Pub Date : 2021-04-01DOI: 10.21078/JSSI-2021-154-21
Zehui Ge, Z. Ren, Q. Hu, Yiheng Jia
Abstract Uncertainty is a main source of opportunistic behaviors in research and development cooperations, which challenges strategic decisions ranging from investments to operations. To avoid opportunism arising in cooperations, commitments (either formal contracts or informal communications) are generally made in advance by members of an alliance. However, how does a commitment encourage R&D investments and ultimately enhance the total performance, without loss of flexibility in ex post operations? This study attempts to answer this by investigating a bounded commitment in the context of vertical collaborations in a supply chain. In this exploratory study, a 3-stage game model is used (by backward induction) to examine a two-echelon supply chain under a bounded commitment in NPD. Our analysis shows that upstream R&D investment is stimulated more and that both members are better off under the bounded commitment. At the same time, when the relative bargaining power between the supplier and the manufacturer falls into an appropriate area, it is possible to reach a bounded commitment, and the manufacturer is more sensitive to this relationship. Finally, the bounded commitment restrains opportunistic behaviors, but there is no strong sign that an increase in the ratio of the order outside the chain to the inside one can make firms better.
{"title":"A Bounded Commitment in Vertical Collaborations of New Product Development","authors":"Zehui Ge, Z. Ren, Q. Hu, Yiheng Jia","doi":"10.21078/JSSI-2021-154-21","DOIUrl":"https://doi.org/10.21078/JSSI-2021-154-21","url":null,"abstract":"Abstract Uncertainty is a main source of opportunistic behaviors in research and development cooperations, which challenges strategic decisions ranging from investments to operations. To avoid opportunism arising in cooperations, commitments (either formal contracts or informal communications) are generally made in advance by members of an alliance. However, how does a commitment encourage R&D investments and ultimately enhance the total performance, without loss of flexibility in ex post operations? This study attempts to answer this by investigating a bounded commitment in the context of vertical collaborations in a supply chain. In this exploratory study, a 3-stage game model is used (by backward induction) to examine a two-echelon supply chain under a bounded commitment in NPD. Our analysis shows that upstream R&D investment is stimulated more and that both members are better off under the bounded commitment. At the same time, when the relative bargaining power between the supplier and the manufacturer falls into an appropriate area, it is possible to reach a bounded commitment, and the manufacturer is more sensitive to this relationship. Finally, the bounded commitment restrains opportunistic behaviors, but there is no strong sign that an increase in the ratio of the order outside the chain to the inside one can make firms better.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132798829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.21078/JSSI-2021-175-17
Xiangyu Zhu, Yang Yang
Abstract In this study, the key drivers of sustainability commitment, green supply chain management, big data integration and green human resource practice are explored, and the impact of these sustainable capabilities on the environmental and financial performance of banks is also elaborated. In addition, the influence of green management practices on integrating big data technology into operations is presented. As for the concept of dynamic ability, it has been used to recommend and empirically test conceptual models. Data were collected through a self-administrated survey questionnaire on 317 people working in 37 banks in six Asian countries. Research suggests that big data analytics strategies have an impact on internal processes and on the stability and financial performance of banks. Besides, it is indicated that banks are committed to proper data monitoring of their customers to complete operational efficiency and sustainability goals. Furthermore, our result proved that banks practicing Green Innovation strategies experience better environmental and economic performance because their employees are already trained in Green HR. Finally, from our study, it was found that internal and external green supply chain management practices have a positive effect on the environmental and financial performance of banks, thus ensuring that the bank of Association of Southeast Asian Nations (ASEAN) mitigates the environmental impact through its operations and ultimately experiences an increase in financial performance.
