China is emerging as an economic power of the world and correspondingly it has unleashed a strategy of its sustained economic growth alongside socioeconomic development of the region and beyond, through implementation of its envisaged grand Belt and Road Initiative (BRI). In this regard, Pakistanis accommodating China’s flagship project, China Pakistan Economic Corridor (CPEC). The success of CPEC hinges on the unhindered development and sustenance of Gwadar Port for assured uninterrupted sea - land linkage of CPEC. Besides supporting CPEC, Gwadar Port has gigantic potential to contribute towards Pakistan’s socioeconomic development and improving socioeconomic stature of landlocked Central Asian States. Geopolitics always play its role in all regional and international developments which embody clash of interest among stakeholder states and development of Gwadar Port is no exception. Alongside enormous prospects of payoffs, Gwadar Port encounters serious challenges to its development and sustenance, which have not been much deliberated in academic discourses. This paper, besides ascertaining the socioeconomic impacts of Gwadar Port on Pakistan, China, regional states and CPEC, identifies international repercussions and domestic challenges to Gwadar Port’s success; thus help the policy makers to draw pertinent conclusions.

The term "feudalism" is often used to describe a social order in which land is held by an elite group that is not subservient to a monarchy or government. In return for their service to the king or his kingdom, his subjects are granted land. In the feudal system, the male head of the family (typically a large joint family) is accountable for the maintenance of the home and the land that has been bequeathed to him. It is true that the social structures of feudalisms in Medieval Europe and Medieval India shared some similarities; however, the feudalism that developed in Pakistan (which was a descendant of Indian feudalism) had its own unique roots and characteristics that were shaped by local history (such as the influence and intent of invaders) and culture. According to land reforms
adopted in 1959, each individual's yearly produce from 500 irrigated and 1000 non-irrigated acres was capped at 36,000 index units. This study looks at what happened to feudalism in Pakistan's Southern Punjab between 1969 and 1990, and it offers solutions to the problems that led to its decline.

The paper explores Pakistani graduate EFL learners' attitudes towards the increasing significance of the English language at national and global levels in the contemporary world. The analysis adopts a qualitative style, using twenty interviews to gain painstaking insights into the learners' linguistic attitudes. The research scrutinizes the socio, contextual and cultural factors that impact Pakistani learners' perceptions of English. The study reveals that while Pakistani learners appear uncertain about English in addition to its culture, they have adopted the educational and social functions of the language. The outcomes indicate the linguistic imperialism and symbolic capital of English, as individuals contemplate it as essential for socioeconomic advancement in Pakistan. The study's results can help academicians and officials assess the potential impacts of English on the roles of local languages, particularly in Pakistan's education system.

This research article examines the potential drivers of ethnic terrorism. The ethnic component has typically been ignored by terrorism academia, which has instead concentrated on developing theories that can explain all terrorist violence. The research does cover attributes of ethnic terrorism, whether it is a notion of nationalism or beyond depending on the case. This study focuses on the ethnic groups that why resort to violence to achieve their objective. The research tested the cause of ethnic terrorism based on three theoretical frameworks: political repression, economic grievances and elite competition. The research focuses on the factors driving the Baloch nationalist movement and the adoption of violence by Baloch separatist groups in Pakistan. In the case of Balochistan, three respective hypotheses are built and analyzed. The results demonstrate that political repression raises the risk of ethnic terrorism, although economic resentments or competitive elites are typically not linked to this type of violence

The tourism industry in Pakistan has grown, leading to increased energy consumption and environmental degradation. To address this, green energy solutions are being explored. A study examined the potential, barriers, and benefits of such solutions in the local tourist sector. Survey results showed moderate concern for environmental impact, with some support for green energy. However, respondents were hesitant to pay extra for these services. Correlation analysis indicated relationships between variables, but causation requires further study. Thematic analysis revealed awareness and support for sustainable tourism, but more action is needed. The study recommends prioritizing green energy adoption by businesses and government institutions to mitigate environmental impact and maximize tourism's economic and social benefits.

