.001009090.00364078Professional Technique Services0.356929440.004811000.09191337
Manufacture of Brick, Stone and Other Building Materials0.238392440.003071130.00251076Technique Promotion and Application Services0.304641710.005494080.01778830
Manufacture of Glass and Glass Products0.247243810.002611510.00306518Management of Water Conservancy0.702005730.000131410.00102277
Manufacture of Cematic and Porcelain Products0.365535120.000307610.00056562Ecological Protection and Environmental Control0.546145950.000794570.00157587
Manufacture of Refractory Products0.237428760.000290010.00139037Management of Public Facilities0.402981020.000267650.00280499
Manufacture of Products of Graphite and Other Nonmetallic Minerals0.281458820.000886910.00150467Services to Households0.517215160.000598800.01123691
Manufacture and Casting of Basic Iron and Steel0.208311070.017579950.02450266Repair of Motor Vehicles, Electronic Products and ouseholds Goods and Other Services0.378920440.013808240.02343402
Processing of Steel Rolling Processing0.186394540.046493650.08255945Education0.589731090.007596190.04671477
Manufacture of Ferroalloy0.153754890.001396750.00040777HealthCare0.413987040.000129230.01972915
Manufacture and asting of Non-Ferrous Metals and Related Alloys0.220724080.013024120.00274603Social Work Activities0.731390230.000071830.00035766
Processing of Non-Ferrous Metals Rolling0.183597610.010057730.00587403Journalism and Publishing0.399461030.001037480.00675849
Manufacture of Fabricated Metal Products, Except Machinery and Equipment0.210775300.020668960.02476300Radio, Televisions, Movies and Audio-Video Recording Activities0.408285520.001501280.01213762
Manufacture of Boiler and Prime Mover0.218645050.001912370.00247806Cultural, Art and Entertainment Activities0.604629020.000138940.00271520
Manufacture of Metalworking Machinery0.216934020.001048800.00259596Sports Activities0.479426410.000018310.00415866
Manufacture of Lifting and Hand ling Equipment0.274262880.002785850.00472780Amusement and Recreation Activities0.485394120.000782130.00131621
Manufacture of Pump, Valve, Compressor and Similar Machinery0.267087580.001733900.00732001Social Security0.741565630.000002860.00030117
Manufacture of Movie, office Machinery and Equipment, of Projector and Camera0.147481730.000688150.00247928Public Management and Social Organization0.557957820.001952290.11587743
Manufacture of Other General-Purpose Machinery0.244280340.013519290.01113402————————


  1. CAAC; NDRC; MOT. The 13th Five-Year Plan for the Development of the Air Transportation Industry of China; Civil Aviation Administration of China: Beijing, China, 2016.
  2. Manne, A.S.; Riches, R.G. Global CO2 emissions reduction- the impact of rising energy costs. Energy J. 1991, 12, 87–107. [Google Scholar] [CrossRef]
  3. Maddison, D. A cost-benefit analysis of slowing climate change. Energy Policy 1995, 23, 337–346. [Google Scholar] [CrossRef]
  4. Fan, Y.; Zhang, X.; Zhu, L. Estimating the macroeconomic costs of CO2 emission reduction in China based on multi-objective programming. Adv. Clim. Chang. Res. 2010, 1, 27–33. [Google Scholar] [CrossRef]
  5. Hsu, G.J.Y.; Chou, F.-Y. Integrated planning for mitigating CO2 emissions in Taiwan. Energy Policy 2000, 8, 519–523. [Google Scholar] [CrossRef]
  6. Morgenstern, R.D.; Pizer, W.A.; Shih, J.-S. The cost of environmental protection. Rev. Econ. Stat. 2001, 83, 732–738. [Google Scholar] [CrossRef]
  7. Crane, K.; Curtright, A.E.; Ortiz, D.S.; Samaras, C.; Burger, N. The economic costs of reducing greenhouse gas emissions under a U.S. National renewable electricity mandate. Energy Policy 2011, 39, 2730–2739. [Google Scholar]
  8. Li, Y.; Zhu, L. Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector. Appl. Energy 2014, 130, 603–616. [Google Scholar] [CrossRef]
  9. Chen, Y.; Yu, J. Investment efficiency of energy saving and emission reduction of civil air transportation industry. Friends Account. 2017, 17, 65–69. [Google Scholar]
