1. Introduction
Concerns over carbon emissions have made the Chinese government become interested in developing natural gas, which is regarded as a clean, efficient, and low-carbon energy source. Natural gas has been broadly introduced for heating, cooking, transportation, and power generation in China [
1]. The Chinese natural gas industry was developed relatively late, although it has expanded rapidly in recent decades. In 2013, domestic gas output in China reached 112.9 billion cubic meters (bcm), making China the sixth largest gas producer in the world [
2]. In the same year, domestic gas consumption reached 163.1 bcm, with an annual growth rate of 15.4 percent [
3], which has made China the fourth largest global natural gas consumer after the USA, Russia, and Iran [
4]. According to the International Energy Agency, Chinese natural gas consumption will reach 240 bcm in 2015, and later 600 bcm in 2035, equivalent to that of all Europe [
5].
The development of the gas industry in China can be divided into three stages [
6]. During the primary stage, the output of natural gas increased from 0.01 bcm in 1949 to 17.9 bcm in 1997, with an average annual growth rate of only 0.4 bcm [
7]. During this stage, exploration was the main focus of the natural gas industry and the domestic production was very low. Gas markets only concentrated around gas fields as cross-regional pipelines had not been built yet.
The second stage spans from 1997 to 2004 and is characterized as a transition stage with rapid development. During this period, the gas production continued to grow. The first interprovincial gas pipeline, the Shanxi-Beijing pipeline, became operational and extended gas market availability far outside gas production areas. Furthermore, both imported liquefied natural gas (LNG) projects and exploration of unconventional natural gas resources were initiated.
The third stage is a stage of rapid development that started in 2004, when the West-East gas pipeline was constructed. Multiple cross-regional pipeline networks increased from 24,000 kilometers in 2008 to 55,000 kilometers in 2013 [
8]. Gas production increased significantly and large state-owned gas corporations also began to acquire gas abroad. Furthermore, domestic gas consumption surged from 37.9 bcm in 2004 to 163.1 bcm in 2013, which made China become a net gas importer in 2006 [
9]. Gas enterprises started to put more emphasis on unconventional natural gas exploration and production. The specific details of the three stages are summarized in
Table 1.
Despite all these developments, there are still challenges for the gas industry in China. Firstly, China still falls far behind many developed countries in terms of exploration, production and infrastructure construction. For instance, China’s natural gas pipeline density is only 5.2 M/km
2, which is just 1/20 of that of France and 1/32 of that of Germany [
10]. Furthermore, advanced exploitation technologies for unconventional and deep-sea natural gas need to be further introduced from the US and Europe [
11].
Secondly, Chinese natural gas market is still highly monopolized by few major gas companies and lack of sufficient competitive markets. Since 2003, the upstream market has long been occupied by three big companies, namely CNPC, Sinopec and CNOOC, whose combined market share has been over 96% [
12]. This situation is also typical in the highly monopolistic midstream transportation market of gas, where CNPC, Sinopec, CNOOC hold market shares of 89.3%, 4.9%, 2.2% respectively [
13]. When the pipeline business is controlled by several large companies, these companies may prevent other gas sources from entering the pipeline network, such as shale gas, coal gas, and imported gas. In this way they can suppress the emerging unconventional gas companies to maintain their competitive advantage. Decreased development of unconventional gas will not be helpful for the sustainability of gas industry. Furthermore, a monopolistic market may lead to a reduction in the operational efficiency of the market and a lack of development momentum for gas companies. Therefore, breaking up monopolies and diversifying market participants are very important factors in promoting gas industrial development.
Table 1.
Stages and features of the natural gas industry in China.
Table 1.
Stages and features of the natural gas industry in China.