{"title":"Big Data Analytics for Improving Financial Performance and Sustainability","authors":"Xiangyu Zhu, Yang Yang","doi":"10.21078/JSSI-2021-175-17","DOIUrl":"https://doi.org/10.21078/JSSI-2021-175-17","url":null,"abstract":"Abstract In this study, the key drivers of sustainability commitment, green supply chain management, big data integration and green human resource practice are explored, and the impact of these sustainable capabilities on the environmental and financial performance of banks is also elaborated. In addition, the influence of green management practices on integrating big data technology into operations is presented. As for the concept of dynamic ability, it has been used to recommend and empirically test conceptual models. Data were collected through a self-administrated survey questionnaire on 317 people working in 37 banks in six Asian countries. Research suggests that big data analytics strategies have an impact on internal processes and on the stability and financial performance of banks. Besides, it is indicated that banks are committed to proper data monitoring of their customers to complete operational efficiency and sustainability goals. Furthermore, our result proved that banks practicing Green Innovation strategies experience better environmental and economic performance because their employees are already trained in Green HR. Finally, from our study, it was found that internal and external green supply chain management practices have a positive effect on the environmental and financial performance of banks, thus ensuring that the bank of Association of Southeast Asian Nations (ASEAN) mitigates the environmental impact through its operations and ultimately experiences an increase in financial performance.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123278622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.21078/JSSI-2021-131-23
Aristide Gbame Choki, Qiuhong Zhao
Abstract This paper analyzes the perceptions that workers in the Ivorian industrial sector have as the interface between their professional and personal life, and the factors that facilitate or make it difficult. Data collected from 4 Ivorian industrial companies which represent a sample of 187 respondents according to the selection criteria. These collected data make it possible to identify the factors which act on the labor conflict towards the family as well as the factors which act on the family conflict towards the work within the industrial sector in Cte d’Ivoire. The results of the correlation coefficients show that the relationships between the proposed variables are significant and in the direction suggested for the most part, thus providing support for nine of the ten hypotheses affecting these relationships. According to some results obtained, it was discovered that certain factors could be at the same time, factors of conflict and satisfaction, such as the commitment to work or the nature of the work. These variables can simultaneously increase stress, and increase the self-esteem of the worker. The results of the analysis of the proposed model recommend the possibility that the data fit the model well, explaining the impacts of work, non-work and stressors on work-family conflict. This indicates that the proposed model is adapted to the Ivorian context.
{"title":"Analysis of the Impacts of Work, Non-Work and Stress Issues on the Work Family Conflict in Ivorian Industrial Sector","authors":"Aristide Gbame Choki, Qiuhong Zhao","doi":"10.21078/JSSI-2021-131-23","DOIUrl":"https://doi.org/10.21078/JSSI-2021-131-23","url":null,"abstract":"Abstract This paper analyzes the perceptions that workers in the Ivorian industrial sector have as the interface between their professional and personal life, and the factors that facilitate or make it difficult. Data collected from 4 Ivorian industrial companies which represent a sample of 187 respondents according to the selection criteria. These collected data make it possible to identify the factors which act on the labor conflict towards the family as well as the factors which act on the family conflict towards the work within the industrial sector in Cte d’Ivoire. The results of the correlation coefficients show that the relationships between the proposed variables are significant and in the direction suggested for the most part, thus providing support for nine of the ten hypotheses affecting these relationships. According to some results obtained, it was discovered that certain factors could be at the same time, factors of conflict and satisfaction, such as the commitment to work or the nature of the work. These variables can simultaneously increase stress, and increase the self-esteem of the worker. The results of the analysis of the proposed model recommend the possibility that the data fit the model well, explaining the impacts of work, non-work and stressors on work-family conflict. This indicates that the proposed model is adapted to the Ivorian context.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128128053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.21078/JSSI-2021-105-26
H. Huang, Hui Wang, Zexin Wei, Jiawei Xia, Shunming Zhang
Abstract This paper builds a theoretical framework of two-period general equilibrium model to explore whether 1) the restrictions of the Islamic financial system (RIFS) limit economic development in Xinjiang and 2) counterpart financial support for Xinjiang (CFSX) promotes economic development and social stability. First, we introduce above mentioned restrictions caused by Islamic beliefs into a general equilibrium model and modify Islamic agents’ budget constraints to define the benchmark equilibrium. Comparing the benchmark equilibrium with the perfect equilibrium, in which these restrictions are removed, we discover the RIFS paradox that RIFS undermine the social welfare and income of Muslims. Second, the financial support is introduced into the pattern of benchmark equilibrium as an exogenous variable to model its impact and hence we define the CFSX equilibrium. A series of policy analyses implies that the CFSX strategy improves living standards and social welfare in Xinjiang.
