On the role of government spending, trade openness and terms of trade in Iran's agricultural growth.

Agriculture is recognized as the driving force of economic growth, especially in developing economies. It plays a crucial role in Iran's economy especially during economic sanctions as it is a source of income for rural people, food security, job creation, and foreign exchange earnings. The present study investigates the impact of government spending, trade openness, and terms of trade on agricultural growth in Iran using annual data for the period 1978-2021 by application of the nonlinear autoregressive distributed lag model (NARDL). The results confirmed asymmetry in the impact of all three variables of interest on agricultural growth. In other words, the superiority of the nonlinear specification in explaining the relationships between variables was confirmed. To be specific, a positive and negative shock to government spending affects sector growth by 0.18 and -0.05 percent, respectively in the long run. The same finding was found for trade openness with 0.22 and -0.11 impact coefficients for positive and negative shocks, respectively. Moreover, we could not find significant impact for terms of trade.

New government must prioritise veterinary legislative reform.

Now that the General Election is over, and a new government is in place, BVA is continuing its campaigning efforts to maintain momentum towards reform of the Veterinary Surgeons Act.

Drivers and collaborative governance of public health emergency response in the context of digital city.

Introduction: With the frequent occurrence of public health events, the government inevitably makes many mistakes in emergency management. In modern emergency management, it is particularly important to promote the diversification of emergency management subjects and improve the government's emergency management ability. Methods: In order to make up for the deficiency of government's participation in public health emergency management, this paper analyzes the driving factors and driving effects of enterprises' participation in public health emergency response under the background of digital city. A fully explained structural model is used to analyze the relationship between the different drivers. In addition, the spatial and temporal distribution characteristics of public health events were analyzed through spatial auto-correlation. On this basis, the government cooperative governance strategy is discussed. Results and discussion: The results show that in the context of digital cities, there are 14 driving factors for enterprises to participate in public health emergency response. The most important factors are the company's own development needs, relative technical advantages and so on. The driving efficiency is mainly concentrated in three aspects: psychology, resources and structure. Public health events have periodicity in time distribution and regional differences in spatial distribution. The significance of this study is to help the government improve the emergency management ability from different angles.

Toward better pandemic governance and preparedness: South Korea's whole-of-nation approach to COVID-19.

BACKGROUND: The profound impact of coronavirus disease (COVID-19) has led to an increased demand for sustainable pandemic governance practices. This study explored emerging hybrid governance practices that provide robust evidence on how to address the complex challenges of pandemics effectively. South Korea, which was severely affected by COVID-19, has implemented a novel governance approach using a whole-of-nation (WoN) model. This hybrid pandemic governance approach, which integrates both whole-of-government and whole-of-society approaches, has enabled synergistic and cohesive multi-sectoral coordination among all stakeholders (public authorities, private enterprises, and civil society) to address multifaceted challenges collectively and strengthen their resilience capacity. This study investigated South Korea's WoN practices and their embedded context and identified key governance enablers facilitating this approach. METHODS: This study employed a case study design based on an extensive analysis of policy and program documents, drawing on South Korea's publicly available data from January 1, 2020 to March 30, 2023. It assessed six system-level collaborative pandemic governance practices and key enablers, all of which were intended to fortify the country's pandemic response. RESULTS: The primary areas of the country's WoN governance practices for COVID-19 control were (i) whole-of-government policy-making and response, (ii) COVID-19 testing system, (iii) digital surveillance of COVID-19, (iv) COVID-19 triage and treatment system, (v) domestic vaccine production, and (vi) community engagement. Key governance enablers for implementing the WoN model were establishing a legal foundation, ensuring decisive and strong governance and leadership, increasing public investment, applying a whole-of-health approach with augmented investment in public health, enhancing crisis communication, and mobilizing local leaders and civil society organizations in the national public health response. CONCLUSIONS: In exploring innovative approaches to pandemic governance for increased efficacy, responsiveness, and impact, the WoN approach emerged as highly relevant. This example of emerging practice allows policy-makers to re-evaluate their governance strategies and initiatives to improve multi-agency partnerships across the country in their pandemic-preparedness planning.

Knowledge, attitudes, and practices of government workers on zoonotic parasites in pet animals: a study in Central Gondar Zone, Ethiopia.

