Industrial Production Index Research Articles

ИССЛЕДОВАНИЕ ДИНАМИКИ ПРОИЗВОДСТВА ПРОМЫШЛЕННОЙ ПРОДУКЦИИ ДВОЙНОГО НАЗНАЧЕНИЯ НА МЕЖДУНАРОДНЫХ РЫНКАХ В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ ЭКОНОМИКИ

The purpose of this study is to conduct a comparative analysis of the production of dual-use products in Russia and the EU countries, using the industrial production index as an indicator. The research methodology includes a systematic review, starting with a general assessment of the situation in the countries under consideration and moving on to an analysis of dynamics in industrial sectors. Particular attention is paid to the volume of the industrial production index, emphasizing the importance of the production of dual-use products, pricing features and its impact on the overall index. The result of this study allows us to conclude that the volumes and growth rates of manufacturing dual-use products in Russia show positive dynamics. However, to further increase these volumes, the possibility of diversifying the structure of industrial production should be considered. This conclusion emphasizes the need for a more in-depth analysis of the factors influencing the structure and efficiency of industrial production.

Study of impact of COVID-19 on industrial production indices using singular spectrum analysis

Study of impact of COVID-19 on industrial production indices using singular spectrum analysis

Assessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector: A Multivariate Time Series Analysis

The Coronavirus Disease 2019 (COVID-19) pandemic has had a severe impact on the global economy, and Latin America and the Caribbean were no exceptions. Colombia faced unprecedented economic and public health crises, leading to a significant reduction in its gross domestic product (GDP) and exportation rate of goods and services. In this study, we explore the pandemic's effect on the Colombian industrial sector using official data and statistics. We analyze the monthly Industrial Production Index (IPI) measurements taken by the Colombian National Administrative Department of Statistics (DANE, for its Spanish acronym) for 22 national industrial subsectors between January 2005 and December 2021. We apply multivariate statistics and time series techniques to compare forecasts with actual responses of the most affected subsectors after the COVID-19 outbreak. Our findings suggest that the Colombian industrial sector was not well-prepared to face the pandemic, leading to a significant financial loss. We also observe that the developing countries' industrial sectors, like Colombia's, are highly exposed and vulnerable. This information can help policymakers in Colombia to better understand the weaknesses of the industrial sector and develop strategies to mitigate the impact of future crises.

Persistence and Seasonality in the US Industrial Production Index

Persistence and Seasonality in the US Industrial Production Index

Monetary Policy Transmission in Pakistan: Role of Islamic Banking in Enhancing Policy Objectives and Supporting Growth

This study investigates the role of Islamic banking in enhancing policy objectives and supporting growth in Pakistan. This research aims to explain how the real economy of Pakistan has been influenced by the Islamic financial system, particularly in channelizing monetary policy tools. The secondary data within the period of 2007 – 2020 is used to answer the research question. Industrial Production Index has taken as a dependent variable, while Islamic Financing, Islamic Deposits, and Overnight Repo as taken as independent variables. Following the prior research co-integration test, impulse response functions and variance decomposition analysis have been used, by using Eviews 10. The study has found a positive impact of Islamic banking on economic output and there is a significant positive impact of monetary policy decisions on economic output and there is an insignificant impact of financial crisis and COVID 19 in long run. It has mainly 03 implications are: Impact on real economy, Role in promoting financial stability, and different monetary policy instruments. The proposed model may offer some insights to policy makers if it is examined empirically.

Methodology of optimal classification of regions by the level of industry development

The article describes the methodology of classification of multidimensional observations, according to which, in theory, development indices of regional industrial production were developed. According to this index, conditional regions are divided into lower, middle and upper classes. In the study, the development tendencies of the regions classified by the development index into stratified groups were also determined. At the end of the article, the theoretical and empirical conclusions obtained as a result of the research are presented.

