scholarly journals Export Sophistication and Trade Elasticities

2020 ◽  
Vol 2 (1) ◽  
pp. 7-26 ◽  
Author(s):  
Willem Thorbecke ◽  
Nimesh Salike
Keyword(s):  
Capital Flows ◽  
High Technology ◽  
Ordinary Least Squares ◽  
Jel Classification ◽  
Policy Implications ◽  
Export Structure ◽  
Demand Elasticities ◽  
Trade Elasticities ◽  
Least Squares Techniques

Does a country’s export structure impact the way that exchange rates affect trade? Do more sophisticated products exhibit lower demand elasticities? Using panel data for major exporters over the 1992–2016 period and dynamic ordinary least squares techniques, we find that price elasticities are higher for low-technology goods such as textiles and footwear than for high-technology goods such as pharmaceuticals and medical equipment. We also find that elasticities are larger for less advanced countries such as China than for more advanced countries such as Switzerland. We draw policy implications from these findings for countries exposed to safe haven capital flows, for countries facing long-term appreciation pressures and for countries that specialise in low-technology exports. JEL Classification: F14, F10

Economic Institutions and Growth Nexus: The Role of Governance and Democratic Institutions—Evidence from Time Varying Parameters’ (TVPs) Models

2016 ◽  
Vol 55 (4I-II) ◽  
pp. 675-688
Author(s):  
Ghulam Murtaza ◽  
Muhammad Zahir Faridi
Keyword(s):  
Structural Changes ◽  
Jel Classification ◽  
Economic Institutions ◽  
Time Varying ◽  
Democratic Institutions ◽  
Main Hypothesis ◽  
Dynamic Relationship ◽  
Rolling Window

The present study has investigated the channels through which the linkage between economic institutions and growth is gauged, by addressing the main hypothesis of the study that whether quality of governance and democratic institutions set a stage for economic institutions to promote the long-term growth process in Pakistan. To test the hypothesis empirically, our study models the dynamic relationship between growth and economic institutions in a time varying framework in order to capture institutional developments and structural changes occurred in the economy of Pakistan over the years. Study articulates that, along with some customary specifics, the quality of government and democracy are the substantial factors that affect institutional quality and ultimately cause to promote growth in Pakistan. JEL Classification: O40; P16; C14; H10 Keywords: Economic Institutions, Growth, Governance and Democracy, Rolling Window Two-stage Least Squares, Pakistan

The Influence of Growth, Asset Tangibility, Cost of Debt, Profitability and Business Risk On Debt Capital

2019 ◽  
Vol 4 (4) ◽  
pp. 120-127
Author(s):  
Erika Jimena Arilyn ◽  
Beny Beny
Keyword(s):  
Firm Growth ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Jel Classification ◽  
Cost Of Debt ◽  
Market Condition ◽  
Business Risk ◽  
Debt Capital

Objective –The aims to identify the significant factors that influence a company’s decision to use debt capital. Methodology/Technique – This study uses 5 independent variables namely; firm growth (growth rate in total gross assets), asset tangibility (ratio of net fixed assets to total assets), cost of debt (interest before tax / long term debt), profitability (Earnings Before Interest and Taxes (EBIT) / Total Asset), and business risk (standard deviation of EBIT to total assets). The dependent variable in this study, debt capital, is measured by the ratio of long-term debt to total assets. A purposive sampling method is used to select 11 out of 18 textile and garment companies listed on the Indonesian Stock Exchange between 2014 and 2018 that report their annual financial positions. A quantitative method, panel data analysis technique and SPSS tools were also used in this study. Findings – The results show that debt capital is influenced by profitability, while the remaining factors do not influence debt capital. Novelty – This study adds to the existing literature on internal factors, market condition as an external factors, and debt capital in developed countries. The benefit of this study is to explore the potential capabilities of the industry in using its profit to minimize the use of debt as a source of capital to decrease business risk. Type of Paper: Empirical Keywords: Profitability; Growth; Cost of Debt; Business Risk; Tangibility; Capital Structure. Reference to this paper should be made as follows: Ariyln, E., J; Beny; 2019. The Influence of Growth, Asset Tangibility, Cost Of Debt, Profitability and Business Risk On Debt Capital, Acc. Fin. Review 4 (4): 120 – 127 https://doi.org/10.35609/afr.2019.4.4(4) JEL Classification: G23, G32.

scholarly journals Public reporting of performance measures in long-term care in Canada: does it make a difference?

