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This paper investigates the impact of education on output of rice farming households in Vietnam.
Abstract
Purpose
This paper investigates the impact of education on output of rice farming households in Vietnam.
Design/methodology/approach
Given the literature review, this paper specifies three empirical models (i.e. linear constant coefficient model, partially nonlinear model and linear varied coefficient model) with variables that well describe the mechanism through which education affects output. The data were collected from 901 rice farming households randomly selected out of ten provinces and city in the Mekong River Delta (MRD) of Vietnam. The models are estimated using ordinary least squares (OLS) and Robinson's (1988) double residual estimators.
Findings
Estimates of the empirical models show that seed, fertilizer, labor and farm size have significant impacts on output of rice farming households while pesticide and herbicide do not. Education is also found to have a positive effect on output of rice farming households because it helps them better manage farms of larger size via combining various inputs in a more desirable way.
Originality/value
This paper confirms the positive impact of education on agricultural output, which implies that policies aiming to provide better education to rural people will greatly enhance their income as well as trigger long-term economic and agricultural growth.
As climate change impacts residential life, people typically use heating or cooling appliances to deal with varying outside temperatures, bringing extra electricity demand and…
Abstract
Purpose
As climate change impacts residential life, people typically use heating or cooling appliances to deal with varying outside temperatures, bringing extra electricity demand and living costs. Water is more cost-effective than electricity and could provide the same body utility, which may be an alternative choice to smooth electricity consumption fluctuation and provide living cost incentives. Therefore, this study aims to identify the substitute effect of water on the relationship between climate change and residential electricity consumption.
Design/methodology/approach
This study identifies the substitute effect of water and potential heterogeneity using panel data from 295 cities in China over the period 2004–2019. The quantile regression and the partially linear functional coefficient model in this study could reduce the risks of model misspecification and enable detailed identification of the substitution mechanism, which is in line with reality and precisely determines the heterogeneity at different consumption levels.
Findings
The results indicate that residential water consumption can weaken the impact of cooling demand on residential electricity consumption, especially in low-income regions. Moreover, residents exhibited adaptive asymmetric behaviors. As the electricity consumption level increased, the substitute effects gradually get strong. The substitute effects gradually strengthened when residential water consumption per capita exceeds 16.44 tons as the meeting of the basic life guarantee.
Originality/value
This study identifies the substitution role of water and heterogeneous behaviors in the residential sector in China. These findings augment the existing literature and could aid policymakers, investors and residents regarding climate issues, risk management and budget management.
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Keywords
Denita Cepiku, Benedetta Marchese and Marco Mastrodascio
This article aims at shedding light on differences in terms of crisis management approaches adopted by the Italian government in order to tackle the two most impactful crises that…
Abstract
Purpose
This article aims at shedding light on differences in terms of crisis management approaches adopted by the Italian government in order to tackle the two most impactful crises that heavily hit the entire globe in the last 15 years: the financial and economic crisis occurred in 2007/2008 and the health crisis occurred in 2020 due to the COVID-19 pandemic. Furthermore, the article makes conceptual previsions on the potential impact of the health crisis even though, at this time, it is hard to predict the exact extent of its negative consequences.
Design/methodology/approach
The authors implement a comparative approach, in terms of budgetary response, to identify the differences and the consequences of the different responses provided by the Italian government to deal with the two worldwide crises.
Findings
While the economic and financial crisis occurred in the past decade required the Italian government to adopt predominantly austerity measures, the pandemic occurred due to the spreading of COVID-19 pushed the Italian government to adopt investment and fiscal policy based on tax breaks in order to allow the re-launch of the socio-economic fabric of the nation.
Originality/value
The originality of this paper stems from the scant research focused on the budgetary response of governments to tackle global crises. In addition, the paper endeavours to demonstrate the consequences of the myopic vision of the political leaders who, as it occurred in the Italian context, mainly aimed at maximizing the results in the short run at the expense of the potential consequences in the long run.
