Beibei Xiong, Yongli Li, Ernesto D.R. Santibanez Gonzalez and Malin Song
The purpose of this paper is to measure Chinese industries’ eco-efficiency during 2006-2013. The Chinese industry attained rapid achievement in recent decades, but meanwhile…
Abstract
Purpose
The purpose of this paper is to measure Chinese industries’ eco-efficiency during 2006-2013. The Chinese industry attained rapid achievement in recent decades, but meanwhile, overconsumption of energy and environmental pollution have become serious problems. To solve these problems, many research studies used the data envelopment analysis (DEA) to measure the Chinese industry’s eco-efficiency. However, because the target set by these works is usually the furthest one for a province to be efficient, it may hardly be accepted by any province.
Design/methodology/approach
This paper builds a new “closest target method” based on an additive DEA model considering the undesirable outputs. This method is a mixed-integer programming problem which can measure the ecological efficiency of provinces and more importantly guide the province to perform efficiently with minimum effort.
Findings
The results show that the eco-efficiency of Chinese provinces increased at the average level, but the deviations remained at a larger value. Compared to the “furthest” target methods, the targets by the approach proposed by this study are more acceptable for a province to improve its performance on both economy and environment counts.
Originality/value
This study is the first attempt to introduce the closest targets concept to measure the eco-efficiency and set the target for each provincial industry in China.
Details
Keywords
Beibei Yan, Özgür Arslan-Ayaydin, James Thewissen and Wouter Torsin
Prior research shows that managers with lower ability release less accurate management earnings forecasts and have more earnings restatements, lower earnings persistence and lower…
Abstract
Purpose
Prior research shows that managers with lower ability release less accurate management earnings forecasts and have more earnings restatements, lower earnings persistence and lower quality accruals estimations. Yet, whether the impact of managerial ability (MA) on financial reporting can be extended to the narrative section of firms' financial disclosures needs to be theoretically and empirically examined. The authors theorize in this paper that managers with low ability opportunistically inflate the tone to increase outsiders' perceptions of their ability. The authors also examine the relation between MA and the informativeness of tone to predict future firm performance and explain investors' reaction at earnings announcement.
Design/methodology/approach
The authors collect 24,000 earnings press releases of 1,149 distinct firms between 2004 and 2013. Content analysis is used to proxy the tone of the disclosures. The authors use the score developed by Demerjian et al. (2012) to measure MA. The authors then employ panel data regressions to examine the impact of MA on disclosure tone.
Findings
The authors find that low-ability managers inflate the disclosure tone to positively influence labor market's perceptions about their ability. This effect is magnified for younger and shorter-tenured managers, for firms with more intense monitoring and during bear markets. The authors also find that the tone of earnings press releases of low-ability managers results in a lower stock price reaction. Supplementary analyses show that the results do not only hold for the tone, but also can be extended to other linguistic features such as the numerical intensity and the readability of earnings press releases. The results are robust to alternative library specifications and other corporate disclosures such as CEO letters to shareholders or 10-K filings.
Research limitations/implications
The paper shows that managers worry about how firm performance influences the labor market assessment of their ability. In particular, the authors find that managers of low ability are willing to opportunistically manipulate the content of corporate disclosures to improve this perception and build their reputation.
Originality/value
The authors contribute by providing theoretical and empirical evidence on how managers attempt to steer assessments of their ability by manipulating corporate disclosures. Consistent with prior business research suggesting that one's ability is a key feature that affects managers' propensity to engage in ethical practices, such as tax avoidance or manipulation of financial information, this study shows that less able managers tend to inflate the tone of the earnings announcements and that this ability-driven bias is likely to be magnified by career concerns.
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Xing Li, Fangyuan Zheng, Yong Qi and Hanbo Zhang
Key core technology is the most important weapon of the country, and breaking through the “strangled” problem is one of the real problems that China’s emerging industries and…
Abstract
Purpose
Key core technology is the most important weapon of the country, and breaking through the “strangled” problem is one of the real problems that China’s emerging industries and enterprises must solve. Accurately identifying the “strangled” problem will help China accelerate the realization of high-level scientific and technological self-reliance and win the battle against key core technologies.
Design/methodology/approach
Combined with the characteristics of key core technologies, the key core technology evaluation system was constructed from four dimensions: technology innovation, technology radiation, technology economy and technology safety. We adopt the entropy TOPSIS method to evaluate the patents, and the patents with the top 5% scores are identified as key core technology patents. Then, this study identifies key core technology “strangled” problems in three dimensions: technology value advantage, competitive advantage and quantitative advantage.
Findings
Taking the patent data of the global new generation information technology industry from 2011 to 2023 as a sample, 178 moderately “strangled” technologies and 49 severely “strangled” technologies are selected. The study results are consistent with the current situation of the new generation information technology industry’s development, and verify the feasibility and reliability of the key core technology “strangled” problem identification model.
Originality/value
This study uses patent data to identify key core technologies and “Strangled” in the new generation information technology industry. It can provide a reference for relevant national departments and agencies, as well as universities and enterprises.