Investment In Industry Research Articles

Clinicians' viewpoints on current paradigms of care and research in Parkinson's disease.

Aim of this review is to discuss the value of current ongoing research initiatives in Parkinson's disease from the clinicians' point of view. The repeat, recent failures on progress slowing reflect the drifting apart between initially promising experimental and then disappointing clinical outcomes in the translational trials with well selected Parkinson's disease patients. A similar development concerns the emerging gap between novel developed drugs with improved pharmacokinetic behaviour and their limited use in the clinical practice following approval. Restricted regional different worldwide availability and direct, respectively indirect budget limitations for neurologists in private practice are essential hurdles. They prevent the widespread prescription of these compounds. As a result return of investment for the pharmaceutical industry becomes more and more uncertain. The interest for research on novel treatment approaches for the amelioration of motor and non motor symptoms declines. Clinicians crucially scrutinize the claim for an optimum patient care by payers and regulators.

(Invited) Looking Beyond the Stack: A Systems Engineering Approach to Optimize Stack and System Design of Electrolysers

In the coming decade green hydrogen production is expected to grow at an unparalleled rate. Much of the international focus is currently on the Gigawatt scale plants, with regular announcement of new projects. From a European perspective, the rapid scale-up is necessary to reduce the reliance on fossil fuels and achieve CO₂ reduction targets. Importing green hydrogen or derivatives such as ammonia from regions where renewable electricity cost are low, is key driver for investments for the energy intensive industry, especially in the North Western part of Europe. This will require hydrogen production on a very large-scale. In contrast to the differentiation on application level, a one-size fits all approach for stack manufacturing appears to be attractive, with a high degree of standardisation and volume of production.However, as the case for the Netherlands illustrates, there are more drivers for green hydrogen production, such as addressing (regional) grid congestion, improving the business case for offshore wind farm developments, and providing green energy to small and medium enterprises. For all these use cases the requirements for the electrolyser system differ. Aspects such as the variability of the energy supply, capacity factors, logistics for operation and maintenance, available footprint, are application specific. Therefore, electrolyser system designs may need to be optimized for different markets and applications.At TNO we focus on the development, integration and validation of novel materials and innovative cell components for the different generations of electrolyser technology, both for low temperature (liquid alkaline, PEM, AEM) and high temperature electrolysers. To understand and assess the requirements for future generations of electrolyser technology, a systems engineering approach is developed together with the industrial partners. This allows to translate the requirements from the application, to the system and stack design, down to the requirements on a cell and component level.Results will be presented from several studies carried out by TNO and industrial partners in the field of low temperature electrolyser systems to understand: How to optimize a stack design for a specific application. Should an electrolyser be designed to maximize flexible operation and achieve a broad operating range? Or will a high efficiency be the most important target? And how application specific is such an optimisation.How to bring down the cost of the total system. What impact do the design choices for the electrolyser stack have on the complexity of the system around the electrolyser, the balance-of-plant? What can we learn from this for the future stack requirements?How different operating strategies impact a certain design. Which stack requirements change in large multi-stack systems powered by renewable electricity supply? Can different strategies improve overall system performance and bring down the overall cost of hydrogen production?How can the desired safety level be achieved against the lowest cost by optimizing component and stack design? As both the electrolyser technology and the value chains become more mature, a systems engineering approach will be indispensable, bringing together the requirements of the different levels: from application, electrolyser system and stack design, down to the performance of individual components.

The digital trade advantage: investigating the impact on global value chain positions in manufacturing and service industries

ABSTRACT This study investigates the impact of digital trade on global value chain (GVC) positions across industries and countries from 2007–2018. A newly developed digital trade level index measures various dimensions including digital infrastructure, industrial digital trade, e-commerce industrialization, and trade potential. Results show that digital trade significantly enhances GVC positioning, with trade potential having the strongest effect. The study also finds that digital trade drives GVC upgrading by optimizing industrial structures. Developed countries experience greater impacts of digital trade on GVC positions compared to developing nations, highlighting country heterogeneity. Industry differences are also observed, with medium-low tech manufacturing and transportation and warehousing services being most influenced by digital trade. The study uncovers industrial structure upgrading as a key mechanism through which digital trade improves GVC positions, though the industrial digital trade dimension somewhat impedes this effect. Based on these findings, the study provides policy insights for developing countries to harness digital trade for GVC upgrading, such as increasing investments in susceptible industries, fostering domestic and global digital ecosystems, promoting efficient resource allocation, and supporting digital integration in medium-low tech manufacturing.

