RESUMO
This paper contributes to the study of regional economic resilience by analyzing the dynamic characteristics and influence mechanisms of resilience from the perspective of spatial heterogeneity. This paper focuses on the resistance and recoverability dimensions of resilience and analyzed the dynamic changes in economic resilience in China's Yellow River Basin in response to the 2008 economic crisis. The multi-scale geographical weighted regression model was utilized to examine the effect of key factors on regional economic resilience. Our findings show the following: (1) The resistance of the Yellow River Basin to the financial crisis was high; however, the recoverability decreased significantly over time. (2) The spatial heterogeneity of driving factors was significant, and they had different effect scales on economic resilience. Related variety, government agency, environment, and opening to the global economy had a significant effect on economic resilience only in a specific small range. Specialization, unrelated variety, and location had opposite effects in different regions of the Yellow River Basin. (3) Specialization limited the area's resistance to shock but enhanced the recoverability. Related variety improved regional economic resilience. Unrelated variety was not conducive to regional resistance to shock and had opposite effects on the recoverability in different regions. (4) Government agency and financial market promoted regional economic resilience. Environment pollution and resource-based economic structure limited regional economic resilience. Opening to the global economy and urban hierarchy limited regional resistance to shock, but strong economic development had the opposite effect of improved regional resistance. The location in the east of the Yellow River Basin enhanced the recoverability; however, the location in the west limited the recoverability.
Assuntos
Recessão Econômica , Rios , China , Desenvolvimento Econômico , Rios/químicaRESUMO
This paper examines how the economies of old industrial cities in Northeast China respond to the on-going COVID-19 pandemic crisis. The notion of resistance in regional economic resilience is used to explore what impact factors shape the response to the early stage of the crisis. The analysis reveals significant differences in terms of regional economic impact between COVID-19 and the 2008 financial crisis. We find that large cities are more vulnerable and exposed to the pandemic at its early stage, state agency plays a crucial role in shaping the economic resistance in most cities. Going beyond the existing 2008 financial crisis-induced account on regional economic resilience, this paper argues that regional resistance amid COVID-19 is not merely shaped by economic structural factors but also influenced by state agency in terms of economic restriction and restoration measures. The study suggests that the nature of COVID-19 as a particular context of crisis itself needs to be taken seriously when exploring the determinants and outcomes of regional economic resilience.
RESUMO
BACKGROUND: Secreted protein acidic and rich in cysteine (SPARC) is always considered as a marker of poor prognosis. However, it helps to transport nab-paclitaxel and may lead better therapeutic ending. This meta-analysis was aimed to assess the relationship between SPARC expression level and clinical efficacy of nab-paclitaxel. METHODS: The PubMed and Embase databases were searched from inception to April 2020, and search terms included nanoparticle albumin-bound paclitaxel, nab-paclitaxel, nab-PTX, Abraxane, ABI-007, secreted protein acidic and rich in cysteine, SPARC, osteonectin, and BM-40. In addition, funnel plots were used to indicate the existence of publication bias. RESULTS: After further screening the full text, 5 studies that involved 336 patients were finally included in the study, of which, 3 studies concentrated on non-small cell lung cancer (NSCLC) and the other 2 on breast cancer and pancreatic cancer. SPARC status in tumor cells and stromal cells was taken into account. The HR for progression-free survival (PFS) between SPARC high and low groups was 1.25 (95% CI: 0.72-2.14, stromal cell) and 1.51 (95% CI: 0.93-2.46, tumor cell). The HR for OS between SPARC high and low groups was 1.07 (95% CI: 0.57-2.03, stromal cell) and 1.34 (95% CI: 0.74-2.43, tumor cell). It was revealed that SPARC expression level in tumor cells or stromal cells was not significantly correlated with the patient's survival outcomes. No significant publication bias was found in each analysis. CONCLUSIONS: SPARC expression level detected by immunohistochemistry (IHC) cannot predict the efficacy of nab-paclitaxel, while further large-scale clinical trials are required to confirm our findings.
