Search or add a thesis

Advanced Search (Beta)
Home > Investigating the Crowding-Out Effect of Chinas Exports on Pakistans Exports

Investigating the Crowding-Out Effect of Chinas Exports on Pakistans Exports

Thesis Info

Access Option

External Link

Author

Naseem, Asia

Program

PhD

Institute

University of Agriculture

City

Faisalabad

Province

Punjab

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Economics

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/11971/1/Asia%20Naseem%20economics%202019%20uaf%20prr.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724815366

Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Similar


Over the last two decades, China has emerged as an economic giant in the world economy. After joining the world trade organization in 2001, it became the largest exporter in the world since 2009, having the highest share in world gross domestic product based on purchasing power parity. China’s astounding economic success hinges on export-led growth, the same strategy that was behind the success of four Asian Tigers. China’s path to success is an inspiration for other developing countries; it is an example to follow. Pakistan is no exception and is trying to increase its own exports. However, Pakistan’s exports enhancing policies are a long way from being successful. China’s entry into the world market is a big country case of international trade. It can affect the export patterns of other countries that are supplying to the same destinations, having similar factor endowment. China has become the prime trading partner of the United States of America, which is a major export destination for Pakistan as well. Furthermore, textile is a major export sector for Pakistan and China is a big supplier in that sector. There is a likelihood that China’s export-led growth may be crowding out Pakistan’s exports from third country markets. There is no previous work on the topic with reference to Pakistan. This is the first study, which has investigated the crowding-out effect of China’s exports for all exports sectors of Pakistan. For comprehensive analysis, the study is divided into the following subsections. Firstly, five major export destinations of Pakistan are explored separately for all exports sectors, for competitive threat posed to Pakistan’s exports from China’s. Relative changes in market share are used as an indication of competitive threat. The role of revealed comparative advantage (RCA) in maintaining the market share of an export is observed for all exports. Secondly, the magnitude of the crowding-out effect of China’s export expansion on Pakistan’s exports is measured. In the third step, the study explores whether the Pak-China bilateral trade compensates for China’s crowding-out effect in the international market or is other way around. As China is the main trading partner of Pakistan, RCA patterns of both countries are explored as determinants of the bilateral trade pattern between Pakistan and China. Distance elasticity is also measured along with the other determinants of China’s exports. After the completion of the China Pakistan Economic Corridor (CPEC) distance travelled by China’s exports will be reduced substantially, leading to an increase in China’s exports. A gravity model approach was used for the analysis. Instrumental variable 2 stage least squares (IV2SLS) was applied to data by generalized methods of moments (GMM) to establish the causal relationship. Additionally, the method was successful to tackle the problems of endogeneity and heteroscedasticity. Other determinants of the exports of Pakistan and China were also included in the modelling. These determinants included gross domestic product of exporting and importing countries, distance, landlocked countries and common language. The study used secondary data which was collected through reliable sources as per the requirement of the study. It was concluded that Pakistan’s exports are crowded-out by China’s exports. It was a twodimensional analysis, destination wise and export category wise. Except mineral exports, there is no export category in Pakistan which is not under threat in at least one of the studied destinations. And there is no destination among the top five included in the study which is safe for all exports from Pakistan. In the second part, magnitude and direction wise, varying effect of China’s exports is found on different export sectors of Pakistan. Pak-China bilateral trade is enhancing the effect of China’s exports in the international market for most of the export categories. Among other determinants, the GDP of the importer has a significant positive effect on exports volume both in the case of Pakistan and China. Trade costs (distance and landlocked) hinder the exports volume of Pakistan and of China. For all exports of China, the distance coefficient is negative and significant, indicating that CPEC completion will have a positive effect on China’s exports. In comparison to China’s exports, Pakistan’s exports are more responsive to change in magnitude of any variable included in the model, except common language. It was also concluded that Pakistan is relying on the exports of primary goods and there is lack of value addition in the overall exports of Pakistan. Exports which compete successfully in the international market or perform well in bilateral trade with China are all primary, non-processed exports with little value addition. Pakistan’s exports cannot be enhanced only by internal facilitation, but the problem needs be addressed by taking into account the current and upcoming scenario of international trade where China is a major player in the market.
Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