Brain-drain occurs when highly educated and skilled people leave their home nations for greater chances abroad. Over the years, Nigeria, a developing nation with major socio-economic issues, has lost a significant portion of its workforce. People leave Nigeria for lack of jobs, inadequate infrastructure, unpredictable governmental administration, and uncompetitive wages and benefits. The loss of qualified personnel hinders the country's ability to supply basic services, innovate, and grow economically, hurting healthcare, education, and economic development. Nigeria needs job wage and service standards reform to stop brain drain. This includes improving domestic employment, education, research and development, and investment and entrepreneurship. Scholarship, mentorship, and professional development initiatives may also reduce brain drain by encouraging skilled people to stay or return to Nigeria.

This research explores the Ecosophy of discourse produced around the China-Pakistan Economic Corridor (CPEC). The study starts with building a corpus of texts, taken from the official website of the CPEC. The list of 18 key words was made, based on three United Nations (UN) Sustainable Development Goals (SDGs) out of 17 goals. Theoretical framework of Stibbe’s (2015) ecocritical discourse perspective is used to develop the Ecosophy of the CPEC, while analytical framework is based on three UN sustainable development goals outlined in 2015. Corpus linguistics as a methodology is used to undergo quantitative and qualitative analysis. In quantitative analysis, collocates were analyzed by identifying Mutual Information (MI) score. The highest MI score (11.26013) is gained by the collocation named CPEC-Deforestation and the lowest is of CPEC-Water (0.87352) which show that the infrastructure project of the CPEC caused deforestation and less affected water.

This article investigates the profound role of English linguistics in shaping economic growth as well as cultural evolution in a world that is highly globalized. With the language ascending toward its status as a global lingua franca, it has greatly influenced international trade, labor mobility, and digital communication, thereby enhancing international economic integration. The economic benefits of knowing English include more competitive information technology and business process outsourcing industries in countries with higher proficiency levels, such as India and the Philippines. Also, there is the cultural dimension of advancing globalization that questions the internationalization of English, linguistic imperialism, and cultural homogenization. On the other hand, while several scholars have contended that the spread of English erodes linguistic diversity, others point out that English is also adaptive: local cultures combine English with native languages to create hybrid forms, including the renowned "Hinglish" and "Singlish."

Gender inequality poses a challenge to the educational participation of teenage-girls in Jhelum Pakistan. This paper seeks to examine the complex factors underpinning and the extensive effects of gender inequalities in education within this area. The present study details various causes of gender inequalities as analyzed from a qualitative content analysis of various works, which include economic factors, social-cultural beliefs and practices; early marriage, lack of awareness, physical facilities, and gender biases. This study finds that all these factors work together to exclude girls from education and maintain poverty and non-advancement of socio-economic status. Finally, the discussion highlights the need to establish various strategies to address gender inequality, such as; community sensitization, increasing the percentage of girls education, finances, establishing safe school structures, and favorable laws on gender. The solution to these recommendations would help Jhelum move towards the right direction for giving teenage-girls equal education opportunities and better community.

Time series analysis and decomposition are crucial in examining economic data as they uncover elements such as trends, and seasonal influences, within the data. However, some approaches have difficulty in accommodating complex, high-dimensional data. In this research, we investigate the possibilities of utilizing artificial intelligence (AI) tools, specifically, machine learning (ML) and deep learning (DL) for better timeliness and accuracy of economic forecasting. In some instances, it was shown how recent AI models can improve the data analysis of economic indicators (GDP, inflation, stock indices) through the accurate depiction of non-linear trends and changing seasonals. Model enhancements using AI also result in significant improvement in the accuracy of economic forecasts and provide more detailed and useful time series decomposition for economists and policymakers. This paper is a step towards more extensive use of artificial intelligence in econometric analysis and provides evidence on the feasibility of such in practical econometric studies.