{"title":"Restrictions of the Islamic Financial System and Counterpart Financial Support for Xinjiang","authors":"H. Huang, Hui Wang, Zexin Wei, Jiawei Xia, Shunming Zhang","doi":"10.21078/JSSI-2021-105-26","DOIUrl":"https://doi.org/10.21078/JSSI-2021-105-26","url":null,"abstract":"Abstract This paper builds a theoretical framework of two-period general equilibrium model to explore whether 1) the restrictions of the Islamic financial system (RIFS) limit economic development in Xinjiang and 2) counterpart financial support for Xinjiang (CFSX) promotes economic development and social stability. First, we introduce above mentioned restrictions caused by Islamic beliefs into a general equilibrium model and modify Islamic agents’ budget constraints to define the benchmark equilibrium. Comparing the benchmark equilibrium with the perfect equilibrium, in which these restrictions are removed, we discover the RIFS paradox that RIFS undermine the social welfare and income of Muslims. Second, the financial support is introduced into the pattern of benchmark equilibrium as an exogenous variable to model its impact and hence we define the CFSX equilibrium. A series of policy analyses implies that the CFSX strategy improves living standards and social welfare in Xinjiang.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123990890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.21078/JSSI-2021-192-11
Xin Zhang, Zhaopeng Ding, Yanxia Liu
Abstract The time-dependent solution of a kind of supply chain system with the multi-suppliers and single demander is investigated in this paper. By choosing state space and defining operator of system, we transfer model into an abstract Cauchy problem. We are devoted to studying the unique existence of the system solution and its exponential stability by using the theory of C0-semigroup. We prove that the system operator generates C0-semigroup by the theory of cofinal operator and resolvent positive operator. We derive that the system has a unique nonnegative dynamic solution exponentially converging to its steady-state one which is the eigenfunction corresponding eigenvalue 0 of the system operator.
{"title":"Reliability Analysis of Supply Chain System with the Multi-Suppliers and Single Demander","authors":"Xin Zhang, Zhaopeng Ding, Yanxia Liu","doi":"10.21078/JSSI-2021-192-11","DOIUrl":"https://doi.org/10.21078/JSSI-2021-192-11","url":null,"abstract":"Abstract The time-dependent solution of a kind of supply chain system with the multi-suppliers and single demander is investigated in this paper. By choosing state space and defining operator of system, we transfer model into an abstract Cauchy problem. We are devoted to studying the unique existence of the system solution and its exponential stability by using the theory of C0-semigroup. We prove that the system operator generates C0-semigroup by the theory of cofinal operator and resolvent positive operator. We derive that the system has a unique nonnegative dynamic solution exponentially converging to its steady-state one which is the eigenfunction corresponding eigenvalue 0 of the system operator.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133082926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-01DOI: 10.21078/JSSI-2021-074-21
Meiting Hu, Jichang Dong, Lijun Yin, Chun Meng, Xiuting Li
Abstract Scholars have a variety of theoretical explanations for housing price growth. However, few scholars have studied the internal influence mechanism among urbanization, land finance, and housing price. Based on the data of 182 prefecture-level cities from 2009 to 2016, this paper studies the influence of land finance on housing price under different urbanization rate levels. The study finds that with the increase of urbanization rate, the effect of land finance on housing price presents a “U” shape. Specifically, an increase in land finance by 1% results in a corresponding increase in average housing price by 0.18%, with relatively low urbanization rate, 0.06% with medium level of urbanization rate, and 0.38% with high level of urbanization rate.