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Daniel de Abreu Pereira Uhr, Mikael Jhordan Lacerda Cordeiro and Júlia Gallego Ziero Uhr
This research assesses the economic impact of biomass plant installations on Brazilian municipalities, focusing on (1) labor income, (2) sectoral labor income and (3) income…
Abstract
Purpose
This research assesses the economic impact of biomass plant installations on Brazilian municipalities, focusing on (1) labor income, (2) sectoral labor income and (3) income inequality.
Design/methodology/approach
Municipal data from the Annual Social Information Report, the National Electric Energy Agency and the National Institute of Meteorology spanning 2002 to 2020 are utilized. The Synthetic Difference-in-Differences methodology is employed for empirical analysis, and robustness checks are conducted using the Doubly Robust Difference in Differences and the Double/Debiased Machine Learning methods.
Findings
The findings reveal that biomass plant installations lead to an average annual increase of approximately R$688.00 in formal workers' wages and reduce formal income inequality, with notable benefits observed for workers in the industry and agriculture sectors. The robustness tests support and validate the primary results, highlighting the positive implications of renewable energy integration on economic development in the studied municipalities.
Originality/value
This article represents a groundbreaking contribution to the existing literature as it pioneers the identification of the impact of biomass plant installation on formal employment income and local economic development in Brazil. To the best of our knowledge, this study is the first to uncover such effects. Moreover, the authors comprehensively examine sectoral implications and formal income inequality.
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Keywords
Amin Pujiati, Triani Nurbaeti and Nadia Damayanti
This paper aims to identify variables that determine the differing levels of environmental quality on Java and other islands in Indonesia.
Abstract
Purpose
This paper aims to identify variables that determine the differing levels of environmental quality on Java and other islands in Indonesia.
Design/methodology/approach
Using a quantitative approach, secondary data were sourced from the Central Statistics Agency and the Ministry of Environment and Forestry. The data were obtained through the collection of documentation from 33 provinces in Indonesia. The analytical approach used was discriminant analysis. The research variables are Trade Openness, Foreign Direct Investment (FDI), industry, HDI and population growth.
Findings
The variables that distinguish between the levels of environmental quality in Indonesian provinces on the island of Java and on other islands are Industry, HDI, FDI and population growth. The openness variable is not a differentiating variable for environmental quality. The most powerful variable as a differentiator of environmental quality on Java Island and on other islands is the Industry variable.
Research limitations/implications
This study has not classified the quality of the environment based on the Ministry of Environment and Forestry's categories, namely, the very good, good, quite good, poor, very poor and dangerous. For this reason, further research is needed using multiple discriminant analysis (MDA).
Practical implications
Industry is the variable that most strongly distinguishes between levels of environmental quality on Java and other island, while the industrial sector is the largest contributor to gross regional domestic product (GDRP). Government policy to develop green technology is mandatory so that there is no trade-off between industry and environmental quality.
Originality/value
This study is able to identify the differentiating variables of environmental quality in two different groups, on Java and on the other islands of the Indonesian archipelago.
Details
Keywords
Santiago Valcacer Rodrigues, Heber José de Moura, David Ferreira Lopes Santos and Vinicius Amorim Sobreiro
This paper aims to analyse the capital structure determining factors of Latin American and US corporations after the crisis of 2008, as a means of comparing theoretical…
Abstract
Purpose
This paper aims to analyse the capital structure determining factors of Latin American and US corporations after the crisis of 2008, as a means of comparing theoretical assumptions and empirical results in markets of different efficiency levels.
Design/methodology/approach
The study sample comprises 1,091 companies belonging to the six largest economies in Latin America plus the USA, in the years 2009 to 2013. The authors performed a regression with data from a balanced overview, which were obtained by using the criterion of minimum weighted square.
Findings
The results demonstrated differences in determining factors of capital structure between companies from Latin America and from the USA. The pecking order theory was mostly observed in Latin American companies and the trade-off theory greater was closely aligned with US firms.
Originality/value
This research brings new contributions to the issue, once the differences and determinative of the debt profile in companies from different economic contexts are compared.
Propósito
Este artículo analiza los factores determinantes de la estructura de capital de las corporaciones latinoamericanas y estadounidenses después de la crisis de 2008, para comparar los supuestos teóricos y los resultados empíricos en mercados de diferentes niveles de eficiencia.
