Muhammad Bilal Khan, Ernest Ezeani, Hummera Saleem, Muhammad Usman
{"title":"管理层盈利预测与技术创新:债务成本的中介效应","authors":"Muhammad Bilal Khan, Ernest Ezeani, Hummera Saleem, Muhammad Usman","doi":"10.1108/jaee-09-2023-0279","DOIUrl":null,"url":null,"abstract":"PurposeThis study examines whether a firm’s management earnings forecasts affect its technical innovation activities. Our study also examines whether the cost of debt plays a mediating role between the management earnings forecasts and the innovation nexus.Design/methodology/approachWe obtained data from 1,032 Chinese non-financial firms listed on the Shanghai and Shenzhen stock markets from 2005 to 2022 (i.e. 18,576 firm-year observations). We used various econometrics techniques, such as Heckman’s (1979) two-stage selection method and two-stage least square, to examine the relationship between management earnings forecasts and the firm’s technical innovation activities.FindingsWe find a positive relationship between management earnings forecasts and the firms' technical innovation. We also find that the cost of debt mediates the relationship between management earnings forecast and technical innovation. Further analysis indicates that frequent earnings forecasts provide incremental information regarding a firm’s future value and cash flows, thus reducing the volatility and uncertainty in cash flow calculations. Our findings are robust to several tests.Originality/valueOur study has implications for policymakers, practitioners and high-level management of Chinese firms, enabling them to understand the relationship between management earnings forecasts and firms' innovation activities.","PeriodicalId":45702,"journal":{"name":"Journal of Accounting in Emerging Economies","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Management earnings forecast and technical innovation: the mediating effects of cost of debt\",\"authors\":\"Muhammad Bilal Khan, Ernest Ezeani, Hummera Saleem, Muhammad Usman\",\"doi\":\"10.1108/jaee-09-2023-0279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis study examines whether a firm’s management earnings forecasts affect its technical innovation activities. Our study also examines whether the cost of debt plays a mediating role between the management earnings forecasts and the innovation nexus.Design/methodology/approachWe obtained data from 1,032 Chinese non-financial firms listed on the Shanghai and Shenzhen stock markets from 2005 to 2022 (i.e. 18,576 firm-year observations). We used various econometrics techniques, such as Heckman’s (1979) two-stage selection method and two-stage least square, to examine the relationship between management earnings forecasts and the firm’s technical innovation activities.FindingsWe find a positive relationship between management earnings forecasts and the firms' technical innovation. We also find that the cost of debt mediates the relationship between management earnings forecast and technical innovation. Further analysis indicates that frequent earnings forecasts provide incremental information regarding a firm’s future value and cash flows, thus reducing the volatility and uncertainty in cash flow calculations. Our findings are robust to several tests.Originality/valueOur study has implications for policymakers, practitioners and high-level management of Chinese firms, enabling them to understand the relationship between management earnings forecasts and firms' innovation activities.\",\"PeriodicalId\":45702,\"journal\":{\"name\":\"Journal of Accounting in Emerging Economies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Accounting in Emerging Economies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jaee-09-2023-0279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Accounting in Emerging Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jaee-09-2023-0279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Management earnings forecast and technical innovation: the mediating effects of cost of debt
PurposeThis study examines whether a firm’s management earnings forecasts affect its technical innovation activities. Our study also examines whether the cost of debt plays a mediating role between the management earnings forecasts and the innovation nexus.Design/methodology/approachWe obtained data from 1,032 Chinese non-financial firms listed on the Shanghai and Shenzhen stock markets from 2005 to 2022 (i.e. 18,576 firm-year observations). We used various econometrics techniques, such as Heckman’s (1979) two-stage selection method and two-stage least square, to examine the relationship between management earnings forecasts and the firm’s technical innovation activities.FindingsWe find a positive relationship between management earnings forecasts and the firms' technical innovation. We also find that the cost of debt mediates the relationship between management earnings forecast and technical innovation. Further analysis indicates that frequent earnings forecasts provide incremental information regarding a firm’s future value and cash flows, thus reducing the volatility and uncertainty in cash flow calculations. Our findings are robust to several tests.Originality/valueOur study has implications for policymakers, practitioners and high-level management of Chinese firms, enabling them to understand the relationship between management earnings forecasts and firms' innovation activities.