scholarly journals Research on the Impact of Human capital on the Transformation and Upgrading of China’s Industrial Structure from the Perspective of Low Carbon Development

2021 ◽  
Vol 275 ◽  
pp. 02038
Author(s):  
Yiwen Gao
Keyword(s):  
Human Capital ◽  
Capital Investment ◽  
Industrial Structure ◽  
Empirical Test ◽  
Panel Data Analysis ◽  
Relevant Literature ◽  
Economic Transformation ◽  
Low Carbon ◽  
The Government ◽  
The Impact

From the perspective of low-carbon, this paper analyzes the impact of human capital on the transformation and upgrading of China’s industrial structure. Firstly, it combs the relevant literature, then theoretically analyzes the mechanism of human capital on the transformation and upgrading of China’s industrial structure, and then selects the energy consumption data of 30 provinces, autonomous regions, and municipalities (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2006 to 2016 Human capital data, using panel data analysis for empirical test. The results show that human capital has a positive effect on the low-carbon transformation and upgrading of industrial structure, but there are some differences in the effect on the whole country and different regions in the East, middle and West. Finally, from the perspective of the government, enterprises, schools and individuals, this paper puts forward some countermeasures and suggestions, such as responding to the economic transformation and low-carbon economy policies, strengthening human capital investment, and accelerating the cultivation of low-carbon talents.

scholarly journals The Impact of Tourism on the Local Economy in Malaysia

2018 ◽  
Vol 13 (12) ◽  
pp. 151 ◽  
Author(s):  
Chin-Hong Puah ◽  
Meng-Chang Jong ◽  
Norazirah Ayob ◽  
Shafinar Ismail
Keyword(s):  
Economic Growth ◽  
Capital Investment ◽  
Positive Impact ◽  
Economic Transformation ◽  
Tourism Industry ◽  
Local Economy ◽  
Sustainable Growth ◽  
Distributed Lag ◽  
The Government ◽  
The Impact

The local and international communities play an important role in the sustainable growth of the Malaysian tourism industry. The principle of sustainable growth in the tourism industry was proposed by the World Tourism Organization (WTO) in 1988. As the tourism industry is one of the largest and fastest growing industries in Malaysia, the government has poured considerable effort into promoting this industry consistent with the objective of the Economic Transformation Program (ETP) to transform from a resource-based economy to a service-based economy. This study aimed to test the hypothesis of tourism-led growth from Malaysia’s perspective. The tourism revenue earned by the government can be used to invest in industry to further promote economic growth in Malaysia. Hence, tourist receipts and capital investment in the tourism industry are important factors that can affect the nation’s economic growth. Utilizing Malaysian data from 1995 to 2016, the study employed the Autoregressive Distributed Lag (ARDL) approach to examine whether the tourism-led growth is valid in this study. Empirical findings indicated that both variables have a significant positive impact on economic growth and the hypothesis of tourism-led growth is accepted in Malaysia.

Research on Development Status and Countermeasure of Shandong Province Low Carbon City

2012 ◽  
Vol 524-527 ◽  
pp. 2636-2640
Author(s):  
Xiu Li Sun ◽  
Xue Qin Sun
Keyword(s):  
Capital Investment ◽  
Industrial Structure ◽  
Shandong Province ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Healthy Development ◽  
The Status ◽  
Countermeasures And Suggestions ◽  
Low Carbon City ◽  
The Impact

Due to the impact of climate change, the development of low-carbon economy and building a low carbon city has become one of the optimal mode of urban development in the future. This paper first describes the related concepts of low-carbon cities, introduces the status of the development of low carbon cities in Shandong Province, identify the favorable conditions and unfavorable factors of the development of low carbon cities in Shandong Province, and finally put forward countermeasures and suggestions. This article points out that Shandong Province should improve the low - carbon policies and systems, build a legal system, increase low-carbon capital investment, develop the carbon trading markets, adjust industrial structure, promote energy conservation etc, then realize the healthy development of low-carbon city.

scholarly journals The Heterogeneous Influence of Infrastructure Construction on China’s Urban Green and Smart Development—The Threshold Effect of Urban Scale

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1015
Author(s):  
Lingyan Xu ◽  
Dandan Wang ◽  
Jianguo Du
Keyword(s):  
Human Capital ◽  
Capital Investment ◽  
Industrial Structure ◽  
Positive Impact ◽  
Smart Cities ◽  
Urban Green ◽  
Positive Effects ◽  
Development Level ◽  
Telecommunication Infrastructure ◽  
The Impact