Diseño/metodología/enfoque
La muestra del estudio comprende 1.091 empresas pertenecientes a las seis mayores economías de América Latina y Estados Unidos, entre los años 2009 y 2013. Se realizó una regresión con datos de una visión general equilibrada, que se obtuvo utilizando el criterio de cuadrado mínimo ponderado.
Hallazgos
Los resultados muestran diferencias en los factores determinantes de la estructura de capital entre empresas de América Latina y de Estados Unidos. La Teoría de la selección jerárquica se observó principalmente en las empresas latinoamericanas y la Teoría del intercambio más cercana estaba estrechamente alineada con las firmas estadounidenses.
Originalidad/valor
Esta investigación aporta nuevas contribuciones al tema, una vez que comparamos las diferencias y determinantes del perfil de la deuda en empresas de diferentes contextos económicos.
Palabras clave
Endeudamiento, Intercambio, Asimetría de información, Selección jerárquica, Regresión agrupada
Tipo de artículo
Artículo de investigación
Details
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Razali Haron and Salami Mansurat Ayojimi
The purpose of this paper is to examine the impact of the Goods and Service Tax (GST) implementation on Malaysian stock market index.
Abstract
Purpose
The purpose of this paper is to examine the impact of the Goods and Service Tax (GST) implementation on Malaysian stock market index.
Design/methodology/approach
This study used daily closing prices of the Malaysian stock index and futures markets for the period ranging from June 2009 to November 2016. Empirical estimation is based on the generalised autoregressive conditional heteroscedasticity (1, 1) model for pre- and post-announcement of the GST.
Findings
Result shows that volatility of Malaysian stock market index increases in the post-announcement than in the pre-announcement of the GST which indicates that educative programs employed by the government before the GST announcement did not yield meaningful result. The volatility of the Malaysian stock market index is persistent during the GST announcement and highly persistent after the implementation. Noticeable increase in post-announcement is in support with the expectation of the market about GST policy in Malaysia.
Practical implications
The finding of this study is consistent with expectation of the market that GST policy will increase the price of the goods and services and might reduce standard of living. This is supported by a noticeable increase in the volatility of the Malaysian stock market index in the post-announcement of GST which is empirically shown during the announcement and after the implementation of GST. Although the GST announcement could be classified as a scheduled announcement, unwillingness to accept the policy prevails in the market as shown by the increase in the market volatility.
Originality/value
Past studies on Malaysian stock market index volatility focus on the impact of Asian and global financial crisis whereas this study examines the impact of the GST announcement and implementation on the volatility of the Malaysian stock market index.
Details
Keywords
Zoltán Szakály, Enikő Kontor, Sándor Kovács, József Popp, Károly Pető and Zsolt Polereczki
The purpose of this paper is to examine the applicability of the original 36-item Food Choice Questionnaire (FCQ) model developed by Steptoe et al. (1995) in Hungary.
Abstract
Purpose
The purpose of this paper is to examine the applicability of the original 36-item Food Choice Questionnaire (FCQ) model developed by Steptoe et al. (1995) in Hungary.
Design/methodology/approach
The national representative questionnaire involved 1,050 individuals in Hungary in 2015. Several multivariable statistical techniques were applied for the analysis of the data: confirmatory factor analysis, principal component analysis, and cluster and Log-linear analysis.
Findings
The results indicate that the original nine-factor model is only partially applicable to Hungary. This study successfully managed to distinguish the following factors: health and natural content, mood, preparation convenience, price and purchase convenience, sensory appeal, familiarity, and ethical concern. The FCQ scales proved to be suitable for the description of clusters based on specific food choices and demographic characteristics. By using the factors, the following five clusters were identified: modern food enthusiast, tradition-oriented, optimizer, easy-choice and un-concerned, all of which could be addressed by public health policy with individually tailored messages.
Originality/value
The Hungarian testing process of the FCQ model contributes to an examination of its usability and provides the possibility of fitting the model to different cultures.
Details