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نویسندگان: 

Jamshidi Amin | Fereidooni Davood

اطلاعات دوره: 
  • سال: 

    1401
  • دوره: 

    15
  • شماره: 

    1
  • صفحات: 

    105-118
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    146
  • دانلود: 

    14
چکیده: 

Strength measurement of rock requires testing that must be carried out on test specimens with particular sizes in order to fulfill testing standards or suggested methods. Often, the coring process breaks up the weaker core pieces, and they are too small to be used in either index tests or conventional strength tests such as point load index (Is) and Brazilian tensile strength (BTS). One of the index tests to indirectly determine the rock strength is the block punch index (BPI) test, which requires flat disc specimens without special treatment. This study aimed to evaluate the applicability of the BPI test for predicting the uniaxial compressive strength (UCS), BTS and IS of the sandstones by empirical equations. Also, we have compared the performance of the BPI and IS for predicting the UCS and BTS. It was experimentally shown that BPI is a reliable method for predicting the UCS, BTS and Is of the sandstones under study. Moreover, the results indicate that BPI could be utilized with same importance as Is for predicting the UCS, while predicting the BTS by Is appears to be more reliable than BPI.

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اطلاعات دوره: 
  • سال: 

    1402
  • دوره: 

    13
  • شماره: 

    3
  • صفحات: 

    105-121
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    182
  • دانلود: 

    14
چکیده: 