Foreign Direct Investment and Technology Licensing in a Polluting Industry

We consider a firm’s incentive for foreign direct investment (FDI) and international technology licensing in a polluting industry. We explain the rationale and the welfare implications of complementarity between FDI and licensing, i.e., the firm’s strategy of “FDI and licensing” (FL), which is empirically relevant but ignored in the literature. When the environmental tax cannot be committed, the firm adopts the licensing strategy if the pollution intensity is not high, and the licensing strategy may create lower consumer surplus and welfare compared to both FDI and FL. However, if the pollution intensity is high, the firm undertakes FL, which provide higher consumer surplus and welfare compared to both licensing and FDI. When the government can commit to the environmental tax, the firm always prefers FL. The host-country welfare is higher but the consumer surplus and world welfare may be lower under the committed tax policy compared to the non-committed tax policy. These results hold under Cournot competition and Stackelberg competition. We further show that FL can be the equilibrium strategy of the foreign firm if there is fixed-fee licensing instead of a two-part tariff licensing, which is considered in the main analysis.

Forecasting the architecture billings index (ABI) using machine learning predictive models

PurposeThis research aims to forecast the ABI as a leading indicator of U.S. construction activities, applying multivariate machine learning predictive models over different horizons and utilizing the nonlinear and long-term dependencies between the ABI and macroeconomic and construction market variables. To assess the applicability of the machine learning models, six multivariate machine learning predictive models were developed considering the relationships between the ABI and other construction market and macroeconomic variables. The forecasting performances of the developed predictive models were evaluated in different forecasting scenarios, such as short-term, medium-term, and long-term horizons comparable to the actual timelines of construction projects.Design/methodology/approachThe architecture billings index (ABI) as a macroeconomic indicator is published monthly by the American Institute of Architects (AIA) to evaluate business conditions and track construction market movements. The current research developed multivariate machine learning models to forecast ABI data for different time horizons. Different macroeconomic and construction market variables, including Gross Domestic Product (GDP), Total Nonresidential Construction Spending, Project Inquiries, and Design Contracts data were considered for predicting future ABI values. The forecasting accuracies of the machine learning models were validated and compared using the short-term (one-year-ahead), medium-term (three-year-ahead), and long-term (five-year-ahead) ABI testing datasets.FindingsThe experimental results show that Long Short Term Memory (LSTM) provides the highest accuracy among the machine learning and traditional time-series forecasting models such as Vector Error Correction Model (VECM) or seasonal ARIMA in forecasting the ABIs over all the forecasting horizons. This is because of the strengths of LSTM for forecasting temporal time series by solving vanishing or exploding gradient problems and learning long-term dependencies in sequential ABI time series. The findings of this research highlight the applicability of machine learning predictive models for forecasting the ABI as a leading indicator of construction activities, business conditions, and market movements.Practical implicationsThe architecture, engineering, and construction (AEC) industry practitioners, investment groups, media outlets, and business leaders refer to ABI as a macroeconomic indicator to evaluate business conditions and track construction market movements. It is crucial to forecast the ABI accurately for strategic planning and preemptive risk management in fluctuating AEC business cycles. For example, cost estimators and engineers who forecast the ABI to predict future demand for architectural services and construction activities can prepare and price their bids more strategically to avoid a bid loss or profit loss.Originality/valueThe ABI data have been forecasted and modeled using linear time series models. However, linear time series models often fail to capture nonlinear patterns, interactions, and dependencies among variables, which can be handled by machine learning models in a more flexible manner. Despite the strength of machine learning models to capture nonlinear patterns and relationships between variables, the applicability and forecasting performance of multivariate machine learning models have not been investigated for ABI forecasting problems. This research first attempted to forecast ABI data for different time horizons using multivariate machine learning predictive models using different macroeconomic and construction market variables.