{"title":"A Study on the Relationship Between Land Finance and Housing Price in Urbanization Process: An Empirical Analysis of 182 Cities in China Based on Threshold Panel Models","authors":"Meiting Hu, Jichang Dong, Lijun Yin, Chun Meng, Xiuting Li","doi":"10.21078/JSSI-2021-074-21","DOIUrl":"https://doi.org/10.21078/JSSI-2021-074-21","url":null,"abstract":"Abstract Scholars have a variety of theoretical explanations for housing price growth. However, few scholars have studied the internal influence mechanism among urbanization, land finance, and housing price. Based on the data of 182 prefecture-level cities from 2009 to 2016, this paper studies the influence of land finance on housing price under different urbanization rate levels. The study finds that with the increase of urbanization rate, the effect of land finance on housing price presents a “U” shape. Specifically, an increase in land finance by 1% results in a corresponding increase in average housing price by 0.18%, with relatively low urbanization rate, 0.06% with medium level of urbanization rate, and 0.38% with high level of urbanization rate.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125317893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-01DOI: 10.21078/JSSI-2021-001-15
Christian Hugo Hoffmann
Abstract While blockchain technology is commonly considered potentially disruptive in various regards, there is a lack of understanding where and how blockchain technology is effectively applicable and where it has remarkable practical effects[1]. Against this background, we present and discuss a case study at length on the impact of this technology in the concrete setting of small short-term loans in retail banking. We propose to banks a robust and scalable blockchain technology with proof of stake and limited energy consumption used to streamline their processes, resulting in lower transaction and administration costs. This is made possible by smart contracts. Thereby, we facilitate small scale lending at high frequencies and short-term duration as well as an easier and more efficient way to connect small borrowers and lenders.
{"title":"Blockchain Use Cases Revisited: Micro-Lending Solutions for Retail Banking and Financial Inclusion","authors":"Christian Hugo Hoffmann","doi":"10.21078/JSSI-2021-001-15","DOIUrl":"https://doi.org/10.21078/JSSI-2021-001-15","url":null,"abstract":"Abstract While blockchain technology is commonly considered potentially disruptive in various regards, there is a lack of understanding where and how blockchain technology is effectively applicable and where it has remarkable practical effects[1]. Against this background, we present and discuss a case study at length on the impact of this technology in the concrete setting of small short-term loans in retail banking. We propose to banks a robust and scalable blockchain technology with proof of stake and limited energy consumption used to streamline their processes, resulting in lower transaction and administration costs. This is made possible by smart contracts. Thereby, we facilitate small scale lending at high frequencies and short-term duration as well as an easier and more efficient way to connect small borrowers and lenders.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115064223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-01DOI: 10.21078/JSSI-2021-095-10
F. Shao, Hui Liu
Abstract In the era of big data, correlation analysis is significant because it can quickly detect the correlation between factors. And then, it has been received much attention. Due to the good properties of generality and equitability of the maximal information coefficient (MIC), MIC is a hotspot in the research of correlation analysis. However, if the original approximate algorithm of MIC is directly applied into mining correlations in big data, the computation time is very long. Then the theoretical time complexity of the original approximate algorithm is analyzed in depth and the time complexity is n2.4 when parameters are default. And the experiments show that the large number of candidate partitions of random relationships results in long computation time. The analysis is a good preparation for the next step work of designing new fast algorithms.
{"title":"The Theoretical and Experimental Analysis of the Maximal Information Coefficient Approximate Algorithm","authors":"F. Shao, Hui Liu","doi":"10.21078/JSSI-2021-095-10","DOIUrl":"https://doi.org/10.21078/JSSI-2021-095-10","url":null,"abstract":"Abstract In the era of big data, correlation analysis is significant because it can quickly detect the correlation between factors. And then, it has been received much attention. Due to the good properties of generality and equitability of the maximal information coefficient (MIC), MIC is a hotspot in the research of correlation analysis. However, if the original approximate algorithm of MIC is directly applied into mining correlations in big data, the computation time is very long. Then the theoretical time complexity of the original approximate algorithm is analyzed in depth and the time complexity is n2.4 when parameters are default. And the experiments show that the large number of candidate partitions of random relationships results in long computation time. The analysis is a good preparation for the next step work of designing new fast algorithms.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125168178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-01DOI: 10.21078/JSSI-2021-016-29
Weiqing Zhuang, Morgan C. Wang, I. Nakamoto, Ming Jiang
Abstract Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006, deeply affects the development of global e-commerce, especially its layout and performance in the U.S. and China. This paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the U.S. and China by adopting a statistical analysis method on the basis of samples collected from two main literature databases, Web of Science and CNKI, aimed at the U.S. and China. The results of this study help clarify doubts regarding the development of China’s e-commerce, which exceeds that of the U.S. today, in view of the theoretical comparison of BDA in e-commerce between them.