A B S T R A C T Temperature is one of the climate elements that has fluctuated a lot over time. When these fluctuations increase and decrease more than normal and are placed in the upper and lower regions of the statistical distribution, if continued, it can lead to the creation of heating and cooling waves. The purpose of this study is to analyze the temporal and spatial changes in heating and cooling waves in Iran during a period of 50 years. For this purpose, the temperature of 663 synoptic stations from 1962 to 2004 was obtained from the Esfazari database. Then, in order to complete this database, the daily temperature from 2004 to 2011 was obtained from the Meteorological Organization of the country and added to the aforementioned database. In order to perform calculations and draw maps, Matlab, grads and Surfer software have been used. The results of this study showed that the index of cooling waves and heating waves, while having a direct effect on each other, had an increasing trend in most of the area of Iran. The statistical distribution of the index of cooling waves is more heterogeneous than that of the index of heating waves. So that the spatial variation coefficient for cold waves is 84.22%. Also, the index of cooling waves has more spatial variability. The highest common diffraction of the index of heating and cooling waves has been seen in the northwest, east and along the Zagros mountains. Analysis of the indexes trends show that heat waves have intensified in 65.8% of Iran and the intensity of cold waves has decreased in 48.5% of Iran Extended Abstract Introduction Temperature is one of the major climatic variables, which it has a direct impact on different aspects of human life. It plays an essential role in the growth of crops and is considered a key driver of the biological system(Reicosky et al, 1988). It is associated with several types of extremes, for example, heat and cold waves which caused human societies maximum damage. Past occurrences of heat waves hitherto had significant impacts on several aspects of society. Have increased Mortality and morbidity. Ecosystems can be affected, as well as increased pressure on infrastructures that support society, such as water, transportation, and energy(Dewce, 2016). The long-term change of extreme temperatures has a key role in climatic change. The form of statistical distribution and the variability of mean values and also extreme event indicate a change in the region. It can be a small relative change in the mean as a result of a large change in the probability of extreme occurrence. Also, the variation in temperature data variance is significantly more important than the mean, for assessing the extreme occurrence of climate(Toreti and Desiato, 2008). The average surface temperature has increased the world between 0.56 and 0.92 ° C over the past 100 years(IPCC, 2007). Meanwhile, it was in the Middle East, the average daily temperature increased by 0.4-0.5 ° C in decades(Kostopoulou et al, 2014; Tanarhte et al, 2012). Considering that not many studies have been done in the field of spatio-temporal Variations of the heating and cooling waves thresholds in Iran, in this study, the spatio-temporal Variations of the heating and cooling waves thresholds in Iran during 50 years were examined and analyzed.   Methodology The daily temperature from the beginning of the year 21/03/1967 to 19/05/2005 was obtained from the Esfazari database prepared by Dr. Masoudian at the University of Isfahan. In order to increase the time resolution of the mentioned database, the daily temperature of observations from 05/21/2005 to 05/12/2012 has been added to the mentioned database using the same method, and the exact spatial resolution (15 x 15 km) is used as a database. Threshold indices of heating waves are the average numbers between the 95th and 99th percentiles, that is, the extreme hot threshold to the limit of excessively extreme hot. For extreme cool, from the 5th percentile down to zero is used. Of course, a condition was added to these thresholds, which is that these thresholds must be repeated two days in a row. These thresholds were extracted for each day in the 50 years of the study period and used as the original database. In order to analyze the relationship between cooling and heating waves, Pearson's correlation coefficient was used and regression was used to analyze the trend.   Results and discussion The average of cold waves was 5.26 ° C and for the heat waves is 30.20° C. Generally, if the temperature is upper or lower than this threshold, it is considered as hot or cold temperatures. A comparison of the median, mode, and average of cold waves with heat waves shows that the distribution is more heterogeneous for cold waves and its CV is 84.22%. In southern Iran, the average threshold heat waves are higher. This situation can be caused by the effects of subtropical high-pressure radiation, low latitude, and proximity to the sea. Though the threshold is higher in these areas, fewer fluctuations and changes are seen in the area. Heights moderate the temperature so they pose a minimum threshold for heat waves i.e. an iso-threshold of 25 ° C is consistent along the Zagros mountain chains, but in the west and east of Zagros Mountains, the threshold of heat waves is increased. Heat waves have increased in most areas of the country. So nearly 85 percent of the Iran has been an increasing trend, of which 65.8 percent is statistically significant at the 95% confidence level. Still, more areas of the country (60 percent) have a trend between 0.00828 and 0.00161. As can be seen, only 15% of the land area (including the southwest and northwest of the Country) had decreased heat waves. Cold waves, in most parts of the country, have a Positive Trend. However, about 25 percent of the study area's cold waves have a negative trend. they are located in areas higher than Latitude 30°. The largest decline of the wave's trend along the country is highlands. Nowadays, most of the country, has a trend between 0.01494 and 0.00828 ° C, respectively. Conclusion Common changes and effects of heat and cold waves had a direct relationship in many parts of the country. It is remarkable common variance in the East reached 55 percent, according to statistical significance. In some areas of the northwest and southwest, which have been impressive heights, the common variance is 40 percent. This common variance in mountains area has been high values. Investigation of heat waves trend shows that 65.8% of Iran significant positive trend and 7.1% significant negative trend. Also, the cold waves trend has indicated a 48.5% significant positive trend and a 10.8% significant negative trend. Climate change and global warming have changed the frequency and severity of temperature extremes. The present study, by examining the number of warm waves, concluded that the warm waves have increased in magnitude in 65.8% of the Iran zone. Also, the study of the cold waves trend showed that 48.5 percent of Iran had a positive trend, which means that the amount of temperature in the cold waves increased In other words, the severity of the cold has been reduced And only 10.8 percent of Iran had a negative cold wave trend And it shows the intensity of these waves is reduced.   Funding There is no funding support.   Authors’ Contribution The authors contributed equally to the conceptualization and writing of the article. All of the authors approthe contenttent of the manuscript and agreed on all aspects of the work declaration of competing interest none.   Conflict of Interest The authors declared no conflict of interest.   Acknowledgments  We are grateful to all the scientific consultants of this paper.

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نویسندگان: 

Zoghi Mahmood | Amiri Mohammad Javad

اطلاعات دوره: 
  • سال: 

    1402
  • دوره: 

    11
  • شماره: 

    2
  • صفحات: 

    97-114
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    154
  • دانلود: 

    27
چکیده: 

