Effects Of Heterogeneity Research Articles

Heterogeneous effects of information and communication technology development on digital financial consumer protection: Evidence from the global sample

ABSTRACT This study primarily examines the influence of Information and Communication Technology (ICT) on Digital Financial Consumer Protection (DFCP), utilizing a dataset spanning 88 countries globally from 2014 to 2018, within the context of consumer welfare under diverse socioeconomic conditions. The research confirms a positive relationship between information and communication technology (ICT) evolution and digital finance consumer protection (DFCP) in OECD countries with inclusive institutions, competitive markets, and solid educational foundations. Conversely, a negative correlation is observed between ICT growth and DFCP in countries with moderate gender inequality. The study further confirms that ICT development positively influences DFCP due to contextual conditions (i.e. cybersecurity index, political stability, higher educational level, and market quality). Policy implications emphasize the need to address information inequality and protect consumer rights in the digital era. Measures to curb market monopolies of major tech companies and combat unauthorized data usage are recommended. Additionally, enhancing digital literacy is crucial for harnessing the benefits of ICT and promoting financial consumer welfare. Establishing a practical code of conduct aligned with market needs is also essential for ensuring consumer protection.

The impact of children's access to public health insurance on their cognitive development and behavior

While a large literature examines the immediate and long-run effects of public health insurance, much less is known about the impacts of total program exposure on child developmental outcomes. This paper uses an instrumental variable strategy to estimate the effect of cumulative eligibility gain on cognitive and behavioral outcomes measured at three points during childhood. Our analysis leverages substantial variation in cumulative eligibility due to the dramatic public insurance expansions between the 1980s and 2000s. We find that increased eligibility improves child cognitive skills and present suggestive evidence on better behavioral outcomes. There are notable heterogeneous effects across the subgroups of interest. Both prenatal eligibility and childhood eligibility are important for driving gains in the test scores at older ages. Improved child health is found to be a mediator of the impact of increased eligibility.

Macroeconomic perceptions, financial constraints, and anomalies

This paper studies the heterogeneous effects of subjective macroeconomic expectations on the cross-section of equity returns. We argue that an upward revision in expectations of macroeconomic productivity might be accompanied by an excessive increase in investment and external financing, inflated current equity prices, and thus lowered subsequent returns, particularly for financially constrained firms. Thus, following upward revisions in expectations of macroeconomic productivity, subsequent returns are relatively low for small firms, value firms, low-investment firms, risky firms, unprofitable firms, low-quality firms, and financially distressed firms—all of which are more financially constrained. In sharp contrast, following downward revisions in expectations of macroeconomic productivity, these categories of firms earn relatively high subsequent returns. We find that revisions in subjective macroeconomic expectations induce strong predictable time variation in a large set of anomalies. In particular, favorable revisions in expectations of macroeconomic productivity predict significantly stronger profitability, quality, distress, and low-risk anomalies but weaker value, investment, and size anomalies.

Does green transportation affect carbon emission efficiency? Evidence from a quasi-experimental study in China

The establishment of a low-carbon transportation system (LCTS) holds prominent importance in advancing modern transportation development and achieving green growth. Employing the LCTS pilot policy as a shock to green transportation construction in China, we investigate its influence on carbon emission efficiency (CEE) using urban panel data from 2006 to 2021. Results based on difference-in-differences (DID) show that LCTS contributes to increasing CEE following such a pilot policy. This finding still holds after we perform a propensity score matching DID method, double machine learning, instrumental variable method, heterogeneous treatment effect, and other robustness checks. Meanwhile, the mediation analysis shows that the increased CEE can be accounted for by spurring green innovation activities. Moreover, the moderation outcomes reveal that FinTech exerts a positive moderating influence on the increased impacts of LCTS on CEE. Heterogeneity analysis shows that LCTS's impact on CEE varies by region and development level. Overall, our research stresses the importance of green transportation construction in shaping CEE, which has significant practical and theoretical implications for scholars and policymakers.

Causal Relationship Between Gastroesophageal Reflux Disease and the Risk of Chronic Rhinosinusitis: Insights from Multivariable and Mediation Mendelian Randomization Analysis.