BACKGROUND: Parasitic zoonoses are infections transmitted between vertebrate animals and humans, posing serious public health risks and significant economic consequences. The study aimed at assessing government workers' knowledge, attitudes, and practices (KAP) regarding zoonotic parasites of pet animals in Ethiopia's central Gondar zone. METHODS: A cross-sectional study was carried out in selected towns of Central Gondar Zone, Northwest Ethiopia from January 2022 to August 2022. Four hundred randomly selected government employees participated in the study. Data were collected through semi-structured questionnaire administered by face-to-face interview. The chi-squared (χ2) was calculated for association and p-value less than 0.05 was considered as significant. RESULTS: A 57.25% of respondents were males and 42.75% were females. Most of the respondents, 67.5%, had completed college/university education. About 60% of the respondents had 'high knowledge', 57.25% had 'positive attitude', and 73% had 'good practice' regarding pet animals as a source of zoonotic parasites. The chi-square analysis revealed a significant discrepancy (p < 0.05) between knowledge with sex, educational level, and position in the house. The attitude level was significantly associated (p < 0.05) with educational level, religious view, and service year. Significant association was also observed (p < 0.05) between practice level of the respondents and educational level and marital status. The study also showed a significant association between knowledge and attitude (χ2 = 40.4, p ≤ 0.001), knowledge and practice (χ2 = 34.9, p ≤ 0.001), and attitude and practice (χ2 = 12.76, p = 0.013) of the respondents. CONCLUSION: Although our results revealed that more than half of the participants had good knowledge, attitudes, and practices regarding zoonotic parasites of pet animals, enhanced routine hygienic practices and regular awareness creation programs are recommended to bridge existing gaps.

AI and biosecurity: The need for governance.

Governments should evaluate advanced models and if needed impose safety measures.

The relationship between good governance, social support, and perceived discrimination with mental health through the mediation role of quality of life: a cross-sectional path analysis in Iran.

BACKGROUND: Recognizing the established link between social determinants of health, such as social support, good governance, and perceived discrimination, and individual mental health, this study aims to delve deeper into the specific relationships within the Iranian adult population. It seeks to elucidate the potential mediating role of quality of life in the association between mental health disorders (MHDs) and these social factors. METHODS: This cross-sectional study employed path analysis to investigate the relationships between social determinants of health and MHDs among 725 Iranian adults in Tabriz, Northwest Iran. Data collection occurred between March and September 2022, utilizing a multi-stage and cluster sampling approach. Good governance, social support, perceived discrimination, MHDs, and quality of life were assessed using valid questionnaires. Statistical analysis was conducted using SPSS-24 and Lisrel-8 software, with a significance level set at p < 0.05. RESULTS: This study found that nearly 70.0% of the participants reported experiencing mental health problems. The path analysis showed that good governance had a significant indirect and negative effect on MHDs via quality of life (ß = -0.05; P < 0.05). Major racial discrimination had a positive relationship in the direct and indirect paths (ß = 0.24; P < 0.01). While, social support was a directly and indirectly significant predictor of decreased MHDs (ß = -0.17, p < 0.01). Furthermore, quality of life had a negative relationship on the indirect path with MHDs (ß = -0.24, P < 0.01). CONCLUSIONS: This study reveals a significant burden of mental health issues among Iranian adults. It highlights the crucial role of social factors like good governance, social support, and perceived discrimination in shaping mental health through their impact on quality of life. Consequently, addressing these factors through improved governance, strengthened social support systems, and active efforts to reduce discrimination is essential for promoting mental well-being.

Impact of corporate environmental uncertainty on environmental, social, and governance performance: The role of government, investors, and geopolitical risk.

Corporations face multifaceted environmental uncertainties (EU) in today's dynamic global economic environment. Such uncertainties profoundly affect corporate operations and pose significant challenges to their environmental, social, and governance (ESG) performance. Therefore, using data from Chinese A-share listed corporations from 2009 to 2021, we empirically analyze the impact of the EU on ESG performance. The results demonstrate that the EU significantly negatively impacts ESG performance, indicating that corporations frequently find it difficult to implement and maintain high-standard ESG policies and practices effectively. Additionally, they reveal that the EU inhibits the improvement of ESG performance by increasing corporate financing constraints (KZ). Lastly, this study explores the role of government subsidies (GOV), investor attention (IA), and geopolitical risks (GPR) as moderating variables. We discover that GOV can mitigate the negative impact of the EU on KZ because they provide additional resources that help corporations maintain their ESG in uncertain environments. Furthermore, IA can reduce the adverse impact of KZ on ESG. Positive moderating effects result from ESG issues; the capital they provide effectively reduces corporate KZ, thus enabling corporations to maintain good ESG performance despite operating in highly uncertain environments. However, due to the increased asymmetry of information in economic markets caused by geopolitical tensions, GPR exacerbates the negative impact of the EU on ESG performance, thus leading to an increase in KZ. These findings offer new perspectives on understanding how these moderating effects affect corporate ESG strategies.

Effect analysis of government intervention on scale-heterogeneous farmers' behavior of groundwater exploitation.