Impact of Stock Market Integration on Industrial Corporate Investment in Nigeria: An Empirical Study (1986-2023)

Nigeria, a sub-Saharan African nation, is endowed with an abundance of natural resources, particularly those needed for industrial purposes. Despite this, the present level of output in the industrial sector in Nigeria is too low, particularly when it comes to investment undertaking by corporate investors. Therefore, the study examined the effect of stock market integration on industrial corporate investment in Nigeria from 1986-2023. Data used were sourced from the Central bank of Nigeria Statistical Bulletin. The study used Augmented Dickey-Fuller (ADF), bound test and Autoregressive Distributed Lag. The ADF estimate indicated that money supply and all share index were integrated of order one; while, corporate investment, stock market integration, real exchange rate, and lending interest rate were integrated of order zero. The F-value for the bound test estimate was much higher than upper bound of critical value at 5% conventional level; therefore, suggesting a long-run link between the use variables. The short-run estimates showed that stock market integration, real exchange rate and all share index were significant with direct effect on corporate investment; while, money supply and lending interest rate were significant also with indirect effects. Furthermore, long-run estimate showed that money supply and all share index were significant with direct effect on corporate investment; while, real exchange rate and lending interest rate were significant with indirect effects. This suggests that stock market integration currently witnessing in Nigeria is tentative. The study concluded that the current growth witnessing by industrial corporate investment in Nigeria due to stock market integration is not sustainable. Therefore, recommended that the Nigerian Exchange Group’s management should ensure that stock market price exhibit low volatility rate by making sure that its stocks management policies reflect best global stock exchange practice.

Typology of Land Conflicts in Special Region of Yogyakarta

Abstract: This paper identifies various structural land conflicts in the Special Region of Yogyakarta in the last 20 years. Using a literature review method, the various conflicts that occurred can be categorized into several typologies, (1) the issue of the transfer of land status from private and communal (village land) to sultanate/pakualaman land; (2) land acquisition for national strategic projects that displace people's managed areas; (3) investment and development in urban areas that displace or reduce the quality of life of the community; (4) various transfers of land use in coastal areas by local governments and the private sector through extractive industry investment, tourism or conservation; (5) ethnic politicization in discriminative land policies. The reading of the various typologies of conflict is produced from three different perspectives, namely the 'agrarian citizenship' approach, 'human rights', and 'politics of access’. These three perspectives also serve as a proposed roadmap to get out of the conflict. Keywords: Land conflict, Roadmap of conflict resolution, Special region of Yogyakarta, Typology

Rethinking urban spatial planning and industrial development approaches in Ethiopia: bridging gaps for better outcomes

Urbanization is occurring at an unprecedented rate in developing countries like Ethiopia, especially with the rapid growth of industrialization. However, this urbanization and industrial development surge puts immense pressure on preparing and implementing city spatial plans. Urban spatial planning plays a crucial role in shaping the development of cities, aiming to create livable and sustainable urban development. The plan-making process and its subsequent implementation often encounter challenges that hinder the realization of planned objectives. Galan and Dukem, cities near Addis Ababa’s capital, have seen substantial industrial investment in recent decades. This article explores the challenges associated with urban spatial planning and industrial development while proposing alternative approaches. The paper relies on information gathered from primary and secondary sources, including expert surveys and key informants’ interviews. The research highlights that industrial developments have led to significant and uncontrolled changes in urban land use and urbanization in the study areas. Due to the lack of clear planning guidelines and institutional capacity, the study cities are experiencing haphazard development without effective urban spatial plans. Proximity to Addis Ababa has driven the urbanization process through increased investments. The article contends that effective management of urbanization and industrialization can create enjoyable living conditions and foster job growth. Macroeconomic policies, including industrial policies, should pay attention to spatial elements and prevent policy-making processes that are “space-blind”. This, however, requires clairvoyance and a high level of expertise, integrating inputs from advocacy planning and community participation to bridge gaps and ensure effective urban spatial plans and industrialization processes.

Institutional peculiarities of the functioning of the economy of Ukraine in the conditions of martial law

The paper shows that the peculiarities of the state of war force the state to reorient its resources and attention to solving critical tasks related to ensuring national security and overcoming the consequences of war. As a result, the priorities of formation, redistribution and use of resources change, which affects the socio-economic model of the state. However, the limiting conditions for adjusting the model of the national economy in the conditions of war are: preserving its economic potential and maintaining viability, which will ensure the future development of the country and its post-war recovery. It is shown that since the beginning of the full-scale invasion of the Russian Federation into Ukraine, the share of the military-industrial complex and related industries in the overall structure of the economy has increased. These changes caused significant difficulties for the economy of Ukraine, but also opened up new opportunities for adaptation and development in crisis conditions. Increasing investment in the military industry, developing new logistics routes and diversifying the economy can become part of the country's recovery and development strategies after the war. It has been proven that positive changes in regulatory and legal support, aimed at facilitating business conditions, are necessary, but not sufficient. In order to solve the fundamental problems of the loss of sales markets and opportunities for continued economic activity, strategic measures are needed, including the restoration of infrastructure, support for exporters, stimulation of business relocation and support of labor resources. It is substantiated that the institutional features of the functioning of the economy of Ukraine under martial law are related to the formation of a hybrid model, which is a synthesis of two models, namely: the model of the military economy, designed to meet military needs and vital goods and services, as well as the model of the civilian economy, designed to meet the needs of the population. A comprehensive solution to the outlined problems requires coordination of the efforts of the government, business and international partners to ensure the stability and development of Ukraine's economy in the conditions of the war and after its end, as well as to ensure its sustainable development in the future.

