{"title":"Pricing Decision of E-Commerce Supply Chains with Return and Online Review of Product Quality","authors":"Yuyan WANG, Luping DING, T.C.E. CHENG, Dexia WANG","doi":"10.21078/jssi-2023-0046","DOIUrl":"https://doi.org/10.21078/jssi-2023-0046","url":null,"abstract":"<p id=\"C1\">The online review function helps consumers grasp more real product information and reduce the possibility of returning, but it may also damage firms' reputations or profits. However, few studies considered the relationship between online reviews and consumer returns. Based on this, we develop an e-commerce supply chain (E-SC) game model consisting of a single manufacturer and a single e-platform, aiming to explore the relationship between consumer returns and online reviews and to analyze the impact on both the decision-making of E-SC members and their profits. We find that there is a negative relationship between consumer returns and online reviews of product quality, and consumer returns make the pricing decisions in the two scenarios of yes/no online reviews move toward two different directions. Only when the online review is positive and higher than a certain threshold will it have a positive impact on sales and E-SC members' profits. Finally, we design a new \"commission joint returns and quality improvement costs sharing\" contract to optimize the decentralized model with online reviews, and we find that the higher the accuracy of product information, the less conducive the contract applied to E-SC.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135400520","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}
{"title":"Carbon Emission Measurement and the Decoupling Effect Under the \"Double Carbon\" Goal in Xi'an, China","authors":"Renquan HUANG","doi":"10.21078/jssi-2023-0043","DOIUrl":"https://doi.org/10.21078/jssi-2023-0043","url":null,"abstract":"<p id=\"C1\">Cities generate more than 60% of carbon emissions and are the main battleground for achieving the target. However, there is no unified and standardized measurement methods of carbon emissions in cities. In this paper, we took Xi'an as an example and started by measuring carbon emissions with the new standards. Then, the decoupling of economic development from carbon emissions was studied according to the Tapio decoupling theory. Based on the generalized Divisia index method, the decoupling effort model was proposed to study the impact of carbon emission factors contributing to carbon reduction. The results show: (ⅰ) During the period 1995–2021, the carbon emissions of Xi'an increased rapidly, with an average annual growth rate of 6.06%, due to the accelerating pace of urbanization and industrialization. (ⅱ) The energy consumption sector accounted for the largest share of carbon emissions, ranging from 77.38% to 89.46%. Xi'an's energy structure is primarily based on fossil fuels, especially coal, which holds a significant proportion. To achieve the \"double carbon\" goal, it is crucial to reduce the dependence on fossil fuels. (ⅲ) The 10th Five-Year Plan was in the state of \"expansive coupling\", while other periods were in the \"weak decoupling\" state from the 9th to 14th Five-Year Plan periods. After the carbon peak year in the 15th Five-Year Plan, it would be in a state of \"strong decoupling\". The agricultural production account was the first to achieve a \"strong decoupling\" state. (ⅳ) The government of Xi'an made efforts to decouple, but these were not enough. Technological innovation played a crucial role in the carbon reduction of Xi'an, and was a key factor in achieving the \"double carbon\" goal.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135559961","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}
{"title":"A Time-Varying Conditional Parameter Distributed Lag Model with an Application to Crude Oil Market","authors":"Amina AILIGENG, Fengbin LU, Shouyang WANG","doi":"10.21078/jssi-2022-0024","DOIUrl":"https://doi.org/10.21078/jssi-2022-0024","url":null,"abstract":"<p id=\"C1\">This paper proposes a new time-varying parameter distributed lag (DL) model. In contrast to the existing methods, which assume parameters to be random walks or regime shifts, our method allows time-varying coefficients of lagged explanatory variables to be conditional on past information. Furthermore, a test for constant-parameter DL model is introduced. The model is then applied to examine time-varying causal effect of inventory on crude oil price and forecast weekly crude oil price. Time-varying causal effect of US commercial crude oil inventory on crude oil price return is presented. In particular, the causal effect of inventory is occasionally positive, which is contrary to some previous research. It's also shown that the proposed model yields the best in and out-of-sample performances compared to seven alternative models including RW, ARMA, VAR, DL, autoregressive-distributed lag (ADL), time-varying parameter ADL (TVP-ADL) and DCB (dynamic conditional beta) models.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135559967","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}
