Russian and Chinese Natural Gas Industries: Perspectives on Sustainable Growth

Zhen, Wang; Kleiner, G.; Bragina, Zinaida; Denisov, Artem; Steblyanskaya, Alina

doi:10.1080/01900692.2019.1645692

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…ATO, ROA, TAG and FL give no significant effect toward SGR in both models. This results also supported by Arora et al (2018) and Wang et al (2019) pointing out that ROE has positive and significant impacts toward SGR. Exceedingly high ROA, ATO and TAG can indicated the inefficient use of assets.…”

Section: Resultssupporting

confidence: 68%

“…Furthermore, Platt, Platt and Chen (1995) extended the research towards firms in financial distress by developing a formula that calculate how much growth can be achieved without external debt and maintain capital structure. By the time, Gardner, McGowan Jr & Moeller et al (2011) describe various calculations of SGR, while Wang et al (2019) highlight the influence of SGR that takes into account of social, energy and environmental factors in the scope of oil and gas industry. Fonseka et al (2012) point out that there are several models formulated by different researchers regarding SGR's calculation.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Growth Rate Model in Indonesia Manufacturing Firms

Nugroho

2020

The Winners

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Regarding the importance of Sustainable Growth Rate (SGR) calculation for firms as a basic of financial decision, many previous studies had highlighted the variability of SGR calculation. The research’s first objective focused on two methods of SGR calculation and figured out the determinant factors (internal and external) that affect firm’s SGR. One method focused on different determinants of SGR when industry or firm specific aspects were considered. Whereas, SGR (II) focused on determinant of SGR when firms are reluctant to issue new equity. The second objective was to investigate the determinant factors towards SGR in both models. Sample for the research was public-listed manufacturing firms in Indonesia from 2011 to 2019. The result shows that there is significant difference between the two methods, and not to mention that Return on Equity (ROE) becomes the only factor that affect SGR (in both models). The implication is due to the limited amount of time, so the research can only compare two different method of SGR.

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Section: Resultssupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Sustainable Growth Rate Model in Indonesia Manufacturing Firms

Nugroho

2020

The Winners

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“…Take a non-melt industry for example, China exports major metals and nonmetallic primary minerals such as rare earths at much lower price, and then bought imported finished products at very high price. Compared with other countries, for example, Russia, there are mining-oriented regions, for example Kuzbas, and there are regions oriented to the final processing, for example Vologda [50,51]. For this reasons Russia has strong interregional flows, however, in China there are few longer value chain flows between Provinces.…”

Section: Resultsmentioning

confidence: 99%

Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential

et al. 2020

Self Cite

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Complexity modelling of economic efficiency and growth potential is increasingly essential for countries and provinces. Evaluating the monetary flows, kinetic energy (efficiency) and potential capacity (resilience) provides crucial information for economic development. In the paper, the authors analyze growth opportunities for the Chinese economy from a system science point of view, using the perspective of information entropy, based on the input-output tables. Over the past four decades of reform and opening-up, China has made remarkable progress in its economic development. In 2007, China's GDP was at its fastest pace in history at 14.2% growth. However, after the financial crisis in 2008, the global economy experienced a downward trend and China's economic development also settled on a medium-low level of development. The traditional perspective is to rank regional development only based on GDP growth, whereas here, the authors advocate another evaluation method based on efficiency and potential growth. Unbalanced regional economic development has become problematic and has become a barrier for sustainability of China's economy. The results of the research indicate firstly that China's regional development in 2007 and 2012 has been unequal between the provinces. Secondly, the authors found that Shandong province had significantly higher indicators for efficiency and potential growth than others in the same circumstances. Authors observe that provinces tend to carry out industrial policies and adjust the structure of industry on a local level. This analysis demonstrates that the spatial imbalance of efficiency and potential of economic development under the perspective of provincial-level regions. From the perspective of industry, it indicates that the supply chain is too short, mainly focusing on the mining and processing of resources and minerals in the original upstream industry chain, while the downstream is not fully utilized. These represent some unique insights yielded through this type of analysis that authors advocate applying more broadly.PLOS ONE | https://doi.org/10.1371/journal.pone.0227206 January 28, 2020 1 / 24 OPEN ACCESSCitation: Yan J, Feng L, Denisov A, Steblyanskaya A, Oosterom J-P (2020) Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential. PLoS ONE 15(1): e0227206. https://doi.org/10.

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“…Government departments should improve the GCP system and increase policy implementation efforts. Government departments need to strengthen the supervision of financial institutions in the implementation of GCP and guide and implement risk compensation and incentive mechanisms for green loans to banks, carry out differential incentive measures and provide more financial subsidies to green transformation enterprises [ 65 , 66 ]. In addition, due to the stronger policy effects for non-SOEs, eastern regions and low-market-concentration enterprises, differential credit auditing standards should be developed by comprehensively considering the level of economic development and environmental governance pressures in different industries and regions.…”

Section: Discussionmentioning

confidence: 99%

The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises—Based on the Perspectives of Technological Innovation Level and Credit Resource Allocation

Ding¹,

Jing

et al. 2022

IJERPH

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Green credit policy (GCP), as one of the key financial instruments to achieve ’carbon peaking’ and ‘carbon neutrality’ targets, provides capital support for the green development of enterprises. This paper explores the impact mechanism of GCP on the sustainability performance of heavily polluting enterprises (HPEs) from the perspectives of technological innovation level (TIL) and credit resource allocation (CRA), using panel data for Chinese A-share listed manufacturing companies from 2010 to 2015 to construct a propensity score matching and differences-in-differences (PSM-DID) model. We find that GCP has a causal effect on corporate sustainability performance (CSP). Although GCP significantly improves CSP, there is no long-term effect. Heterogeneity analysis shows that the relationship between GCP and CSP is only significant in non-state-owned enterprises and in eastern and low-market-concentration enterprises. Mechanism tests indicate that GCP stimulates HPEs to invest more in technological innovation and thereby improves CSP through the innovation compensation effect; the credit constraint and information transfer effects caused by GCP reduce the credit resources available to HPEs but have a significant forced effect on CSP. This paper enriches the study of the economic consequences of GCP and provides implications for stakeholders to improve the green financial system and achieve green transformation of HPEs.

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Russian and Chinese Natural Gas Industries: Perspectives on Sustainable Growth

Cited by 4 publications

References 27 publications

Sustainable Growth Rate Model in Indonesia Manufacturing Firms

Sustainable Growth Rate Model in Indonesia Manufacturing Firms

Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential

The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises—Based on the Perspectives of Technological Innovation Level and Credit Resource Allocation

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