Period | First Stage | Second Stage | Third Stage |
---|
1949–1997 | 1997–2004 | 2004 to Present |
---|
Market Supply | Low output | Domestic production was basic self-sufficiency; gas import and initial explorations of unconventional natural gas was started | Domestic gas output surged; large-scale gas started to be imported; the exploration of unconventional gas was accelerated |
Pipeline construction | Pipelines were mainly provincial and there were no cross-regional pipelines | Construction of pipelines and infrastructure started in the large-scale development period and the first cross-regional pipelines were put into operation | Gas supply pipelines covered big cities and formed networks |
Consumption market | Markets concentrated around gas field areas | Formation of regional markets | Formation of a nationwide market |
Market structure | Few companies monopolized the construction of infrastructure and gas supply defined as part of public service | Several magnates monopolized the upstream and midstream market | More competitors appeared and formed a competitive market |
Governance | Lack of governance | Governance was strengthened | A specific department was founded to conduct, supervise and govern |
Thirdly, natural gas price is still determined by the government [
14]. Under this pricing mechanism, the natural gas price is relatively low and it fails to reflect the real market value. The enforced low gas price reduced profits of enterprises as well as creating economic hindrances.
Fourthly, environmental regulations and security emergency management for industry have not been improved in China. The rapid growth of the gas industry has been coupled with substandard management and ecological concerns in recent years. For production and transportation of gas, there has been serious damage done to the environment due to legal deficiency. It is vital to attribute responsibility to industry for frequent security incidents [
15].
It is vital to address the challenges faced by the natural gas industry in China and determine a way to find a more sustainable development path. Several scholars have discussed these issues before. Zhai Guangming put forth some suggestions for the Chinese oil and gas industry involving strengthening exploration, developing unconventional resources, implementing energy saving and emission reduction, and expanding international cooperation [
16]. Shi Xingchun recognized that sustainable development of the gas industry requires a stable gas supply, high operational efficiency, methodical peak-shaving systems, and potent demand-side management [
17]. Liu Yijun summarized international experiences and concluded that four measures contribute to sustainable development: stable supply, reasonable property right mechanisms, competitive market structure, and improved infrastructure [
18].
Others have paid more attention to the environmental aspects of sustainable development. Gavin Hilson examined Canadian policies on the sustainable development of mining industries and concluded that the government and enterprises should cooperate to strengthen legislation and regulations on environmental protection [
19]. Roger Harris and Anshuman Khare studied the oil industry in Alberta, and found that it is necessary for oil enterprises to find low-cost environmental protection strategies to achieve sustainable development of the oil industry [
20].
Previous studies on sustainable development of oil or gas industry were often dissimilar in terms of underlying theory and chosen case studies. They have the following insufficiencies: (1) most of the research is based on qualitative analysis and lacks quantitative analysis and data support; (2) for the factors affecting China’s gas industry’s sustainable development, most of scholars have only involved increasing supply, enhancing the construction of infrastructure and advancing price mechanism reform, and ignored the driving effects of science and policy, and the factor of sustainable consumption; (3) the above literature did not conduct a comprehensive evaluation of the sustainable capacity of the gas industry in China through quantitative analysis.
In this thesis, the most important research contributions are a new sustainable theory for resource-based industry and a sustainable evaluation index for the gas industry. Combined with the fundamental ideas of sustainable development, industrial development theories and features of the natural gas industry, a sustainable development theory for the industry has been developed in this paper by considering factors including resources, market, enterprise, technology and policy. Furthermore, based on the theoretical structure, the Natural Gas Industry Sustainability Index in China has been established and evaluated with the PCA method.
Principal Component Analysis (PCA) can be used as an effective method to minimize the limitations of previous studies. For example, Zhu implemented PCA to evaluate the economic performance of 18 cities in China [
21]. Chevalier applied several indicators to measure the dependency on oil and gas of countries within the European Union [
22]. EC [
23] and OECD [
24] guideline have been referred in constructing the composite indicator by using the method of PCA. Tsatsarelis
et al. have used PCA as an assessment tool to estimate the status of open dumps in Laconia prefecture of Peloponnese in southern Greece [
25]. Therefore, to the best of our knowledge, PCA is a preferable method to evaluate the sustainability of natural gas industry. Using the PCA, the Natural Gas Industry Sustainability Index (NGISI) of China from 2008 to 2013 will be examined in this thesis.