{"title":"Air Pollution, Environmental Regulations and Economic Growth — Estimation of Simultaneous Equations Based on Panel Data of Prefecture-Level Cities","authors":"Ligang Wang, Qi ZHANG, Lin Wang, Xi Zhang","doi":"10.21078/jssi-2021-721-18","DOIUrl":"https://doi.org/10.21078/jssi-2021-721-18","url":null,"abstract":"Abstract The article selects the panel data of 289 prefecture-level and above cities in China from 2003 to 2017, establishes simultaneous equations and uses the 3SLS estimation method to study the relationship between air pollution and economic growth. On the whole, industrial sulfur dioxide and soot emissions have an inverted U-shaped relationship with per capita GDP, and the increase in sulfur dioxide emissions has played a significant role in hindering economic growth. From a regional perspective, the sulfur dioxide emissions in the eastern and western regions conform to the environmental Kuznets curve, and the per capita GDP at the turning point in the western region is significantly lower than the overall national level. The smoke and dust emissions in the eastern, central and western regions all conform to the environmental Kuznets curve, while the per capita GDP at the turning point in the western region is significantly lower than that in the eastern and central regions. In the eastern region, both sulfur dioxide and smoke and dust emissions significantly hinder economic growth, and this hindrance is mainly caused by the spatial transfer of labor. Through further analysis, it is found that environmental regulations can significantly suppress the negative impact of air pollution on economic growth. Finally, the article puts forward some suggestions, such as environmental governance according to local conditions and strengthening environmental regulations.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126104135","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}
{"title":"Investigating the Impact of Capacity Utilization on Carbon Dioxide Emission: Evidence from China’s Iron and Steel Industry","authors":"Ya Chen, Xintian Zhang, Haoxiang Liu","doi":"10.21078/jssi-2021-681-23","DOIUrl":"https://doi.org/10.21078/jssi-2021-681-23","url":null,"abstract":"Abstract In recent years, China’s industrialization and urbanization have deepened, and the economy has grown considerably. But at the same time, they have also brought about many environmental problems. As a pillar of the national economy, the iron and steel (IS) industry is one of the most emitting and energy-consuming sub-sectors of the industrial sector. It is also one of the industries with the most severe overcapacity problem in China. In this paper, we explore the impact of capacity utilization on carbon dioxide emission based on panel data of China’s iron and steel industry from 2005 to 2014. We also tested the heterogeneity in different regions and different sub-samples. Results show that capacity utilization and carbon dioxide emission are positively correlated. However, the impact of capacity utilization on carbon dioxide emission differs when considering regional heterogeneity. Results in all three regions show a positive relationship between capacity utilization and carbon dioxide emission, but the impact intensity is strongest in the western region, followed by the eastern and central regions. Moreover, capacity utilization impacts carbon dioxide emission by influencing firm numbers in the iron and steel industry and energy consumption. Further analysis shows that there exists a threshold effect in different stages of energy consumption and energy structure. Finally, some findings and practical policy recommendations are provided.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122124349","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}
Qing Liu, Yanchao Zhang, Langxing Li, Shuaihang Li
{"title":"The Interactive Impact of Trade Policy Uncertainty and Credit Constraint Heterogeneity on Firms’ Export Margins: Theory and Empirics","authors":"Qing Liu, Yanchao Zhang, Langxing Li, Shuaihang Li","doi":"10.21078/jssi-2021-575-33","DOIUrl":"https://doi.org/10.21078/jssi-2021-575-33","url":null,"abstract":"Abstract This paper develops a simple trade model of heterogeneous firms, which incorporates the dual heterogeneity of credit constraints at the firm and industry levels and reveals the effects of the interaction mechanisms of trade policy uncertainty and credit constraint heterogeneity on exporters’ behaviour. The model confirms that the higher the level of industrial credit constraints, the greater the interaction of trade policy uncertainty and credit constraint heterogeneity, but firms with lower levels of credit constraints within a specific industry are more affected by this interaction. Then, based on the highly dis-aggregated trade data of China’s firms from 2000 to 2013, this paper provides empirical evidence for the main predictions and mechanisms of the theoretical model.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122223447","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}
{"title":"Productivity Analysis for Banks’ Merger and Acquisition Using Two-Stage DEA: Evidence from China","authors":"Jia Li, Ping Wang, Xiangyang Tao, Yao Wen","doi":"10.21078/jssi-2021-627-33","DOIUrl":"https://doi.org/10.21078/jssi-2021-627-33","url":null,"abstract":"Abstract Mergers and acquisitions (M&A) are important parts of banking reform, which can increase the synergies and reduce the costs of the banks. To analyze the effect and importance of the M&A in the reform period, we measure the productivity change of China’s banks who completed M&A during 2004– 2018, by using a two-stage data envelopment analysis (DEA) method. First, we incorporate the process of deposits producing and the process of profit earning as a two-stage structure of bank’s system. Then, we construct a slacks-based measure (SBM) model considering the weak disposability of undesirable outputs to measure the productivity of 14 M&A banks in China. Particularly, we adopt the global Malmquist index (GMI) to evaluate the productivity change of the banks, and analyze the efficiency change (EC) and technical change (TC) for the whole system and individual stages. Additionally, to facilitate making M&A plans, we classify the M&A banks to obtain the process they need to improve and the trend they could adopted: (i) We classify them into four categories by the productivity of two individual stages; (ii) We also classify them into four categories by EC and TC. Finally, the policy recommendations for M&A banks are given.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115932874","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}
