LitCovid-sentences  

PMC:7589389 / 33738-38066 JSONTXT 7 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T242 0-2 Sentence denotes 5.
T243 3-27 Sentence denotes Cross-Sectional Analyses
T244 29-33 Sentence denotes 5.1.
T245 34-49 Sentence denotes Research Design
T246 50-536 Sentence denotes To test the H2a and H2b, we generate the regression model as follows:CAR = β0 + β1CIPHT + β2CIPHT × Conditioning_VAR + β3Conditioning_VAR + β4PRO_CASE + β5SIZE + β6ROA + β7CURR + β8R&D + β9LOSS + β10LEV + β11OPCF + β12TURN + β13CEO_AGE+ β14CEO_COM + β15CEO_TEN + β16CEO_DUA + Week FE + Industry FE + Province FE + ε(3) where Conditioning_VAR is a conditioning variable that moderates the association between continued increasing public health threats and accumulative abnormal return.
T247 537-577 Sentence denotes All other variables are above-mentioned.
T248 578-717 Sentence denotes To test H2a and H2b, Conditioning_VAR is in terms of the provincial information accessibility and provincial economic growth, respectively.
T249 718-774 Sentence denotes We explain the detail proxies in the following sections.
T250 776-780 Sentence denotes 5.2.
T251 781-856 Sentence denotes The Conditioning Effect of Provincial Information Accessibility―Test of H2a
T252 857-1078 Sentence denotes Regrading H2a, we investigate whether the continued increasing public health threats in decreasing the accumulative abnormal return is weaker in firms that located in the provinces with stronger information accessibility.
T253 1079-1215 Sentence denotes We suppose that stronger information accessibility will decrease the investors’ risk assessment by mitigating the information asymmetry.
T254 1216-1333 Sentence denotes We apply three proxies (High_WEB, High_MED, and High_MOB) to represent stronger provincial information accessibility.
T255 1334-1934 Sentence denotes Here, High_WEB is an indicator variable that equals one if the provincial ratio of the number of websites per 100 enterprises to resident population is higher than or equal to the upper quartile value and zero otherwise; High_MED is an indicator variable that equals one if the provincial TV coverage rate of population is higher than or equal to the upper quartile value and zero otherwise; and High_MOB is an indicator variable that equals one if the provincial ratio of flow accessed to mobile internet to resident population is higher than or equal to the upper quartile value and zero otherwise.
T256 1935-2108 Sentence denotes For the H2a, we substitute Conditioning_VAR in Model (3) with High_WEB, High_MED, and High_MOB, respectively, and expect the coefficient of the interaction term is positive.
T257 2109-2153 Sentence denotes Table 8 shows the regression results on H2a.
T258 2154-2570 Sentence denotes We find that the interaction terms of CIPHT × High_WEB, CIPHT × High_MED, and CIPHT × High_MOB are positive and significant, which support the H2a that the negative effect of continued increasing provincial public health threats on market reaction is less pronounced when the provincial information accessibility is stronger (in terms of higher websites rate, higher media coverage, and higher mobile internet rate).
T259 2572-2576 Sentence denotes 5.3.
T260 2577-2642 Sentence denotes The Conditioning Effect of Provincial Economic Growth―Test of H2b
T261 2643-2849 Sentence denotes Regrading H2b, we investigate whether the continued increasing public health threats in decreasing the accumulative abnormal return is weaker in firms located in the provinces with stronger economic growth.
T262 2850-3013 Sentence denotes We suppose that stronger economic growth will decrease the investors’ risk assessment by enhancing the likelihood to have a positive outlook on the future economy.
T263 3014-3123 Sentence denotes We apply three proxies (High_GRP, High_EMR, and High_URB) to represent a stronger provincial economic growth.
T264 3124-3695 Sentence denotes Here, High_GRP is an indicator variable that equals one if the provincial ratio of the gross regional product to resident population is higher than or equal to the upper quartile value and zero otherwise; High_EMR is an indicator variable that equals one if the provincial employment rate in the urban area is higher than or equal to the upper quartile value and zero otherwise; and High_URB is an indicator variable that equals one if the provincial ratio of urban population to resident population is higher than or equal to the upper quartile value and zero otherwise.
T265 3696-3869 Sentence denotes For the H2b, we substitute Conditioning_VAR in Model (3) with High_GRP, High_EMR, and High_URB, respectively, and expect the coefficient of the interaction term is positive.
T266 3870-3914 Sentence denotes Table 9 shows the regression results on H2b.
T267 3915-4328 Sentence denotes We find that the interaction terms of CIPHT × High_GRP, CIPHT × High_EMR, and CIPHT × High_URB are positive and significant, which support the H2b that the negative effect of continued increasing provincial public health threats on market reaction is less pronounced when the provincial economic growth is stronger (in terms of higher gross regional product rate, higher employment rate, and higher urbanization).