The objective of the study is to examine the relationship between environmental accounting audit decision and firm＇s profitability in Nigeria. Specifically, the authors hypothesize that profitability is a determinant...The objective of the study is to examine the relationship between environmental accounting audit decision and firm＇s profitability in Nigeria. Specifically, the authors hypothesize that profitability is a determinant of company＇s decision to disclose quantitative environmental information for external audits. The population of this research is made up of both quoted and non-quoted companies. The sample size for this study was selected using the simple random sampling technique. The selected companies included companies from the following sectors： agriculture, automobile and tyre, breweries, building materials, chemical and paints, conglomerates companies, food/beverages and tobacco, construction, healthcare, industrial/domestic products, packaging, printing and publishing, textiles, petroleum marketing companies, banking, insurance, and others. A sample of 160 companies with audited final accounts for 2009 financial year was eventually selected. The binary logit regression technique was utilized as the data analysis method. The finding reveals that profitability is a positive and significant determinant in evaluating the probability that a firm includes environmental information for external audits. The study concludes that finn-specific factors may provide incentives for corporate environmentalism in Nigeria.展开更多
We consider the statistical inference for right-censored data when censoring indicators are missing but nonignorable, and propose an adjusted imputation product-limit estimator. The proposed estimator is shown to be c...We consider the statistical inference for right-censored data when censoring indicators are missing but nonignorable, and propose an adjusted imputation product-limit estimator. The proposed estimator is shown to be consistent and converges to a Gaussian process. Furthermore, we develop an empirical processbased testing method to check the MAR (missing at random) mechanism, and establish asymptotic properties for the proposed test statistic. To determine the critical value of the test, a consistent model-based bootstrap method is suggested. We conduct simulation studies to evaluate the numerical performance of the proposed method and compare it with existing methods. We also analyze a real data set from a breast cancer study for an illustration.展开更多
文摘The objective of the study is to examine the relationship between environmental accounting audit decision and firm＇s profitability in Nigeria. Specifically, the authors hypothesize that profitability is a determinant of company＇s decision to disclose quantitative environmental information for external audits. The population of this research is made up of both quoted and non-quoted companies. The sample size for this study was selected using the simple random sampling technique. The selected companies included companies from the following sectors： agriculture, automobile and tyre, breweries, building materials, chemical and paints, conglomerates companies, food/beverages and tobacco, construction, healthcare, industrial/domestic products, packaging, printing and publishing, textiles, petroleum marketing companies, banking, insurance, and others. A sample of 160 companies with audited final accounts for 2009 financial year was eventually selected. The binary logit regression technique was utilized as the data analysis method. The finding reveals that profitability is a positive and significant determinant in evaluating the probability that a firm includes environmental information for external audits. The study concludes that finn-specific factors may provide incentives for corporate environmentalism in Nigeria.
基金supported by National Natural Science Foundation of China (Grant Nos. 10901162 and 10926073)China Postdoctoral Science Foundation and Foundation of the Key Laboratory of Random Complex Structures and Data Science, Chinese Academy of Sciences+2 种基金supported by National Natural Science Foundation of China (Grant Nos. 10971007 and 11101015)the fund from the government of Beijing (Grant No. 2011D005015000007)supported by National Science Foundation of US (Grant Nos. DMS0806097 and DMS1007167)
文摘We consider the statistical inference for right-censored data when censoring indicators are missing but nonignorable, and propose an adjusted imputation product-limit estimator. The proposed estimator is shown to be consistent and converges to a Gaussian process. Furthermore, we develop an empirical processbased testing method to check the MAR (missing at random) mechanism, and establish asymptotic properties for the proposed test statistic. To determine the critical value of the test, a consistent model-based bootstrap method is suggested. We conduct simulation studies to evaluate the numerical performance of the proposed method and compare it with existing methods. We also analyze a real data set from a breast cancer study for an illustration.
