scholarly journals Industrial Agglomeration Analysis Based on Spatial Durbin Model: Evidence from Beijing-Tianjin-Hebei Economic Circle in China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lu-Hui Gao ◽  
Guo-Qing Wang ◽  
Jing Zhang

Based on the data of Beijing-Tianjin-Hebei Economic Circle from 2010 to 2019, this paper uses the spatial Durbin model to empirically analyze the impact of financial development and technological innovation on industrial agglomeration. The following are the conclusions of this study: (1) financial development has a positive effect on industrial agglomeration; however, a significant difference exists in the weight effect of the geographic distance matrix compared to the weight of the economic distance matrix; (2) in the spatial Durbin model with two matrix weights, technological innovation has a significant positive effect on industrial agglomeration; and (3) in the spatial Durbin model with two matrix weights, the interaction has a significant negative effect on industrial agglomeration. Therefore, the government should further implement the coordinated development strategy, promoting regional technological innovation for a long time to realize its integration with financial development.

2021 ◽  
Author(s):  
Hongxing Tu ◽  
Songtao Xu ◽  
Xu Xiao

Abstract Using DEA-Tobit model, the paper empirically analyzes the impact of environmental regulation and technological innovation on industrial environmental efficiency with the data from Chinese Cement Industry. The results show that both environmental regulation and technological innovation all have a significant role in promoting the environmental efficiency of cement industry. Among all the influencing factors, the improvement of pollution disposal capacity has the biggest positive effect on environmental efficiency, while the energy-saving effect caused by environmental regulation is not obvious, the factor endowment structure has no substantial impact on environmental efficiency. Adhering to the strategy of "reducing emissions mainly and saving energy as auxiliary", continuously optimizing the energy consumption structure, raising the level of industrialization and industrial agglomeration are conducive to the sustainable development of China’s cement industry.


Author(s):  
Yuyu Liu ◽  
Duan Ji ◽  
Lin Zhang ◽  
Jingjing An ◽  
Wenyan Sun

Agricultural technology innovation is key for improving productivity, sustainability, and resilience in food production and agriculture to contribute to public health. Using panel data of 31 provinces in China from 2003 to 2015, this study examines the impact of rural financial development on agricultural technology innovation from the perspective of rural financial scale and rural finance efficiency. Furthermore, it examines how the effects of rural financial development vary in regions with different levels of marketization and economic development. The empirical results show that the development of rural finance has a significant and positive effect on the level of agricultural technology innovation. Rural finance efficiency has a significantly positive effect on innovation in regions with a low degree of marketization, while the rural financial scale has a significantly positive effect on technological innovation in regions with a high degree of marketization. Further analysis showed that improving the level of agricultural technology innovation is conducive to rural economic development. This study provides new insights into the effects of rural financial development on sustainable agricultural development from the perspective of agricultural technology innovation.


Author(s):  
Dr. Thadei A. Kiwango

This paper determines the impact of modelling technology integration for of out-of-school (OST) learning on academic achievement in primary schools. The research was conducted in Arusha Region, specifically in Meru District. The paper adopted the experimental design, involving experimental and control groups. Each of the two groups comprised three (3) schools, making a total of six (6) schools. The experiment was conducted using Digital Video Disks (DVDs), mobile phones, notebooks and home assignment booklets. The tools were further supplemented by a list of perceived best practices, and examination papers. The findings reveal a statistically significant difference in mean scores between the control and experimental groups as confirmed by 95% confidence level whereby, F (1, 180) = 28.63, p=0. Based on the findings, null hypothesis was rejected, leading to the conclusion that the proposed model for OST technology integration is attributed to significant improvements in academic achievement for primary school OST learners. The implication of these findings is for researchers, and other educational stakeholders, including the government to invest in devising contextually relevant model, and mobilizing parents, teachers and learners with a view to hastening technology integration in order to improve academic achievements for primary school pupils. There is also a need for studies that further explore technology integration opportunities, and associated challenges in a bid to addressing poor academic performance among primary school pupils.


