Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Salim Khan, Wang Yahong · 2021 · Frontiers in Environmental Science
Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO 2 e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO 2 e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear
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Vijay Gondaliya, Govind Dhinaiya · 2017 · Zenodo (CERN European Organization for Nuclear Research)
Every investor and investment planner talk about risk tolerance and what people think is appropriate because there’s so much more to risk tolerance than what you can capture. Defining and understanding risk are important challenges for…
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Almut Balleer · 2012 · Quantitative Economics
Can the standard search-and-matching labor market model replicate the business cycle fluctuations of the job finding rate and the unemployment rate? In the model, these fluctuations are driven by movements in productivity. This paper…
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Mehraj Ahmad Sheikh, Mushtaq Ahmad Malik, Rana Zehra Masood · 2020 · Asian Journal of Sustainability and Social Responsibility
Abstract Over the years, world market is integrating at much faster pace through increasing trade openness. Not being an unmixed blessing, consistent efforts have been made to examine impact of trade openness on economic, environmental and social welfare. This study is an attempt to empirically examine the implications of trade openness on sustainable development in India since liberalization policy 1991. We used the Autoregressive Distributed Lag (ARDL) model to test the relationship between sustainable development and trade openness along with other control variables that are supposed to aff
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Jorge Aníbal Restrepo Morales, Osmar Leandro Loaiza, Juan Gabriel Vanegas López · 2019 · Journal of Economics Finance and Administrative Science
Purpose This paper aims to study the influence of innovation on micro, small and medium-sized enterprises (MSME) performance in Colombia through the 403 MSMES survey analysis. In particular, this paper measures the effect of participation in R&D alliances, product innovation and process innovation on it. Design/methodology/approach MSME performance is measured through a composite index, estimated through principal components analysis using polychoric correlations, which is based on eight self-reported assessments of MSME performance. Then, this measure of performance is related to MSME par
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James Raftery, Hywel C Williams, Aileen Clarke et al. · 2020 · BMJ Open
OBJECTIVES: Randomised controlled trials in healthcare increasingly include economic evaluations. Some show small differences which are not statistically significant. Yet these sometimes come to paradoxical conclusions such as: 'the…
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Simplice Asongu, Samba Diop, Joseph Nnanna · 2020 · Journal of Public Affairs
This study has: (a) analysed the economic impact of the Covid‐19 pandemic, (b) evaluated the effectiveness and relevance of different measures against the pandemic and (c) examined nexuses between the corresponding measures and economic…
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H Neef, Steven R. G. Ongena, Gergana Tsonkova · 2026 · European Financial Management
ABSTRACT This paper studies the development of a firm's Environmental, Social, and Governance (ESG) performance following the issuance of “green loans” earmarked for green projects versus “sustainable loans” benchmarked by ESG criteria. Firms issuing green loans improve environmental performance, particularly by reducing emissions, but experience declines in social performance, suggesting a trade‐off between environmental and social objectives. In contrast, sustainable loans are associated with broader ESG improvements, enhancing environmental and governance outcomes without a comparable socia
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Inmaculada Martínez‐Zarzoso, Martina Vidovic, Anca M. Voicu · 2016 · The Journal of Environment & Development
The aim of this article is to investigate the relationship between environmental stringency and intra–European Union (EU) trade flows. Two main hypotheses are tested. First, we test whether the stringency of a country's environmental…
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Brahim Bergougui, Said Meziane · 2025 · Sustainability
Algeria’s resource-dependent economy faces significant challenges in balancing hydrocarbon reliance with environmental sustainability, yet existing research largely overlooks the comprehensive load capacity factor (LCF) metric in favor of traditional emissions analyses. This study examines the relationships between the LCF and key economic–environmental factors in Algeria from 1980 to 2023, including total natural resource rents, energy transition, technological innovation, GDP, primary energy consumption, and urbanization. Using ARDL and DARDL econometric approaches complemented by a kernel-b
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Ruhul Salim, Kamrul Hassan, Sanzidur Rahman · 2019 · Applied Economics
This study aims to investigate dynamic relationships between research and development (R&D) expenditure, climate change (measured by annual rainfall and temperature variations), human capital (proxied by literacy) and total factor…
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Ahmed Samour, Riza Radmehr, Ernest Baba Ali et al. · 2024 · Heliyon
