Stringent Policies Research Articles

The Prohibition of Forestation on Cultivated Land in China: A Difference-in-Differences Model Analysis of the Effects of Cutting Down Trees on Farmland Transfer

The implementation of China’s stringent farmland protection policy has resulted in the compulsory removal of trees from farmland, which has significantly impacted farmers’ willingness to transfer their land. To explain the impact of cutting trees on farmers’ land transfer, this study conducted a two-way fixed-effect difference-in-differences (DID) model based on a survey of 163 households in Daxiapo Village in China during 2020–2023. The results show that cutting trees significantly promotes farmland transfer among farmers. Moreover, the promotion effect of cutting trees is more pronounced when transferring land in than it is when transferring land out. For land plots with poor accessibility and fertility, the effects of transferring land out are more significant than for plots that are fertile and conveniently located. As a result, the prohibition of forestation on farmland has increased the contiguity of some land plots and improved the spatial configuration of farmland, but land fragmentation is still prominent on land owned by large-scale farmers. Therefore, this paper proposes two optimization scenarios to address the issue of farmland fragmentation and compares the feasibility of these plans in the short and long term. This paper suggests that short-term policies prohibiting forestation can trigger abrupt changes in farmland transfer patterns and drive further changes in the spatial configuration of farmland. Though some large-scale farming households were established through land transfer, the problem of plot fragmentation must be solved. This article presents several possible scenarios to aid in the design of more systematic policy systems to balance the protection of cultivated land, farmers’ willingness, and the spatial contiguity of cultivated land.

동태적 관점에서 본 환경정책과 생산성의 관계: 제조업을 중심으로

This study analyzed the effect of increasing environmental policy stringency on a firm's TFP from a dynamic perspective. For the analysis, the TFP of Korean manufacturing firms was estimated from 2006 to 2018, and the OECD's environmental policy stringency index was used. The baseline model was set to represent that one-year lag of environmental policy stringency affects TFP. And environmental policy stringency was considered by dividing it into Korea's environmental policy stringency and relative environmental policy stringency. The analysis model took a dynamic perspective by considering the persistence of TFP shock and the persistence of environmental policy stringency. Dynamic panel analysis was conducted to consider the persistence of TFP shocks, and the Porter hypothesis was tested by changing the time lags of environmental policy stringency. As results, it was found that the increase in one-year lag of environmental policy stringency decreased firm's TFP. This was shown in Korea's environmental policy stringency as well as in the relative environmental policy stringency. However, the increases in two-year and three-year lags of environmental policy stringency were shown to lead to productivity improvement, showing that the Porter hypothesis was supported after two periods. This result supports the Porter hypothesis as a more long-term phenomenon.

Transnational Citizen Journalism for Resistance and Solidarity: The Case of a Sinophone Community on Instagram

This study focuses on a new trend in journalism, which we conceptualize as transnational citizen journalism. We argue that the diasporic and transnational production and consumption of alternative and counter-hegemonic information by nonprofessional individuals have sparked fresh imaginations and opened up new spaces for journalism, particularly in authoritarian contexts. We specifically examine several prominent transnational citizen journalism projects that played a significant role in the large-scale protests against China’s stringent Covid-zero policy in late 2022. Through a content analysis of the multimodal content posted on these projects’ Instagram accounts, and semistructured interviews with account creators, we argue that these transnational citizen journalism projects have built a solidarity infrastructure, connecting individuals and communities who share the value of challenging authoritarianism but come from different localities and backgrounds. Its foundation rests on the passion of diasporic creators for their native country, the engagement of a largely youthful audience with public affairs, and a global platform enabling transnational information flow. This network also extends to international communities opposing oppression in nations such as Iran and Russia.

Do digitalization and green innovation limit carbon emissions? Evidences from BRICS economies

Rapidly evolving innovation and digitalization have captured the focus of policymakers and scholars regarding their potent role in influencing environmental quality. The present research analyzes the impact of these variables on the carbon emissions of Brazil, Russia, India, China, and South Africa economies from 1990 to 2021. This research also explores the impact of economic growth, quadratic green innovation, and green energy on carbon emissions. Using several panel diagnostic tests, this research validates heterogeneous slopes, the presence of cross-sectional dependence, and significant cointegration. Due to the mixed integration order, this research uses a cross-sectional augmented autoregressive distributed lag model, and the results show that economic expansion and green innovation are significant drivers of emissions in both the short and long run. However, digitalization, quadratic green innovation, environmental policy stringency, and green energy are significant in improving environmental quality and sustainability. The long-term results are tested by employing a series of parametric and nonparametric regressions. This research recommends further investment in environmental research and development, digital technologies, green innovation, and the strengthening of environmental policies to attain sustainable development.