The construction of green and smart cities is an important approach to enhancing the level of high-quality development and modern governance, in which infrastructure construction is the antecedent condition. From the perspective of green total factor productivity (GTFP), this paper adopts the SBM–GML (Slack-Based Model and Global Malmquist–Luenberger) index to measure the urban green and smart development level (GSDL) considering smart input–output factors. Based on the panel data of China’s 223 prefecture-level cities from 2005 to 2018, the dynamic impacts, temporal, and spatial differences of energy, transportation, and telecommunication infrastructure construction on the urban GSDL are discussed, and the threshold effects of urban scale are tested. The following conclusions are drawn: (1) On the whole, energy infrastructure inhibits the urban GSDL, while transportation and telecommunication infrastructures significantly promote it. There are distinct spatial and temporal characteristics among the impacts of these three infrastructures on the urban GSDL, in which the facilitating role of transportation and telecommunication infrastructures are further enhanced during the period of 2013–2018. Furthermore, the impacts of these three infrastructures on the urban GSDL all show “U” shape in terms of non-linearity. (2) Economic development level and industrial structure have significant positive effects on the urban GSDL, whereas human capital only has positive effect in the northeast and southwest regions, and government scale shows no positive impact yet. (3) There is a single threshold for the impact of urban scale on these three infrastructures, among which the impacts of energy and transportation infrastructures on the urban GSDL remain consistent before and after the threshold, while the impact of telecommunication infrastructure on the urban GSDL varies from having no significance to being positive when crossing the threshold. Thus, capital investment for infrastructure construction should be further allocated reasonably, the positive potential of human capital should be fully released, and the urban scale should be appropriately controlled in the future.

scholarly journals IMPACT EVALUATION OF THE SCHOOL OPERATIONAL ASSISTANCE PROGRAM (BOS) USING THE MATCHING METHOD

2016 ◽  
Vol 31 (1) ◽  
pp. 33
Author(s):  
Eny Sulistyaningrum
Keyword(s):  
Human Capital ◽  
Student Performance ◽  
Urban Areas ◽  
Capital Investment ◽  
Early Stage ◽  
Average Treatment Effect ◽  
Assistance Program ◽  
Subsidy Program ◽  
The Government ◽  
The Impact

Investment in human capital, especially in children’s education, is considered to be among the most effective ways for countries to improve their national welfare and reduce poverty in the long term. The Government of Indonesia has promoted human capital investment, especially in children, by designing school subsidy programs. Since 2005, the school operational assistance program (BOS) has been the biggest school subsidy program in Indonesia during the last two decades. This paper evaluates the impact of BOS on children’s test scores at the early stage. This study uses Propensity Score Matching (PSM) to estimate the average treatment effect, in the absence of selection, on unobserved characteristics. The results confirm that BOS can increase student performance. The finding suggests that the Government of Indonesia needs to develop a subsidy program to provide a basic level of education for all students, especially for the poor, as the recent school subsidy program is only sufficient for school fees or even only enough for tuition fees if the students live in urban areas. The remainder of the education expenditures must be covered by the household.Keywords: School Subsidy, BOS, PSM, Test ScoresJEL: H52, I22, I25

scholarly journals Mechanism and Test of the Impact of Lack of Human Capital on Ecological Development in Innovation Sector

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xing Xu
Keyword(s):  
Human Capital ◽  
Empirical Test ◽  
Inhibitory Effect ◽  
Capital Allocation ◽  
Learning By Doing ◽  
Ecological Development ◽  
Endogenous Growth Model ◽  
Innovation Sector ◽  
The Government ◽  
The Impact

Based on the endogenous growth model and scenario simulation, this paper theoretically analyzes the internal mechanism of the impact of the lack of human capital in innovation departments on ecological development. The simulation results show that the lack of human capital in the innovation sector not only has a significant inhibitory effect on ecological development, but this inhibitory effect positively depends on the accumulation effect of R&D stock on knowledge production and the effect of learning-by-doing. On this basis, the empirical test of the above conclusions with the help of interprovincial panel data confirms its correctness, and the empirical results are robust. Therefore, it is recommended that the government builds an appropriate human capital allocation and compensation mechanism to induce human capital to enter the innovation sector, so as to shape a development and innovation efficiency model that is consistent with economic and ecological goals.

scholarly journals Government Intervention, Nature of Ownership and Enterprise Investment Efficiency——An Empirical Research Based on Panel Data Analysis

2021 ◽  
Vol 292 ◽  
pp. 02005
Author(s):  
Menghao Lin
Keyword(s):  
Government Intervention ◽  
Panel Data Analysis ◽  
Economic Transformation ◽  
Investment Efficiency ◽  
Critical Stage ◽  
Rapid Economic Growth ◽  
The Government ◽  
The Impact ◽  
Enterprise Investment ◽  
Investment Behaviour

