How does the G20 Summit affect land market? Evidence from China

We employ the difference-in-difference and synthetic control methods to investigate the capitalization effect of hosting the G20 Summit on land market, based on China’s land transaction dataset from 2011 to 2019. We find that hosting the G20 Summit has a significant positive effect on land prices in the host city, increasing land prices by over 22.6% compared to comparable cities. The impact of hosting the G20 Summit on land prices is larger in the post-G20 period than in the preparation period. Further, hosting the G20 Summit has heterogeneous and distributional effects on land prices. The capitalization effects of venue construction and transportation infrastructure upgrading on land prices are the main channels

Impact of Chinese Foreign Direct Investment in Nigerian Oil Sector

The purpose of this study is to investigate the effects of foreign direct investment by Chinese investors in the oil- Sector in Nigeria. This study explores the impact of foreign direct investment on the Nigeria oil sector. The secondary data originates from 2018. The analysis results show that China's opening to direct trade in Nigeria's oil sector has consequences. In addition, there is no significant impact on Nigeria's oil market size and infrastructural development. This result supports the trend of results from similar literature studies. Based on these results, the study recommends paying particular attention to the introduction of new promotional rules necessary to support the country's economic objectives. The aim is to improve the flow of economic growth and direct investment into Nigeria. The main conclusion of the analysis is that Nigeria, as a country, has not yet deduced its potential (taking into account available resources and size of the market) in order to attract foreign investment. Keywords: Foreign Direct Investment, Nigeria, Oil Sector, Economics, China DOI: 10.7176/JESD/11-16-03 Publication date:August 31st 202

The Impact of E-Commerce on National Trade of Ghana

The importance of ecommerce to an economy and businesses cannot be overemphasized. It is recognized that ecommerce to businesses could trigger an innovative way that marketing and necessitate international trade. In effect, the study sought to investigate the effect of E- commerce on the national trade in Ghana. The study sought to analyze the factors that influence the adoption of ecommerce in Ghana. It also determined the effect of ecommerce to the economy of Ghana. The study adopted quantitative approach through the use of primary and secondary data. Research analysis used for this study were the frequency and the generalized method of moment (GMM). With respect to the primary data estimation, the findings of the study showed that ICT, skills and cost in ecommerce are factors influencing ecommerce among businesses in Ghana. On the part of the estimation of the secondary data, the result of study indicated that at one percent level of significant, ecommerce has positive significant effect on economic growth of Ghana. Per the outcome of the study, it was recommended that long term policy should be put in place to ensure the growth of ecommerce in Ghana. Keywords: Ecommerce, International Trade, Economic growth, Small and Medium Enterprise and Information Communication Technology DOI: 10.7176/JESD/13-24-07 Publication date: December 31st 202

China’s FDI Impact on Economic Development in the Developing Countries in Africa (The Case Study of Comoros)

China's continued development assistance to Africa in recent decades is one of the most controversial events in the region. China's aid to Africa, fueled by the spirit of the growing self-secession of African countries, has attracted the world's attention. While friends see the great help as a lucrative opportunity for both sides, the enemies of the association fear the potential impact of Chinese development aid on increasing their own stoic capacity. Despite the growing debate between friends and enemies of these associations, little existing literature has examined the sincerity of China's capacity-building assistance, focusing on job creation and technology or ICT transfer. There is a lack of clear evidence of capacity building indicators, such as job creation and technology transfer. In the absence of literature, this study tries to emphasize and examine China's impact on the construction of chamber capabilities in job creation and technology transfer. The study used key data from semi-structured interviews that included open questions and secondary data, such as the White Paper in China. Unlike previous studies in Angola, Sudan and Uganda, the situation in the Comoros is quite the opposite. The results paint an image of the impact of support for the Chinese project on the construction of capacities in the Comoros, which at best remains "negligible." The country can reach its full potential and there is an urgent need to restore the political and economic power of Comoros. Keywords: Aids, Economics, Foreign Direct Investment, Comoros, China-African, Developing Countries DOI: 10.7176/EJBM/12-27-16 Publication date:September 30th 202