Endogenous Preference for Nonmarket Goods in Carbon Abatement Decisions

Long-term decisions, such as decisions about carbon abatement, are usually based on the implausible assumption of constant social preference. This paper focuses on a specific case of market and nonmarket goods, and it investigates the optimal climate policy when social preference for them is also changed by climate policy in a seminal climate-economy model: the Dynamic Integrated Model of Climate and the Economy (DICE) model with a single objective to maximize market goods consumption. We amend DICE to study an optimization problem that trades off the values of market and nonmarket goods, considering endogenous preferences. The relative price of non-market goods grows over time because of increases in both relative scarcity and the appreciation that represents the preference of it. As nonmarket goods are increasingly valuable relative to market ones, climate damages on nonmarket goods are increasingly expensive. The social cost of carbon, which aggregated climate impact on both goods, is consequently higher. Because abatement decision affects the valuation of nonmarket goods in the utility function, unlike previous climate-economy models, we solve the model iteratively by taking the obtained abatement rates from the last run as inputs in the current run. The results in baseline calibration advocate a more stringent climate policy, where endogenous social preference to climate policy raises the social cost of carbon further by roughly 12%–18% this century. Moreover, neglecting changing social preference leads to an underestimate of nonmarket goods damages by 15%. Climate policy is self-reinforced if it favors the more expensive consumption good. The proposed method can be applied to other long-term problems with endogenous preferences. Funding: H. Liao appreciates the funding from the National Natural Science Foundation of China [Grants 71925008, 72293603, and 72488101].

Russia–Ukraine war and the cost of borrowing in the West African Economic and Monetary Union sovereign debt market

AbstractThis paper contributes to the emerging literature on the economic impacts of the Russia–Ukraine war by estimating the effects of that war on FCFA‐denominated sovereign bond yields and spreads for the West African Economic and Monetary Union (WAEMU) countries. Using ordinary least squares regressions on monthly panel data from January 2020 to December 2022, we found three key results. First, the Russia–Ukraine war significantly increased long‐term government bonds but had no impact on short‐term sovereign bond yields. Second, the Russia–Ukraine war raised sovereign bond spreads in WAEMU countries. These results suggest that WAEMU countries may consider reducing sovereign long‐term bond issuances and exploiting alternative financing sources, such as concessional financing, until the war and its corollary of global economic and financial imbalances are resolved. Finally, we found that the Central Bank of West African States's policy rate hikes increase governments' borrowing costs. Given this impact, we recommend complementing monetary policy with nonmonetary and fiscal policy measures to ease inflationary pressure from the Russia–Ukraine war. This approach may help mitigate the upward pressure driven by monetary policy tightening on sovereign borrowing costs in the WAEMU government securities markets.

The Breakthrough Path of Chemical Industry Practitioners under the Vision of “Carbon Neutrality”

Carbon neutrality is an unstoppable trend. In the context of increasingly stringent policy constraints, pushing regulatory rigidity to its limits, “chemists” face severe challenges in both survival and transformation. How to respond to these changes and achieve a breakthrough is the mission and responsibility of “chemists.” This article delves into the internal mechanisms of carbon neutrality, exploring the contributions and feasible paths for chemists within this vision. By enhancing management through park circularity and technological innovation through process intensification, chemists can achieve a victorious breakthrough under the carbon neutrality vision.

The Presence of Heavy Metals in Drinking Water and Its Possible Impact on the Development of Type 1 Diabetes in Children

This study aimed to determine the relationship between the concentration of heavy metals in drinking water and the number of type 1 diabetes mellitus (T1DM) cases in two regions of Poland. The number of births in 2015-16 in Pomeranian Voivodeship was 50,461, while the number of new T1DM cases was 219. In Lublin Voivodeship, the number of births in the same period reached 39,381, and the number of new T1DM cases was 221. The incidence of T1DM, calculated per 100 live births, amounted to 0.43 and 0.56 in Pomeranian and Lublin. The statistical analysis of collected data proved that the number of new T1DM cases in Pomeranian Voivodeship is correlated to the concentrations of selenium (Se; p < 0.0001), lead (Pb; p < 0.00001), cadmium (Cd; p < 0.00001), zinc (Zn; p < 0.00001) and arsenic (As; p = 0.00001). In the case of Lublin Voivodeship, the number of new T1DM cases was correlated to the concentrations of Se (p = 0.0000001), Pb (p < 0.000001), Cd (p = 0.0000001) and Zn (p < 0.00001) in drinking water. No correlation was found between the number of new T1DM cases and arsenic concentration in the drinking water samples from Lublin Voivodeship. The results indicated that environmental exposure to specific heavy metals may contribute to the risk of T1DM, underscoring the need for stringent environmental controls and public health policies to mitigate these risks.