H. Ma, Baoxia Geng, Yingxiong Fu, Yi-gong Sun, Zhaoqun Sun
{"title":"Efficiency Analysis of Industrial Water Treatment in China Based on Two-stage Undesirable Fixed-sum Output DEA Model","authors":"H. Ma, Baoxia Geng, Yingxiong Fu, Yi-gong Sun, Zhaoqun Sun","doi":"10.21078/jssi-2021-660-21","DOIUrl":"https://doi.org/10.21078/jssi-2021-660-21","url":null,"abstract":"Abstract China is a country with the most water consumption, so it is lack of water resources. Industry has brought serious water pollution while driving economic development, which leads to the destruction of ecological environment. With the improvement of environmental awareness, many scholars have shifted their research direction to how to improve the ecological environment. Most studies consider the whole system as a “black box”, regardless of its internal structure. Therefore, a method to identify inefficiency is necessary and some suggestions for optimization are given. In this paper, a two-stage undesirable fixed-sum output data envelopment analysis (DEA) model is proposed. The industrial chemical oxygen demand (COD) emission during 2011–2015 are adjusted, and the efficiency values are calculated by heuristic search algorithm. The efficiency of 30 provinces and cities is divided into eastern, central and western regions. The model can identify the inefficient stage in industrial system, and find the source of low efficiency in the system. The analysis shows that the efficiency of eastern region is the highest, while the overall efficiency is inclined to the pollutant treatment stage. Finally, the paper puts forward some suggestions for the low efficiency areas, which can save water while ensuring economic benefits, and provide new direction for water pollution reduction and improve the ecological environment.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126239562","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}
{"title":"Dynamic Evaluation and Analysis of Regional Innovation Capability in Eastern China from the Perspective of High-quality Development","authors":"Linming Xu, Jin Lu, Meijuan Li, Lerong He","doi":"10.21078/jssi-2021-608-19","DOIUrl":"https://doi.org/10.21078/jssi-2021-608-19","url":null,"abstract":"Abstract The economy of China has turned to the stage of high-quality development. In this sense, the connotation of regional innovation capacity should reflect more aspects, such as better economic effectiveness, people-centered philosophy of development and better living conditions. This study aims at establishing the evaluation index system of regional innovation capacity under high-quality perspective. Then the dynamic evaluation method based on gray correlation degree and TOPSIS is improved. And the improved method is applied to evaluate the regional innovation capacity under high-quality development perspective. The results show that: 1) The regional innovation capacity of Jiangsu, Zhejiang, Shanghai and Guangdong under high-quality development perspective is better than other regions, while the regional innovation capacity of Beijing-Tianjin-Hebei is imbalanced. Regional innovation capability of Fujian, Shandong, and Hainan from a high-quality perspective is at the middle and lower levels. 2) From the perspective of development trends, the gap of regional innovation capacity between Beijing, Jiangsu, Zhejiang, Shanghai, Guangdong and Fujian, Hebei, Shandong is gradually narrowing. 3) An in-depth analysis of the regional innovation capability of the eastern provinces and cities from the perspective of high-quality development through different dimensions shows that Beijing, Guang-dong, Jiangsu perform well in all dimensions, while Fujian and Hainan need to pay more attention to innovation input and the creation of a better innovation environment to enhance innovation output and promote innovation effectiveness. At last, based on above analysis, relevant policy recommendations are proposed.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133511481","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}
{"title":"The Cross-Correlation Relationship Between the Real Estate Industry and High-Quality Economic Development","authors":"Mengwan Zhang, Fengfeng Gao, Jialin Gao, Weiguo Chen, Chong Aik Lee","doi":"10.21078/jssi-2021-704-17","DOIUrl":"https://doi.org/10.21078/jssi-2021-704-17","url":null,"abstract":"Abstract Based on China’s real estate investment (REI), commercial housing sales (CHS), and GDP data from 2001 to 2020, we studied the dependence, asymmetry, and transmission direction of China’s real estate and economy. Their cross-correlation is demonstrated through the deep cross-correlation analysis (DCCA) algorithm, multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA) algorithm and DCCA algorithm based on a time delay. Both REI and CHS have persistence with GDP. The real estate industry and economy have asymmetric multifractal characteristics. Meanwhile, real estate and the economy have different trends, and they can affect each other with the same length of time delay. This effect diminishes in a short period of time, and there are unsteady fluctuations in cross-correlation persistence in the long term.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130185554","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}