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Poldrugovac ◽  
J E Amuah ◽  
H Wei-Randall ◽  
P Sidhom ◽  
K Morris ◽  
...  
Keyword(s):  
Performance Measures ◽  
Performance Indicators ◽  
Long Term Care ◽  
Public Reporting ◽  
Policy Implications ◽  
Term Care ◽  
Factors Affecting ◽  
Care Facilities ◽  
The Impact

Abstract Background Evidence of the impact of public reporting of healthcare performance on quality improvement is not yet sufficient to draw conclusions with certainty, despite the important policy implications. This study explored the impact of implementing public reporting of performance indicators of long-term care facilities in Canada. The objective was to analyse whether improvements can be observed in performance measures after publication. Methods We considered 16 performance indicators in long-term care in Canada, 8 of which are publicly reported at a facility level, while the other 8 are privately reported. We analysed data from the Continuing Care Reporting System managed by the Canadian Institute for Health Information and based on information collection with RAI-MDS 2.0 © between the fiscal years 2011 and 2018. A multilevel model was developed to analyse time trends, before and after publication, which started in 2015. The analysis was also stratified by key sample characteristics, such as the facilities' jurisdiction, size, urban or rural location and performance prior to publication. Results Data from 1087 long-term care facilities were included. Among the 8 publicly reported indicators, the trend in the period after publication did not change significantly in 5 cases, improved in 2 cases and worsened in 1 case. Among the 8 privately reported indicators, no change was observed in 7, and worsening in 1 indicator. The stratification of the data suggests that for those indicators that were already improving prior to public reporting, there was either no change in trend or there was a decrease in the rate of improvement after publication. For those indicators that showed a worsening trend prior to public reporting, the contrary was observed. Conclusions Our findings suggest public reporting of performance data can support change. The trends of performance indicators prior to publication appear to have an impact on whether further change will occur after publication. Key messages Public reporting is likely one of the factors affecting change in performance in long-term care facilities. Public reporting of performance measures in long-term care facilities may support improvements in particular in cases where improvement was not observed before publication.

scholarly journals Are Family Firms More Levered? An Analysis of Family and Non-Family Firms

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110223
Author(s):  
Jahanzaib Haider ◽  
Abdul Qayyum ◽  
Zalina Zainudin
Keyword(s):  
Family Firms ◽  
East Asian ◽  
Ordinary Least Squares ◽  
Maturity Structure ◽  
The Family ◽  
Asian Economies ◽  
The Board Of Directors ◽  
East Asian Economies ◽  
Combined Data

This study analyzes the leverage policies of the family and non-family firms of eight East Asian Economies (Hong Kong, Indonesia, Japan, Korea, Malaysia, Philippines, Singapore, and Taiwan) by using combined data of 690 family and non-family firms with 3,224 firm–years over the period 2006–2010. This study has used an ordinary least squares (OLS) regression for analyzing the data for the first question, while for the second question, logit regression has been used as the dependent variable (a binary variable). Prior research on family and non-family firms has revealed that family firms issue less (high) debt than non-family firms. Our analysis on a sample of East Asian Economies discloses that family firms have significantly different leverage levels than non-family firms, but their signs are not consistent. On the contrary, when the owner works as CEO/Chairman or member of the Board of Directors, then the family firms issue less debt than the non-family firms. Besides that, this study adds a new question that has not been addressed in the prior studies. The new question has focused on the speed of leverage adjustment. It is found that family firms and non-family firms regarding their debt maturity structure (short-term debt and long-term debt), the speed of leverage adjustments, and their decision to issue securities (i.e., debt vs. equity) are not significantly different. This study concluded that though family firms have a strong influence on each economy, but in South-East Asian countries, leverage policies of the family firms are not much different than that of non-family firms.

Reshaping the Economic Structure in Argentina: The Role of External Debt during the Macri Administration (2015–2019)

2021 ◽  
pp. 048661342097642
Author(s):  
Juan E. Santarcángelo ◽  
Juan Manuel Padín
Keyword(s):  
External Debt ◽  
Economic Structure ◽  
The United States ◽  
Jel Classification ◽  
Financial Capital ◽  
Economic Policies ◽  
Right Wing ◽  
Long Term Effects

Argentina’s right-wing shift in the 2015 presidential election concluded twelve years of center-left rule. The elected president, Mauricio Macri, claimed that the economy would experience normalization of existing imbalances and recover its strength in a “new political era.” However, the new administration quickly restored the dominance of neoliberal economic policies through a comprehensive set of initiatives, which centrally included the return to international financial debt and equity markets and submission to the International Monetary Fund’s (IMF) rules. This article analyzes Argentina’s external-debt-growth process and discusses its objectives and long-term effects. This paper posits that the indebtedness process carried out by the Macri administration—and its modality—not only increased the relevance of financial capital in the Argentine economy but also structurally conditioned any future nonorthodox alternative path of development. This outcome cannot be understood without taking into account the deliberate role of the United States, the IMF, and the top companies that operate in Argentina, as well as the complicity of many political sectors. JEL Classification: H63, F34, F63

scholarly journals Driving Mechanism of Farmers’ Utilization Behaviors of Straw Resources—An Empirical Study in Jilin Province, the Main Grain Producing Region in the Northeast Part of China

