نتایج جستجو برای: provinces and panel regressions
تعداد نتایج: 16840196 فیلتر نتایج به سال:
When analyzing panel data using regression models, it is often reasonable to allow for time-varying covariate effects. We propose a novel approach to modelling timevarying coefficients in panel data regressions, which is based on penalized regression techniques. To illustrate the usefulness of this approach, we revisit the well-known empirical puzzle of the ‘death of distance’ in international ...
Using a panel data set of 361 German corporations for the period 1991 to 1996 we test the hypothesis that firms with more efficient governance structures have higher profitabilities. To determine efficiency we compare firms with respect to ownership concentration, the identity of owners, capital structure, investment and firm growth by a multi-input/multi-output Data Envelopment Analysis (DEA)....
Abstract: The main objective of this paper is to estimate the tourism impact on the economic growth of Iranian provinces over the period of 2000-2010. For achieving this aim, the panel data approach has been used to the economic growth modeling. The empirical findings show that tourist receipts have a positive impact on the economic growth in Iranian provinces. It was found that a 10 per...
No consensus has been reached on the effectiveness of World Heritage Sites (WHSs) in attracting tourism. This paper analyzes impact WHSs tourist demand Spain at a disaggregated level for all Spanish provinces (NUTS-3 regions), based original panel data 50 2000–2019 period. The results show positive domestic and foreign tourism when considering together that first (designated 1980s) have greater...
The identification of the most important factors affecting energy intensity with the aim of controlling and managing energy consumption is an important topic. Findings of different empirical studies on the factors affecting energy intensity are inconsistent and this raises uncertainty about the employed models. One of the techniques that conform to these uncertainty conditions of the model is t...
This study aims to empirically test the Armey Curve hypothesis (optimal government size) for Turkey with panel data consisting of 81 provinces and 17 years. In this context, a quadratic model has been established in which economic growth is dependent variable, public expenditures are independent variable. AMG estimates obtain optimal size expenditures. The results indicate that level 25.2%. Mor...
The identification of the most important factors affecting energy intensity with the aim of controlling and managing energy consumption is an important topic. Findings of different empirical studies on the factors affecting energy intensity are inconsistent and this raises uncertainty about the employed models. One of the techniques that conform to these uncertainty conditions of the model is t...
China has frequently been questioned about the data transparency and accuracy of its energy and emission statistics. Satellite-derived remote sensing data potentially provide a useful tool to study the variation in carbon dioxide (CO2) mass over areas of the earth's surface. In this study, Greenhouse gases Observing SATellite (GOSAT) tropospheric CO2 concentration data and NCEP/NCAR reanalysis ...
This paper studies the impact of carbon trading policies on breakthrough low-carbon technological innovation through a difference-in-differences model based panel data 30 provinces in China. Through descriptive statistics, regression analysis, robustness test and heterogeneity analysis data, results show that: (1) policy has significant effect overall gradual innovation, lag can significantly p...
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