Background: Previous studies have shown an association between chronic rhinosinusitis (CRS) and gastroesophageal reflux disease (GERD). However, the findings of these studies are controversial, and evaluating this association could help in the treatment of CRS. Thus, we aimed to clarify the relationship between GERD and CRS. Methods: We conducted a Mendelian randomization (MR) study. Pooled data on CRS, GERD, and their associated risk factors were extracted from large genome-wide association studies. Independent single-nucleotide polymorphisms were rigorously screened as instrumental variables. Causal associations between GERD and CRS were assessed, and mediation analyses were performed using multivariate and 2-step MR. Asthma served as a mediator because of its association with both CRS and GERD. Sensitivity tests were also performed. Results: MR analysis showed that genetically predicted GERD was associated with an increased risk of CRS (P < .001). Multivariate MR analysis showed that the effect of GERD on CRS was relatively independent. Mediation analysis showed that asthma mediated the association with a mediation effect of 21.07% (95% CI, 2.70%-40.18%). Sensitivity analyses did not reveal any significant effects of pleiotropy and heterogeneity. Conclusions: We found a causal relationship between genetically predicted GERD and an increase in the risk of CRS. As a mediator, asthma contributed to the effect of GERD on CRS. This study provides high-quality causal evidence for the prevention of CRS.

The Heterogeneous Effects of Monetary Policy on Labor Income: Disentangling the Extensive and Intensive Margins

The Heterogeneous Effects of Monetary Policy on Labor Income: Disentangling the Extensive and Intensive Margins

Dynamic spillovers of various uncertainties to Russian financial stress: Evidence from quantile dependency and frequency connectedness approaches

Being geopolitically exposed, the Russian financial sector is vulnerable to various ­uncertainties. The aim of the article is to examine the quantile movements and dynamic connectedness of uncertainty indices with the financial stress index of Russia employing the cross-quantilogram (CQ), recursive cross-quantilogram (R-CQ) and TVP‑VAR dynamic connectedness using monthly data from July 2011 to August 2023. It is found that for Tweeter-based Economic Uncertainty (TEU) and Global Economic Policy Uncertainty (GEPU), there is strong positive dependence on the Russian Financial Stress Index (RFSI) in the bearish states of market in the initial memory, and the strength of this positive spillover effect gradually wilts towards longer memory structures. Unlike the GEPU, Russian Economic Policy Uncertainty (REPU) has long-lasting heterogeneous spillover effects on RFSI. Though there are significant positive, as well as negative, spillover ­effects of Global Geopolitical Risk (GGPR) on RFSI in the initial memory, across the longer­ memory structures these entire heterogeneous effects wash out. However, Russian Geopolitical Risk (RGPR) have long-lasting heterogeneous spillover effects on RFSI, unlike GGPR. GEPU, GGPR and RGPR were the net transmitters while RFSI, TEU and REPU were net receivers of volatility shocks. Since RFSI shows resilience over the long-term horizon to global geopolitics and economic uncertainty, investors are advised to keep patience and hold their capital/investment up to a minimum of 1 year in Russian financial system in order to be rewarded with positive returns.

Capturing Urban Heterogeneity Enhances Tropical Cyclones Simulation in Houston

AbstractUrbanization in the coastal region has increased socioeconomic losses from landfalling tropical cyclones (TCs). Although previous studies have explored the broad impacts of urbanization on TCs, the effect of heterogeneity caused by local intra‐urban variability has not been examined. To address this gap, this study utilized the urban Local Climate Zone (LCZ) to capture the urban landscape heterogeneity and the impacts of this representation on the simulation of the post‐landfall TCs characteristics in Houston. Taking the case of two recent TCs: Hurricane Harvey (occurred in 2017) and Tropical Storm Imelda (occurred in 2019), the study evaluated the impact of urban heterogeneity on 10‐m winds, 2‐m temperature, land surface temperature, and precipitation across Houston. The consideration of intra‐urban heterogeneity using LCZ can improve the 10‐m winds, 2‐m temperature, and spatial pattern of land surface temperature. Although the cumulative rainfall remained largely similar within the experiments (with and without LCZ), incorporating intra‐urban heterogeneity notably modified the spatial structure of urban rainfall, particularly in simulating heavy rainfall hot spots. These findings are consistent for both TCs and demonstrate the positive impact of incorporating intra‐urban heterogeneity on the landfalling TC simulations over the Houston area.

Exploring the relationship between built environment and bike-sharing demand: Does the trip length matter?