电子商务中的大数据分析(Big data analytics, BDA)是2006年兴起的新兴领域，深刻影响着全球电子商务的发展，尤其是在美国和中国的布局和表现。本文以Web of Science和CNKI两大针对美国和中国的文献数据库为样本，采用统计分析方法，考察BDA理论研究在电子商务中的相对影响力，以解释中美之间的差异。通过对电子商务中BDA的理论比较，本研究的结果有助于澄清目前中国电子商务发展超过美国的疑问。
{"title":"Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing","authors":"Weiqing Zhuang, Morgan C. Wang, I. Nakamoto, Ming Jiang","doi":"10.21078/JSSI-2021-016-29","DOIUrl":"https://doi.org/10.21078/JSSI-2021-016-29","url":null,"abstract":"Abstract Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006, deeply affects the development of global e-commerce, especially its layout and performance in the U.S. and China. This paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the U.S. and China by adopting a statistical analysis method on the basis of samples collected from two main literature databases, Web of Science and CNKI, aimed at the U.S. and China. The results of this study help clarify doubts regarding the development of China’s e-commerce, which exceeds that of the U.S. today, in view of the theoretical comparison of BDA in e-commerce between them.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127100906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-01DOI: 10.21078/JSSI-2021-045-16
Jingxin Gao, Yunong Chen, Xiaoyang Zhong, Xianrui Ma
Abstract The construction industry is one of the largest energy consumers in China. It not only uses energy directly but also consumes a large amount of embodied energy hidden in intermediate goods and services from other industries. This paper utilizes the multi-regional input-output (MRIO) model to measure the embodied energy consumption in China’s construction industry at the province level. To quantify the backward and forward linkages between the construction industry and other industries, the energy-driven and energy-driving abilities of the construction industry are investigated for 30 provinces. The results show that the values of the energy-driven coefficients are significantly larger than the energy-driving coefficients, indicating that the construction industry is highly dependent on products from other industries and other regions, not vice versa. The construction industries in the southwest and northwest regions of China have the highest energy-driven coefficients, showing that the construction industries in west China heavily rely on indirect energy embodied in goods and services. This particularly applies in Guangxi and Hainan provinces, which have the highest energy-driven abilities and the lowest energy-driving abilities. The findings can facilitate the policy-makers to examine the critical energy-saving paths.
{"title":"Energy Consumption in China’s Construction Industry: Energy Driving and Driven Abilities from a Regional Perspective","authors":"Jingxin Gao, Yunong Chen, Xiaoyang Zhong, Xianrui Ma","doi":"10.21078/JSSI-2021-045-16","DOIUrl":"https://doi.org/10.21078/JSSI-2021-045-16","url":null,"abstract":"Abstract The construction industry is one of the largest energy consumers in China. It not only uses energy directly but also consumes a large amount of embodied energy hidden in intermediate goods and services from other industries. This paper utilizes the multi-regional input-output (MRIO) model to measure the embodied energy consumption in China’s construction industry at the province level. To quantify the backward and forward linkages between the construction industry and other industries, the energy-driven and energy-driving abilities of the construction industry are investigated for 30 provinces. The results show that the values of the energy-driven coefficients are significantly larger than the energy-driving coefficients, indicating that the construction industry is highly dependent on products from other industries and other regions, not vice versa. The construction industries in the southwest and northwest regions of China have the highest energy-driven coefficients, showing that the construction industries in west China heavily rely on indirect energy embodied in goods and services. This particularly applies in Guangxi and Hainan provinces, which have the highest energy-driven abilities and the lowest energy-driving abilities. The findings can facilitate the policy-makers to examine the critical energy-saving paths.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114994674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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