Government intervention has become an important measure to restrain groundwater overexploitation. This paper analyzes the effect of three types of government intervention measures, namely, guidance, incentive and constraint, on farmers' groundwater utilization behavior, from the perspective of scale-heterogeneity, using general quantile regression model, by survey data of 1122 households in well irrigation area of north China. The results showed that: (1) the incentive and guiding measures have negative effects on farmers' groundwater usage, while the effect of restrictive measures is not obvious. The guided policy is superior to the incentive measure as to governance effect. (2) With the increase of farmers' land scale, the influence of incentive measures shows a trend of weakening, and the effect of guided measures on groundwater demand reduction of farmers is stronger. When it comes to the different point of water consumption, when at the point level of 0.25, the incentive measures have the most obvious inhibitory effect. With the increase of water consumption of farmers, the guided measures begin to play a core role. The effect of restrictive measures is not obvious with the increase of water consumption. (3) In addition, farmers' irrigation water consumption also is affected by gender, cognition of water resources shortage, ecological cognitive level, acquisition ability of disaster information, village rain conditions, the degree of water rights market development, feelings of water fee increase, irrigated disputes in the village, collective economic level of village. The selection of policy tools is flexible according to the farmers' land scale for groundwater over-extraction control.

The impact of low-carbon city pilot policy on urban green technology innovation: Based on government and public perspectives.

Global climate change has caused a series of environmental problems, green technology innovation is necessitating strategic responses, but the impact of low-carbon city pilot policy on urban green technology innovation is unclear. Based on panel data from 285 Chinese cities during 2005-2022, this study employs the Difference in Difference method to examine the impact of low-carbon city policy on urban green technology innovation. The results show that (1) The low-carbon city pilot policy promotes urban green technology innovation. (2) The low-carbon city pilot policy promotes urban green technology innovation through government green input and public engagement. (3) New infrastructure enhances the impact of low-carbon city pilot policy on quantity of green technology innovation. (4) Compared with the Yangtze River Economic Belt, the low-carbon city policy has a greater influence on urban green technology innovation in the Yellow River Basin.The findings provide policy insights for the construction of low-carbon pilot cities.

Calls for the Welsh Government to back reform of veterinary legislation.

At our annual Welsh dinner, BVA President Anna Judson called on the Welsh Government to support urgent reform of the Veterinary Surgeons Act and prioritise the delivery of key animal welfare legislation.

Does government environmental attention drive green total factor productivity? Evidence from China.

Based on city-level panel data spanning 2008 to 2021, this study investigates the impact of government environmental attention (GEA) on green total factor productivity (GTFP). The findings suggest that increased GEA substantially enhances the growth of GTFP. After conducting robustness and endogeneity tests, the study's results consistently show reliability and robustness. Further analysis elucidates several mechanisms through which GEA influences GTFP, including fostering green technology innovation, optimizing resource allocation, and promoting upgrades in industrial structure. Heterogeneity analyses reveal that the impact of GEA on GTFP is notably pronounced in eastern cities, as well as in cities characterized by low resource dependency, mature industrial development, and high market competition. Conversely, the influence of GEA on GTFP is less discernible in cities prioritizing economic development goals, possibly due to differing policy orientations and resource allocation strategies. This study offers a novel perspective on understanding how GEA shape green development and provides empirical support for policy formulation.

Decoding worldwide efficiency: Linking government spending, corruption, gender inequality, and renewable energy practices.

Countries have become increasingly concerned about the impact of their activities and their alignment with sustainable development goals. Consequently, it is necessary to examine their performance efficiency in a unified manner, accounting for economic, environmental, and social variables. A country's performance efficiency is defined as the ratio of observed output to frontier output, given the country's productive resources. In this paper, we use the frontier technique of Data envelopment analysis (DEA) to estimate the frontier output. The objective of this study is to assess the performance efficiency of 111 worldwide countries and to examine whether gender inequality, the share of renewable energy consumption, the government control of corruption and government expenditure on education could explain differences in performance. We employed the non-parametric DEA model using three inputs (capital, labor, and primary energy consumption) and one output (GDP). We also considered an additional output (CO2 emissions); however, the results were identical to the one output model because CO2 emissions and primary energy consumption are highly correlated (0.96). We find that there is a negative impact of gender inequality, a positive impact of the share of renewable energy consumption and government control of corruption on performance efficiency. Our results also indicate that reducing CO2 emissions required transitioning towards renewable energy and using the energy efficiently. However, we did not find a positive relationship between government expenditures on education and country efficiency.

M. N. Roy and the Problem of Parliamentary Democracy.

This article offers a new interpretation of anti-colonial constitutional thought of the mid-twentieth century. Historians and political theorists have long viewed the circulation of democratic constitutions at the moment of decolonization in terms of the diffusion of electoral, parliamentary government. This article argues against such a "parliamentary" reading of anti-colonial democracy by examining the political thought of Indian Marxist thinker M. N. Roy (1887-1954). I reconstruct Roy's writings on anti-parliamentary forms of popular sovereignty through the 1940s. Further, I situate Roy's democratic theory as a response to understandings of political representation within the Indian national movement.