ABSTRACT Over the past decade, bike-sharing has garnered significant attention in both research and practice. As a manpower-driven transportation mode, the usage of bikes seems more sensitive to trip length, since one could take a shared bike to a destination where is too far to walk, or choose it for simply replacing walking when going to a nearby place. This paper identifies a threshold of bike-sharing trip lengths from bike-sharing trace data, and employs the Semiparametric Geographically Weighted Poisson Regression model to investigate the relationship between built environment and bike-sharing demand with different lengths by considering the heterogeneity in the relationship. Results show that built environment has heterogeneous effects on the bike-sharing demand in urban areas, and the effects differ across groups with trip lengths. The findings contribute to understanding the relationships between built environment and bike-sharing demand, and providing support for the placements and dispatching of shared bikes.

An easier life to come for mosquito researchers: field-testing across Italy supports VECTRACK system for automatic counting, identification and absolute density estimation of Aedes albopictus and Culex pipiens adults

BackgroundDisease-vector mosquito monitoring is an essential prerequisite to optimize control interventions and evidence-based risk predictions. However, conventional entomological monitoring methods are labor- and time-consuming and do not allow high temporal/spatial resolution. In 2022, a novel system coupling an optical sensor with machine learning technologies (VECTRACK) proved effective in counting and identifying Aedes albopictus and Culex pipiens adult females and males. Here, we carried out the first extensive field evaluation of the VECTRACK system to assess: (i) whether the catching capacity of a commercial BG-Mosquitaire trap (BGM) for adult mosquito equipped with VECTRACK (BGM + VECT) was affected by the sensor; (ii) the accuracy of the VECTRACK algorithm in correctly classifying the target mosquito species genus and sex; (iii) Ae. albopictus capture rate of BGM with or without VECTRACK.MethodsThe same experimental design was implemented in four areas in northern (Bergamo and Padua districts), central (Rome) and southern (Procida Island, Naples) Italy. In each area, three types of traps—one BGM, one BGM + VECT and the combination of four sticky traps (STs)—were rotated each 48 h in three different sites. Each sampling scheme was replicated three times/area. Collected mosquitoes were counted and identified by both the VECTRACK algorithm and operator-mediated morphological examination. The performance of the VECTRACK system was assessed by generalized linear mixed and linear regression models. Aedes albopictus capture rates of BGMs were calculated based on the known capture rate of ST.ResultsA total of 3829 mosquitoes (90.2% Ae. albopictus) were captured in 18 collection-days/trap/site. BGM and BGM + VECT showed a similar performance in collecting target mosquitoes. Results show high correlation between visual and automatic identification methods (Spearman Ae. albopictus: females = 0.97; males = 0.89; P < 0.0001) and low count errors. Moreover, the results allowed quantifying the heterogeneous effectiveness associated with different trap types in collecting Ae. albopictus and predicting estimates of its absolute density.ConclusionsObtained results strongly support the VECTRACK system as a powerful tool for mosquito monitoring and research, and its applicability over a range of ecological conditions, accounting for its high potential for continuous monitoring with minimal human effort.Graphical

Land fragmentation, adoption intensity of climate-smart agricultural practices, and economic performance of banana farmers in China

ABSTRACT Land fragmentation (LF) may influence farmers’ choices of agricultural practices to adapt to climate change in developing countries. Based on the primary data collected from 422 banana growers in China, this work first assesses the impact of LF on farmers’ adoption intensity of climate-smart agricultural practices (CSAPs) using the instrumental variables (IV) method, and explore the heterogeneous effects of adoption intensity of CSAPs and LF on farmers’ economic performance using the quantile regression (QR) method. The estimated results provide the first insight that LF is positively associated with farmers’ adoption intensity of CSAPs in agricultural production. China has a large population and less cultivated lands for each farmer household. Thus, farmers are inclined to use more CSAPs on these fragmented lands to sustain farm productivity and net profits under climatic shocks. Furthermore, we find that the adoption intensity of CSAPs significantly enhanced the economic performance of banana farms. Specifically, the higher intensity of CSAPs improved farmers’ banana income across the selected quantiles, while it increased net farm returns only for farmers with a high-level income. However, LF exerted a negative impact on farmers’ economic performance, and it is statistically significant for low-income farmers.