2021 ◽  
Vol 13 (5) ◽  
pp. 2506
Author(s):  
Hongpeng Guo ◽  
Shuang Xu ◽  
Xiaotong Wang ◽  
Wen Shu ◽  
Jia Chen ◽  
...  
Keyword(s):  
Structural Equation ◽  
Positive Impact ◽  
Agricultural Waste ◽  
Equation Model ◽  
Subjective Norms ◽  
Jilin Province ◽  
Policy Implications ◽  
Driving Mechanism ◽  
Perceived Behavior Control

In recent years, the unsustainable behaviors of straw utilization have led to waste straw being one of the sources of agricultural non-point source pollution. Studying the resource utilization of crop straw is conducive to expediate the development of ecological and green agriculture. More importantly, it has long-term significance for the recycling of agricultural waste, improving the quality of rural life, and the employment of farmers. Based on the theory of planned behavior (TPB), taking the representative survey questionnaire of farmers in Jilin Province, China as the sample, the structural equation model (SEM) was constructed to study the main factors that drive the utilization behaviors of straw resources of farmers and to explore the driving mechanism of the farmers behaviors in Jilin Province. The results show that the behavioral attitude and subjective norms of farmers in Jilin Province not only indirectly affect their actual behaviors through behavioral willingness, but also has significant direct effects on their behaviors. The most critical factors that affect the willingness of farmers to utilize the straw resources in Jilin Province are subjective norms and moral responsibilities. The subjective norms of farmers have a direct and significant positive impact on their willingness and behaviors. Behavioral attitude and perceived behavior control have a significant positive impact on their willingness. The behavioral willingness has a significant positive impact on their actual behaviors. This study provides guidance for the utilization of straw resources policy implications.

Firm Characteristics and Total Factor Productivity: Evidence from Indian Manufacturing Firms

2017 ◽  
Vol 11 (1) ◽  
pp. 77-98 ◽  
Author(s):  
Lopamudra D. Satpathy ◽  
Bani Chatterjee ◽  
Jitendra Mahakud
Keyword(s):  
Total Factor Productivity ◽  
Ordinary Least Squares ◽  
Jel Classification ◽  
Raw Material ◽  
Firm Characteristics ◽  
Manufacturing Companies ◽  
Factor Productivity ◽  
Size Of Firms ◽  
Specific Factors

Measurement of the productivity of firms is an important research issue in productivity literature. Over the years, various methods have been developed to measure firm productivity across the globe. But there is no unanimity on the use of methods, and research on the identification of factors which determine productivity has been neglected. In view of these gaps, this study aims to measure total factor productivity (TFP) and tries to identify firm-specific factors which determine productivity of Indian manufacturing companies. The study is based on data of 616 firms from 1998–99 to 2012–13. To measure TFP, the Levinsohn–Petrin (L-P) method has been employed, and the fully modified ordinary least squares (FMOLS) method has been used to identify factors that affect TFP. The results reveal that embodied and disembodied technology plays a crucial role in the determination of productivity overall in manufacturing and other sub-industries. Similarly, the size of firms and intensity of raw material imports are also important for the determination of productivity across the sub-industries. JEL Classification: C14, C33, D24, L60

Tourism Productivity Theory and Measurement for Policy Implications: The Case of Australia

2019 ◽  
Vol 59 (2) ◽  
pp. 247-266
Author(s):  
Tien Duc Pham
Keyword(s):  
Labor Productivity ◽  
Holistic Approach ◽  
Tourism Industry ◽  
Policy Implications ◽  
Policy Makers ◽  
Average Growth ◽  
Multifactor Productivity ◽  
Capital Productivity ◽  
Productivity Theory

Tourism productivity measures are quite diverse, not always compatible and usually based partly on labor productivity for hotels and restaurants. This article develops a holistic approach that integrates the principles of the growth accounting framework and tourism satellite account to measure multifactor productivity, labor productivity and capital productivity for the Australian tourism industry. This study shows that tourism has been identified as a reservoir for other industries through the ebbs and flows of labor demands. Compared with the rest of the economy, the average growth of labor productivity—that is, income per unit of labor—for tourism is stagnant, and has reached an unprecedented low, six times below the market sector average, mainly because of low multifactor productivity. The results are valuable for policy makers and the lobbying groups wanting to identify areas of need for policy changes to ensure the healthy long-term growth of tourism.

scholarly journals Monetary policy implications of short-term capital flows in Turkey

Empirica ◽  
2017 ◽  
Vol 45 (4) ◽  
pp. 747-763 ◽  
Author(s):  
Tolga Dağlaroğlu ◽  
Baki Demirel ◽  
Syed F. Mahmud
Keyword(s):  
Monetary Policy ◽  
Capital Flows ◽  
Policy Implications ◽  
Short Term
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