ABSTRACT Today, climate change and its obvious negative effects on ecosystems have caused concern. This research seeks to test whether vegetation changes are sensitive to climate shocks and also how the ecosystem recovery process is through this index. In this regard, by using the GEE platform, Java coding, GIS and statistical analysis, vegetation and Palmer indices were calculated and based on time series climate data, vegetation and climate changes were presented. The results of Palmer's drought index show that during the statistical period (1985-2020) the study area is facing drought or is moving towards drought. Also, the results indicate the longest period of drought in the region from 2013 to 2020. Totaly from 420 evaluated months, the NDVI index is below the change threshold in 70 months. Among these, 31 months of the study period is below the acceptable threshold in green and non-reservoir seasons, which is ecologically worrying. The distribution of the vegetation index based on hexagons in 1985 and 2005 had a normal and almost normal distribution; But in 2020, the graph deviated from the normal state and skewed towards the vegetation cover index under stress or even thin covers. According to the analysis of the indicators, it is predicted that the Gorgan region is on the border of such ecological developments and the historical ecosystem of the region is moving towards new ecosystems or being in a new equilibrium state with climatic conditions and human disturbances Extended Abstract Introduction Today, climate change and its obvious negative effects on terrestrial ecosystems have caused great concern to humans. These changes are effective on vegetation performance, plant distribution patterns, and have economic and environmental consequences. Therefore, it is important to know the behavioral pattern of vegetation changes against climate changes. Reviewing the studies of scientists in the world shows many researchers have used the NDVI index to study temporal and spatial changes in vegetation and its relationship with the climatic index of precipitation in different parts of the world. Studies have shown that NDVI follows precipitation with different time scales. Surveys showed that there are very few studies on determining the threshold of changes in the vegetation cover index in the face of climate shocks. Determining these thresholds can provide a suitable solution for evaluating the state of the ecosystem, the consequences of climate shocks and the reversibility or disturbance in the ecosystem. This study was conducted with the aim of improving our understanding of the dynamics of vegetation in the forest city of Gorgan during 1985-2020 against climatic stresses.   Methodology The current research is a comparative and monitoring research and seeks to test whether changes in vegetation cover are sensitive to climate shocks and also how the ecosystem recovery process is through this index. To achieve the gole, first, NDVI index was selected among the optimal vegetation indices and its calculation process was done as a time series in the GEE system. In parallel with those climate shocks, the main elements including temperature, precipitation and storm were calculated during the historical process of 35 years and the average and standard deviation statistical indicators were calculated for them and the trend of changes in the thresholds was determined. The results of climate plots and climate changes show that in the years before 1985, 2005 and 2020, drastic changes have occurred in climatic elements and climatic factors. Therefore, these years can be considered as the periods when the climate shock happened.. Next, the region was divided into 436 hexagons and the NDVI index for each of the hexagons was calculated and modeled for the years 1985, 2005 and 2020 as selected years affected by climate shocks. In conclusion, to analyze the trend of changes in the time series of the vegetation index and compare the behavior of its changes with climatic indices, the Palmer index was calculated.   Results and discussion The results of climate change monitoring based on the Palmer index showed that during the statistical period the study area is facing drought in most years. The most severe climatic fluctuations and drought in the region were recorded in 2018 and in the months of October to December. The longest period of drought has also prevailed in the region from 2013 to 2020. During this period, rainfall, temperature and storm fluctuations have the most changes. The results of drought monitoring show that in 270 months, the region is facing climatic drought stress, 57 months of the study period, the region is facing severe and very severe drought stress. The results of the time series of the NDVI vegetation index showed that, out of the 420 evaluated months, 70 months of the year the NDVI index is below the change threshold, 31 of which are in the green and non-accumulating seasons, the seasons when the vegetation is expected to be at its maximum. Placing below the acceptable range means crossing the ecological thresholds and challenges the recovery and restoration of the ecosystem, also the ecological performance will be affected at this point. Based on the assessment of the Palmer index, from 2014 to 2019, the situation of the Palmer index is in the extreme drought range. Also, since 2015, i.e. with a one-year time delay, NDVI index has experienced the lower limit of the equilibrium threshold of vegetation cover. These conditions are also valid for the years 2008, 2009, 2002 and 1997. In general, it can be said that the vegetation cover index is dependent on climatic changes and fluctuations and shows high sensitivity to changes. The important point in this section is that in the years when the NDVI index changes are at the lower limit of the threshold, we witness the most climate shocks and temperature changes, the occurrence of severe storms and precipitation fluctuations. The distribution of the vegetation index based on hexagons in 1985 and 2005 have a normal distribution; but in 2020, the graph has deviated from the normal state and skewed towards the vegetation cover index under stress or even thin covers. The visual interpretation done on the vegetation cover index in 1985 confirms the condition of the vegetation cover in the southern and western limits of the region in a state with suitable dense and pasture vegetation and forest cover on the edges. However, in 2005 and 2020, this cover has been changed and mainly turned into agricultural land and poor rangeland. In such a way that in 2020, the situation of the region has revealed the critical state of vegetation. The vegetation cover index in the central areas of the city has also reached from a relatively favorable situation in 1985 to a critical situation with almost no dense and stress-free vegetation cover in 2020. The results of the present studies are consistent with the studies of Visentr Serrano et al. in 2013 and confirm the relationship between NDVI vegetation and climate change. In addition, the results of the studies are consistent with the studies of Alwesabi 2012, Xiai & Moody, 2005 and Yan et al. 2001. In such a way that the present study and the aforementioned studies all confirm the influence of the vegetation index on climate fluctuations and precipitation with a one-year time difference.       Conclusion In general, the threshold is defined as a border with different conditions. After crossing the thresholds, the stability and positioning of the NDVI in the equilibrium range is often difficult, and the ecosystem is constantly spending energy to restore itself or to position itself in a new stability state. The result of the mentioned disorders is the reduction of resilience and resistance in the region, which leads the ecosystem to alternative states or crossing the threshold or being in a new equilibrium state. The results showed that the areas where green vegetation is concentrated and denser are less affected by climatic stresses and show more resilience. However, the areas that have become spots and islands due to destruction in the urban areas are more affected by climatic stress and destruction and show less tolerance against the destruction factors. The results help managers to focus their management plans for the preservation and maintenance of urban green spaces as well as forest and pasture ecotones on the edge of the city by knowing the thresholds.   Funding There is no funding support.   Authors’ Contribution Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.   Conflict of Interest Authors declared no conflict of interest.   Acknowledgments  We are grateful to all the scientific consultants of this paper.

