Ãîäèøåí àëìàíàõ "Íàó÷íè èçñëåäâàíèÿ íà äîêòîðàíòè"

Îùå ñòàòèè îò òîçè áðîé

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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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  ÏÎÄÕÎÄÈ ÇÀ ÓÏÐÀÂËÅÍÈÅ ÍÀ ÈÊÎÍÎÌÈ×ÅÑÊÈÒÅ ÊÐÈÇÈ Â ÕÎÒÅËÈÅÐÑÊÎÒÎ ÏÐÅÄÏÐÈßÒÈÅ

  Õîòåëèåðñêèÿò áèçíåñ å åäíà îò íàé-çàñåãíàòèòå îò èêîíîìè÷åñêèòå êðèçè èíäóñòðèè ïîðàäè âèñîêàòà çàâèñèìîñò îò ñâîáîäíîòî ïîòðåáèòåëñêî òúðñåíå è êàïèòàëîåìêèÿ õàðàêòåð íà äåéíîñòòà. Âúçñòàíîâÿâàíåòî íà òàçè äåéíîñò èçèñêâà ïðèëàãàíåòî íà öå-ëåíàñî÷åíè ñòðàòåãèè çà óïðàâëåíèå íà êðèçè, áàçèðàíè íà àíàëèç íà ïðåäõîäíè êðèçè, íàòðóïàí îïèò è ... Õîòåëèåðñêèÿò áèçíåñ å åäíà îò íàé-çàñåãíàòèòå îò èêîíîìè÷åñêèòå êðèçè èíäóñòðèè ïîðàäè âèñîêàòà çàâèñèìîñò îò ñâîáîäíîòî ïîòðåáèòåëñêî òúðñåíå è êàïèòàëîåìêèÿ õàðàêòåð íà äåéíîñòòà. Âúçñòàíîâÿâàíåòî íà òàçè äåéíîñò èçèñêâà ïðèëàãàíåòî íà öå-ëåíàñî÷åíè ñòðàòåãèè çà óïðàâëåíèå íà êðèçè, áàçèðàíè íà àíàëèç íà ïðåäõîäíè êðèçè, íàòðóïàí îïèò è ñïîñîáíîñò çà àäàïòèðàíå. Íàñòîÿùàòà ðàçðàáîòêà èìà çà öåë äà ðàçãëåäà ïîäõîäèòå çà óïðàâëåíèå íà èêîíîìè÷åñêèòå êðèçè â õîòåëèåðñêàòà èíäóñòðèÿ, êàòî ñå áàçèðà âúðõó àíàëèç íà òåîðåòè÷íî îáîñíîâàíè è ïðàêòè÷åñêè ïðèëîæèìè ïîäõîäè, ïðèëàãàíè ïî âðåìå íà êðèçèñíè ñèòóàöèè. Çà öåëòà ñå î÷åðòàâàò ôàêòîðèòå è åëåìåíòèòå íà èêîíîìè÷åñêàòà êðèçà, ïðåäëàãàò ñå ñòðàòåãèè çà óïðàâëåíèåòî é ÷ðåç îöåíêà íà ðèñêà è ñå ïðåäñòàâÿò ïîäõî-äè, áàçèðàíè âúðõó ìîäåëèòå çà óïðàâëåíèå íà ðèñêà, êîèòî áèõà èìàëè ïîëåçíà ïðàêòè÷åñêà ñòîéíîñò çà õîòåëèåðèòå è çà èêîíîìè÷åñêèòå ñóáåêòè â òóðèçìà.