2021 ◽  
Vol 235 ◽  
pp. 02080
Author(s):  
Shuwei Harold Sun ◽  
Allen Wang ◽  
Huan Yu

This paper uses the relevant data from 2008 to 2017 to construct a multiple linear regression equation, and uses the generalized moment estimation model to explore the impact of financial development on industrial structure adjustment from the perspective of financial scale and efficiency. The results show that financial efficiency can promote the rationalization and upgrading of industrial structure, but the impact of financial scale on industrial structure is two-sided. Increasing financial scale can increase the amount of industrial financing and accelerate the process of industrial structure upgrading. However, blindly increasing the supply of loans will lead to the birth of bad investment, thus failing to promote the rationalization of industrial structure. Based on this, this paper puts forward some policy suggestions, such as promoting the diversified development of the financial industry, improving the imbalance of financial development in various provinces, promoting the reasonable investment structure and the development of high-tech industry, and giving full play to the role of the government.


2019 ◽  
Vol 11 (10) ◽  
pp. 2865 ◽  
Author(s):  
Hyunseog Chung ◽  
Soomin Eum ◽  
Chulung Lee

We explore the impact of research and development (R&D) on sales growth rate with firm-specific factors under the Korean pharmaceutical industry structure using listed Korea pharmaceutical company data from 2007 to 2018 with the quantile regression technique. We find that R&D intensity has a positive effect on firm growth rate while R&D scale a negative effect on the firm growth rate at the upper quantile, whereas the result is opposite at the lower quantile. Firm size has a mixed relationship with sales growth at the upper quantile, thus Gibrat’s law is rejected in the Korean pharmaceutical industry. Firm age has a negative relationship with the sales growth rate at the upper quantile, which shows the consistent result with previous research that young firms grow faster. Patent persistence has a negative relationship with sales growth at the upper quantile, while a positive effect at the lower quantile. We show that young firms and firms with high R&D intensity contribute to the high growth rate, while the relationship is not clear at the lower quantile. Therefore, policy implication in this research is that the government should pay attention to encouraging and supporting R&D investment activities and small firms as well as consider ways to enhance patent rights.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Fangjing Hao ◽  
Yuantao Xie ◽  
Xiaojiao Liu

This study investigates the impact of China’s Green Credit Guidelines on the technological innovations of heavily polluting enterprises. This study uses data obtained from the CSMAR database (2007–2018) and China Marketization Index Report by Province 2018 and uses the Green Credit Guidelines as a quasi-natural experiment. The sample was divided into an experimental group and a control group; the experimental group disclosed environmental and sustainable development information, while the control group did not. This study’s primary finding is that the Green Credit Guidelines can improve the level of technological innovation of heavily polluting enterprises and have a greater impact in areas with high levels of marketization, indicating that the Green Credit Guidelines have a positive effect on the technological innovation of heavily polluting enterprises. This provides China with an experience constructing relevant policies and regulations and provides empirical evidence regarding the technological innovations of heavily polluting enterprises from the perspective of factor market distortions and the Porter hypothesis.


2018 ◽  
Vol 1 (1) ◽  
pp. p207
Author(s):  
Josephat Lotto ◽  
Catherine T. Mmari

The main objective of this paper was to examine the impact of domestic debt on economic growth in Tanzania for the period 1990 to 2015 using Ordinary Least Square (OLS) regression method to estimate the effects. The study finds that there is an inverse but insignificant relationship between domestic debt and the economic growth of Tanzania as measured by GDP annual growth. The inverse relationship between domestic debt and GDP may be caused by different factors such as; increased trend in domestic borrowing, government lenders’ profile dominated by commercial banks and non-bank financial institutions which promotes the “crowding out” effect; the nature of the instruments used by the government ; the improper use of the domestic borrowed funds which may include funding budgetary deficits, paying up principal and matured obligations on debt, developing financial markets as well as fund other government operations. Other control variables relate with the GDP as predicted. For example, Inflation (INF) has a negative effect on the GDP growth rate, but the relationship is not statistically significant, while gross capital formation (GCF) has a positive statistically significant effect on GDP growth rate. Furthermore, foreign direct investment (FDI) showed a positive effect on the GDP growth rate and export (X) has a positive effect on GDP growth rate, and the relationship is statistically significant explaining that if a country applied an export-led growth economic strategy it enjoys the gains of participating in the world market. This means that an increase in export stimulates demand for goods which leads to increase in output, and as a country’s output increases, the economic performance also takes a similar trend. Finally, government expenditure (GE) had a negative effect on the GDP growth rate which may be explained by the increased government expenditures which are funded by either tax or borrowing. Therefore, what is required for countries like Tanzania is to have better debt management strategies as well as prudential financial management while maintaining to remain within the internationally acceptable debt level of 45% of GDP and maintain a GDP growth rate of not less than 5%. It is important for the country to realize from where to borrow from, the tenure, the risks involved and limitations to borrowing and thus set the right balance of combination of both kinds of debt. Another requirement is to properly utilize the borrowed funds. The central government’s objective should be to use the funds in more development-oriented projects that bring positive returns to the economic development.  The government should not only create a right environment and policies for investment to attract investment from domestic and foreign sources but also be cautious about the kind of investments that the foreign investors make.