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اطلاعات دوره: 
  • سال: 

    1395
  • دوره: 

    8
  • شماره: 

    26
  • صفحات: 

    521-541
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    1723
  • دانلود: 

    427
چکیده: 

میان بسیاری از اقتصاددانان ایران این نگرش وجود دارد که تورم شاخص قیمت تولیدکننده پیشرانی برای تورم شاخص قیمت مصرف کننده است. طبق این دیدگاه، افزایش (کاهش) تورم شاخص قیمت تولیدکننده علامتی از افزایش (کاهش) تورم شاخص قیمت مصرف کننده در آینده خواهد بود. مقاله حاضر با به کارگیری اطلاعات زیراجزای شاخص قیمت تولیدکننده و مصرف کننده فرضیه فوق را آزمون می کند. اطلاعات مورد استفاده مربوط به 359 قلم کالای موجود در سبد مصرف کننده و 751 قلم کالای موجود در سبد تولیدکننده به پایه سال 1383 و در بازه زمانی 1383 تا 1392 می باشد. نتایج نشان می دهد که تورم شاخص قیمت تولیدکننده پیشرانی برای تورم شاخص قیمت مصرف کننده محسوب نمی شود اما با حذف اقلام مشترک میان شاخص قیمت مصرف کننده و تولیدکننده از لیست اقلام شاخص قیمت تولیدکننده، تورم شاخص قیمت بازسازی شده تولیدکننده هم در بلند مدت و هم در کوتاه مدت می تواند پیشرانی برای تورم شاخص قیمت مصرف کننده باشد.