THE EVOLUTION OF CZECHIA’S SECURITY POLICY UNDER THE INFLUENCE OF THE RUSSIA-UKRAINE WAR

For now, almost all spheres of international life are in the process of transformation. A particularly high level of turbulence characterizes European security, which has faced numerous challenges over the past decade such as the migration crisis, terrorist acts, the COVID-19 pandemic, information threats, etc. Directly threatening the European Union’s eastern borders, Russia’s full-scale invasion has become one of the most crucial security challenges. In this regard, the EU and NATO member states have to review their approaches to ensuring security and stability. Due to Czechia’s membership in both of these blocs and its geographical proximity to a war zone, its security policy has undertaken changes at the current stage, which this article covered.This article defines the reasons for the evolution of the security policy of the Czech Republic. It is worth noting that due to its geographic proximity to the war zone, Czechia perceives Russia’s aggression as a direct threat to its national security. Apart from Russia’s full-scale invasion of Ukraine, the assessment of Russia’s perception of the country is influenced by the Russian military intelligence services’ involvement in the explosions at Czech weapons warehouses in 2014 and Russia’s espionage activities as well. Thus, the increasing regional tensions and the political crisis in international relations prompted the Czech Republic to revise its key security and defense files, according to which Russia and China have been defined as the main security threats.Moreover, the author concludes that support for Ukraine became part of Czechia’s security policy, where the country demonstrated its clear position and declared its intention to sign a security agreement with Ukraine. Also, it is necessary to commend the importance of Czechia’s artillery shells initiative to Ukraine. The Czech Republic has taken several practical steps to respond to security threats increasing its defense spending to 2% of GDP and investments in the defense industry, along with modernizing the military forces and diversifying energy resources in order to get rid of Russia’s dependence. Accordingly, a comprehensive approach to reacting to new security challenges and threats can minimize their impact on Czechia’s security in the future.

FDI REFORMS AND INDUSTRIAL WAGE AFTER THE LAUNCH OF “MAKE IN INDIA”: EMPIRICAL EVIDENCE

India gradually started liberalizing its industrial, trade and foreign direct investment (FDI) related policies since the launch of economic reforms in 1991. The empirical evidence on the impact of FDI spillovers on industrial wages in India has generated mixed results so far. The current study analysed the impact of FDI inflows on the real wage rates of the workers using data from seven major industrial sectors between 2001–2002 to 2019–2020. The two-stage least squares (2SLS) estimation results suggest that FDI inflows positively influenced both the skilled and unskilled wage rates. Moreover, FDI inflows in productive sectors led to a greater rise in wages vis-à-vis the unproductive sectors. In addition, key government policy initiatives like the Make-in-India (MII) scheme and FDI reforms were found to be effectively enhancing wage rates, though the impact on skilled wage rates was greater. The paper stressed the need to create a holistic environment that can attract FDI in both upstream and downstream segments, facilitating India’s deeper participation in global value chains (GVCs) and IPNs on the one hand and realisation of associated dynamic benefits on the other.

Identification of challenges to Industry 5.0 adoption in Indian manufacturing firms: an emerging economy perspective

ABSTRACT This study aims to identify a comprehensive list of challenges and empirically evaluate their impact on Industry 5.0 adoption, particularly in developing countries in Indian manufacturing firms. Challenges were classified into four significant categories: human, environmental, legal and ethical, and financial through an extensive literature review conducted and experts’ inputs. Multi-criteria decision-making (MCDM) is a method for analyzing complex issues by assessing multiple alternatives based on specific criteria. The analytic hierarchy Process (AHP) aids in selecting suitable options, while the analytical network processes (ANP) technique determines relevant criteria. A sensitivity analysis was carried out to validate the research findings. The most preeminent challenges were identified as human critical thinking, human-machine teams, incorporation of ethics, investment in Industry 5.0 technologies, human well-being perspective, over-dependency on technology, and personalization and hyper-customization 5.0, respectively, in the adoption of Industry 5.0. The comprehensive challenges proposed in the study will assist decision-makers, practitioners, and managers in determining fair benchmarking strategies to precipitate Industry 5.0. This research helps to gauge manufacturing firms’ readiness index to adopt Industry 5.0, provides a distinct perspective, and foregrounds the significance of research to assist the industry in its long-term to anticipate Production 6.0.