Given the alarming level of climate change, policymakers across the globe are seeking strategies to mitigate environmental pollution to achieve sustainable development. In this context, renewable energy and technological advancements have…
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Oisín Ryan, Jonas M B Haslbeck, Lourens Waldorp · 2025 · Multivariate Behavioral Research
Time series analysis is increasingly popular across scientific domains. A key concept in time series analysis is stationarity, the stability of statistical properties of a time series. Understanding stationarity is crucial to addressing frequent issues in time series analysis such as the consequences of failing to model non-stationarity, how to determine the mechanisms generating non-stationarity, and consequently how to model those mechanisms (i.e., by differencing or detrending). However, many empirical researchers have a limited understanding of stationarity, which can lead to the use of in
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Nararuk Boonyanam · 2014 · International Journal of Financial Research
Monetary variables contain information to forecast stock price is still controversial. This paper examines the relationship between stock price and monetary variables in Thailand which is an Asian small open emerging economy. Monetary variables are consumer price index, nominal bilateral exchange rate in term of bath per US dollar, narrow money, and 14 days repurchased rate, employing a multivariate cointegration, VECM, variance decomposition and impulse response analysis covering the period of January 1999 to December 2012 with 168 observations. The study found a long run relationship between
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Mohsen Mehrara, H Abrishami, Mostafa Boroujli et al. · 2013 · International Letters of Social and Humanistic Sciences
This paper examines causal relationships between Government Recurrent Expenditure (GRE) and GDP for Iran using annual data over the period 1970-2010. The Gregory-Hansen (1996) cointegration technique, allowing for the presence of potential structural breaks in data, is applied to empirically examine the long-run co-movement between these variables. The results suggest that there is a long-run relationship between these variables. The Granger Causality test indicates strong unidirectional effects from GDP to GRE. But there is no evidence that TRE promotes long-term economic growth. Moreover, th
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Giovanna Morelli, Marco Mele · 2020 · International Journal of Energy Economics and Policy
This study will demonstrate, through an econometric approach, the relationship among per capita GDP, CO2 emissions, and energy use in Vietnam. Using annual data for years 1970-2014, stationarity, structural breaks, Toda-Yamamoto test, Johansen and Juselius approach, and Variance decomposition have been conducted. The causality results in our analysis highlight that the presence of unidirectional causality was running from economic growth to energy consumption. This result will be significant since it supports the conservation hypothesis for the economy of Vietnam. Finally, the results of the v
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Iacopo Morchio, Christian Moser · 2026 · American Economic Review
Using linked employer-employee data from Brazil, we document a significant gender pay gap, which is largely attributed to women working at lower-paying employers. To interpret this fact, we develop an equilibrium search model with…
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David H. Howard, Carolyn Kenline, Hillard M. Lazarus et al. · 2011 · Health Services Research
OBJECTIVE: In 1999, three randomized controlled trials concluded that high-dose chemotherapy followed by autologous hematopoietic stem cell transplantation (HDC/HCT) is no better than conventional chemotherapy for women with breast cancer.…
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L. A. Temitope · 2013 · Journal of Economics and Behavioral Studies
This paper adopts the Toda-Yamamoto technique of causality in order to examine the direction of causality between employment and economic growth. This is to investigate whether the increase in the Gross Domestic Product (GDP) translates into increased employment or not and vice versa, in South Africa, using quarterly data from 2000Q1 to 2012Q3. South Africa has been experiencing high and increased growth for the past decade, yet the rate of employment is not significantly high. Meanwhile, the objective of the government, since the first democratic election in 1994, was to increase economic gro
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Erich Hoppmann · 2026 · ORDO
Der Wirtschaftspolitische Ausschus des Deutschen Bundestages erklarte bei Erlas des Kartellgesetzes, er konne und wolle den Wettbewerbsbegriff nicht definieren, das sei eine Angelegen heit der zustandigen Fachdisziplin1. Diese Aufforderung…
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Jaehwan Park, Byungkwon Lim · 2018 · International Journal of Financial Studies
This paper explores the market efficiency of the six base metals traded on the LME (London Metal Exchange) using daily data from January 2000 to June 2016. The hypothesis that futures prices 3M (3-month) are unbiased predictors of spot prices (cash) in the LME is rejected based on the false premise that the financialization of commodities has been growing. For the robustness check, monthly data is analyzed using ordinary least squares (OLS) and GARCH (1,1) models. We reject the null hypothesis for all metals except for zinc.