Влияние промышленного производства на экологический профиль регионов

Under conditions of increasing economic uncertainty and instability, the study of the impact of industrial production on ecological situation in the regions of the Russian Federation is of great importance. The article is devoted to assessment of the impact of industrial production on the environmental profile of the regions of the Ural economic region of the Russian Federation. The review of scientific works of the researchers specializing in the fields of regional economic development, socio-economic and environmental sustainability of the regions, ecologization of industrial production and environmental safety is conducted. Main environmental risks and threats at the regional level, as well as measures aimed at their elimination and neutralization are considered. To assess the impact of industrial production on ecological situation in the region the author's methodology was developed, including selection of indicators of anthropogenic impact on the environment, characterizing the ecological profile of the region in the aggregate, calculation of integral index of ecological profile of the region and the r-Pearson correlation factor to assess the strength and direction of the relationship of the index of industrial production and integral index of ecological profile of the region. The proposed methodological approach was tested on the example of the regions of the Ural economic area in the dynamics for the period 2016-2020. The obtained data allow assessing the level of anthropogenic impact on the environment, under conditions of production intensification and implementation of green and digital economy technologies and determine the effectiveness of ongoing transformations from the perspective of correlated dependencies. The methodology can be useful in assessing the inter-level interaction between regional authorities and business community in terms of implementing measures to intensify production for import substitution with simultaneous greening of industrial production in order to reduce the anthropogenic load on the environment in the regions.

Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm

Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm

Dynamic Coupling of the U.S. and Canadian Industrial Production Indices

Dynamic Coupling of the U.S. and Canadian Industrial Production Indices

Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm

Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm

Analytical Sustainability In Public Balances And The Industrial Production Index Relationship: The Case Of Turkey

Analytical Sustainability In Public Balances And The Industrial Production Index Relationship: The Case Of Turkey

Real Sector Growth owed to Islamic Finance

Islamic finance is growing rapidly not only in Islamic world but also around the globe. Foreseeing the popularity of Islamic finance, the current study intends to explore the relationship between Islamic financing and economic growth. To entertain the objectives, the study used data of United Arab Emirates, Malaysia, and Indonesia for the years 1980-2018. The ARDL approach to co-integration was used in order to obtain the empirical results for exploring the relationship between the Industrial Production Index, Islamic banks deposits, Islamic bank financing, gross fixed Capital formation, trade openness, government expenditures, and inflation. Industrial production index is taken as a proxy of growth that represents real sector growth. Study findings illustrated a strong positive relationship between industrial production indices, Islamic bank deposits & financing, gross fixed capital formation and negative significant relation with trade openness in the study period. Whereas, government expenditure has insignificant relation and inflation has shown negative relation. It is recommended that Islamic banks should design their deposit instruments in terms of long-run. The Islamic banks may follow the path of conventional banking in this regard. Deposit’s negotiable certificates should be issued similar to the conventional banks.

Sector Specific Determinants of Foreign Portfolio Investment Inflows in India: A Panel ARDL Approach

This article investigates the factors that influence foreign portfolio investment (FPI) inflows to various sectors in India from February 2012 to July 2020. We find evidence that in the short-run FPI inflows in India have a significant positive relationship with the index of industrial production (IIP), foreign direct investment (FDI) and market capitalization (MC) while a significant negative relationship with the US dollars exchange rate (DEXR) and real effective exchange rate (REER). The results of the panel autoregressive distributed lag (ARDL) approach show that sectoral FPI inflows to the various sector in India have a significant negative relationship with interest rate differential (IRD), MC and the US DEXR in the long run. However, in the long run, it has a significant positive relationship with international liquidity (IL) and REER. In addition, we observe that for all sectors the interest rate differential boosts FPI inflows in India except for new economy sectors. The policy prescription of the study points toward the creation of a conducive investment climate to encourage foreign portfolio investors.