نیناں دے کشکول بھرے نیں

نیناں دے کشکول بھرے نیں
کہن توں لیکن درد پرے نیں

ہاواں دی انج برف پئی اے
بلدے سینے آن ٹھرے نیں

ربا ! توں تے جانوں ایں ، میں
کیہ جہے ، کیہ جہے دکھ جرے نیں

جنھاں مَیں نوں ڈوب لیا اے
جند سمندر خوب ترے نیں

جنگ تے حاکم جت لئی اے توں
ساڈے جیہڑے لوگ مرے نیں

أثر مؤشرات التغري املناخي يف انتشار بعض اإلمراض املعدية يف حمافظة ذي قار

The study examines the impact of climate change on the spread of some diseases in Thi- Qar Province through collecting and analyzing data about various weather elements and phenomena of some monitoring stations ( Nasiriyah ) for a high-temperature climatic cycle of 78 years (1941-2018). It is divided into seven consecutive and different time periods, 1941-1951, 1952-1962, and 1963-1973, 1974-1984, 1985-1995, 1996-2006, 2007-2018. These elements and phenomena are solar radiation, temperatures (maximum and minimum), wind (Dust storm, rising dust, suspended dust), and the thermal extremes phenomenon (heat and cold waves) The research aims to reveal the reality of trends in climate of the province of thi qar, and find out the reality of the general trend of the elements of climatic different by relying on a series of evidence statistical number of climatic variables for the meteorological station in Nasiriyah especially temperature, wind speed, relative humidity and rainfall, and extreme dust The most important results of the research showed that temperatures trending upward in sync with a clear reduction in the amount of relative humidity and rainfall which threatens a sharp repeating the phenomenon of drought in the future. The research study has found that the City of Nasiriyah ranked first in human diseases for the period 2009-2018, as the reasons for this level of diseases include that Nasiriyah is subject to the recurrence of dusty weather phenomena due to its proximity to the Western Desert Plateau, as well as the lack of cultivated and water-covered areas. This city witnesses serious air pollutions due to the concentration of a large number of factories located near inhabited areas, as well as, the spread of brick factories in the regions of the city, such as, brick factories in the area of El-Islah. This is public services, in addition to the building projects, deterioration of sewage overflow, the spread of epidemics and insects harmful to human health, other climatic environmental pollutants, such as the spread of pollen, plant scents and air allergens, which contributed to the increase in the severity of skin diseases, climate eyes, arthritis and respiratory allergies. The city of Al-Shatra ranked second in the number of people with climatic diseases, Al-Rifai ranked third with infected cases, Souk Al-Shuyoukh ranked fourth, and finally Al-Jibayish ranked fifth and last in people with climatic human diseases for the period 2009-2018 in Dhi- qar province due to the same geographical, climatic, medical, and environmental causes indicated earlier.

Team Learning from Demonstration Tlfd : A Framework to Build Collaboration in a Team of Agents Via Imitation

This dissertation addresses the problem of building collaboration in a team of autonomous agents and presents imitation learning as an effective mechanism to build this collaboration. Imitation learning involves learning from an expert by observing her demonstrating a task and then mimicking her. This mechanism requires less time and technical expertise on behalf of domain experts/ knowledge engineers and makes it convenient for them to transfer knowledge to a software agent. The research extends the idea of a demonstration to multi-human demonstrations and presents a framework of Team Learning from Demonstration (TLfD) that allows a group of human experts to train a team of agents via demonstrations. A major challenge faced by the research is to cope with the overhead of demonstrations and inconsistencies in human demonstrations. To reduce the demonstration overhead, the dissertation emphasizes on a modular approach and enables the framework to train a team of a large number of agents via smaller numbers of demonstrators. The framework learns the collaborative strategy in the form of weighted naïve Bayes model where the parameters of the model are learned from the demonstration data and its weights are optimized using Artificial Immune Systems. The framework is thoroughly evaluated in the domain of RoboCup Soccer Simulation 3D which is a promising platform for a multi-agent domain and addresses many complex real-world problems. A series of experiments were conducted using RoboCup Soccer in which the agents were trained to perform different types of tasks through TLfD framework. The experiments were started with training a single agent how to score a goal in an empty soccer field. The later experiments increased the complexity of the task and the number of agents involved. The final experiment eventually trained a full-fledged team of nine soccer players and enabled them to play soccer against other competition quality teams. A number of test matches were played against different opponent teams, and the results of the matches were evaluated on the basis of different performance and behavioral metrics. The performance metrics described how well the imitating team played in the field whereas the behavioral metrics assessed how closely they had imitated the human demonstrations. Our soccer simulation 3D team KarachiKoalas served as a benchmark to evaluate the quality of the imitating team, and the dissertation closely compared the two teams and found that the team that was trained via imitation gave comparable performance to KarachiKoalas. The results showed the effectiveness of TLfD framework and supported the idea of using imitation to build collaboration among multiple agents. However, the framework, in its current form, does not support strategy building in an incremental manner in which a naïve strategy is learned via imitation and is refined in stages. The ability to build strategies incrementally can be a crucial requirement in complex systems. In future, the framework can be extended to incorporate the ability to refine an already learned strategy via human expert’s feedback.