Lockdown and Unrest: Inequality, Restrictions and Protests During COVID-19

This paper analyses how pre-pandemic levels of inequality across US counties have shaped the impact of the COVID-19 pandemic on the incidence of protests. The results from difference-in-differences and instrumental variable models using high-frequency weekly data show that more stringent measures to contain the pandemic increased the incidence of protests, but only in US counties with high levels of inequality before the start of the pandemic where grievances may have been initially stronger. The impact of government responses to COVID-19 on protests is largely explained by adverse changes in economic conditions in counties with the highest levels of pre-pandemic inequality. Policy stringency measures were also associated with more protests in the most unequal counties which voted for the Republican party in the 2016 elections and exhibited, at the start of the pandemic, lower levels of trust in the president and lower satisfaction with democracy.

Dynamic role of medium- and high-tech industries and environmental policy stringency in environmental sustainability: fresh insights from Dynamic Seemingly Unrelated Regression (DSUR) analysis.

Since the last two decades, carbon neutrality has become a primary target of all economies. Governmental environmental policies stand as the most potent tools in the arsenal when it comes to tempering the effects of climate change. Fostering the adoption of green energy sources and embracing energy efficiency principles may assume an essential role in upholding the standard of ecological integrity. The primary objective of this inquiry revolves around the meticulous analysis of the intricate interplay between economic growth, the trajectory of industrialization, the up-gradation of industrial sector structure, the integration of green energy paradigms, and the implementation of energy efficiency strategies and environmental policies in the frame spanning from 2000 to 2019. To tackle the matter of cross-sectional dependency and heterogeneity, second-generation cointegration estimators, Dynamic Seemingly Unrelated Regression (DSUR) and Augmented Mean Group (AMG), were employed to estimate long-run relationships. The consequences of DSUR and AMG indicate that while economic and industrial growth contributes to environmental degradation, renewable energy usage, and medium-high-tech industries mitigate the carbon emissions in selected countries. Further study results suggest that energy intensity positively impacts environmental degradation, which means energy efficiency helps mitigate CO2 emissions in these countries. This study also reveals that the degree of stringency in environmental policy negatively affects CO2 releases in the selected nations. Consequently, our study recommends the enhancement of the stringency of environmental policies, promoting environmentally friendly energy usage, the efficient use of energy, and the advancement of industries into medium-high-tech industries as effective ways to mitigate climate change in specific developing countries.

Variability in youth coach concussion education requirements across states.

Youth sports coaches play a critical role in proper concussion recognition and management, reinforcing the need for coach concussion education. As of 2021, most states have statutory and policy measures mandating concussion education for coaches. In practice, these mandates have been enacted through state legislatures and their respective youth sport governing bodies. Prior studies have found significant variations in the contents of state-level concussion risk reduction policies and have raised questions about their specificity. To expand on previous analyses to provide an overview of youth sports coach concussion education, highlighting variations in state policies and discrepancies between state mandates and youth sport governing bodies. This report utilized qualitative content analysis to characterize and compare U.S. state and governing body concussion education requirements for youth sport coaches. State concussion statutes were identified via the National Conference of State Legislatures and Open States databases, and governing body handbooks/bylaws were obtained via their websites. Two researchers independently coded the policies, and discrepancies were resolved through consensus meetings with additional youth traumatic brain injury experts. We found significant variability in educational requirements and their implementation. A majority (68%; n = 34) of states require the completion of concussion education training for coaches. Notably, many states designate responsibility for enforcement and implementation of provisions to another party but just four state statutes delineate explicit consequences for noncompliance. Additionally, only 12 state statutes extend mandates to noninterscholastic sports, limiting their reach. In most cases, independent sanctioning authorities implement more stringent policies than the minimum acceptable standard established by state law. Our findings provide a coded data set of youth coach concussion laws and independent sanctioning authority guidelines that can be used in future research efforts. Further research investigating a relationship between the strength of coach concussion education policies and relevant youth and adolescent concussion-related metrics is required.

