PMC:7589389 / 36310-38066 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T24","span":{"begin":67,"end":70},"obj":"Body_part"},{"id":"T25","span":{"begin":81,"end":84},"obj":"Body_part"},{"id":"T26","span":{"begin":1132,"end":1135},"obj":"Body_part"},{"id":"T27","span":{"begin":1338,"end":1341},"obj":"Body_part"},{"id":"T28","span":{"begin":1486,"end":1489},"obj":"Body_part"}],"attributes":[{"id":"A24","pred":"fma_id","subj":"T24","obj":"http://purl.org/sig/ont/fma/fma84130"},{"id":"A25","pred":"fma_id","subj":"T25","obj":"http://purl.org/sig/ont/fma/fma84130"},{"id":"A26","pred":"fma_id","subj":"T26","obj":"http://purl.org/sig/ont/fma/fma84130"},{"id":"A27","pred":"fma_id","subj":"T27","obj":"http://purl.org/sig/ont/fma/fma84130"},{"id":"A28","pred":"fma_id","subj":"T28","obj":"http://purl.org/sig/ont/fma/fma84130"}],"text":"5.3. The Conditioning Effect of Provincial Economic Growth―Test of H2b\nRegrading 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. 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. We apply three proxies (High_GRP, High_EMR, and High_URB) to represent a stronger provincial economic growth. 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. 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. Table 9 shows the regression results on H2b. 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)."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T175","span":{"begin":59,"end":63},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T176","span":{"begin":400,"end":401},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T177","span":{"begin":513,"end":514},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"5.3. The Conditioning Effect of Provincial Economic Growth―Test of H2b\nRegrading 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. 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. We apply three proxies (High_GRP, High_EMR, and High_URB) to represent a stronger provincial economic growth. 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. 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. Table 9 shows the regression results on H2b. 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)."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T25","span":{"begin":573,"end":582},"obj":"Chemical"},{"id":"T26","span":{"begin":772,"end":781},"obj":"Chemical"},{"id":"T27","span":{"begin":950,"end":959},"obj":"Chemical"}],"attributes":[{"id":"A25","pred":"chebi_id","subj":"T25","obj":"http://purl.obolibrary.org/obo/CHEBI_47867"},{"id":"A26","pred":"chebi_id","subj":"T26","obj":"http://purl.obolibrary.org/obo/CHEBI_47867"},{"id":"A27","pred":"chebi_id","subj":"T27","obj":"http://purl.obolibrary.org/obo/CHEBI_47867"}],"text":"5.3. The Conditioning Effect of Provincial Economic Growth―Test of H2b\nRegrading 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. 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. We apply three proxies (High_GRP, High_EMR, and High_URB) to represent a stronger provincial economic growth. 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. 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. Table 9 shows the regression results on H2b. 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)."}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T12","span":{"begin":52,"end":58},"obj":"http://purl.obolibrary.org/obo/GO_0040007"},{"id":"T13","span":{"begin":270,"end":276},"obj":"http://purl.obolibrary.org/obo/GO_0040007"},{"id":"T14","span":{"begin":312,"end":318},"obj":"http://purl.obolibrary.org/obo/GO_0040007"},{"id":"T15","span":{"begin":544,"end":550},"obj":"http://purl.obolibrary.org/obo/GO_0040007"},{"id":"T16","span":{"begin":1639,"end":1645},"obj":"http://purl.obolibrary.org/obo/GO_0040007"}],"text":"5.3. The Conditioning Effect of Provincial Economic Growth―Test of H2b\nRegrading 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. 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. We apply three proxies (High_GRP, High_EMR, and High_URB) to represent a stronger provincial economic growth. 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. 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. Table 9 shows the regression results on H2b. 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)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T259","span":{"begin":0,"end":4},"obj":"Sentence"},{"id":"T260","span":{"begin":5,"end":70},"obj":"Sentence"},{"id":"T261","span":{"begin":71,"end":277},"obj":"Sentence"},{"id":"T262","span":{"begin":278,"end":441},"obj":"Sentence"},{"id":"T263","span":{"begin":442,"end":551},"obj":"Sentence"},{"id":"T264","span":{"begin":552,"end":1123},"obj":"Sentence"},{"id":"T265","span":{"begin":1124,"end":1297},"obj":"Sentence"},{"id":"T266","span":{"begin":1298,"end":1342},"obj":"Sentence"},{"id":"T267","span":{"begin":1343,"end":1756},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"5.3. The Conditioning Effect of Provincial Economic Growth―Test of H2b\nRegrading 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. 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. We apply three proxies (High_GRP, High_EMR, and High_URB) to represent a stronger provincial economic growth. 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. 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. Table 9 shows the regression results on H2b. 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)."}

{"project":"LitCovid-PubTator","denotations":[{"id":"234","span":{"begin":81,"end":84},"obj":"Gene"},{"id":"235","span":{"begin":1132,"end":1135},"obj":"Gene"},{"id":"236","span":{"begin":1338,"end":1341},"obj":"Gene"},{"id":"237","span":{"begin":1486,"end":1489},"obj":"Gene"}],"attributes":[{"id":"A234","pred":"tao:has_database_id","subj":"234","obj":"Gene:8349"},{"id":"A235","pred":"tao:has_database_id","subj":"235","obj":"Gene:8349"},{"id":"A236","pred":"tao:has_database_id","subj":"236","obj":"Gene:8349"},{"id":"A237","pred":"tao:has_database_id","subj":"237","obj":"Gene:8349"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"5.3. The Conditioning Effect of Provincial Economic Growth―Test of H2b\nRegrading 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. 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. We apply three proxies (High_GRP, High_EMR, and High_URB) to represent a stronger provincial economic growth. 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. 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. Table 9 shows the regression results on H2b. 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)."}