Search Results (57)

This study prioritized initiatives within the China–Pakistan Economic Corridor (CPEC), foreign funding, and the associated environmental and national issues. Additionally, it analyzed these factors’ effects on improving infrastructure, commerce, and economic cooperation between China and Pakistan. Besides that, it also studies the current climatic, economic, and political challenges, mainly focused on water and agriculture issues. Climate, economic, and political issues affect the environment. These concerns deserve global attention. Pakistan mainly relies on agriculture, and its water scarcity predisposes it to economic losses, urbanization, and many socioeconomic problems. Climate change and the current flood have devastated the agriculture sector. Water scarcity affects agriculture too and significantly impacts the economy and food resources. The nation has not previously experienced such a profoundly distressing epoch. Pakistan has faced several environmental, economic, and political challenges; specifically, the fields of agriculture and water present notable apprehensions. Unfavorable climatic conditions impede the attainment of sustainable agriculture in Pakistan. Considering the strong reliance of agriculture on water resources, it is crucial to acknowledge that industrialization has resulted in substantial water contamination due to the presence of microplastics and heavy metals. Moreover, the South Asian region experiences a significant scarcity of water resources. Besides that, CPEC is the solution for the financial issues, but it is a big challenge for environmental degradation in the current stage, especially since foreign funding is a key challenge for increasing corruption and bringing more burden on the economy. Unfortunately, foreign funding is not good for Pakistan. To ensure safety, security, and sustainability, CPEC projects should follow environmental regulations. This study provides a new list of CPEC initiative priority tasks that more openly disrupt the initiative, serve the whole project, and give appropriate recommendations for future research and policy-making. Full article

Special-shaped partially encased steel–concrete composite (PEC) columns could not only improve the aesthetic effect and room space use efficiency, but also exhibit good mechanical performance under static load when used in multi-story residential and office buildings. However, research on the seismic performance of special-shaped PEC columns is insufficient and urgently needed. To investigate the seismic performance of cross-shaped partially encased steel–concrete composite (CPEC) columns, three CPEC columns were designed and tested under combined constant axial load and lateral cyclic load. The test results show that the CPEC columns had good load capacity and ductility, and that the columns failed because of concrete crushing and steel flange buckling after the yielding of the steel flange. The plump hysteresis loops indicated that the CPEC column also had good energy dissipation capacity. Due to the constraint of hydraulic jacks, increasing the load ratio would decrease the effective length, thereby increasing the load capacity of the CPEC column and decreasing the ductility. A finite element model was also established to simulate the response of the CPEC columns, and the simulated results agree well with the experimental results. Thereafter, an extensive parametric analysis was performed to study the influences of different parameters on the seismic performance of CPEC columns. For the CPEC column with an ideal hinged boundary condition at the top, its lateral load capacity gradually decreases with the growth of the load ratio and link spacing and increases with the rise of the steel yield strength, concrete compressive strength, flange and web thickness, and sectional aspect ratio. This research could provide a basis for future theoretical analyses and engineering application. Full article

The surface water area (SWA) and terrestrial water storage (TWS) are both essential metrics for assessing regional water resources. However, the combined effects of climate change and human activities on the dynamics of the SWA and TWS have not been extensively researched within the context of the CPEC. To fill this gap, we first analyzed the annual changes in the SWA and TWS in the China–Pakistan Economic Corridor (CPEC) region in recent decades using the methods of correlation analysis and Geodetector. Our findings indicate that Sindh exhibited the highest increase in the SWA at 8.68 ha/km², whereas FATA showed the least increase at 0.2 ha/km² from 2002 to 2018. Punjab exhibited a significant decrease in TWS, with a slope of −0.48 cm/year. Azad Kashmir followed with a decrease in TWS at a rate of −0.36 cm/year. Khyber Pakhtunkhwa and FATA exhibited an insignificant increase in TWS, with values of 0.02 cm/year and 0.11 cm/year, respectively. TWS was significantly positively correlated with the SWA in Balochistan and Khyber Pakhtunkhwa. However, other regions showed inconsistent changes; in particular, a decline was observed in Gilgit–Baltistan. The changes in TWS in Balochistan were primarily influenced by the SWA and climate change, while TWS changes in FATA were mainly affected by climate change. In addition, human activities had a primary impact on the TWS changes in Azad Kashmir, Punjab, and Sindh. The influencing factors of TWS changes in different regions of the CPEC mainly involved a dual-factor enhancement and the nonlinear weakening of single factors. These results highlight that under the effect of climate change and human activities, TWS may not increase as surface water area increases. This study contributes to a better understanding of water resource dynamics and can aid in the development of strategies for the efficient and sustainable use of water resources in the CPEC. Full article