Inviting foreign direct investment for sports development projects in relation to economic development and development challenges

The present study aimed to investigate attracting foreign direct investment for sports development projects in relation to economic developments and challenges. The researchers utilized a descriptive approach, using a questionnaire, due to its appropriateness for the nature of the research. A total of 300 workers from the General Office of the Ministry of Youth and Sports participated in this study. They were selected using a stratified purposeful sampling method from the following categories: undersecretaries, general directors, department directors, department heads, and administrators. The findings of this study showed support for foreign trade exchanges through investment in export industries, especially in contexts where the host country has an advantage over the country of origin and where banking facilities are available in commercial banks. Additionally, it was demonstrated that lower risk and higher returns lead to an influx of investments. Consequently, this increases capital formation, particularly by reducing the state's dependence on external debt and decreasing the volume of foreign aid.

Exploring the Potential of the Blue Economy: A Systematic Review of Strategies for Enhancing International Business in Bangladesh in the context of Indo-Pacific Region

This systematic review aims to provide a methodical analysis of the Blue Economy in the Indo-Pacific region, particularly from the perspective of Bangladesh, focusing on its growth trajectory, key stakeholders, policy frameworks, technological advancements, trade and investment trends, as well as challenges and opportunities for international business expansion. The methods employed a comprehensive search of electronic databases, and inclusion and exclusion criteria were applied to identify relevant studies for analysis. The results revealed that from 2000 to 2020, the Blue Economy sectors of the country, such as fisheries, aquaculture, maritime transportation, and tourism, saw notable development. International development agencies, corporations, academic institutions, governments, and civil society organizations are some of the major players in Blue Economy projects. The policy frameworks that facilitate the development of the Blue Economy include integrated ocean management, blue growth initiatives, maritime security and governance, and resilience and adaptation to climate change. Innovation and expansion in the Blue Economy sectors have been fueled by technological breakthroughs, such as autonomous underwater vehicles, renewable energy projects, remote sensing technologies, and marine biotechnology. Rising demand for sustainable goods and services, technical advancement, and regional collaboration have all contributed to an increase in trade and investment in Blue Economy industries internationally. The study concludes that there is significant potential for the Blue Economy in the Indo-Pacific region to drive economic growth, promote social progress, and ensure environmental sustainability. However, challenges such as regulatory complexity, access to finance, inadequate infrastructure, and environmental degradation need to be addressed to fully realize this potential. Addressing these challenges requires coordinated efforts from governments, businesses, academia, civil society organizations, and international development agencies, along with a focus on sustainable and inclusive development practices.

Comprehensive Analysis of Global Industrial Investment Funds: Risk Adjusted Performance Evaluation Based on Statistical Tools 2017-2021

Comprehensive Analysis of Global Industrial Investment Funds: Risk Adjusted Performance Evaluation Based on Statistical Tools 2017-2021

Analysis of Investment Value of Beverage Industry Enterprises: Evidence from Coca-Cola Company

Financial indicators and operational efficiency are crucial for the long-term development of enterprises. This article takes Coca-Cola Company as an example to conduct a detailed analysis of the investment value of the enterprise from various aspects such as current financial performance, operational efficiency, and competitive landscape. Explore the future development trends of Coca-Cola Company by reviewing and reviewing its financial statements, operational indicators, competitive positioning, and economic factors that influence the company. Research data shows that although Coca-Cola has maintained profitability, its operating profit margin has slightly declined in the past few years. By doing so, it is more profitable in certain aspects than competitors such as Pepsi and Monster Beverages. The organization faces obstacles to constantly changing consumer choices through healthier choices and supply chain/geopolitical chaos. This may require Coca Cola to diversify its product portfolio and supply chain to maintain expected profits. This study has important practical significance for investors in the beverage industry and researchers interested in this topic.