  10. Wang, R.; Lv, J. Analysis on the framework of Chinese civil aviation industry participation in the national carbon markets. Adv. Clim. Chang. Res. 2015, 11, 68–75. [Google Scholar]
  11. Development and Planning Division of Civil Aviation Administration of China. Statistical Yearbook of Civil Air Transportation Industry (2014); China Civil Aviation Publishing House: Beijing, China, 2015. [Google Scholar]
  12. Chen, J.; Yan, Y.; Liu, J. Fuel consumption estimation for cruise phase based on bp neural network and its analysis of structural factors. Comput. Meas. Control 2015, 23, 2135–2138. [Google Scholar]
  13. Chen, J.; Li, L. Fuel consumption classification of aircraft in descent based on k-means algorithm. Meas. Control Technol. 2015, 4, 16–19. [Google Scholar]
  14. Liu, J.; Ma, T.; Chen, J. Relax-based method for aircraft fuel consumption performance evaluation. Electron. Opt. Control 2015, 22, 101–105. [Google Scholar]
  15. Chen, J.; Li, M. Fuel consumption prediction based on bootstrap method under small size of sample. Meas. Control Technol. 2015, 34, 26–29. [Google Scholar]
  16. Li, L. Study on the Formation Mechanism and Quantitative Analysis of Highway Project Economic Benefits Based on Transportation Demand. Ph.D. Thesis, Chan’an University, Xi’an, China, 2009. [Google Scholar]
  17. Chen, L. A research on the socio-economic effect of air transportation industry in Beijing based on input-output analysis. J. Beijing Univ. Aeronaut. Astronaut. 2013, 26, 60–63. [Google Scholar]
  18. Chen, L. Study on the contribution of civil aviation industry to China’s economy and society. Railway Transport Econ. 2010, 32, 16–20. [Google Scholar]
  19. Fung, M.; Law, J.; Ng, L. Economic contribution to Hong Kong of the aviation sector: A value-added approach. Chin. Econ. 2006, 39, 19–38. [Google Scholar] [CrossRef]
  20. Button, K.; Taylor, S. International air transportation and economic development. J. Air Transport Manag. 2000, 6, 209–222. [Google Scholar] [CrossRef]
  21. Stephens, M.S.; Ikeogu, V.; Stephens, O.B.; Ukpere, W.I. Empirical analysis of the contribution of the aviation industry to the Nigerian economy. Mediter. J. Soc. Sci. 2014, 5, 115–125. [Google Scholar] [CrossRef]
  22. Jowett, K.; Hopkins, D. The Contribution of the Aviation Industry to the UK Economy; Oxford Economic Forecasting: London, UK, 1999. [Google Scholar]
  23. Zhui, Y.; Xu, Y. The analysis on the economic influence of China’s aircraft industry based on input-output method. Soft Sci. 2008, 22, 47–50. [Google Scholar]
  24. Chen, M.; Chen, A.; Zhao, F. Gradient transmission of industry spread effect of international industry transfer in China: The input-output empirical analysis in view of opening degree. Econ. Manag. 2011, 6, 29–35. [Google Scholar]
  25. Gao, J.; Liu, Y. Carbon emissions embodied in Sino-us trade and trade environment effect: An empirical analysis based on environmental input-output approach. Contemp. Financ. Econ. 2012, 5, 94–105. [Google Scholar]
  26. Ren, X.; Ren, J. Empirical analysis of Chongqing air pollutant emission based on input-output law. J. Chongqing Technol. Bus. Univ. 2014, 31, 88–92. [Google Scholar]
  27. Si, Z. The empirical study on the evaluation of comprehensive development capacity of research and experiment development sector in china based on industry i-o models. China Soft Sci. Mag. 2015, 7, 158–169. [Google Scholar]
  28. International Civil Aviation Organization. Economic Contribution of Civil Aviation; International Civil Aviation Organization: Montréal, QC, Canada, 2002; Available online: (accessed on 2 March 2012).
  29. The Economic Analysis Group. The Economic Impact of Civil Aviation on the U.S. Economy; U.S. Department of Transportation of Federal Aviation Administration: Washington, DC, USA, 2014.