In the critical stage of economic transformation and upgrading, the government has a strong incentive to intervene in the investment behaviour of enterprises under the double assessment of political and economic indicators. This paper found that government intervention has a significant impact on enterprise investment, by providing financial support and other means to promote enterprises to expand investment, but due to the lack of effective guidance, it turns into over-investment. After further distinguishing the nature of ownership between state-owned enterprises and non-state-owned enterprises, the phenomenon that government intervention affects enterprise investment is more obvious in state-owned enterprises, which is reflected in promoting over-investment and restraining under-investment. Therefore, government intervention will affect the investment efficiency of state-owned enterprises to a greater extent and make them develop in the direction of over-investment. This paper provides an overall perspective to explore the impact of government intervention on enterprise investment behaviour under the rapid economic growth.

scholarly journals The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

2021 ◽  
Vol 18 (2) ◽  
pp. 705
Author(s):  
Hongpeng Guo ◽  
Sidong Xie ◽  
Chulin Pan
Keyword(s):  
Carbon Emissions ◽  
Structural Changes ◽  
Multiple Linear Regression Model ◽  
Industry Structure ◽  
Estimation Methods ◽  
Low Carbon ◽  
Carbon Sinks ◽  
Resource Endowment ◽  
The Government ◽  
The Impact

This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.

scholarly journals The Impact of Environmental Regulation on the Location of Pollution-Intensive Industries in China under Agglomeration Effect

2021 ◽  
Vol 18 (8) ◽  
pp. 4045
Author(s):  
Yinhao Wu ◽  
Shumin Yu ◽  
Xiangdong Duan
Keyword(s):  
Environmental Regulation ◽  
Local Economic Development ◽  
Negative Impact ◽  
Empirical Test ◽  
Mediating Effect ◽  
Production Costs ◽  
Agglomeration Effect ◽  
The Government ◽  
Pollutant Discharge ◽  
The Impact

Pollution-intensive industries (PIIs) have both scale effect and environmental sensitivity. Therefore, this paper studies how environmental regulation (ER) affects the location dynamics of PIIs under the agglomeration effect. Our results show that, ER can increase the production costs of pollution-intensive firms (PIFs) by internalizing the negative impact of pollutant discharge in a region, and thus, directly reduces the region’s attractiveness to PIFs. Meanwhile, ER can indirectly reduce the attractiveness of a region to PIFs by reducing the externality of the regional agglomeration effect. Moreover, these influences are regulated by the level of local economic development. Based on the moderated mediating effect model, we find evidence from the site selection activities of newly built chemical firms in cities across China. The empirical test shows that compared with 2014, the proportion of the direct effect of ER to the total effects significantly decreased in 2018, while the proportion of indirect effects under the agglomeration effect increased significantly. Our findings provide reference for the government to design effective environmental policies to guide the location choice of new PIFs.

Stock Market Reaction on Green-Bond Issue: Evidence from Indian Green-Bond Issuers

2021 ◽  
pp. 097226292110225
Author(s):  
Rakesh Kumar Verma ◽  
Rohit Bansal
Keyword(s):  
Stock Returns ◽  
Financial Institutions ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Developed Countries ◽  
Low Carbon ◽  
Bond Issue ◽  
The Government ◽  
The Impact

Purpose: A green bond is a financial instrument issued by governments, financial institutions and corporations to fund green projects, such as those involving renewable energy, green buildings, low carbon transport, etc. This study analyses the effect of green-bond issue announcement on the issuer’s stock price movement. It shows the reaction of the stock price after the issue of green bonds. Methodology: This study is based on secondary data. Green-bond issue dates have been collected from newspaper articles from different online sources, such as Business Standard, The Economic Times, Moneycontrol, etc. The closing prices of stocks have been taken from the NSE (National Stock Exchange of India Limited) website. An event window of 21 days has been fixed for the study, including the 10 days before and after the issue date. Data analysis is carried out through the event study method using the R software. Calculation of abnormal returns is done using three models: mean-adjusted returns model, market-adjusted returns model and risk-adjusted returns model. Findings: The results show that the issue of green bonds has a significant positive effect on the stock price. Returns increase after the green-bond issue announcement. Although the announcement day shows a negative return for all the samples taken for the study, the 10-day cumulative abnormal return (CAR) is positive. Thus, green-bond issues lead to positive sentiments among investors. Research implications: This research article will help the government issue more green bonds so that the proceeds can be utilized for green projects. The government should motivate corporations and financial institutions to issue more green bonds to help the economy grow. In India, very few organizations have issued a green bond. It will be beneficial if these players issue green bonds, as it will increase the firms’ value and boost returns to the investors. Originality/value: The effect of green-bond issue on stock returns has been analysed in some studies in developed countries. This is the first study to examine the impact of green-bond issue on stock returns in the Indian context, to the best of our knowledge.

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