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اطلاعات دوره: 
  • سال: 

    1387
  • دوره: 

    10
  • شماره: 

    35
  • صفحات: 

    141-158
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    1276
  • دانلود: 

    280
چکیده: 

در این پژوهش، با استفاده از روش خودرگرسیون برداری (VAR) به بررسی رابطه بین شاخص های قیمتی تولید کننده (PPI)، عمده فروشی(WPI)  و مصرف کننده(CPI)  می پردازیم. بدین منظور، 192 مشاهده ماهانه از 1، 1369 تا 12، 1384 این شاخص ها را جمع آوری و مورد بررسی قرار داده ایم. نتایج نشان می دهد که بروز تکانه در PPI باعث افزایش WPI وCPI  از همان آغاز وقوع تکانه می شود. این افزایش در هر دو شاخص بیش از یک سال ادامه می یابد؛ اما با گذشت زمان از بین می رود. وقوع تکانه در WPI باعث می شود که CPI از همان دوره اول با افزایش مواجه شود؛ اما، این تاثیر در کمتر از 6 ماه از بین می رود. همچنین،PPI  تغییرات CPI را به خوبی توضیح می دهد، اما قدرت کمتری در توضیح تغییرات WPI دارد. WPI نیز تغییرات CPI را به خوبی توضیح می دهد.

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نویسندگان: 

FAN C.S. | WEI X.

اطلاعات دوره: 
  • سال: 

    2006
  • دوره: 

    88
  • شماره: 

    4
  • صفحات: 

    682-697
تعامل: 
  • استنادات: 

    1
  • بازدید: 

    122
  • دانلود: 

    0
کلیدواژه: 
چکیده: 

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نشریه: 

پژوهنده

اطلاعات دوره: 
  • سال: 

    1387
  • دوره: 

    13
  • شماره: 

    4 (پی در پی 64)
  • صفحات: 

    363-368
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    1234
  • دانلود: 

    216
چکیده: 

سابقه و هدف: سیستم های رتبه بندی برای تصمیم گیری در مورد اولویت ها و ارزیابی عملکرد یک واحد مراقبت ویژه کودکان بسیار مفید هستند. از جمله سیستم هایی که می توان به آن اشاره کرد معیارهای PRISM - III و PIM هستند که امروزه در اکثر مراکز مراقبت های ویژه کودکان جهت ارزیابی کیفی و کمی عملکرد آن مرکز استفاده می شوند. هدف از این تحقیق تعیین پیش آگهی بیماران بستری در بخش مراقبت های ویژه کودکان بیمارستان مفید بر اساس سیستم های رتبه بندی PRISM-III و PIM و مقایسه این دو سیستم با هم است.مواد و روش ها: این مطالعه یک مطالعه توصیفی بود. نحوه نمونه گیری به روش سرشماری و بر روی 121 بیمار که از آذر 1384 تا اردیبهشت 1386 در واحد مراقبت های ویژه بیمارستان کودکان مفید بستری شده بودند، صورت گرفت. اطلاعات دموگرافیک و معیارهای ارزیابی سیستم های رتبه بندی PRISM و PIM در فرم های اطلاعاتی ثبت شد. پس از تکمیل فرم های اطلاعاتی، آنالیز آماری با استفاده از آزمون های Chi square، t-test،Regression  و ANOVA به وسیله نرم افزار SPSS صورت گرفت.یافته ها: 54% بیماران پسر و 46% دختر بودند و بیش ترین علت منجر به بستری در PICU دیسترس تنفسی و بیماری های مغزی بوده است. سپتی سمی به تنهایی بیش ترین علتی بود که منجر به مرگ و میر شــده بــود. در بین بیماران تحت مطالعه مرگ و میر واقعی 33% بود. متوسط امتیاز PRISM-III، 7.57 بود. سیستم PRISM از حساسیت 80% و ویژگی 75% جهت مشخص نمودن مرگ و میر برخوردار است. هم چنین بر طبق منحنی Roc مشخص شد که معیار PRISM از ارزش و قدرت زیادی در تعیین پیش آگهی بیماران بستری در بخش مراقبت های ویژه بیمارستان مفید برخوردار است و هر چه امتیاز بیماران در این سیستم افزایش یابد احتمال مرگ و میر نیز افزایش می یابد.نتیجه گیری: از این مطالعه نتیجه می گیریم که با استفاده از سیستم های رتبه بندی PRISM-III و PIM در روز اول بستری در بخش مراقبت های ویژه کودکان میتوان میزان مرگ و میر کودکان را پیش بینی نمود و با اصلاح و درمان به موقع فاکتور های موثر در این سیستم های رتبه بندی از عوارض مهلک پیشگیری نمود.