  30. Wang, C. Quantitative study of transportation’s contribution to national economy growth. China J. Highway Transport 2004, 17, 94–97. [Google Scholar]
  31. Ren, Z.; Pan, W. Structural multiplier and its development to Keynesian macroeconomics. J. Quant. Tech. Econ. 2009, 8, 83–95. [Google Scholar]
  32. Li, L. Regional multiplier effect and regional coordinated development mechanism in China. Econ. Rev. 2007, 6, 125–132. [Google Scholar]
  33. Shou, A. Industrial added value in the financial reports. Financ. Zhejiang 2002, 9, 34–35. [Google Scholar]
  34. Wang, D. How to transfer the gross national product into new indicator. Geol. Tech-Econ. Manag. 1994, 16, 34–36. [Google Scholar]
  35. Bi, C.; Li, J. Tax burden and structure of the final demand in China. J. Zhonnan Univ. Econ. Law 2015, 3, 42–49. [Google Scholar]
  36. Jiang, Y. The Research of Bohai Rim Industrial Structure Adjustment Based on Industry Association. Ph.D. Thesis, Dalian Maritime University, Dalian, China, 2013. [Google Scholar]
  37. Tsai, S.-B.; Wei, Y.M.; Chen, K.-Y.; Xu, L.; Du, P.; Lee, H.-C. Evaluating Green Suppliers from Green Environmental Perspective. Environ. Plan. B Plan. Design 2016, 43, 941–959. [Google Scholar] [CrossRef]
  38. Lee, Y.-C.; Wang, Y.-C.; Lu, S.-C.; Hsieh, Y.-F.; Chien, C.-H.; Tsai, S.-B.; Dong, W. An empirical research on customer satisfaction study: A consideration of different levels of performance. SpringerPlus 2016, 5, 1577. [Google Scholar] [CrossRef] [PubMed]
  39. Wang, J.; Yang, J.; Chen, Q.; Tsai, S.-B. Creating the sustainable conditions for knowledge information sharing in virtual community. SpringerPlus 2016, 5, 1019. [Google Scholar] [CrossRef] [PubMed]
  40. Tsai, S.-B. Using the DEMATEL model to explore the job satisfaction of research and development professionals in China’s photovoltaic cell industry. Renew. Sustain. Energy Rev. 2018, 81, 62–68. [Google Scholar] [CrossRef]
  41. Lee, Y.-C.; Hsiao, Y.-C.; Peng, C.-F.; Tsai, S.-B.; Wu, C.-H.; Chen, Q. Using Mahalanobis–Taguchi system, logistic regression, and neural network method to evaluate purchasing audit quality. Proc. Inst. Mech. Eng. Part B 2014. [Google Scholar] [CrossRef]
  42. Liu, B.; Li, T.; Tsai, S.-B. Low carbon strategy analysis of competing supply chains with different power structures. Sustainability 2017, 9, 835. [Google Scholar] [CrossRef]
  43. Huang, Z.; Nie, J.; Tsai, S.-B. Dynamic Collection Strategy and Coordination of a Remanufacturing Closed-Loop Supply Chain under Uncertainty. Sustainability 2017, 9, 683. [Google Scholar] [CrossRef]
  44. Qu, Q.; Tsai, S.-B.; Tang, M.; Xu, C.; Dong, W. Marine ecological environment management based on ecological compensation mechanisms. Sustainability 2016, 8, 1267. [Google Scholar] [CrossRef]
  45. Tsai, S.-B.; Yu, J.; Ma, L.; Luo, F.; Zhou, J.; Chen, Q.; Xu, L. A study on solving the production process problems of the photovoltaic cell industry. Renew. Sustain. Energy Rev. 2018, 82, 3546–3553. [Google Scholar] [CrossRef]
  46. Chin, T.; Tsai, S.-B.; Fang, K.; Zhu, W.; Yang, D.; Liu, R.; Ting, R.; Tsuei, C. EO-Performance relationships in reverse internationalization by Chinese Global Startup OEMs: Social networks and strategic flexibility. PLoS ONE 2016, 11, e0162175. [Google Scholar] [CrossRef] [PubMed]
  47. Lee, S.-C.; Su, J.-M.; Tsai, S.-B.; Lu, T.-L.; Dong, W. A comprehensive survey of government auditors’ self-efficacy and professional Development for improving audit quality. SpringerPlus 2016, 5, 1263. [Google Scholar] [CrossRef] [PubMed]
  48. Lee, Y.-C.; Wang, Y.-C.; Chien, C.-H.; Wu, C.-H.; Lu, S.-C.; Tsai, S.-B.; Dong, W. Applying revised gap analysis model in measuring hotel service quality. SpringerPlus 2016, 5, 1191. [Google Scholar] [CrossRef] [PubMed]
  49. Wang, J.; Yang, J.; Chen, Q.; Tsai, S.-B. Collaborative Production Structure of Knowledge Sharing Behavior in Internet Communities. Mobile Inf. Syst. 2016, 2016, 8269474. [Google Scholar] [CrossRef]
  50. Finance Devision of CAAC. Financial Status Analysis Report of Civil Air Transportation Industry (2014); Civil Aviation Administration of China: Beijing, China, 2014.
