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PMC:7589389 / 44002-50035 JSONTXT

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LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T10 632-636 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T30 632-636 Body_part denotes face http://purl.org/sig/ont/fma/fma24728
T31 2444-2448 Body_part denotes body http://purl.org/sig/ont/fma/fma256135

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T80 72-80 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T81 204-212 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T82 677-685 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T83 1799-1807 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T84 2503-2511 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T85 2707-2715 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T86 3189-3197 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T87 3705-3713 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T88 4293-4301 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T197 90-93 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T198 632-636 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T199 748-753 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T200 1136-1141 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T201 1365-1368 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T202 1369-1370 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T203 1599-1600 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T204 1677-1678 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T205 2050-2051 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T206 3090-3091 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T207 3277-3278 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T208 3301-3305 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T209 3510-3518 http://purl.obolibrary.org/obo/CLO_0009985 denotes focusing
T210 4324-4330 http://purl.obolibrary.org/obo/SO_0000418 denotes signal
T211 4357-4360 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T212 5068-5071 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T213 5173-5178 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T214 5184-5196 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrumental

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T17 1088-1094 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T18 5803-5809 http://purl.obolibrary.org/obo/GO_0040007 denotes growth

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T311 0-2 Sentence denotes 7.
T312 3-29 Sentence denotes Conclusions and Discussion
T313 30-137 Sentence denotes The issue of the economic outcomes of the COVID-19 outbreak has gained considerable attention in the world.
T314 138-278 Sentence denotes However, how exactly the continued increasing provincial cases of COVID-19 affects the firms’ market performance is not entirely understood.
T315 279-419 Sentence denotes In this paper, we examine whether and how the continued increase of public health threats negatively affects the cumulative abnormal return.
T316 420-692 Sentence denotes Using the 178,805 firm-day observations from Chinese listed firms from 10 January to 31 March 2020, we find that the accumulative abnormal return is significantly lower among firms located in the provinces where face the continued increase of new confirmed COVID-19 cases.
T317 693-754 Sentence denotes The relations remain constant after several robustness tests.
T318 755-903 Sentence denotes These findings suggest that investors concern about the potential risk when firms are located in the provinces with higher threats to public health.
T319 904-1095 Sentence denotes In addition, we find that the relation between increasing provincial public health threat and firms’ abnormal return is affected by the regional information accessibility and economic growth.
T320 1096-1182 Sentence denotes Moreover, we conduct several additional tests to ensure the robustness of our results.
T321 1183-1320 Sentence denotes First, we find that the continued decrease of provincial public health threats is positively related to the accumulative abnormal return.
T322 1321-1511 Sentence denotes Second, we find that the community lockdown has a negative moderating effect on the negative relationship between continued increasing public health threats and accumulative abnormal return.
T323 1512-1699 Sentence denotes Third, we find that the negative effect of increasing threats is weaker for firms with a higher level of geographical diversification, operating cash flow, and with a clean audit opinion.
T324 1700-1814 Sentence denotes Fourth, we find that our results are not driven by the fluctuations in the number of new confirmed COVID-19 cases.
T325 1815-1872 Sentence denotes This study contributes to the literature in many aspects.
T326 1873-1977 Sentence denotes First, we add to the growing literature on the role that public health threats play in market reactions.
T327 1978-2343 Sentence denotes Prior studies contend that the firms in heavy-polluting industries have a negative market reaction to the passage of the Environmental Protection Tax Law [39]; negative cumulative abnormal returns occur during short windows around pollution events [38]; and insurance firms have higher abnormal returns around the event window in most of the hurricane hazards [37].
T328 2344-2428 Sentence denotes These findings suggest that the increase in public health risks affects the markets.
T329 2429-2639 Sentence denotes We add to this body of research by showing that the continued increase of COVID-19 cases at the provincial level will negatively affect the firm’s market performance by enhancing the investors’ risk assessment.
T330 2640-2852 Sentence denotes Second, we also contribute to the literature on risk assessment on COVID-19 and provide evidence that continued increasing regional public health threats are an essential determinant of local firms’ share prices.
T331 2853-2977 Sentence denotes This study answers Zhang and Shaw’s [1] call for multi-disciplinary research incorporating public health and socioeconomics.
T332 2978-3156 Sentence denotes Our findings shed light on this observation and suggest that the provincial-level threats of public health play a substantial role in determining local firms’ market performance.
T333 3157-3400 Sentence denotes Moreover, compared to the prior COVID-19 related studies based on the evidence from China’s market [3], this study uses a much larger sample to test the effect of continued increasing public health threats, which enhance the statistical power.
T334 3401-3540 Sentence denotes Considering the limitations of the cross-country setting [2,4,7,24], this study supplements prior studies by focusing on one single market.
T335 3541-3636 Sentence denotes Third, we add the literature on the moderate effects of macro factors on public health threats.
T336 3637-3809 Sentence denotes This study shows that provincial-based continued increased cases of COVID-19 affect investors’ expectations of the local firms’ exposure to increased risk of public health.
T337 3810-3972 Sentence denotes Moreover, our cross-sectional analyses show that investors’ risk assessment could be driven by the provincial level of information asymmetry and economic outlook.
T338 3973-4138 Sentence denotes Fourth, we extend the literature on information disclosure and show the usefulness of the timely disclosure on disease information from the governmental institution.
T339 4139-4207 Sentence denotes It will be helpful to the investor for facilitating decision making.
T340 4208-4345 Sentence denotes This study provides evidence that the continued increase of provincial new confirmed COVID-19 cases is an essential signal for investors.
T341 4346-4405 Sentence denotes This study has several implications for interested parties.
T342 4406-4563 Sentence denotes Investors should realize the usefulness of the non-financial information and pay more attention to the detailed information related to public health threats.
T343 4564-4770 Sentence denotes Companies need to enhance the level of geographical diversification, operating cash flow, and reporting quality for mitigating the negative effect of local public health threats on their market performance.
T344 4771-5057 Sentence denotes For the government and policymakers, they should understand the important moderate effects of the local environment on the negative effect of public health threats and take the balance of the cross-provinces development from the perspectives of the information technology and economics.
T345 5058-5134 Sentence denotes Our study has several limitations that could be addressed by future studies.
T346 5135-5281 Sentence denotes First, we add several cross-sectional tests, the instrumental variables approach, and many control variables to mitigate the endogeneity concerns.
T347 5282-5363 Sentence denotes However, it is difficult to rule out all confounding factors using archival data.
T348 5364-5472 Sentence denotes Second, the abnormal return measures are inherently limited and may not entirely represent abnormal returns.
T349 5473-5668 Sentence denotes Third, given that the institutional characteristics of China are different from other countries, the negative effect of continued increasing public health threats may not exist in other settings.
T350 5669-6033 Sentence denotes Fourth, considering the difficulty of the measurement for the regional public health threats, information accessibility, and economic growth (e.g., we fail to measure the quality of news information), we merely provide some testable proxies to represent these concepts and show that they relate to the investors’ risk assessment on continued public health threats.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
274 72-80 Disease denotes COVID-19 MESH:C000657245
275 204-212 Disease denotes COVID-19 MESH:C000657245
277 677-685 Disease denotes COVID-19 MESH:C000657245
279 1799-1807 Disease denotes COVID-19 MESH:C000657245
281 2503-2511 Disease denotes COVID-19 MESH:C000657245
284 2707-2715 Disease denotes COVID-19 MESH:C000657245
285 3189-3197 Disease denotes COVID-19 MESH:C000657245
287 3705-3713 Disease denotes COVID-19 MESH:C000657245
289 4293-4301 Disease denotes COVID-19 MESH:C000657245