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  ÓÏÐÀÂËÅÑÊÎ-ÀÄÌÈÍÈÑÒÐÀÒÈÂÍÈ ÀÑÏÅÊÒÈ ÍÀ ÏÐÈËÎÆÅÍÈÅÒÎ ÍÀ ÈÍÒÅÃÐÈÐÀÍÈÒÅ ÒÅÐÈÒÎÐÈÀËÍÈ ÈÍÂÅÑÒÈÖÈÈ

  Íàñòîÿùàòà ñòóäèÿ ïðåäñòàâÿ îñíîâíè òåîðåòè÷íè ïîñòàíîâêè îòíîñíî ñïåöèôèêèòå íà ïðèëàãàíå íà èíòåãðèðàíèòå òåðèòîðèàëíè èíâåñòèöèè (ÈÒÈ) êàòî èíñòðóìåíò íà ðåãèîíàëíàòà ïîëèòèêà. Òîé ñå âúçïðèåìà êàòî âúçìîæíîñò çà ðåøàâàíå íà ñëîæíè ïðîáëåìè íà ðåãèîíàëíîòî ðàçâèòèå, êîèòî èçëèçàò èçâúí òåðèòîðèàëíî-àäìèíèñòðàòèâíèòå ãðàíèöè íà îïðåäåëåíà ... Íàñòîÿùàòà ñòóäèÿ ïðåäñòàâÿ îñíîâíè òåîðåòè÷íè ïîñòàíîâêè îòíîñíî ñïåöèôèêèòå íà ïðèëàãàíå íà èíòåãðèðàíèòå òåðèòîðèàëíè èíâåñòèöèè (ÈÒÈ) êàòî èíñòðóìåíò íà ðåãèîíàëíàòà ïîëèòèêà. Òîé ñå âúçïðèåìà êàòî âúçìîæíîñò çà ðåøàâàíå íà ñëîæíè ïðîáëåìè íà ðåãèîíàëíîòî ðàçâèòèå, êîèòî èçëèçàò èçâúí òåðèòîðèàëíî-àäìèíèñòðàòèâíèòå ãðàíèöè íà îïðåäåëåíà òåðèòîðèÿ è êîèòî èçèñêâàò ó÷àñòèåòî íà øèðîê êðúã çàèíòåðåñîâàíè ñòðàíè. Ïðèëàãàíåòî íà èíñòðóìåíòà ñå áàçèðà íà ïàðò-íüîðñòâîòî ìåæäó ïóáëè÷íèòå âëàñòè è çàèíòåðåñîâàíèòå ñòðàíè, êîåòî å êëþ÷îâî çà ðåàëèçèðàíåòî íà óñïåøíè èíòåãðèðàíè ïðîåêòè. Ïðåäèìñòâàòà íà ïîäõîäà ñà áåçñïîðíè, íî ïîñòèãàíåòî íà óñòîé÷èâè ðåçóëòàòè èçèñêâà èçãðàæäàíå íà àäåêâàòåí óïðàâëåíñêî-àäìèíèñòðàòèâåí ìåõàíèçúì è êàïàöèòåò íà îòãîâîðíèòå îðãàíèçàöèè. Öåëòà íà íàñòîÿùîòî èçñëåäâàíå å äà î÷åðòàå ñïåöèôèêèòå íà ïðèëîæåíèåòî íà ïîäõîäà ÈÒÈ êàòî èíñòðóìåíò çà ïðîâåæäàíå íà ïîëèòèêàòà çà ðåãèîíàëíî ðàçâèòèå è äà ïðåäñòàâè íàãëàñèòå íà àíãàæèðàíèòå ñ ïðèëàãàíåòî ìó èíñòèòóöèè è îðãàíèçàöèè â Áúëãàðèÿ. Òåîðåòè÷íèÿò àíàëèç å ïîäêðåïåí ñ àíàëèç íà äàííè îò åìïèðè÷íî ïðîó÷âàíå ñðåä 103 àäìèíèñòðàöèè, êîéòî ïîêàçâà ñòåïåíòà íà ïîçíàâàíå íà ïîäõîäà ÈÒÈ.  òîçè êîíòåêñò ñà î÷åðòàíè òðè èçêëþ÷èòåëíî âàæíè àñïåêòà çà áúäåùà ðàáîòà ïî ïîäîáðÿâàíå íà öÿëîñòíèÿ ìåõàíèçúì ïî ïðèëàãàíå íà ÈÒÈ: ñòðàòåãè÷åñêè ïðîãðàìåí, èíñòèòóöèîíàëåí è êîìóíèêàöèîíåí.