Table 1. Basic input-output table form.
Table 1. Basic input-output table form.
OutputIntermediate UseFinal UseImportsErrorsTotal (Gross) Output
InputSector 1……Sector 139Total Intermediate UseTotal Final Consumption ExpenditureGross Capital FormationExportsTotal Final Use
Household Consumption ExpenditureGovernment Consumption ExpenditureTotalGross Fixed Capital FormationChanges in InventoriesTotal
Rural HouseholdUrban HouseholdTotal
Intermediate InputsSector 1Ⅰ QuadrantⅡ Quadrant
Sector 139
Total Intermediate Inputs
Value AddedCompensation of EmployeesⅢ Quadrant-
Net Taxes on Production
Depreciation of Fixed Assets
Operating Surplus
Total Value Added
Total Inputs
Table 2. The overview of Energy Conservation and Emission Reduction projects in Beijing-Tianjin-Hebei region from 2011 to 2013.
Table 2. The overview of Energy Conservation and Emission Reduction projects in Beijing-Tianjin-Hebei region from 2011 to 2013.
YearAirlines Projects Investment (Ten Thousand ¥)Airports Projects Investment (Ten Thousand ¥)Other Utilities Projects Investment (Ten Thousand ¥)Annual New Total Investment * (Ten Thousand ¥)Annual Newly Total Projects Quantities
Source: Research Center for Environment and Sustainable Development of China Civil Aviation. * The total investment includes the capital funded by CAAC and the capital invested by every ECER projects implementation subject.
Table 3. The output appreciation generated by annual new ECER projects of the Air Transportation Industry from 2011 to 2013.
Table 3. The output appreciation generated by annual new ECER projects of the Air Transportation Industry from 2011 to 2013.
Items (units: 10,000 ¥)201120122013
The operating surplus 6849.2228,123.8444,962.85
The net taxes on production 108.33366.96525.85
The depreciation of fixed assets 687.601873.901777.23
The compensation of employees
Total value of annual additional projects 7645.1430,364.7047,265.94
Annual accumulated value7645.1438,009.8485,275.78
Table 4. Top 10 Complete consumption coefficients and the complete partition coefficient of 139 sectors of BTH.
Table 4. Top 10 Complete consumption coefficients and the complete partition coefficient of 139 sectors of BTH.
SectorComplete Consumption CoefficientSectorComplete Partition Coefficient
Manufacture of Refined Petroleum Products, Processing of Nuclear Fuel0.40334971Air Transport0.196945669
Extraction of Crude Petroleum and Natural Gas0.29464438Public Management and Social Organization0.115877432
Air Transport0.19671518Cargo Handling, Transport Agency0.107556231
Production and Supply of Electricity and Steam0.09580717Professional Technique Services0.091913374
Wholesale and Retail Trade0.06862760Processing of Steel Rolling Processing0.082559448
Monetary Intermediation and Other Financial Services0.05662297Transport Via Road0.067977225
Manufacture of Other Transport Equipment0.05083344Wholesale and Retail Trade0.067848259
Processing of Steel Rolling Processing0.04649365Monetary Intermediation and Other Financial Services0.066388062
Cargo Handling, Transport Agency0.04237604Manufacture of Communication Equipment0.059473182
Mining and Washing of Coal0.04026107Business Services0.057342530
Table 5. Marginal consumption propensity and consumption multiplier of BTH from 2011 to 2013.
Table 5. Marginal consumption propensity and consumption multiplier of BTH from 2011 to 2013.
YearMarginal Consumption PropensityConsumption Multiplier
Table 6. The economic impact of ECER projects of by the ATI and comprehensive income of ECER projects of the ATI in BTH from 2011 to 2013 (ten thousand ¥).
Table 6. The economic impact of ECER projects of by the ATI and comprehensive income of ECER projects of the ATI in BTH from 2011 to 2013 (ten thousand ¥).
The direct income2460.2312,231.6727,441.98
The annual accumulated operating surplus6849.2234,973.0679,935.91
The annual comprehensive income26,952.54135,921.62311,095.83

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top