Ãîäèøåí àëìàíàõ "Íàó÷íè èçñëåäâàíèÿ íà äîêòîðàíòè"

Îùå ñòàòèè îò òîçè áðîé

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  ÒÅÌÀÒÈ×ÅÍ ÎÁÇÎÐ ÍÀ ÈÇÑËÅÄÂÀÍÈßÒÀ ÍÀ ÈÍÔËÀÖÈÎÍÍÈÒÅ ÏÐÎÖÅÑÈ Â ÁÚËÃÀÐÈß

  Ïóáëèêàöèÿòà å ïîñâåòåíà íà íàó÷íèòå èçñëåäâàíèÿ íà èíôëàöèîííèòå ïðîöåñè â Áúëãàðèÿ ñëåä 2000 ã. Ñëåä êðèòè÷åí àíàëèç íà ðåçóëòàòèòå íà òåîðåòè÷íèòå è åìïèðè÷íèòå èçñëåäâàíèÿ íà èíôëàöèÿòà è ñèñòåìàòèçèðàíå íà ðåçóëòàòèòå ñà èäåíòèôèöèðàíè òðè îñíîâíè íàïðàâëåíèÿ íà ïðîáëåìàòèêàòà, âñè÷êè â ìàêðîèêîíîìè÷åñêè ïëàí.  ïúðâîòî íàïðàâëåíèå ïîïàäàò ... Ïóáëèêàöèÿòà å ïîñâåòåíà íà íàó÷íèòå èçñëåäâàíèÿ íà èíôëàöèîííèòå ïðîöåñè â Áúëãàðèÿ ñëåä 2000 ã. Ñëåä êðèòè÷åí àíàëèç íà ðåçóëòàòèòå íà òåîðåòè÷íèòå è åìïèðè÷íèòå èçñëåäâàíèÿ íà èíôëàöèÿòà è ñèñòåìàòèçèðàíå íà ðåçóëòàòèòå ñà èäåíòèôèöèðàíè òðè îñíîâíè íàïðàâëåíèÿ íà ïðîáëåìàòèêàòà, âñè÷êè â ìàêðîèêîíîìè÷åñêè ïëàí.  ïúðâîòî íàïðàâëåíèå ïîïàäàò îïèñàòåëíè èçñëåäâàíèÿ íà öåíîâàòà ñòàáèëíîñò, äèíà-ìèêà è ñòðóêòóðà. Âòîðîòî íàïðàâëåíèå ñå ñúñðåäîòî÷àâà âúðõó ïîñëåäèöèòå îò èíôëàöèÿòà çà èêîíîìèêàòà è îáùåñòâîòî, íàé-÷åñòî íåãàòèâíè è ñâúðçàíè ñ ïîòèñêàíå íà èíâåñòèöèîííàòà àêòèâíîñò è èêîíîìè÷åñêîòî ðàçâèòèå, îáåçöåíêà íà äîõîäèòå è ñïåñòÿâàíèÿòà, ñïàä â æèçíåíîòî ðàâíèùå, âëîøàâàíå íà ôèíàíñîâîòî ñúñòîÿíèå íà ôèðìèòå è áþäæåòåí äåôèöèò. Òðåòîòî íàïðàâëåíèå ñå ôîêóñèðà âúðõó ôàêòîðèòå, îáóñëàâÿùè èíôëàöèîííèòå ïðîöåñè, êàòî ïðîèíôëàöèîííèòå ñà ñâúðçàíè ñ ïëàòåæíèòå äåôèöèòè, âúíøíî âëèÿíèå, íàðàñòâàíå íà ðàçõîäèòå çà òðóä è èêîíîìè÷åñêàòà íåñèãóðíîñò, à äåôëàöèîííèòå – ñ àäìèíèñòðàòèâíèòå ðåãóëàöèè, ñòàãíèðàùîòî ïîòðåáèòåëñêî òúðñåíå è ïàðè÷íàòà ïîëèòèêà íà öåíòðàëíàòà áàíêà.