The differential impact of IT investments in the long term: a long-horizon event study

PurposeThis research investigates the differential impact of information technology (IT) investments based on their features, such as investment in data management capability, security improvement, IT outsourcing or new IT infrastructure. The Long-Horizon Event Study (LHES) is essential for providing a more appropriate measure of the value of IT investments because firms' strategic decisions often set long-horizon and large-scale organizational goals, and there is inherent uncertainty regarding future cash flows resulting from these investments. Therefore, the authors aim to analyze how announcements of IT investments affect the firm's abnormal stock returns over the long term and to compare the differential impact of different features of IT investment.Design/methodology/approachThe authors gathered IT investment announcements and stock data of listed firms in Korea between 2000 and 2018, and the monthly stock market returns over the 5 years after the announcements. To measure the differential impact of IT investments based on the investment features, the authors separate announcements data into five groups. A LHES is used to estimate the long-term effects of IT investment announcements.FindingsThe results indicate that announcements of IT investments had a long-term positive effect on firm performance. Additionally, the findings reveal differential effects of IT investments across industries and investment features. Notably, news of self-developed IT investments and IT investments in the manufacturing industry had significantly positive effects. However, contrary to common belief, announcements of investments in so-called essential IT areas such as data, security, or new IT infrastructure did not yield significant effects.Originality/valueAlthough the need for LHES has been emphasized in information systems research, few follow-up studies have been conducted since Barua and Mani (2018). This is primarily due to the challenges associated with collecting large-scale abnormal stock returns data over a long horizon. This research represents the first LHES to investigate the differential impact of IT investments based on their features. By doing so, this study can provide valuable insights for decision-makers within firms, helping them understand the time horizon of market outcomes of IT investments based on their features. Furthermore, this work extends the scope of LHES to comprehend the differential impacts of investment features. For instance, managers need to grasp that so-called essential IT investments, such as data management, security enhancements or new IT infrastructure, may not necessarily generate long-term market value.

The impact of China’s direct investment on energy industry development in Kazakhstan

The purpose of the research is to study the impact of China’s direct investment on Kazakhstan's Energy industry, it enables them to fi gure out what type of Energy sources need more investment, and the demand level on the Energy services, which require for investigating the feasibility behind investing in Energy industry in Kazakhstan. Research methodology - a regression model of the impact of China’s direct investment on Kazakhstan's Energy industry is established to study the impact of Chinese direct investment on Kazakhstan's Energy industry from four variables: net foreign direct investment in Kazakhstan, Kazakhstan's GDP, China's direct investment in Kazakhstan, and China's direct investment in Kazakhstan's Energy industry. Original / value of the research – China's direct investment in Kazakhstan's Energy industry, compared with other factors, can have a more important impact on Kazakhstan's Energy industry, so Kazakhstan can through cooperation with foreign capital, especially China’s capital, the establishment of joint ventures, to improve the current situation in Kazakhstan's Energy industry bad development. Findings. The results show that the impact of net FDI in Kazakhstan, Kazakhstan's GDP, China's direct investment in Kazakhstan, and China's direct investment in Kazakhstan's Energy industry on Kazakhstan's Energy development is signifi cant and positively related.

Investments in the infrastructure of Russia and its regions

Subject. This article discusses the issues of development of infrastructure of all types and the implementation of targeted investment projects. Objectives. The article aims to analyze the importance of investments in the development of regional infrastructure, using the construction industry as a case study. Methods. For the study, we used a statistical analysis. Results. Based on structural-and-dynamic and factor analyses of investments in the construction industry, the article presents various scenarios for the development of the construction industry. Conclusions. Sustainable development of the economy is impossible without capital accumulation and investment in infrastructure projects.

Analysis of the Contribution of the Processing Industry Sector in Efforts to Reduce Poverty in North Sumatra Province

This study aims to analyze the contribution of the processing industry to efforts to reduce poverty in North Sumatra Province, analyze the influence of the number of industries, investment, exports on industrial GDP and the number of population, unemployment on the poverty rate. This study uses secondary data in the form of time series data, 2009-2023, namely data on the number of industries, PMDN investment in the processing industry, Industrial Exports, the number of population, unemployment, Industrial GDP, and poverty in North Sumatra province. The analysis method used is simultaneous regression. The results of the study show that the influence of the number of industries has an impact on the increase in industrial GDP, and the number of population also has an impact on the increase in poverty, then the industrial GDP does not have a significant impact on poverty in North Sumatra Province.