Оцінювання траєкторії соціально-економічного розвитку України в умовах впливу зовнішніх шоків останнього десятиліття

To assess the trajectory of the socio-economic development of Ukraine, a sample of ten indicators was formed for the period 2012-2021: nominal GDP of Ukraine; GDP per capita; direct foreign investment; index of industrial production; consumer price index; foreign trade balance; freight and passenger traffic; average monthly salary; salary arrears. In 2012-2013, the Ukrainian economy was still in a state of long-term recession after the global financial and economic crisis of 2008-2009. And already in 2014, there was a sharp deterioration of socio-economic indicators due to the annexation of Crimea and the resolution of the war in the Donetsk and Luhansk regions 2015-2019 are characterized by an improvement in the level of social and economic development of Ukraine. However, the "COVID19" pandemic has become another shock for the economy of Ukraine. Based on the formed sample, the taxonomic indicator of the level of development was calculated. According to the algorithm for calculating the taxonomic indicator of the level of development, all input indicators are divided into stimulators (high values increase the integral assessment) and destimulators (high values worsen the integral assessment). Among the indicators selected for the study, the consumer price index and salary arrears are classified as disincentives. All other indicators are stimulants. Standardized values of indicators were calculated on the basis of average values and standard deviations. Taking into account the taxonomic indicator of the level of development, the trajectory of the socio- economic development of Ukraine was evaluated and the years were ordered, in particular, the following ratings were assigned to them: 2013; 2019; 2018; 2017; 2021; 2012; 2016; 2020; 2015; 2014. The difference between the indicators of the taxonomic level of development of the best in the year 2013 and the worst in 2014 is 0.477 and indicates an almost one hundred percent decrease in the integral indicator of socio-economic development as a result of the war that began in the east of Ukraine in 2014. The deviation of the taxonomic level of development in 2020 from 2013 is equal to 0.312, which also characterizes the significant negative impact of the "COVID19" pandemic.

Трансформационные процессы консалтингового бизнеса в России

Today, due to the formation of a new order of international relations, the directions of development and the demand for consulting services in the Russian economy are very relevant. The nature of the economic environment and the very principles of its development determined a sharp change in the geopolitical situation. The model of integration into the global market that has developed over the past three decades will never be the same. The article analyzes the indicators of industrial production of the Russian Federation for the current 2022. The contribution of economic sectors to the growth of the index of industrial production of the mining and manufacturing industries of Russia was determined. The structural restructuring of the consulting sphere is characterized, innovations from the influence of social, political and economic changes are described and modern trends are determined. A structural analysis of the market for consulting services offers was carried out in the context of ongoing changes. Priorities for the development of Russia's consulting business for the near future have been identified.

How Long Can Macroeconomic Variables Affect the Islamic Index in Indonesia?

<p><em>This study aimed to examine the effect of macroeconomic variables' lags on Indonesia's Islamic index. The influence of lag can determine how long macroeconomic variables affect the Islamic index. The macroeconomic variables observed for their impact on the Islamic index are inflation, industrial production index, interest rates, exchange rates, gold prices, money supply, and world oil prices from May 2011 to December 2021. The approach used is the Autoregressive Distributed Lag (ARDL) model. The results show that the lags of macroeconomic variables influence the sharia index. The time it takes to affect the stock varies. Inflation, gold prices, and the money supply need a minimum of 1 month to affect stock prices. Industrial production indices and exchange rates have a high-speed ability to influence stock price movements at that time. Interest rates and world oil prices take at least three months to affect stock prices.</em></p>

Determinan Indeks Saham Syariah di Indonesia

The objective of this analysis was to research the effect of macroeconomics on the Indonesian Sharia Stock Index in the long term and short term. The variables of this study are macroeconomic as the independent variable, including Inflation (INF), Exchange Rate (KURS), Policy Interest Rate (SKBI), and Industrial Production Index (IPI). The dependent variable includes the Indonesian Sharia Stock Index. This study uses a quantitative approach. The technique used is the Error Correction Model (ECM). The results showed that INF, KURS, and SKBI had a negative and significant effect on the Indonesia Sharia Stock Index in the long term. In the short term, the exchange rate (KURS) negatively and significantly affects the Indonesian Sharia Stock Index.