3. Natural Gas Industry Sustainability Index (NGISI)
Several approaches have been developed to conduct a study on sustainability assessments. Based on a relevant theoretical framework, one or several indicators will be usually selected by some assessment methodologies and evaluated to obtain a final verdict on the sustainability of a studied system. Such indicators are often called “Sustainable Development Indicators” (SDIs), and are recognized as a useful tool for policy-making and evaluation. These indicators may be simple or composite in nature. Composite indicators are constructed by aggregating different dimensions through recognizing, classifying, restructuring or aggregating methods with the aim of obtaining a more holistic description of sustainability. Multivariate techniques are often applied in processing these indicators, such as Factor Analysis, Cluster Analysis, Principal Component Analysis, and Multivariate Analysis, etc.
Principal Component Analysis (PCA) or Proper Orthogonal Decomposition (POD) was first proposed by Pearson and frequently used to construct SDIs [
46]. It is a multivariate statistical approach which was aimed at reducing data dimensions by using linear orthogonal transforms of multiple highly correlated variables into a new set of independent uncorrelated variables, called “principal components.” The principal components are orthogonal because they are the eigenvectors of the covariance matrix, which is symmetric. PCA is effective in compressing data dimensionality without too much information loss and can identify data patterns and highlight similarities and differences. However, PCA is sensitive to the relative scaling of the original variables.
Based on the theoretical framework of natural gas industrial sustainability, it can be found that the NGISI evaluation system involves large data amounts in need of simplification. PCA can reduce the dimensionality data to a smaller number of principal components that can account for most of observed variables. The application of PCA in calculating NGISI consists of multiple steps.
Step 1: Indicator normalization. Normalization is carried out when observed variables are in different dimensions. They will be divided into two groups—positive and negative indicators—according to their characteristics. Positive indicators are defined as indicators where high numerical values indicate higher goal fulfillment. Negative indicators are inversely proportional to goal fulfillment. All indicators are normalized on the interval [0, 1] according to the Equations (1) and (2), where 0 implies the minimum and 1 represented the maximum level for NGISI.
Step 2: Covariance matrix (R) of indicators. The covariance matrix (
R) represents the interrelations of the indicators. If an element of this matrix is close to 1 (or −1) then the corresponding indicators are strongly related positively (or negatively), meaning that only one of them can be considered a variable. Assume that the normalization data is expressed in terms of
X, the correlation coefficient of can be calculated with Equation (3). In this paper, the software SPSS17.0 was used for calculations.
Step 3: Computing the eigenvalues and eigenvectors. Based on the covariance matrix of the normalized indicators, eigenvalues can be obtained with Equation (4):
where
R represents the indicators correlation matrix,
depicts the eigenvalues,
I is the unit matrix. The largest eigenvalue is the one that holds the most variation, while smaller eigenvalues are usually ignored to simplify the problem. Solving these equations, one obtains several eigenvalues that allow a matrix equation to be formulated. Finally, the corresponding eigenvectors can be obtained by solving Equation (5):
where
Fj is the matrix of the eigenvector corresponding to the
eigenvalue.
Step 4: Confirming Principal Components. The principal component variables are determined by the cumulative variance contributions, which can be calculated by the proportion of the one eigenvalue with the sum of all eigenvalues, as shown in Equation (6). If the cumulative variance of the first
j exceeds 80%, the first
i principal components will be retained. By calculating, the outcome of total variance is explained and a component matrix can be produced.
