Transportation infrastructure and rural development in China

2016 ◽  
Vol 8 (3) ◽  
pp. 516-525 ◽  
Author(s):  
Zhiyang Wang ◽  
Sizhong Sun
Keyword(s):  
Rural Development ◽  
Rural Households ◽  
Transportation Infrastructure ◽  
Infrastructure Investment ◽  
Net Income ◽  
Content Type ◽  
The Road ◽  
Long Run ◽  
Percent Increase ◽  
Per Capita

Purpose The infrastructure investment is one important source of economic growth in China in the past three decades. However it is not clear to what extent such investment affects development in rural area. The purpose of this paper is to explore this impact both conceptually and quantitatively, and draw policy implications from the empirical exercise. Design/methodology/approach The authors first describe the conceptual link between the transportation infrastructure and rural development, which motivates the empirical model. Then by utilizing an autoregressive distributed lag model, the authors estimate both the short- and long-run impacts of the transportation infrastructure on rural development, in terms of cereal yield and per capita net income of rural households. Findings The authors find that investment in transportation infrastructure positively affects rural development in China. In terms of cereal yield, a 1 percent increase in the road infrastructure (road length) leads to around 0.05 percent increase in cereal yield in the short-, and around 0.19 percent increase in the long-run. In terms of the per capita net income of rural households, a 1 percent increase in the road infrastructure results in around 0.14 percent increase in the short-, and its long-run impact is not statistically significant. The positive impacts lend supports to promote investment in the transportation infrastructure. To this end, in addition to the government funding, the participation of private capital can also be promoted through a number of channels, such as the build-operate-transfer, public-private partnership, and establishment of infrastructure investment bank. Originality/value This study evaluates the impacts of transportation infrastructure on rural development in China. Despite of the importance of infrastructure and rural development, there is a lack of study on the interaction between them. This paper intends to fill in this gap. In addition, implications drawn in this exercise can benefit policy makers not only in China, but also in other developing countries.

The Impact of China’s Passenger Turnover Quantity on Farmer Income Increase

2014 ◽  
Vol 1065-1069 ◽  
pp. 3301-3305
Author(s):  
Cong Zhang
Keyword(s):  
Positive Influence ◽  
Rank Test ◽  
Net Income ◽  
The Road ◽  
Peasant Workers ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Causality Tests ◽  
Per Capita ◽  
The Impact

Based on the data of passenger turnover quantity, agriculture gross production, peasant workers’ salary and rural per capita net income from 1973 to 2013 of China, this paper empirically analyzed the impact of China’s passenger person-kilometers on rural per capita net income. By build Var model, Co-integration Rank Test and Granger Causality Tests, author illustrate the relation between passenger person-kilometers and rural per capita net income. The results show that there are one way lead relations and long-run equilibrium relationship between them. The increase of person-kilometers has positive influence on rural per capita net income. We can promote the farmers' income by strengthen the construction of rural roads and planning the road network more reasonable.

Does educational progress impact energy consumption? A causality test for India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Causality Test ◽  
Content Type ◽  
Vector Error Correction ◽  
Educational Advancement ◽  
Long Run ◽  
Short Run ◽  
Development Goals ◽  
Per Capita

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.

Impacts of remittances on financial development

2020 ◽  
Vol 47 (3) ◽  
pp. 467-477
Author(s):  
SeyedSoroosh Azizi
Keyword(s):  
Developing Countries ◽  
Interest Rates ◽  
Financial Development ◽  
Positive Impact ◽  
National Income ◽  
Fixed Effect Model ◽  
Content Type ◽  
International Remittances ◽  
Long Run ◽  
Percent Increase

PurposeThe purpose of this paper is to examine the impacts of international remittances on financial development in developing countries.Design/methodology/approachThe focus is on a panel of 124 developing countries for the period 1990–2015. The empirical evidence is based on the instrumental variable-fixed effect model.FindingsResults obtained in this study indicate that a 10 percent increase in the remittance to GDP ratio leads to 1.7 percent increase in domestic credit to private sector, 1.9 percent increase in bank credit, 1.2 percent increase in bank deposit, and 0.8 percent increase in liquid liabilities. The positive impact of remittances on financial development in developing countries is particularly important because financial development fosters long-run growth and reduces poverty.Originality/valueTo address the endogeneity of remittances, the study estimates bilateral remittances and use them to create weighted gross national income per capita and real interest rates of remittance-sending countries. To the best of the author’s knowledge, this is the first study to assess the endogeneity of remittances in this way.