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بازدید 1234

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesدانلود 216 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesاستناد 0 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesمرجع 7
اطلاعات دوره: 
  • سال: 

    1392
  • دوره: 

    6
  • شماره: 

    4 (پیاپی 20)
  • صفحات: 

    111-128
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    948
  • دانلود: 

    219
چکیده: 

کمتر بودن موانع تجاری و غیرتجاری در بین مناطق یک کشور، امکان برقراری نظریه برابری قدرت خرید و قانون قیمت واحد را در داخل یک کشور مطرح می کند. البته، به دلیل شرایط جغرافیایی، اقتصادی و ... ممکن است قیمت ها تحت تاثیر شوک های محلی نیز قرار گیرند. لذا پرسش این است که آیا شاخص های قیمت در استان های کشور همگرا می باشند؟ در صورت وجود شوک های محلی، شاخص های قیمت استان ها با چه سرعتی به سمت روند مشترک تعدیل خواهند شد؟ این مقاله با به کارگیری آزمون های ریشه واحد پانلی و با استفاده از داده های ماهانه استان های کشور طی دوره زمانی 89-1381 به بررسی همگرایی شاخص قیمت مصرف کننده در ایران می پردازد. نتایج نشان می دهد که همگرایی شاخص های قیمت در استان های کشور به انتخاب استان پایه بستگی دارد و با پیدایش انحراف از قانون قیمت واحد در اثر یک شوک محلی، نیمه عمر همگرایی در حدود 1.5 سال خواهد بود.

شاخص‌های تعامل:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

بازدید 948

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesدانلود 219 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesاستناد 0 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesمرجع 6
نویسندگان: 

جعفری صمیمی احمد | علمی زهرا (میلا) | هادی زاده آرش

اطلاعات دوره: 
  • سال: 

    1386
  • دوره: 

    9
  • شماره: 

    32
  • صفحات: 

    31-53
تعامل: 
  • استنادات: 

    15
  • بازدید: 

    4551
  • دانلود: 

    1308
چکیده: 

هدف این مقاله، بررسی اثر برخی متغیرهای کلان اقتصادی بر تعیین رفتار شاخص قیمت مسکن در ایران است. در این راستا، از مدل اقتصاد کلانی استفاده شد که دارای پایه های اقتصاد خردی است و در آن از متغیرهای درآمد سرانه خانوار، شاخص قیمت سهام، شاخص قیمت خدمات ساختمانی، تعداد ساختمان های تکمیل شده، حجم پول و نرخ تورم، به عنوان متغیرهای توضیحی برای متغیر وابسته شاخص قیمت مسکن استفاده گردید. برآورد مدل با استفاده از داده های فصلی سال های 1384-1373 اقتصاد ایران و با به کارگیری مدل خود توضیحی با وقفه های گسترده انجام شد. همچنین به منظور بررسی سرعت تعدیل مدل پویا به مدل بلندمدت، الگوی تصحیح خطا نیز برآورد گردید. نتایج حاصل از تخمین بیانگر این واقعیت است که متغیرهای کلان اقتصادی از قدرت توضیح دهندگی خوبی برای تعیین رفتار شاخص قیمت مسکن در ایران برخوردارند. علاوه بر این، علامت ضرایب برآورد شده، مطابق انتظار تئوری است.

شاخص‌های تعامل:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

بازدید 4551

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesدانلود 1308 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesاستناد 15 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesمرجع 1
نویسندگان: 

TORNQVIST L.

اطلاعات دوره: 
  • سال: 

    1936
  • دوره: 

    10
  • شماره: 

    -
  • صفحات: 

    1-8
تعامل: 
  • استنادات: 

    3
  • بازدید: 

    251
  • دانلود: 

    0
کلیدواژه: 
چکیده: 

شاخص‌های تعامل:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

بازدید 251

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesدانلود 0 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesاستناد 3 مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resourcesمرجع 0
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