The stringency and potential impact of climate laws and policies in the European Union and the 21OECD countries

In this paper, I offer a way to measure the stringency of climate change legislation for macro-comparative studies using publicly available data. The paper is innovative in that it examines the complex interrelationship between national, subnational, and supranational legislation using data from the FaoLex database on environmental laws and policies. It is also novel in that it conducts a contextualized comparison that takes into account different national conditions for climate change policies. The resulting index is the Gross Potential Impact (GPI), which is a measure of the stimulus of legislation before taking into account implementation issues. To demonstrate the validity of the index, findings from case study research on the European Union’s 2020 and 2030 climate and energy frameworks are used. The rest of the paper presents the GPI for 21 OECD countries for the period between 1990 and 2020.

Carbon Returns across the Globe

ABSTRACTThe pricing of carbon transition risk is central to the debate on climate‐aware investments. Emissions are tightly linked to sales and are available to investors only with significant lags. The positive carbon return, or brown‐minus‐green return differential, documented in previous studies arises from forward‐looking firm performance information contained in emissions rather than a risk premium in ex ante expected returns. After accounting for the data release lag, carbon returns turn negative in the United States and insignificant globally. Developed markets experience lower carbon returns due to intense climate concern shocks, while countries with stringent climate policies exhibit higher carbon returns.

Is a Driver's history of drunk driving and other traffic offenses linked to subsequent drunk driving and traffic crashes? A case study of Taiwan.

Crashes involving alcohol-impaired driving or driving under influence (DUI) are more likely to increase crash probability and severity. Many countries have adopted increasingly stringent policies in curbing DUI. Nevertheless, more and more studies show that while the total number of DUIs has reduced as a whole, DUI recidivism remains challenging. As such, this study seeks to research into whether it is possible to identify frequent DUI recidivists based on their traffic offense history, so that effective countermeasure could be put in place and in time. This study proposes using the drivers' traffic offense history and length of duration between two DUIs, the duration of re-offending, to identify frequent DUI recidivists. This approach is not only widely adopted in public health, but is also flexible in accommodating many modeling issues such as data censoring, recurrent events, and the inclusion of time-varying covariates to address questions like whether the probability of recidivism increases or decreases with subsequent DUI offenses or other traffic offenses or violations. Our major results show that: (1) For all drivers caught for a DUI, 10 % of them would be caught for another DUI within a year; (2) In contrast, the same one-year recidivism probability for those who accumulated two DUIs and two run-the-red-light could be as high as 17 %; (3) Each subsequent DUI increased the probability of a further DUI offense by 57 %; and (4) Each additional DUI offense was associated with 45 % increase in probability of being involved in a crash involving DUI. Overall, there are clear links between a driver's history of traffic offenses, DUI recidivism, and crash involvement, which could provide valuable information for authorities to profile potential recidivists and apply preventative measures in advance to reduce DUI-related crashes.

Procedural inclusiveness can mitigate trust challenges in environmental policymaking

ABSTRACT Decreasing political trust poses severe challenges, particularly in policy domains where solutions to societal problems are urgently needed. The reason is that low trust decreases citizens' support for policy interventions. Since trust is difficult to increase in the short to medium term, this study explores how negative trust effects on policy support could be mitigated through policymaking procedures. We connect literature on policy design processes and trust to argue that involving broader actor coalitions when designing a policy is likely to mitigate the negative trust effect on public policy support. We test this argument with an empirical focus on environmental policy, based on data from a survey experiment in Switzerland (N = 6116). Our study design combines a choice experiment with treatment conditions for procedural inclusiveness and various levels of policy stringency with a novel approach to measuring trust. The main finding is that greater inclusiveness in terms of engaging a broader actor coalition in the policy design process reduces otherwise negative effects of low trust on policy support. The main policy implication is that political trust challenges are not a predicament for failure in addressing urgent societal problems but can be offset by including broad actor coalitions in policy design processes.

Industrial Policy Environment and Private Equity Placement: Evidence from Chinese Real Estate Firms

Over the past four decades, China’s real estate industry has experienced rapid growth, accompanied by frequent regulatory interventions. These shifts present an ideal context for examining the characteristics of private equity placements (PEPs) under varying industrial policy environments. This study examines the PEPs of Chinese real estate firms from 2006 to 2023, calculating the cumulative abnormal returns during announcement periods and the transaction discounts across various regulatory phases. The analysis reveals significant positive announcement effects, even in times of policy tightening, with these effects becoming more pronounced during periods of policy relaxation. However, regression analyses suggest that the policy environment does not significantly impact the announcement effects. Contrary to traditional views, PEP discounts tend to be shallower during policy tightening and deeper during policy loosening. Further analysis indicates that investors are willing to accept smaller discounts in exchange for more valuable investment opportunities.