Logistics centers (LCs) have become a critical component of supply chain networks, playing an essential role in the development and implementation of logistics and supply chain management strategies. Recognizing the importance of LCs, Pakistan and China have initiated an extensive plan to establish and expand an LC system as part of the China–Pakistan Economic Corridor (CPEC) initiative. However, the implementation of this plan has faced challenges due to the inadequate prioritization of factors used to identify LCs. This research proposes a structured framework for selecting LC locations, employing a combination of fuzzy logic and the technique for order of preference by similarity to the ideal solution (TOPSIS). These widely used methods address various challenges encountered in location selection. The findings highlight crucial logistics hubs in China and Pakistan, emphasizing factors such as port accessibility, freight demand, and transportation costs. The prioritization of criteria for LC selection is determined through the evaluation of variables and alternatives. The proposed framework enhances decision-making based on multiple criteria by addressing uncertainty and subjective assessments. Full article

Under global warming, flooding has become one of the most destructive natural disasters along the China–Pakistan Economic Corridor (CPEC), which significantly jeopardizes the construction and ongoing stability of the CPEC. The assessment of regional flood potential is, therefore, crucial for effective flood prevention and relief measures. In light of this, our study applied MIKE 11 hydrodynamic model for the Indus River Basin of Pakistan to achieve a comprehensive analysis of the flood-affected locations and depths under typical scenarios. The flood risk zones along the CPEC were evaluated using the indicator system method in conjunction with the combination weighting method. The results show that the hydrodynamic model has a Nash–Sutcliffe efficiency of 0.86, allowing for the investigation of floods at more precise temporal and spatial scales. Punjab, Sindh, and Balochistan Provinces are the main inundation areas under a 100-year flood scenario, with inundation depths ranging from 1 to 4 m. The coastal regions of Sindh and Hafizabad in Punjab witnessed the most severe floods, with maximum inundation depths exceeding 8 m. Flooding predominantly impacts the southeastern region of the CPEC. The medium- to high-risk zones comprise 25.56% of the region, while high-risk areas constitute 4.18%. Particularly, the eastern and southern regions of Punjab, along with the central and southern regions of Sindh, have been pinpointed as high-risk areas, primarily due to their dense population and riverine characteristics. Overall, our findings provide a scientific basis for informed decision making pertaining to disaster reduction and flood prevention. Full article

Adenoviruses are the major cause of ocular viral infections worldwide. Currently, there is no approved antiviral treatment for these eye infections. Cyclopentenylcytosine (CPE-C) is an antiviral that has demonstrated activity against more than 20 viruses. The goals of the current study were to determine the in vitro and in vivo antiviral activity of CPE-C as well as its ocular toxicity. Antiviral activity was evaluated in vitro using standard plaque reduction assays to determine the 50% effective concentrations (EC₅₀s) and in vivo in the Ad5/NZW rabbit ocular replication model. Ocular toxicity was determined in uninfected rabbit eyes following topical ocular application. The in vitro EC50s for CPE-C ranged from 0.03 to 0.059 μg/mL for nine adenovirus types that commonly infect the eye. Ocular toxicity testing determined CPE-C to be non-irritating or practically non-irritating by Draize scoring. In vivo, 3% CPE-C topically administered 4X or 2X daily for 7 days to adenovirus-infected eyes demonstrated effective antiviral activity compared with the negative control and comparable antiviral activity to the positive control, 0.5% cidofovir, topically administered twice daily for 7 days. We conclude CPE-C was relatively non-toxic to rabbit eyes and demonstrated potent anti-adenoviral activity in vitro and in vivo. Full article

Background: Some LGBTQIA+ people, after coming out, experience marginalization and homelessness due to rejection and discrimination from their family and community. The increase in support requests led to the creation of LGBTQIA+ temporary shelter homes worldwide. This study aims to explore the functioning and effectiveness of shelters, analyzing the experiences of staff members in Italy. Methods: Focus groups were held with a total of 15 staff members (age range: 32–53) working in three shelters for LGBTQIA+ people. Data were analyzed qualitatively through the grounded theory methodology. Results: Data coding showed five final core categories: (1) user characteristics; (2) staff characteristics; (3) community relations; (4) activities carried out by services; (5) criteria for intervention assessment and staff satisfaction. Results revealed some criticalities in the effectiveness of these services, particularly the difficulty in achieving autonomy for users, a weakness attributable to the non-exhaustive training of staff members and the funding discontinuity. Conclusion: To improve the efficacy of shelters, this study emphasizes the necessity to (a) carry out an analysis of the vulnerability of the local LGBTQIA+ community, (b) establish a stable network with local services (NHS system), and (c) implement staff members’ psychological training. Full article

