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Agricultural Land-Use Production Efficiency Considering Global Warming in European Countries

A modified undesirable exogenous dynamic data envelopment analysis model was used for the analysis of the agricultural production efficiency of European countries. We considered average temperature changes as an exogenous variable to account for global warming. The agricultural efficiency of nearly half of the European countries will be underestimated if evaluations do not account for the exogenous condition of global warming. According to the efficiency of every input and output, inefficiencies in agricultural production were identified in several countries' agricultural land use, CO2 emission, and energy use efficiencies.

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Empowering Taiwan's Climate Financial Risk Management: A Perspective

This perspective explores the complex interplay between climate risks and Taiwan's financial system, emphasizing the critical role of data-driven approaches for resilience and policy development. The paper outlines the unique challenges that Taiwan faces in mitigating climate risks within its financial sector. Despite a delayed focus on this issue, the author identifies potential pathways for policy interventions, namely Data Assisted Techniques for Adaptation (D.A.T.A), underlining the need for robust climate data collection and smart interface. This approach aims to provide a nuanced understanding of how Taiwan can strengthen its financial system against vulnerabilities induced by climate extremes.

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Chinese Economic Policy Uncertainty and Corporate Investment: Evidence from Taiwanese Firms with Chinese Operations

This paper examines how Chinese economic policy uncertainty (CEPU) influences corporate investment for Taiwanese companies with Chinese operations. Using a sample period of 1997 to 2018, we show that, when the degree of CEPU is higher, those Taiwanese firms with business operations in mainland Chinese markets stand to lower their investment. Our findings are robust to endogeneity tests using U.S. EPU as an instrumental variable. Using 2008 financial crisis as a proxy for CEPU also supports our findings.

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Does Quality of Primary Education Affect Total-factor Productivity? Evidence from OECD Countries

Total-factor productivity (TFP) is a critical driving force for economic growth. Education plays an important role in improving human capital which can promote TFP growth. This study tries to investigate how the quality of primary education affects TFP changes among OECD countries during the period of 2014-2020. This study first evaluates country's TFP change based on the Cobb-Douglas production function method and further discusses how the quality of primary education, such as pupil-teacher ratio (PTR) and class size, affects the TFP change by using panel data regression analysis. Also, this study collects some policy variables of the public sector such as total educational expenditure, foreign direct investment as well as trade openness into the empirical model to control the determinants of TFP change. Empirical findings are shown as follows: First, TFP growth has a critical influence on economic growth among OECD countries. Second, quality of primary education indeed has influences on the TFP change, representing that higher peer motivation attributes the TFP growth. Third, the viewpoint of peer learning can also explain why the quality of primary education affect TFP growth. Lastly, these results can be the reference for further discussion when investigating the effect of educational quality on TFP growth for other economies.