INNOVATIVE APPROACHES TO THE ORGANIZATION OF BUSINESS PROCESSES OF TRANSPORT ENTERPRISES IN THE CONTEX OF THE EUROPEAN INTEGRATION

The simultaneous development of the European integration processes and military actions in Ukraine requires the justification of innovative approaches to the organization of business processes of transport companies to ensure their competitiveness in difficult conditions. The article substantiates directions and methods of innovative reorganization of business processes of a transport enterprise, taking into account external factors and regional characteristics. The article uses the methods of regression modeling to determine the degree of influence of environmental factors on the activities of enterprises, as well as the methodology of the European Cluster Observatory regarding the feasibility of creating clusters. It was established that the most influential factors of the external environment are the industrial production index (1.818) and the innovation index (0.639). To ensure the effective functioning of transport enterprises under the influence of these external factors, the feasibility of reorganizing their business processes by forming clusters with a logistics outsourcing platform is proposed and substantiated. The article carried out a quantitative assessment of the regions of Ukraine and established that it is most expedient to form transport and logistics clusters in Dnipropetrovsk (specialization index – 1.131), Odesa (specialization index – 1.244) regions and the city of Kyiv (specialization index – 1.810). The article highlights the joint business processes of transport enterprises, on the basis of which it is most effective to design a logistics platform as an integrated system of interaction of participants in the logistics chain according to B2B, B2C, B2G schemes. Common business processes include such groups as informational, economic, technological, financial, marketing, intellectual, managerial, and innovative. The structural components of the logistics and outsourcing platform have been presented. They are logistics and outsourcing companies, information and analytical centers and functional services. The organizational and management mechanism of joint business processes of transport enterprises for the logistics platform has been developed.

The impact of the Russia-Ukraine war on European energy stock prices

The world economy is developing to a new level with more challenges and more opportunities. However, the war between Russia and Ukraine has brought the world's energy resources into a tough situation. In this essay, we are going to set UK’s stock market as an example, to discuss since the war began in February 2022, the influence that brought to the European energy stock prices. We found two empirical results from the model. First, the positive correlation is existed between the excess return of energy stocks and the excess return of the market portfolio and the return of oil prices; Second, the Industrial production index and energy price CPI have no conspicuous influence on the returns of energy stocks. The results in this paper may benefit some relevant investors in the financial markets.

The Indirect Effect of Coronavirus Disease (COVID-19) Pandemic on Economic Growth in Malaysia: Evidence from The ARDL Approach

This study explores the indirect effect of corona virus (COVID-19) infections on economic growth in Malaysia using the industrial production index (IPI) as a proxy. Since the prevalence of COVID-19 infection, Malaysia’s economy has experienced swindles in its growth, just like other countries economy, and the struggle for survival among countries in which Malaysia’s economy is not exceptional becomes the current issue. This study incorporates the COVID-19 indirect impacts on economic growth which is conditional to COVID-19 deaths. It also explains a way forward for recuperation among economic sectors for faster economic growth in Malaysia. This paper uses the Auto Regressive Distributed Lag (ARDL) model to explore the indirect effect of COVID-19 infections on economic growth conditional on COVID-19 deaths in Malaysia. As an empirical study, the data used were monthly secondary data and were obtained from reliable sources. The findings from the results of the ARDL model, considering the unconditional model show that COVID-19 infections have a negative relationship with economic growth in Malaysia. The conditional models used to find the indirect impact of COVID-19 on economic growth considering the interaction of the variables at mean, maximum and minimum, prove that COVID-19 has an indirect negative effect on economic growth when COVID-19 deaths are at their mean and maximum. The marginal effect result shows a negative relationship and significance at 1%, indicating that increase in COVID-19 infections leads to decrease in economic growth in Malaysia conditional to COVID-19 deaths