Heterogenous impact of energy security and environmental regulations on energy transition: Exploring the disparity between high-income and middle-income countries

This study investigates the impact of energy security, environmental regulation, economic complexity, globalization, and geopolitical risk on the process of energy transition. To this end Methods of Moment Quantile regression is employed on panel data of twenty-one high-income countries and nine middle-income countries from 1996 to 2018. Findings indicate that energy insecurity and environmental regulation have positive impact on energy transition in both high income and middle-income countries. However, high geopolitical risk significantly reduces the positive effects of energy insecurity on energy transition. Further, the quantile regression reveals the heterogenous impact of these factors across the energy transition distribution. In view of such findings, the policy implications suggest that the governments in high-income countries should take advantage of the favorable aspects of energy insecurity and geopolitical risk to transform their energy structure, enforce stringent environmental policies and manage the negative implications of economic complexity on energy transition. Governments in middle-income countries should try to use effectively the energy insecurity and the globalization process. There is a need to control the negative influence of geopolitical risk on energy transformation.

Identifying and tracking climate change mitigation strategies with a cluster-based assessment

To guide climate change mitigation efforts, we identify and characterize the different types of mitigation strategies countries adopted over the last two decades. The analysis exploits the novel and rich policy repository of the OECD’s Climate Actions and Policies Measurement Framework (CAPMF), covering more than 120 policy variables and 50 countries over 2000–2020. All countries in the dataset increased the number of climate policy instruments and their stringency over the past two decades, but at a different pace and using different policy instruments. Using statistical cluster analysis, we identify four distinct types of mitigation strategies, which differ in the composition and stringency of mitigation policies. Regression results show that emissions are negatively associated with the overall stringency of the country’s mitigation strategies. Evidence also supports the hypothesis that this relationship is stronger for mitigation strategies comprising a more diverse set of instruments, pointing to possible policy synergies.

Environmental policy stringency and foreign direct investment: A study considering the impact of country-income level

Do stricter environmental laws negatively impact FDI decisions every time? Using a panel of 38 countries from 2003 to 2020, this study investigates the relationship between environmental policy stringency and foreign direct investment (FDI) inflows. The policy index is decomposed into three sub-categories: market-based policies, non-market-based policies, and technology support policies. The moderating effect of high-income countries on these policies is also examined. The results show that environmental policy stringency, specifically non-market-based policies and technology support policies, have positive and significant impact on FDI inflows. The relationship between market-based policies and FDI inflows is not significant, but still positive. High income countries with strict environmental policies attract more FDI into their countries.

Impacts from air pollution on respiratory disease outcomes: a meta-analysis.

Air pollution is widely acknowledged as a significant factor in respiratory outcomes, including coughing, wheezing, emergency department (ED) visits, and even death. Although several literature reviews have confirmed the association between air pollution and respiratory outcomes, they often did not standardize associations across different studies and overlooked other increasingly impactful pollutants such as trace metals. Recognizing the importance of consistent comparison and emissions of non-exhaust particles from road traffic, this study aims to comprehensively evaluate the standardized effects of various criteria pollutants and trace metals on respiratory health. We conducted a comprehensive meta-analysis of peer-reviewed journal articles on air pollution and respiratory outcomes published between 1 January 2000, and 1 June 2024. The study included children (age < 18 years), adults (age ≥ 18 years), and all age groups exposed to criteria pollutants established by the US Environmental Protection Agency National Ambient Air Quality Standards and over 10 trace metals. Using databases, such as PubMed, MEDLINE, Web of Science Core Collection, and Google Scholar, we identified 579 relevant articles. After rigorous screening and quality assessment using the Newcastle-Ottawa Scale, 50 high-quality studies were included. We converted various reported outcomes (e.g., odds ratios, relative risk, and percent increase) to a standardized odds ratio (OR) for comparability and performed meta-analyses using R 4.4.0 and related packages, ensuring the robustness of our findings. Our meta-analysis indicated significant associations between air pollutants and respiratory outcomes. For particulate matter with diameter ≤ 2.5 μm (PM2.5), the overall ORs for children, adults, and combined age groups were 1.31, 1.10, and 1.26, respectively, indicating a consistent positive association. Similar positive associations were observed for particulate matter with diameter ≤ 10 μm (PM10) and other pollutants, with children showing higher susceptibility than adults. The analysis of trace metals also showed significant associations; however, these findings require cautious interpretation due to the small number of studies. Our study supports associations between air pollutants, including non-exhaust trace metals, and respiratory outcomes across different age groups. The findings underscore the need for stringent environmental health policies and further research, especially in regions with higher pollution levels. The future studies should consider long-term and short-term exposures separately and include diverse populations to improve the accuracy and generalizability of the results.