Step 5: Constructing the Natural Gas Industry Sustainability Index (NGISI). The corresponding coefficient of each variable in the principal components can be calculated by dividing the eigenvectors by the square root of corresponding eigenvalues. Then, one get
j expressions
F1,
F2, …,
Fj corresponding to
j principal components. Finally, the NGISI can be calculated by using the variances of the Principal Components as weights. The details are shown in Equation (7):
where
k represents the year,
NGISIk is the Natural Gas Industry Sustainability Index of year
k and
is the multiplication of an eigenvalue with its corresponding principal components. A rearrangement of the weighted components of NGISI enables determination of the final score (−1 to1).
4. Results
Based on the principle that the data variables should be systematic, available, quantified and operable, we consulted industrial experts and selected 14 representative indicators, of which each can highlight one aspect features of the five parts (supply, utilization, enterprise, technology and policy) to assess the sustainability of China’s gas industry. Fourteen indicators for a capacity assessment of gas industrial development from 2008 to 2013 were selected and divided into two types: quantitative variables and qualitative variables. For the quantitative variables, the data can be obtained from relevant organizations such as the Chinese National Bureau of Statistics (NBS) [
47], China Petroleum and Chemical Industry Federation (CPCIF) [
48], the Ministry of Commerce (MC) [
49], General Administration of Customs (GAC) [
50] and other energy research institutions. Qualitative variables, such as preferential policy, were obtained by consulting experts and scholars using a Delphi method with the scores between 0 and 10 [
51]. Delphi is based on the principle that decisions from a structured group of individuals are more accurate than those from unstructured groups. Delphi has been widely used for business decisions and has certain advantages over another structured decisions approach, prediction markets. Therefore, in this thesis, the Delphi method has been used to assess the preferential policy effort of the gas industry in China to get an objective result. These 14 indicators can be found in
Table 3. Based on step 1, the indicator data from 2008 to 2013 should be normalized. The normalized values are presented in the
Table 4. Based on steps 2–3, the correlation matrix
R, eigenvalues, and eigenvectors are calculated. The results are shown in
Table 5 (eigenvalues) and
Table 6 (eigenvectors).
Table 3.
Selected indicators.
Table 3.
Selected indicators.
Indicators | Measurement |
---|
Reserve Replacement Ratio (M1) | New net reserve/total gas production |
Production (M2) | Billion cubic meters/year |
Imports (M3) | Billion cubic meters/year |
Pipelines transportation capacity (M4) | Billion cubic meters |
Gas storage (M5) | Billion cubic meters |
Consumption growth rate (M6) | Consumption growth/Total consumption |
Consumption intensity (M7) | Total consumption/GDP |
Price level (M8) | Yuan/cubic meters |
Net profits (M9) | Billion yuan |
Return on investment (M10) | Net profit/total investment |
Investment cost of technology (M11) | Billion yuan |
Scientific and technical achievements (M12) | Application projects/total research projects |
Market concentration (M13) | Market shares of three gigantic Chinese oil companies |
Preferential policy effort (M14) | Score 0–10 |
Table 4.
Normalized indicators.
Table 4.
Normalized indicators.
| 2008 | 2009 | 2010 | 2011 | 2012 | 2013 |
---|
NM1 | 0.75 | 0.62 | 0.67 | 0.68 | 1.00 | 0.00 |
NM2 | 0.00 | 0.13 | 0.40 | 0.68 | 0.81 | 1.00 |
NM3 | 0.00 | 0.09 | 0.25 | 0.56 | 0.75 | 1.00 |
NM4 | 0.00 | 0.09 | 0.25 | 0.58 | 0.62 | 1.00 |
NM5 | 0.00 | 0.00 | 0.06 | 0.09 | 0.13 | 1.00 |
NM6 | 0.46 | 0.00 | 0.89 | 1.00 | 0.24 | 0.46 |
NM7 | 0.20 | 0.25 | 0.00 | 0.36 | 0.70 | 1.00 |
NM8 | 1.00 | 0.83 | 0.70 | 0.25 | 0.00 | 0.06 |
NM9 | 0.01 | 0.00 | 0.70 | 0.93 | 0.70 | 1.00 |
NM10 | 0.55 | 0.00 | 0.92 | 0.69 | 0.65 | 1.00 |
NM11 | 0.00 | 0.29 | 0.43 | 0.59 | 0.82 | 1.00 |
NM12 | 0.00 | 0.49 | 0.69 | 0.75 | 0.79 | 1.00 |
NM13 | 0.00 | 0.14 | 0.44 | 0.72 | 0.51 | 1.00 |
NM14 | 0.00 | 0.29 | 0.57 | 0.64 | 0.86 | 1.00 |
Table 5.
