Evaluation Review最新文献

In 2003, Bloom, Hill, and Riccio (BHR) published an influential paper introducing novel methods for explaining the variation in local impacts observed in multi-site randomized control trials of socio-economic interventions in terms of site-level mediators. This paper seeks to improve upon this previous work by using student-level data to measure site-level mediators and confounders. Development of asymptotic behavior backed up with simulations and an empirical example. Students and training providers. Two simulations and an empirical application to data from an evaluation of the Health Professions Opportunity Grants (HPOG) Program. This empirical analysis involved roughly 6600 participants across 37 local sites. We examine bias and mean square error of estimates of mediation coefficients as well as the true coverage of nominal 95-percent confidence intervals on the mediation coefficients. Simulations suggest that the new methods generally improve the quality of inferences even when there is no confounding. Applying this methodology to the HPOG study shows that program-average FTE months of study by month six was a significant mediator of both career progress and long-term degree/credential receipt. Evaluators can robustify their BHR-style analyses by the use of the methods proposed here.

Economic corridors unlock new economic opportunities and tourism development in the region to achieve sustainable development goals. Green economic growth is conducive to environmental sustainability. Economic mega-projects of CPEC promote tourism that leads to communities' well-being and better quality of life. Modern infrastructure development contributes significantly to economic growth and tourism activities. This study's objectives emphasize exploring tourism and sustainable development pursuits under OBOR economic projects that open doors to improving residents' quality of life. The growing world is an eyewitness to a continuous rise in emissions and its severe consequences for humankind. It is necessary to show off the leading factors that result in tourism and economic activities causing environmental pollution rather than blame policymakers. Undoubtedly, many studies previously focused on demonstrating the influence of socio-economic factors that lead to better environmental quality. However, the empirical literature on tourism, social well-being, foreign direct investment, and the Environment in Belt and Road developed economies needed improvement. This research applied a series of advanced estimators that help demonstrate the study's probable results. This study explores the role of Social well-being (HDI), tourism development, FDI, renewable energy, information & communication technology (ICT), and urbanization on CO2 emissions in Belt and Road (BRI) developed economies.Estimated results exhibited the significant contribution of ICT and renewable energy to sustainability. Besides, FDI contributes to emissions reduction after its threshold level. Conversely, urbanization and tourism activities contribute to environmental pollution. The study outcomes stated inverted/EKC U-shaped hypotheses related to specified economies. Finally, the analysis based on the D-H panel causality test constructs exciting results.The present study concludes that economic corridor plays a vital role in tourism development, the community's well-being, and SDGs goals (sustainable development) impact on environmental safety. The findings suggest essential and applicable policies to attain the desired sustainability level. Findings contribute to the literature on tourism, well-being, and sustainability. Further studies can use insights using this methodology.

Technology innovation is the key driving force in achieving economic transformation and development. Financial development and the expansion of higher education can promote technological progress primarily by easing financing constraints and improving the level of human capital. This study examines the impact of financial development and higher education expansion on green technology innovation. It conducts an empirical analysis by constructing a linear panel model and a nonlinear threshold model. The present study sample is based on the urban panel data of China from 2003-2019. (1) Financial development can significantly promote the expansion of higher education. (2) The expansion of higher education can improve energy and environment-based technological progress. (3) Financial development can both directly and indirectly promote green technology evolution by expanding higher education. The joint financial development and higher education expansion can significantly empower green technology innovation. (4) In the process of promoting green technology innovation, financial development has a non-linear influence on it, with higher education as the threshold. The effect of financial development on green technology innovation varies according to the degree of higher education. Based on these findings, we put forward policy proposals for green technology innovation to promote economic transformation and development in China.

The global economies and international organizations are inclined towards sustainable growth, technological advancements and product innovations. China is the leading economy in information and communication technologies and among the major industrially expanded economies covering a substantial share of the global market in exports. The prime objective of this study is to explore the role of digitalization and Information and communication technologies (ICT) for product innovation (PIN). In doing so, the study also attempts to draw some novel implications regarding business, entrepreneurship, and product innovation in the lens of sustainability. This current study use the annual data of China from 1990-2020. The empirical analysis was conducted using the stationarity testing and the Johansen cointegration test. In addition, due to the data's asymmetrical distribution, the non-parametric "quantile regression" is used. For robustness, this study employs the Fully Modified Ordinary Least Square, Canonical Cointegration, and Dynamic Ordinary Least Square methods. The empirical results reveal that economic progress and financial development are substantial factors of product innovation. The robust analysis reveals that medium and high-tech industries and information and communication technology adversely affect product innovation. Further, the presence of financial development transforms the negative influence of information and communication technology into a positive. The current study concludes more investments in the technological industry are required to encourage product innovation in China. The study discusses some policy-related implications in the context of business sustainability and product innovation.