The Health Silk Road (HSR) of the Belt and Road Initiative (BRI) of China aims to enhance public health and foster international cooperation in the healthcare sector. HSR objectives include strengthening healthcare infrastructure, expanding China’s global health leadership, and enhancing international health cooperation. The aim of this study was to examine the HSR and its implications for global health and international relations by using expert opinion analysis on known major HSR initiatives. We analyzed the objectives of HSR, including improving healthcare infrastructure, enhancing global health cooperation, and expanding China’s global health leadership. Additionally, as a case study, an in-depth analysis of the China-Pakistan collaboration on healthcare under the China-Pakistan Economic Corridor (CPEC) was conducted. This research posits that the HSR has a mix of positive and negative implications. Positive impacts of HSR include improved healthcare services, infrastructure, and capacity-building in participating countries. The main challenges include the quality and sustainability of the infrastructure and services provided, debt sustainability, transparency of projects, and China’s geopolitical influence. This research identified five motives behind China’s HSR: economic interests, diplomatic influence, reputation building, regional stability, and health security. The summary centers on CPEC and the WHO/Global collaboration. This research contributes to a nuanced understanding of the HSR’s multifaceted impacts and underscores the importance of open dialogue, cooperation, and the sharing of best practices among stakeholders. By assessing the motives, implications, and concerns of the HSR, this study offers valuable insights for policymakers, global health practitioners, and scholars, highlighting the significance of international collaboration. Full article

This research aimed to investigate the green practices in the mega construction project of the China–Pakistan Economic Corridor (CPEC). Over recent years, there has been an increasing need for adopting and implementing more green and sustainable practices, leading to national and international sustainable and green environmental agendas. To address the issue, green project practices were considered an independent variable comprising green design, procurement, and construction. The dependent variables were environmental performance and economic performance. Primary data were collected from respondents working on the CPEC project. A representative sample of 276 respondents was used. The analysis was conducted using PLS-SEM. The results indicated that green design significantly influences economic performance, green procurement has a positive and significant effect on environmental performance, and green construction has a positive and significant impact on both environmental and economic and financial performance. The research showed that construction management at CPEC should adopt all facets of green project practices together, reducing negative environmental effects, increasing environmental benefits, and improving long-term economic performance in the area. Full article

Even though the significance of the China–Pakistan economic corridor (CPEC) is frequently discussed on various international forums, its economic, socio-cultural, and environmental impacts in a geographically constrained area have not yet been studied precisely. Consequently, the goal of this study is to look into how CPEC Infrastructural Development (CPECID) would regenerate the tourism market in Gilgit Baltistan (GB), a Pakistani administrative territory. The basic data gathered via a convenience sample strategy is subjected to a quantitative analysis approach. In total, 336 inhabitants of GB participated in a closed-ended online survey that was used to gather data. The results showed that CPECID has a favorable influence on regenerative tourist growth and development in the area and that this link is partially mediated by economic, socio-cultural, and environmental impacts. The study’s conclusions have important implications for authorities creating regenerative tourist promotion plans, in addition to adding to the body of knowledge on tourism. Full article

Recently, there has been an increase in the occurrence of extreme high-temperature events across the China–Pakistan Economic Corridor (CPEC). Regional spatiotemporal identification and evaluation of extreme high temperatures are essential for accurate forecasting of future climate changes. When such events generate a meteorological hazard, it is important to understand their temporal and spatial features, return period, and identification criteria. Accurately identifying extreme events can help assess risk and predict their spatial–temporal variation. While past studies have focused on individual sites, extreme heat events generally manifest as spatially and temporally continuous regional events. In this study, we propose an objective identification technique based on gridded data and spatiotemporal continuity to reveal the spatiotemporal characteristics of intensity, frequency, and duration events of extreme heat events in the CPEC from May to October between 1961 and 2015. Furthermore, we estimate the return period of extreme heat in the study region using the generalized Pareto distribution (GPD). Our findings indicate that the historical extreme temperature events (intensity, frequency, and duration) in the CPEC have significantly increased. Areas with a high incidence of extreme heat events are concentrated in eastern Balochistan, northern Sindh, and southeastern Punjab. These findings suggest that disaster prevention and mitigation plans should be targeted towards areas with a high frequency of extreme heat events in the CPEC, allowing policy makers to better prepare for and respond to future events. Full article