Calculation of eigenvalues.
Table 5.
Calculation of eigenvalues.
| F1 | F2 | F3 |
---|
Eigenvalue | 10.35 | 1.79 | 1.25 |
Variability (%) | 73.94 | 12.76 | 8.94 |
Cumulative (%) | 73.94 | 86.70 | 95.64 |
Table 6.
Calculation of eigenvectors.
Table 6.
Calculation of eigenvectors.
| F1 | F2 | F3 |
---|
M1 | −0.14 | −0.96 | −0.11 |
M2 | 0.94 | 0.24 | 0.24 |
M3 | 0.93 | 0.32 | 0.13 |
M4 | 0.89 | 0.41 | 0.19 |
M5 | 0.52 | 0.84 | 0.06 |
M6 | 0.00 | −0.07 | 0.98 |
M7 | 0.79 | 0.49 | −0.26 |
M8 | −0.98 | −0.07 | −0.10 |
M9 | 0.78 | 0.17 | 0.60 |
M10 | 0.41 | 0.31 | 0.74 |
M11 | 0.95 | 0.27 | 0.10 |
M12 | 0.87 | 0.21 | 0.22 |
M13 | 0.80 | 0.42 | 0.40 |
M14 | 0.94 | 0.21 | 0.21 |
In
Table 5, the first three eigenvalues are all greater than 1 with values of 10.35, 1.79, and 1.25 respectively. Furthermore, the cumulative variance contributions of these eigenvalues reach 95.64%, implying that they contain the vast majority of information. Therefore, the first three principal components (
F1,
F2,
F3) corresponding to three eigenvalues of
,
,
should be retained. In addition, as presented in
Table 6, the results indicate that the variables of
M2,
M3,
M4,
M7,
M8,
M9,
M11,
M12,
M13 and
M14 have an evident correlation and the principal component of
F1 contains most of the information of these indicators. For
M1 and
M5, there is overlapping information described by the second principal component,
F2.
M6,
M9 and
M10 are also correlated and described by the third principal component,
F3.
The corresponding coefficient of each variable in the three principal components can be calculated by dividing the eigenvectors from
Table 4 by the square root of corresponding eigenvalues. Three expressions are obtained (Equations (8)–(10)). Finally, the Natural Gas Industry Sustainability Index can be calculated using Equation (7) and is illustrated in
Figure 2.
Figure 2.
Natural gas industrial sustainability index of China from 2008 to 2013.
Figure 2.
Natural gas industrial sustainability index of China from 2008 to 2013.
5. Discussion
The NGISI of China presents an increasing tendency from 2008 to 2013, rising from −0.074 to a high point of 0.071 (
Figure 2). It shows that the natural gas industry in China has an increasingly strong sustainable development capacity. Since 2008, the Chinese government has stimulated the gas industry with a series of preferential policies, such as increasing investment for gas exploration and pipeline construction, improving gas prices and similar. Furthermore, high oil prices have made natural gas more attractive than oil for many companies whose behaviors have helped to drive NGISI upwards year by year. Moreover, affected by the macroeconomic recession in 2009 and 2013, the gas consumption and corporate profits of China were reduced, which made the gas industry experience a small reduction in growth rate.