Increasing industrial activities trigger the intense use of fossil fuels and increase the number of carbon emissions in the atmosphere. Countries with a high share in current carbon emissions need to expand their use of renewable energy sources. Canada is an important energy producer and consumer globally. In this regard, its decisions are important for the future development of global emissions. This study examines the asymmetric effects of economic growth, renewable energy, and non-renewable energy consumption on carbon emissions in Canada from 1965 to 2017. In the first stage of the analysis, unit root testing was performed for the variables. For this, Lee-Strazicich (2003), ADF and PP unit root tests were used. The nonlinear ARDL method was used to analyze the relationship between variables. and Measures: In order to analyze the relationship between the variables in the established model, renewable energy consumption (%), non-renewable energy consumption (%), and carbon emissions (per capita-Mt). In addition, the economic growth (constant price 2010- US$) parameter was added to the model as a control variable. The findings support that energy consumption, economic growth, and renewable energy have an asymmetric effect on carbon emissions in the long run. The positive shock in renewable energy reduces carbon emissions, and a unit increase in renewable energy reduces carbon emissions by 1.29%. Besides, the negative shock in economic growth greatly deteriorates the quality of the environment; that is, a 1% reduction in economic growth causes emissions to increase by 0.74% in the long run. On the other hand, positive shocks in energy consumption have a positive and significant effect on carbon emissions. A 1% increase in energy consumption causes 1.69% carbon emissions. There are important policy implications for Canada to eliminate carbon emissions, increase the share of renewable energy sources and achieve its economic growth targets. In addition, Canada needs to reduce its consumption of non-renewable energy (such as gasoline coal, diesel, and natural gas).

With various strains of the novel coronavirus emerging during the last few years, there is a need to reinvent and manage the tourism industry by engaging various stakeholders. Industry and policymakers need to observe the shift and curate tourism-related products and offerings accordingly. In light of the increasing demand for innovations and future directions in the post-COVID-19 period, this article conducts a bibliometric analysis for sustainable tourism studies spanning the years 1990-2021. This paper presents an integrative review of tourism, environment and sustainable tourism to reveal geographical, contextual, and methodological directions for future research. The comprehensive analysis includes contributions on topics and methods, country collaborations, and thematic analysis. The findings are consistent with the Sustainable Development Goals of sustainable production and consumption (SDG-12), with a particular emphasis on sustainable tourism to promote local culture and create jobs (SDG-12.b) and on sustainable growth (SDG-13). The study's findings can be used to inform future policies and directions; for example, the findings indicate that the hospitality industry is facing challenges that necessitate new regulations to address its socioeconomic and environmental impacts.

After the 2008 World Crisis, there is a view that the economic recovery has not been adequate. In this context, the debate on hysteresis and especially investment hysteresis has increased in the last decade. The aim of this study is to analyze the investment hysteresis and the basic dynamics of hysteresis in the Turkish economy. Structural break tests are used to identify hysteresis. Traditional and asymmetric causality tests are used to identify the fundamental dynamics of hysteresis. Investment, GDP, interest rate, and productivity variables are used to analyze investment hysteresis. Structural break tests were applied to the variables, while conventional and asymmetric causality tests were applied between investments and their determinants. Structural break tests prove the existence of hysteresis. According to the Granger causality test, there is no causality from interest rates, GDP and productivity to investments. The fact that interest rates have no effect on investments proves hysteresis. According to the asymmetric causality test, there is no relationship between interest rates and investments. There is an inverse relationship between GDP and investments. There is an asymmetric relationship between productivity and investments. The fact that productivity shocks cause asymmetric effects on investments makes productivity shocks the main dynamic of hysteresis. In addition, there is considerable evidence that the strong hysteresis and high uncertainty of TFP exacerbate investment hysteresis. Therefore, productivity shocks should be taken into account in policymaking for hysteresis.

As a high-energy-consuming sector, China's light sector should have received more attention for its carbon emissions (CO₂e). However, the literature on energy-related CO₂e in China's light sector is limited at present. This paper aims to assess the impact of China's light sector on CO₂e. This paper applies the energy consumption technique, input-output analysis technique, and structural decomposition model to analyze China's light sector energy-related CO₂e and emission reduction from the input-output perspective. The results show that the energy structure effect, energy intensity effect, and input structure effect are the main restraining factors for the growth of the light sector energy-related CO₂e, which are caused by the expansion of the energy utilization structure on the supply side of the light sector. The final demand effect is the factor promoting the growth of the light sector energy-related CO₂e. It reveals that the final demand products in the light sector still have high environmental degradation features. Policymakers should actively enhance and rationally adjust the demand for the light sector in numerous industries to avoid the resource waste caused by the excessive expansion of the light sector.