The China–Pakistan Economic Corridor is the pilot area of the Belt and Road, where glaciers and lakes are widely distributed. Recent years, global warming has accelerated the expansion of glacier lakes, which increased the risk of natural disasters such as glacier lake outburst. It is important to monitor the glacier lakes in this region. In this paper, we propose a method combining the object-oriented image analysis with boundary recognition (OOBR) to extract lakes in several study areas of China–Pakistan Economic Corridor (CPEC). This method recognized the lake boundary with the symmetrical characteristic according to the principle of seed growth of watershed algorithm, which can correct the boundary extracted by the object-oriented method. The overall accuracy of the proposed method is up to 98.5% with Landsat series images. The experiments also show that the overall accuracy of our method is always higher than that of the object-oriented method with different segmentation scales mentioned in this paper. The proposed method improved the overall accuracy on the basis of the results obtained by the object-oriented method, and the results with the proposed method are more robust to the seeds than that with the boundary correction method of the watershed algorithm. Therefore, the proposed method can obtain a high extraction accuracy while reducing the complexity of the object-oriented extraction. Full article

Social media has been widely used to design and publish pro-environment campaigns; the goal is to spread awareness about environmental issues and explain how customers can change their consumption behavior to protect the environment. Customers’ engagement with pro-environmental campaigns (CEPC) on social media is crucial to achieving these objectives. Limited studies have examined the factors that could increase CEPC, and its effects, on pro-environmental consumption behavior. The available literature suggests the antecedents of social media engagement, but is restricted to brands/products. Based on these findings, this study explores the effects of advertising attractiveness, advertising-based skepticism, online interaction propensity, and privacy concerns on CEPC. This study also suggests that customers’ engagement with pro-environmental consumption-related content can be defined as a pro-environmental experience that could lead to pro-environmental consumption. The study was based on a sample of 262 responses from online users; the results indicated that CEPC is largely affected by advertising attractiveness, advertising skepticism, and online interaction propensity. The study further established that pro-environment consumption is a potential outcome of CPEC. This study contributes to the existing literature by providing insight into ways in which activist groups can inspire consumers to engage with pro-environment content and exploring whether that engagement translates into a pro-environment intention. Full article

In recent years, drought events have influenced agriculture, water-dependent industries, and energy supply in many parts of the world. The China–Pakistan Economic Corridor (CPEC) is particularly susceptible to drought events due to large-scale monsoon circulation anomalies. Using the 0.5 × 0.5 resolution rainfall and potential evapotranspiration data set from the Climatic Research Unit (CRU), we assessed the changes in seasonal drought variation and effects of climate variables on drought over the CPEC for the period of 1980 to 2018 using the Standardized Precipitation Evapotranspiration Index (SPEI). Our results show a statistically significant negative trend of SPEI over the hyper-arid region for two monsoons (December–February and June–September) and intra-monsoonal seasons (March–May and October–November), suggesting that the hyper-arid region (southern and southwestern part of the CPEC) is experiencing more frequent drought. A high probability for the occurrence of winter (30–35%) and summer (20–25%) droughts are observed in hyper-arid regions and gradually decreases from south to north of the CPEC. Decreasing seasonal rainfall and increasing potential evapotranspiration with increasing temperature in hyper-arid and arid regions resulted in frequent drought events during the winter monsoon season (from December to February). The findings from this study provide a theoretical basis for the drought management of the CPEC and a framework for understanding changes in drought in this region from climate projections. Full article

This research is about the China–Pakistan Economic Corridor (CPEC), which is an important and first project of the “Belt and Road” initiative (BRI). BRI is the framework and manifesto for the wide-ranging, fundamental collaboration signed by China and Pakistan in 2013. The CPEC vision and mission were initiated to develop economic growth and facilitate free trade, the people’s living standards of Pakistan and China through bilateral investments, trade, cultural exchanges, and economic activities between both countries. The initial investment for the project was $46 billion, with a tentative duration of fifteen years. This research aimed to inquire into the effects of legal risks (LR), social security (SS), and employee environmental awareness (EEA) on the project performance (PP) of the CPEC. It further investigates the significance of gender empowerment perspectives (GEP). A research framework consisting of this quantitative analysis and the bilateral impacts of the study were explored through several policies scenarios into 2025. The results of the risk analysis were rated on a Likert scale. A questionnaire survey was used in order to collect data and test the research framework and hypotheses. An empirical test was conducted using a dataset with partial least square structural equation modeling (PLS-SEM) to validate the study. Full article