Evaluating the Risk Exposure and Challenges of Credit Providers in Microfinance in Ghana (A Case Study: Accra Metropolis, Ghana)

In view of the clear deficiencies in the cited researchers’ findings, there is the need to conduct new research to assess risk exposure of credit providers in micro financing in Ghana using Accra Metropolis, Ghana as a case study. The principal approach used for this analysis was a questionnaire-based survey. 120 workers and managements of Microfinance institutions responded to questionnaires made up of 9 questions. The analysis of the responses from the survey conducted was done using descriptive statistics. The results from the study shows that there is significant relationship between bank performance in terms of profitability and credit risk management in terms of loan servicing performance. The results verify the hypothesis that better credit risk management results in better bank performance. Accra Metropolis, Ghana is a city with challenges in the likes of the springing up of new micro finance and micro finance facilities. The study found that the microfinance institutions surveyed are aware of the types of risk inherent in their business line and use risk management approaches in different ways to reduce losses and increase profitability. Therefore, a more comprehensive assessment of risk exposure of credit providers in micro finance within the Accra Metropolis, which when not done will lead to a further fall in their performance standards as financial service providers. Keywords: Risk Exposure, Credit Providers. Microfinance in Ghana DOI: 10.7176/RJFA/11-16-03 Publication date:August 31st 2020

Point Cloud Upsampling via Cascaded Refinement Network

Point cloud upsampling focuses on generating a dense, uniform and proximity-to-surface point set. Most previous approaches accomplish these objectives by carefully designing a single-stage network, which makes it still challenging to generate a high-fidelity point distribution. Instead, upsampling point cloud in a coarse-to-fine manner is a decent solution. However, existing coarse-to-fine upsampling methods require extra training strategies, which are complicated and time-consuming during the training. In this paper, we propose a simple yet effective cascaded refinement network, consisting of three generation stages that have the same network architecture but achieve different objectives. Specifically, the first two upsampling stages generate the dense but coarse points progressively, while the last refinement stage further adjust the coarse points to a better position. To mitigate the learning conflicts between multiple stages and decrease the difficulty of regressing new points, we encourage each stage to predict the point offsets with respect to the input shape. In this manner, the proposed cascaded refinement network can be easily optimized without extra learning strategies. Moreover, we design a transformer-based feature extraction module to learn the informative global and local shape context. In inference phase, we can dynamically adjust the model efficiency and effectiveness, depending on the available computational resources. Extensive experiments on both synthetic and real-scanned datasets demonstrate that the proposed approach outperforms the existing state-of-the-art methods.Comment: The first two authors contributed equally to this work. The code is publicly available at https://github.com/hikvision-research/3DVision. Accepted to ACCV 2022 as oral presentatio

FBNet: Feedback Network for Point Cloud Completion

The rapid development of point cloud learning has driven point cloud completion into a new era. However, the information flows of most existing completion methods are solely feedforward, and high-level information is rarely reused to improve low-level feature learning. To this end, we propose a novel Feedback Network (FBNet) for point cloud completion, in which present features are efficiently refined by rerouting subsequent fine-grained ones. Firstly, partial inputs are fed to a Hierarchical Graph-based Network (HGNet) to generate coarse shapes. Then, we cascade several Feedback-Aware Completion (FBAC) Blocks and unfold them across time recurrently. Feedback connections between two adjacent time steps exploit fine-grained features to improve present shape generations. The main challenge of building feedback connections is the dimension mismatching between present and subsequent features. To address this, the elaborately designed point Cross Transformer exploits efficient information from feedback features via cross attention strategy and then refines present features with the enhanced feedback features. Quantitative and qualitative experiments on several datasets demonstrate the superiority of proposed FBNet compared to state-of-the-art methods on point completion task.Comment: The first two authors contributed equally to this work. The source code and model are available at https://github.com/hikvision-research/3DVision/. Accepted to ECCV 2022 as oral presentatio