Coupled effect of microstructure heterogeneity and hydrogen on local embrittlement of CGHAZ and IC-CGHAZ in X65 pipeline steel

The local embrittlement of the coarse-grained heat-affected zone (CGHAZ) and intercritically reheated CGHAZ (IC-CGHAZ) in X65 pipeline steel was investigated using an in situ crack-tip opening displacement test in air and H2S, combined with microstructure-based simulation. The IC-CGHAZ exhibited significantly lower cracking resistance, with the fracture toughness reduced by 50% compared to CGHAZ in both environments (0.160 mm in air and 0.017 mm in H₂S for IC-CGHAZ, compared to 0.307 mm in air and 0.034 mm in H₂S for CGHAZ). The martensite/austenite (M/A) constituents showed exceptionally higher intrinsic hardness than the ferrite matrix. The continuous distribution of M/As along the prior austenite grain boundaries resulted in local hardening and the formation of heterogeneous hard zones in IC-CGHAZ. Such microstructure heterogeneity resulted in the unique partitioning of plastic strain localization and stress triaxiality that promotes premature fracture, particularly with the coupled effect of hydrogen. This study provides a novel perspective on the fracture mechanisms and the typical fracture morphology of IC-CGHAZs in pipeline steel under the coupled effect of microstructure heterogeneity and hydrogen.

Intellectual property protection and total factor productivity of enterprises: A quasi-natural experiment of intellectual property courts

This study reveals that the establishment of intellectual property courts can significantly improve the TFP of enterprises. After a series of robustness tests, the conclusion is still valid. Mechanistic research finds that the establishment of intellectual property courts can promote TFP of enterprises by strengthening regional law enforcement, improving the quality of enterprise innovation, and enhancing the regional business environment. Intellectual property rights protection has heterogeneous effects on different ownership types, enterprise sizes, and product competitive position. Intellectual property protection is highly important for improving the total factor productivity of enterprises and achieving high-quality economic development.

Food inflation and monetary policy in emerging economies

The rising inflationary pressure has been linked with supply-side disruptions and rising energy and food prices against the background of the COVID-19 pandemic and the Russia-Ukraine crisis. This paper investigates the role of monetary policy in stabilizing food inflation in emerging economies (India, China, Brazil, Russia, and South Africa). We also investigate the causal linkage between monetary policy and food inflation using frequency domain-based Granger causality and find strong feedback causal effects between food inflation and monetary policy changes. Our results are robust to different estimation methodologies, possible asymmetry, and alternative model specifications, which include climate change. While oil prices, world food prices, and exchange rates have heterogeneous effects on domestic food inflation, a contractionary monetary policy stance leads to a decline in domestic food inflation in all countries. Thus, we provide strong evidence that well-coordinated macroeconomic policies in emerging economies are essential for stabilizing food inflation.

Understanding the heterogeneous health effect of retirement by tracking daily activities

This paper estimates the heterogeneous effects of retirement on health and the allocation of time to various activities, utilizing the American Time Use Survey (ATUS) from 2003 to 2019. The early retirement age for Social Security is used as an instrument. The findings reveal distinct outcomes among different demographic groups. Notably, retirement has a positive impact on the health of high-educated women, while yielding non-significant or slight negative effects for other segments of the population. This disparity in health outcomes can be attributed to the role of sedentary activities. High-educated women tend to reduce their engagement in sedentary activities post-retirement, resulting in improved health outcomes, whereas other groups experience a significant increase in such activities. These divergent effects, observed across gender and education levels, provide valuable insights into understanding the mechanism regarding retirement’s impact on health.

Evaluating the impact of price caps - Evidence from the European roam-like-at-home regulation

The roam-like-at-home regulation (RLAH) eliminated all mobile roaming surcharges to European consumers traveling within Europe. We measure the causal impact of the regulation on European roaming traffic, using the Rest of the World as a control group. We find large and heterogeneous effects on retail and wholesale traffic volumes and revenues. To evaluate the welfare effects of the regulation, we develop a framework that includes consumer surplus, retail and wholesale profits. The gains in consumer surplus are large, and mainly stem from data services. The consumer gains are proportionately larger in small, open economies and in countries with previously high roaming prices. Finally, total welfare increases considerably, because the consumer surplus gains outweigh profit losses. As such, the removal of market power more than compensates for a distortion from a possible overconsumption at zero surcharges.