2021 ◽  
Vol 51 (12) ◽  
Author(s):  
Zhipeng He ◽  
Ye Deng ◽  
Kang Yu ◽  
Lei Li

ABSTRACT: Based on the data of “employment and food demand of urban migrant workers”, this paper empirically analyzed the impact of urban pension insurance on the nutritional intake structure of migrant workers. The results showed that participating in urban pension insurance can change the nutritional intake structure of migrant workers. Additionally, fat and protein replace carbohydrate as the main nutrition sources for migrant workers. After controlling the income and labor intensity of migrant workers and other factors, urban pension insurance has a positive effect on the intake of fat and protein of migrant workers for they increase by 13.5% and 8.8% respectively. There is no significant effect on the intake of carbohydrates of migrant workers. The calorie intake of migrant workers increases by 6.8% accounting for the change of nutritional intake structure. Endogenous and robustness tests showed that the above conclusions are robust. Heterogeneity analysis showed that there is no significant difference in the effect of urban pension insurance on calorie intake of migrant workers in different income levels and age groups.


Author(s):  
C. D. Amitha ◽  
C. Karthikeyan ◽  
M. Nirmala Devi

Rythu Bandhu Scheme (RBS) also Farmers investment Support Scheme is a welfare program to support farmer investment for two crops a year where the cash is paid directly by the Government of Telangana. A sample of 60 beneficiaries were selected from Warangal district of Telangana state. In order to find out the impact of RBS on beneficiaries - inputs purchasing power, continuity in farming, rural indebtedness, productivity, farm income(in Rs.) and cropping intensity were studied before and after implementation of RBS i.e., in 2016-17 and 2020-21 for beneficiaries.  Based on the results in respective year, “Z” test was applied to find out the difference after the implementation of scheme. From the analysis, it was found that significant difference was observed among respondents with respect to inputs purchasing power (6.74*), continuity in farming (2.93*), rural indebtedness (4.02*), productivity (3.72*), farm income (4.53*). RBS is increasing the beneficiaries capacity to purchase inputs with timely performing agricultural activities, their likeliness to continue farming and better coping with debt.


2021 ◽  
Vol 25 (4) ◽  
pp. 98-109
Author(s):  
B. D. Matrizaev

This article examines the main mechanisms and tools for implementing innovation policy in countries with fastgrowing economies such as China and India. The study aims to explore the causal relationship between innovation, key macroeconomicvariables and economic growth.The author applies the entropy method and adapts the Graymodel to build a system of indices for assessing the coordination of the interaction of technological innovation, financial development and economic growth. The results show that the degree of integration of the financial system into innovation processes has a significant positive impact on the success of innovation, which is measured by patent activity. Our research proves that innovation indirectly affects economic growth through quality of life, infrastructure efficiency, employment, and rade openness. The findings of the research reveal that both economic growth and innovation tend to depend on a number of conjugate variables in the long run: capital, labor, etc. The author concludes that a comprehensive analysis of technological innovation, financial development and economic growth shows that the three-factor relationship has great potential for coordinated development, as a result of which, according to the calculated forecasts, economic growth in fast-growing economies will significantly accelerate its pace in the next five years. The subject of further research may be an analysis of whether the degree of conjugation of connectivity and coordination between the three systems will maintain stable growth at high values and whether they will be able to reach the stage of transformation.


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