An empirical note on entrepreneurship and unemployment

2016 ◽  
Vol 5 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Nicholas Apergis ◽  
James E Payne
Keyword(s):  
Error Correction ◽  
Panel Cointegration ◽  
Personal Income ◽  
Entrepreneurial Activity ◽  
Cross Sectional ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Capita Personal Income

Purpose – The purpose of this paper is to extend the existing literature on the causal dynamics between entrepreneurship and the unemployment rate (UR) in the use of the Kauffman Foundation index of entrepreneurial activity. Design/methodology/approach – Recently developed panel unit root tests with recognition of cross-sectional dependence and panel cointegration/error correction modeling techniques are applied to US States. Findings – The results indicate that the rate of entrepreneurship, the UR, and real per capita personal income are cointegrated. The panel error correction model reveals that bidirectional causality exists among the variables in both the short run and long run. With respect to entrepreneurship, an increase in the UR increases the rate of entrepreneurship, in turn, an increase in the rate of entrepreneurship lowers the UR. Moreover, the results also show a positive bidirectional relationship between the rate of entrepreneurship and real per capita personal income. Originality/value – Unlike other standard measures of entrepreneurship, this is the first empirical study of the causal dynamics between entrepreneurship and the UR using the Kauffman Foundation index of entrepreneurial activity.

Does public investment crowd-out private investment in India

2017 ◽  
Vol 9 (1) ◽  
pp. 50-69 ◽  
Author(s):  
Shanmugam Muthu
Keyword(s):  
Public Investment ◽  
Private Investment ◽  
Infrastructure Investment ◽  
Public Infrastructure ◽  
Public And Private ◽  
Content Type ◽  
Macroeconomic Uncertainty ◽  
Long Run ◽  
Short Run

Purpose The purpose of this paper is to examine the crowding-in or crowding-out relationship between public and private investment in India. Design/methodology/approach The autoregressive distributed lag (ARDL) bounds testing approach is used to estimate the long run relationship between public and private investment using annual data from 1971-1972 to 2009-2010. Findings Based on the empirical findings, it is observed that aggregate public investment has a positive effect on private investment both in the long run and the short run. In contrast to the findings of previous studies, no significant impact of public infrastructure investment on private investments is found in the long run, while non-infrastructure investment has a positive impact on private investment in the short run. Among the various categories of infrastructure sector, a positive and significant impact in the case of electricity, gas and water supply is observed. Similarly, the result indicates that public investment in machinery and equipment and construction have substantially influenced the private sector machinery and equipment in the long run and the short run. In the case of the role of macroeconomic uncertainty, the results find a negative and significant impact on private investment and the impact is higher in the short run than in the long run. Originality/value The present study extends the literature in three important ways: First, the study attempts to capture heterogeneity of public investment as well as disaggregate effects of two different categories of public infrastructure on private investment. The extent to which two different types of public assets impact the private investment in machinery and equipment investment is also examined. Second, ARDL model is used to examine the long-run relationship between public and private investment. Third, the study incorporates macroeconomic uncertainty into the empirical analysis to examine the role of macroeconomic volatility in determining private investment decision.

The long run impact of immigration on labor market in an advanced economy

2015 ◽  
Vol 42 (4) ◽  
pp. 356-367
Author(s):  
Faridul Islam ◽  
Saleheen Khan
Keyword(s):  
Labor Market ◽  
Gdp Per Capita ◽  
Advanced Economy ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
The Usa ◽  
Short Run ◽  
Per Capita ◽  
The Impact

Purpose – The purpose of this paper is to examine the dynamic relationship among immigration rate, GDP per capita, and and real wage rates in the USA. Design/methodology/approach – The paper implements the Johansen-Juselius (1990, 1992) cointegration technique to test for a long-run relationship; and for short-run dynamics the authors apply Granger causality tests under the vector error-correction model. Findings – The results show that the long-run causality runs from GDP per capita to immigration, not vice versa. Growing economy attracts immigrants. The authors also find that immigration flow depresses average weekly earnings of the natives in the long-run. Originality/value – The authors are not aware of any study on the USA addressing the impact of immigrants on labor market using a tripartite approach by explicitly incorporating economic growth. It is therefore important to pursue a theoretically justified empirical model in search of a relation to resolve on apparent immigration debate.

Cointegration-causality analysis between terrorism and key macroeconomic indicators

2014 ◽  
Vol 41 (8) ◽  
pp. 664-682 ◽  
Author(s):  
Aisha Ismail ◽  
Shehla Amjad
Keyword(s):  
Research Work ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Macroeconomic Indicators ◽  
Per Capita ◽  
The Relationship

Purpose – The purpose of this paper is two folds: first, to analyze the long-run relationship between terrorism and key macroeconomic indicators (GDP growth, GDP per capita, inflation and unemployment) and second, to determine the direction of causality between these variables in Pakistan. Design/methodology/approach – The relationship between terrorism and various macroeconomic indicators is analyzed by applying Johansen cointegration analysis. Furthermore, the causality between terrorism and macroeconomic indicators is tested by applying Toda Yamamoto Granger causality test. Findings – The results show that there exists a long-run relationship between terrorism and key macroeconomic indicators. Furthermore, the results suggest that there exists a bi-directional causality between terrorism and inflation. The causality between GDP per capita, unemployment, GDP growth and terrorism is unidirectional. Originality/value – There is a lack of research work conducted to analyze the long-run relationship and direction of causation between terrorism and various macroeconomic indicators specifically for Pakistan. The current paper fills the gap in the literature by using sophisticated econometric techniques and recent data set to provide the evidence of the relationship between terrorism and various macroeconomic indicators.