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Sascha Otto · 2011 · International Journal of Economics and Finance
We analyze the speculative efficiency of the six base metals traded at the London Metal Exchange (LME) for the post-Tin Crisis period from 1991-2008. Especially the influence of different futures contracts on the one side and different underlyings on the other side provides economic insights for market participants like hedgers and speculators. We focus on the 3-month and 15-month futures contracts for all six base metals and conduct single-contract test for every base metal applying an ARMA process. This system is expanded to the multi-contract case, modeling the forecast error as an ARMAX pr
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Fumitaka Furuoka · 2016 · Applied Economics Letters
This article proposes a new unit root test to analyse unemployment hysteresis. The test is able to incorporate cross-sectional dependence, unattended nonlinearity and unknown structural breaks in the time-series data. This study used data…
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Laurent Cavenaile, Murat Alp Celik, Xu Tian · 2026 · The Review of Economic Studies
Abstract To study competition, innovation, and industry dynamics that arise as a result of their interaction, we develop a new oligopolistic general-equilibrium Schumpeterian growth model. This model ties together the endogenous growth,…
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Shaharudin Jakpar, Michael Tinggi, Akmal Hisham Tak et al. · 2018 · UNIMAS Review of Accounting and Finance
This study is conducted to analyse the credibility of the fundamental analysis and technical analysis on predicting the stock return and compare both models to determine which model is more credible to be used as a good trading strategy by…
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Irina Travkina, Manuela Tvaronavičienė · 2015 · Journal of Entrepreneurship and Sustainability Issues
The research paper discusses the relationship between international trade, especially export, and the economic growth, presented by GDP, in Lithuania over the period of 2000-2015 years. The analysis is started by the historical review of possible types of relationships between exports and economic growth. Furthermore, the paper presents four theoretical propositions as export-led growth (1), growth-driven export (2), a feedback relationship (3) and simple contemporaneous relationship (4). This study examines the importance of the export-led growth hypothesis for Lithuania. The testing is based
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Ihsen Abid · 2025 · Engineering Technology & Applied Science Research
Saudi Arabia, as one of the world’s leading oil producers, faces critical challenges in transitioning to sustainable economic growth. The heavy reliance on oil exports, coupled with rapid urbanization and environmental degradation, underscores the urgent need for green growth strategies tailored to the Kingdom’s unique socioeconomic and environmental context. This study aims to investigate the factors influencing the Green Growth Index (GGI), which measures sustainable economic growth, and analyze the short-term and long-term relationships between key variables such as environmental technology
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Klaus Grobys · 2021 · International Review of Financial Analysis
Recent research shows that the vast majority of scientific studies published in leading finance journals fails scientific replication (Hou, Xue, and Zhang, 2020; Harvey, Liu, and Zhu; 2016). This study argues that p-hacking, publication pressure and the selection bias from leading finance journals are perhaps not the underlying root cause for this issue. This study shows that standard methodologies often used in finance research are inevitably sample-specific due to the very nature of financial markets. While the consensus of earlier research postulates a rejection of the time-honored Levy hyp
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Gabriel Jiménez, DMITRY KUVSHINOV, José‐Luis Peydró et al. · 2026 · The Journal of Finance
ABSTRACT We show that a U‐shaped monetary rate path increases banking crisis risk, via credit and asset price cycles, analyzing 17 countries over 150 years. Rate hikes (raw or instrumented) increase crisis risk, but only if preceded by prolonged cuts. These patterns are unique to banking crises, unlike noncrisis recessions. Regarding the mechanism, prolonged cuts raise the likelihood of large credit and asset price booms, consistent with higher credit supply and risk‐taking. Subsequent hikes strongly reduce credit and asset prices, and increase banks' realized credit risk, rather than interest
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Tingting Bai, Dong Xu, Muhammad Ali Nasir · 2026 · Technological Forecasting and Social Change
With the accelerating growth of the digital economy, digital technology—as a type of general-purpose technology—creates a more inclusive and open environment for innovation, thereby facilitating the shift toward a low-carbon economy by promoting green innovation. However, we know little about whether there are differences in the roles of various types of green innovation. Therefore, this study evaluates the impact of DE on low-carbon development (LCD) through heterogeneous green innovation. The results show that DE has a significant nonlinear effect on LCD, with an initial suppressing effect t
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