Multiplier Effect Research Articles

Large-scale agricultural investments and local food security – Evidence from a mixed-method case study in Benin

AbstractLarge-scale agricultural investments (LSAIs) and their impacts on local communities in host countries have been controversially discussed in recent years. As scholars increasingly call for more structured and comprehensive analyses, we develop a mixed-method approach using an expanded version of the “Right to Food” (RtF) framework to systematically investigate the local food security impacts of a recently established tomato-producing LSAI in Central Benin, West Africa. We find that the LSAI keeps natural resources as accessible as possible for the local community and provides employment opportunities, leading to higher dietary diversity of employees and multiplier effects in the local economy. At the same time, we find inequalities regarding the compensation of former land users as well as high job insecurity for temporary laborers who face high transportation costs to reach the LSAI. We argue that fair and inclusive compensation, improved access to markets and machinery, access to natural resources for often overlooked groups (pastoralists, hunters, fishermen) and social infrastructure are crucial factors in promoting positive outcomes of LSAIs on communities and that strong local institutions play a key role for achieving this. We conclude that the specific characteristics of our case (relatively small size, labor-intensive crop, focus on regional markets) provide favorable conditions for positive impacts on local food security. We encourage further, structured mixed-method studies, ideally including longitudinal and comparative research designs, to investigate the multidimensional effects related to the establishment of LSAIs. The extended RtF framework can thereby serve as a structural lens to systematically analyze the findings.

Modeling the effects of power efficient approximate multipliers in radio astronomy correlators

Large scale Radio Telescopes for Radio Astronomy highly depend on the availability of large (digital) processing capacities for imaging. Estimates concerning power efficiency for future Radio Telescopes lead to anticipated power consumption numbers beyond feasibility. To reduce the power budget, the use of approximate multipliers within the correlator is explored. A baseband equivalent executable model of a radio synthesis telescope is constructed to assess the effects of approximate multipliers. Besides ideal multipliers with floating point accuracy, the use of accurate 8-bit multipliers and 4 different types of approximate multipliers is explored. For each of these multipliers, the energy efficiency of an individual multiplier is known and used to determine the energy efficiency improvement of a correlator when using approximate multipliers. The effects of approximation are quantified by 3 metrics (Signal-to-Noise-Ratio (SNR), Spurious-Free-Dynamic-Range (SFDR) and Root-Mean-Square (RMS) level) derived from maps constructed by the executable model based on an empty sky with only a single point source. This is considered to be the worst case scenario. For illustration purposes, a more realistic input is processed by the model as well. The metrics have been determined based on different SNR levels at the input of each antenna element. For input SNR levels up to 10 dB, all types of approximate multipliers used in this paper can be exploited to improve energy efficiency of correlators, leading to a maximum energy reduction of 19 %. For input SNR values up to 30 dB an energy improvement up to 12 % can be achieved. These percentages are based on implementations in a 40nm low power IC technology at 1 GHz.

Ensuring sustainable development by prioritizing national economic interests

Aim. To develop recommendations on the formation of a national model of sustainable development of the Russian economy based on the identification of its key vectors, components in the conditions of external and internal shocks and changes caused by the transformation of strategic guidelines for sustainable development.Objectives. To analyze the peculiarities of the implementation of the global concept of sustainable development of the United Nations (UN) under the influence of deglobalization processes; to substantiate the need to transform the established foundations of sustainable development of economic systems in order to ensure the national economic interests of Russia; to propose the author’s approach to the formation of the structure and content of the national model of sustainable development of economic systems; to build a scheme of interaction between different levels of the economic system, ensuring the development of the national model of sustainable development of economic systems.Methods. In the course of the research we applied general scientific methods and techniques: analysis and synthesis, generalization of practical experience, expert assessments, comparison, abstraction and concretization, monitoring, modeling.Results. Based on the analysis of modern processes of deglobalization, the necessity of changing the structure and content of the concept of sustainable development of the Russian economy in the conditions of external shocks caused by the transformation of the global agenda of sustainable development was substantiated. The author’s approach to the formation of the structure and content of the national model of sustainable development of economic systems is proposed, which supplements the current triad of sustainable development (economy, ecology and social sphere) with innovation and institutional components and is scalable to the meso(regions) and micro-level (enterprises). The structure of the model sets socio-economic security, innovation security and the quality of the institutional environment in the conditions of external and internal shocks as controllable parameters, focusing on the creation of conditions for convergent convergence of meso-level systems. The scheme of organization of interaction between macro-, mesoand microlevels of the economic system is constructed, in which at the macrolevel the foundations of sustainable development of the country’s economy on the basis of national interests are set, management and control of mechanisms of sustainable development of economic systems of other levels are organized, and at the mesolevel the multiplier effect is provided for in the implementation of economic mechanisms of interaction of all elements of the regional ecosystem; the key task of the microlevel is the implementation of effective management of the regional ecosystem.Conclusions. Sustainable development of the Russian economy in the current conditions of global challenges is a complex task, the solution of which requires a systemic and holistic approach based on the prioritization of national economic interests. The proposed model, which determines the general guidelines at the macro level, suggests the organization of interaction of all three levels of the economy (macro-, mesoand micro-) with the provision of multiplier effect at the meso level, which requires the elaboration of adaptation mechanisms to the conditions of regional ecosystems and the specifics of business entities, suggests the continuation of the study.