The effect of rock mechanical heterogeneity on induced stress and initiation pressure of multi-cluster fracturing

The stress interference between fracturing clusters in horizontal wells is key in affecting the initiation and propagation of multi-cluster fractures. However, in reservoirs such as shale, there are often changes in the mechanical properties of the rock along the direction of the wellbore. Such changes are often not considered in models for multi-fracture propagation. As a result, the impact of rock mechanical heterogeneity on induced stress is not fully understood. Therefore, in this paper, a prediction model of the three-dimensional induced stress field of hydraulic fractures is established, taking into account mechanical heterogeneity. Combined with the prediction model of fracturing pressure, the changes in induced stress and initiation pressure under different conditions are analyzed. The results indicate a significant difference between the induced stress results considering mechanical heterogeneity and those considering only a single homogeneous region. The change in elastic modulus has a profound influence on induced stress and initiation pressure. Perforating at locations with low elastic modulus in situ can help reduce initiation pressure. Additionally, temporarily blocking the wellbore and reducing the flow rate to decrease the net pressure in the fractures can facilitate more fractures to initiate.

Multi-round decentralized dataset distillation with federated learning for Low Earth Orbit satellite communication

Satellite communication and Low Earth Orbit (LEO) satellites are important components of the 6G network, widely used for Earth observation tasks due to their low cost and short return period, making them a key technology for 6G network connectivity. Due to limitations in satellite system technology and downlink bandwidth, it is not feasible to download all high-resolution image information to ground stations. Even in existing federated learning (FL) methods, sharing well-trained parts of the model can still bottleneck with increasing model size. To address these challenges, we propose a new federated learning framework (FL-M3D) for LEO satellite communication that employs multi-round decentralized dataset distillation techniques. It allows satellites to independently extract local datasets and transmit them to ground stations instead of exchanging model parameters. Communication costs depend only on the size of the synthesized dataset and do not increase with larger models. However, the heterogeneity of satellite datasets can lead to sample ambiguity and decreased model convergence speed. Therefore, we propose distilling the datasets to mitigate the negative effects of data heterogeneity. Through experiments using real-world image datasets, FL-M3D reduces communication volume in simulated satellite networks by approximately 49.84% and achieves improved model performance.

Pattern dynamics of networked epidemic model with higher-order infections.

Current research on pattern formations in networked reaction-diffusion (RD) systems predominantly focuses on the impacts of diffusion heterogeneity between nodes, often overlooking the contact heterogeneity between individuals within nodes in the reaction terms. In this paper, we establish a networked RD model incorporating infection through higher-order interaction in simplicial complexes in the reaction terms. Through theoretical and numerical analysis, we find that these higher-order interactions may induce Turing instability in the system. Notably, the relationship between the size of the Turing instability range and the average 2-simplices degree within nodes can be approximated by a quadratic function. Additionally, as the average 2-simplices degree increases, the amplitude of the patterns exhibits three distinct trends: increasing, decreasing, and initially increasing then decreasing, while the average infection density increases consistently. We then provide a possible explanation for these observations. Our findings offer new insights into the effects of contact heterogeneity within nodes on networked pattern formations, thereby informing the development of epidemic prevention and control measures.

Stochastic hazard assessment framework of landslide blocking river by depth-integrated continuum method and random field theory

AbstractLandslide-induced barrier dams pose a threat to the safety of humans, livestock and nearby infrastructures. The efficient assessment of landslide blocking river is crucial for disaster prevention and mitigation solutions. This study proposes a novel stochastic assessment framework to evaluate the landslide blocking river through the prediction of their deposition depths and considering the heterogeneity of shear strength parameters on the potential sliding surface. The depth-integrated continuum method (DICM) is used to simulate the landslide runout process. Using an enhanced Karhunen-Loève expansion (KLE) method, the spatial variations in soil's shear strength parameters are modeled by random fields to incorporate the effects of soil's spatial heterogeneity on the landslide deposition pattern. Subsequently, the multi-response surrogate model is constructed to relate the random field variables to the deposition depths based on extreme gradient boosting (XGBoost). To improve the performance of the surrogate model, principal component analysis (PCA) and sliced inverse regression (SIR) methods are employed for the dimension reduction of output and input variables, respectively. Furthermore, the algorithm for river blockage identification is developed to search for the deposition ridges. To demonstrate the capability of the stochastic assessment framework, an example of the first Baige landslide in Tibet, China is simulated, and the affected region and deposition depths of the landslide are predicted to calculate the probability of river damming. The presented methodology provides a practical means for improving the landslide blocking river prediction and new insights for early warning and risk mitigation.