scholarly journals The Impact of Urban Transportation Infrastructure on Air Quality

2020 ◽  
Vol 12 (14) ◽  
pp. 5626 ◽  
Author(s):  
Yujing Guo ◽  
Qian Zhang ◽  
Kin Keung Lai ◽  
Yingqin Zhang ◽  
Shubin Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Motor Vehicle ◽  
National Level ◽  
Transportation Infrastructure ◽  
Gdp Per Capita ◽  
Infrastructure Investment ◽  
Empirical Results ◽  
Per Capita ◽  
The Impact

While previous study has confirmed significant correlation between infrastructure construction and air quality, little is known about the nature of the relationship. In this paper, we intend to fill this gap by using the Panel Smooth Transition Regression (PSTR) model to discuss the nonlinear relationship between transportation infrastructure construction and air quality. The panel data includes 280 cities in China for the period 2000-2017. We find that the transportation infrastructure investment is positively correlated to the air quality when the GDP per capita is below RMB 7151 or the number of motor vehicle population per capita is below 37 (vehicles per 10,000 persons) where the model is in the lower regime, and that the transportation infrastructure investment is negatively correlated to the air quality when the GDP per capita is greater than RMB 7151 or the number of motor vehicle population per capita is larger than 37 (vehicles per 10,000 persons) where the model is in the upper regime. The empirical results of the three sub-samples, including eastern, western and central regions, are similar to that of the national level. Furthermore, increasing transportation infrastructure investment is conducive to improving air quality. Urban bus services, green area, population density, wind speed and rainfall are also conducive to reducing air pollution, but the role of environmental regulation is not significant. After adding the instrumental variable (urban built-up area), the conclusions are further supported. Finally, relevant policy recommendations for reducing air pollution are proposed based on the empirical results.

Does any nexus between electricity consumption and economic growth exist? Evidence from Haryana using VAR model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamaljit Singh
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Granger Causality Test ◽  
Economic Downturn ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Per Capita

Purpose In the fast-changing technological environment, electricity is the essence of the world economy and a significant means for all the modern world’s possessions. The ongoing economic downturn focuses on energy’s role in the economy. This study aims to explore the nexuses between per capita electricity usage and per capita state gross domestic product (SGDP) in Haryana, India. Design/methodology/approach The statistics from 1989 to 2015 have been analyzed using Johansen cointegration, vector autoregression and paired Granger-causality test. Findings The Granger causality test results show that a long-run association is absent. A short-run unidirectional relationship runs from per capita SGDP to per capita electricity usage. Practical implications As a policy suggestion, the policymakers may encourage energy conservation measures and renewable energy sources to lead the country’s sustainable energy supply. Moreover, Haryana can increase its influence in this sector and enter rapidly in the growing markets worldwide by stimulating the production and adoption of digital solutions for energy efficiency. Originality/value To the best of the author’s awareness, this research is one of its nature regarding systematically analyzing electricity usage and economic growth relationship in Haryana.

Revisiting the housing market dynamics and its fundamentals: new evidence from Cyprus

2020 ◽  
Vol 47 (1) ◽  
pp. 200-216 ◽  
Author(s):  
Andrew Adewale Alola
Keyword(s):  
Gross Domestic Product ◽  
Housing Market ◽  
Urban Population ◽  
House Price ◽  
Producer Price ◽  
Content Type ◽  
Long Run ◽  
Per Capita ◽  
The Republic ◽  
Republic Of Cyprus

PurposeStudies have shown that economic expansion is characterized by the activities in the productive and industrial sectors. And, recently, the Republic of Cyprus has consistently experienced a relative economic growth. In this light, the current study revisits the dynamics of the housing market and its fundamentals for Cyprus using the quarterly data from 2005Q1 to 2016Q4.Design/methodology/approachProducer price and industrial production indices were employed along with the gross domestic product per capita and urban population as control variables. The empirical technique employed is the dynamic and fully modified ordinary least square approaches where unobserved factors are potentially controlled.FindingsEmpirical evidence of long-run relationship exists between the observed indicators and the house price. Indicatively, statistical evidence reveals a positive and significant long-run relationship between the producer price index and the house price. In a similar manner, there is a strongly significant but a negative long-run nexus of industrial production index and the house price. And, expectedly, the observed long-run nexus of the house price and each of real gross domestic product per capita and the urban population is positive and significant. Interestingly, there exists significant unidirectional Granger causality from each of the independent variables to the housing price. Lastly, the robustness check and the diagnostic test of the investigation suggest a very consistent result and stable model with no problems of serial correlation and heteroskedasticity.Research limitations/implicationsThe fragility of Cyprus's housing market suggests the need for the adoption of an effective policy framework.Originality/valueAlthough the housing market has been studied in the context of the Republic of Cyprus, the novelty is hinged on the joint incorporation of the industrial and producer price indices in a housing model of the study.

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