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  LEVERAGING DIGITAL TWINS FOR ECOSYSTEM RESTORATION AND BIODIVERSITY CONSERVATION IN THE GREEN ECONOMY FRAMEWORK

  Digital twin (DT) technology is emerging as a pivotal tool for addressing critical environmental challenges, especially in the fields of ecosystem restoration and biodiversity conservation, within the broader framework of the green economy. Digital twins - sophisticated, data-driven virtual replicas of physical systems - offer a transformative ... Digital twin (DT) technology is emerging as a pivotal tool for addressing critical environmental challenges, especially in the fields of ecosystem restoration and biodiversity conservation, within the broader framework of the green economy. Digital twins - sophisticated, data-driven virtual replicas of physical systems - offer a transformative approach by enabling real-time monitoring, predictive modelling, and scenario-based planning. These capabilities allow for a nuanced understanding of complex ecological processes and the impacts of human activities on natural systems. The integration of DTs into ecological management introduces advanced tools for enhancing decision-making processes, improving predictive accuracy, and supporting sustainable practices that align with green economy objectives, such as carbon reduction, biodiversity protection, and efficient natural resource use. This paper employs qualitative methodologies to explore how DT technology can model species-specific behaviors and environmental conditions. This thesis focuses on integrating digital twin technology into environmental management practices, specifically for ecosystem restoration and biodiversity conservation. It explores how digital twins can model ecological changes, simulate the impact of various conservation strategies, and improve decision-making processes. Eventually, the paper examines how digital twin technology can be leveraged to support ecosystem restoration and biodiversity conservation while advancing a green economy. It also aims to demonstrate how this technology can help mitigate environmental costs associated with economic growth, in line with the principles of the Environmental Kuznets Curve (EKC), by enabling more informed and effective conservation strategies.

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  ÄÈÂÅÐÑÈÔÈÊÀÖÈß ÍÀ ÒÓÐÈÑÒÈ×ÅÑÊÈß ÏÐÎÄÓÊÒ ×ÐÅÇ ÎÐÃÀÍÈÇÈÐÀÍÈ ÑÚÁÈÒÈß

  Áúëãàðñêèÿò òóðèçúì ñå ñáëúñêâà ñ íàðàñòâàùàòà êîíêóðåíöèÿ ìåæäó äåñòèíàöèèòå, êîåòî íàëàãà íåîáõîäèìîñòòà îò òúðñåíå íà âúçìîæíîñòè çà äèâåðñèôèêàöèÿ íà òóðèñòè÷åñêèòå ïðîäóêòè.  íàñòîÿùàòà ðàçðàáîòêà äèâåðñèôèêàöèÿòà ÷ðåç îðãàíèçèðàíå íà ñúáèòèÿ å ïðåäëîæåíà êàòî ñòðàòåãè÷åñêè ìåòîä çà ïîâèøàâàíå êîíêóðåíòîñïîñîáíîñòòà íà òóðèñòè÷åñêèÿ ñåêòîð. ... Áúëãàðñêèÿò òóðèçúì ñå ñáëúñêâà ñ íàðàñòâàùàòà êîíêóðåíöèÿ ìåæäó äåñòèíàöèèòå, êîåòî íàëàãà íåîáõîäèìîñòòà îò òúðñåíå íà âúçìîæíîñòè çà äèâåðñèôèêàöèÿ íà òóðèñòè÷åñêèòå ïðîäóêòè.  íàñòîÿùàòà ðàçðàáîòêà äèâåðñèôèêàöèÿòà ÷ðåç îðãàíèçèðàíå íà ñúáèòèÿ å ïðåäëîæåíà êàòî ñòðàòåãè÷åñêè ìåòîä çà ïîâèøàâàíå êîíêóðåíòîñïîñîáíîñòòà íà òóðèñòè÷åñêèÿ ñåêòîð. Îñíîâíàòà öåë íà èçñëåäâàíåòî å äà ñå ïðåäñòàâÿò âèäîâåòå ñúáèòèÿ, êîèòî äîï-ðèíàñÿò çà äèâåðñèôèöèðàíå íà òóðèñòè÷åñêèÿ ïðîäóêò. Çà ïîñòèãàíå íà ïîñòàâåíàòà öåë ñå èçÿñíÿâà õàðàêòåðèñòèêèòå íà îðãàíèçèðàíèòå ñúáèòèÿ, î÷åðòàâàò ñå îñíîâíèòå âèäîâå ñúáèòèÿ, èìàùè îòíîøåíèå êúì äèâåðñèôèöèðàíåòî íà òóðèñòè÷åñêèÿ ïðîäóêò, èçÿñíÿâàò ñå îñîáåíîñòèòå èì è ñå ïðåäñòàâÿ ïîðòôîëèî ïîäõîä êàòî âúçìîæíîñò çà åôåêòèâíî óïðàâëåíèå íà äåñòèíàöèÿòà ÷ðåç äèâåðñèôèêàöèÿ.