Closer analysis of the eigenvectors, principal components and normalized indicators from
Table 4 reveals that the indicators
M2,
M3,
M4,
M5,
M11,
M12,
M13 and
M14 positively impact the gas industry's development. The indicator
M8 shows that gas price has a negative correlation with increased industry sustainability and a high price is not helpful for stimulating gas consumption. Furthermore, the factors of reserve replacement ratio
M1 declined rapidly in 2013, reducing the growth rate of the NGISI.
Finally, the average contributions of each indicator can be calculated to measure the impact of each indicator on the gas industry’s sustainable development (
Figure 3). It can be seen that the five largest contribution indicators are the reserve replacement ratio (
M1, 12.82%), gas price (
M8, 10.48%), production (
M2, 9.71%), return on investment (
M10, 8.41%), and consumption growth rate (
M6, 8.01%). Their total contributions to NGISI are nearly 50% and they should be the focus points for future studies. Reserve replacement ratio represents the sustainability of gas resources, which acts as the foundation of the gas industry, so it is the biggest contributor to gas industrial development. The factors of gas price, production and consumption growth rate reflect the status of market supply-demand together; only when supply and demand continue to grow and reach market equilibrium can the gas industry develop sustainably. Thus, the three factors contribute greatly to gas industrial sustainability. Improving return on investment is the ultimate goal of gas enterprise. High return on investment can stimulate gas companies to increase investment and boost the whole industry. Therefore, return on investment is also one of the most important factors and greatly contributes to the gas industry’s development. Based on the above results, it can be concluded that the factors of market supply-demand and basic resources are more important than the factors of technology and policy. Gas storage (
M5, 3.17%) and imports (
M3, 5.35%) have the smallest influence on the NGISI. This is mainly because the construction of gas storage has just begun and the status of gas import dependence is still safe. However, the gas stockpile will reach a certain size and gas imports will continue to increase in the future. As the gas industry matures in China, these two factors are likely to play a greater role in gas industry development.
Figure 3.
Average contributive ratios of each indicator.
Figure 3.
Average contributive ratios of each indicator.
6. Conclusions and Policy Suggestions
Natural gas has become increasingly important to the Chinese energy supply, especially in the last few years. The Chinese government has launched a series of programs and policies to encourage further development of the natural gas industry. Therefore, it is valuable to study the issue of how to achieve sustainable development of China’s natural gas industry. In this thesis, the theoretical framework of gas industry sustainability has been discussed and analyzed through five aspects: resources, market, enterprise, technology, and policy. A Natural Gas Industry Sustainability Index (NGISI) has been established using the PCA method to conduct an empirical assessment of China’s gas industry from 2008 to 2013.
The results indicate that the natural gas industry of China is improving its sustainable development capacity, although there are still issues to be resolved. Some factors, including reserve replacement ratio, gas price, production, return on investment and consumption growth rate, make a significant contribution to the gas industry's development and should be emphasized in the future. The results help us understand the natural gas industry's development status in China and provide support for decision makers.
Based on the results, some suggestions for gas industry development are summarized as follows: (1) reinforce of natural gas exploration, which should not be limited to just conventional gas, but should also include shale gas, coal gas, tight gas and other unconventional gas sources, to provide sufficient gas reserves for future exploitation [
52]; (2) increase investment and accelerate construction of gas pipelines and infrastructure to improve industrial chains; (3) stress the importance of diversification in gas imports, including pipeline gas and liquefied gas, and improving gas storage capacities to prevent supply interruptions; (4) accelerate research and implementation of technologies and improve the management and operational efficiency of gas companies to reduce the production cost; (5) speed up the reformation of gas pricing and distribution to gradually adjust gas prices to a suitable market level as well as strengthening market vitality and economic efficiency [
53].
However, some deficiencies need to be improved and perfected in this paper. We should consider more factors and use several composite indicators as one part, such as the Shannon index [
54], the S/D index [
55], and the oil vulnerability index [
56], to assess the sustainability of the gas industry in future research.