Guiding a Russian region’s development under the moral paradigm: A case of the Republic of Crimea

Methodological and practical aspects of guiding the socio-economic development of Russia’s new regions are being actively conceptualized. The study attempts to identify the strategic avenue for governing one of Russia’s regions, namely the Republic of Crimea, in the context of moral imperatives. Methodologically, the work relies on a set of scientific concepts, such as state (regional) governance and new public management, as well as the provisions of humanistic, evolutionary, institutional and economic theories. The research methods are systematization, content analysis, analogical reasoning, and comparativeanalytical approach. The empirical evidence covers regulations and governmental programmes by the RF Government, executive authorities of the Republic of Crimea, and materials of the Simferopol and Crimea Diocese of the Russian Orthodox Church for 2005–2023. The paper presents a scientific explication of the moral paradigm in the context of state (regional) governance. We have substantiated a strategic direction of Crimea’s socio-economic development based on moral principles, including: dominance of the recreation sector generating a multiplier effect for related industries in the region; transformation of the functions and structure of the Crimean economy due to the special military operation in Ukraine and the rise in the moral component; the growing importance of healthcare and tourism industries in Crimea’s economic space. The findings of the research contribute to the development of theoretical and methodological provisions of state and municipal governance.

Does household debt affect the size of the fiscal multiplier?

Abstract Does household debt affect the size of the fiscal multiplier? We investigate the effects of household debt on government spending multipliers using a smooth transition vector autoregression model. Through generalized impulse response functions, we measure whether the effect of government spending on GDP is conditioned by different levels of household debt in Australia, Sweden, and Norway, three countries with high levels of household indebtedness, and in the world’s seven largest economies. Our results indicate that the short-term effects of government spending tend to be higher if fiscal expansion takes place during periods of low household debt. On average, the fiscal multiplier (on impact) is 0.70, 0.61, and 0.79 (percent of GDP) larger when the increase in government spending takes place during periods of low household debt for Australia, Norway, and the United States.

Should we trust cross‐sectional multiplier estimates?

SummaryI examine the properties of cross‐sectional estimators of multipliers, elasticities, or pass‐throughs when a conventional spatial macroeconomic specification generates the data. A number of important biases plague standard estimates; the most relevant one occurs when the units display heterogeneous dynamics. Methods that work well in this situation are suggested. An experimental setting shows the magnitude of the biases cross‐sectional estimators display. Average estimates of local fiscal multipliers in the US states are compared and contrasted.

The Fiscal Multiplier of Public Investment: The Role of Corporate Balance Sheet

Abstract This paper explores whether public investment crowds out or crowds in private investment. To this aim, we build a database of about half a million firms from 49 countries. We find that the effect of public investment on corporate investment depends on leverage, liquidity constraint, and firm’s operating (labor) efficiency. In line with theory, public investment boosts private investment for firms with low leverage, but not for firms with high leverage, for firms that are financially constrained or that have low operating efficiency.

Regional Analysis for Sustainable Economic Development: A Case Study of Sukamara Regency, Kalimantan Tengah, Indonesia

Economic growth remains the sole determining factor that shapes regional development in Sukamara Regency, Kalimantan Tengah, Indonesia. Therefore, in designing and formulating its regional planning, it is imperative that the leading economic sector(s) be specifically studied and prioritized. Using quantitative data and regional analysis, this research aimed to identify the leading sector(s) to formulate recommendations for the regency’s development planning using geographic information systems and three economic growth indicators: location quotient (LQ), multiplier effect (ME), and shift-share (SS). Results indicate that Forestry, Agriculture, and Fisheries is the primary leading sector, followed by Manufacturing, which are both fuelled by the palm oil industry. The prevailing industrial sector causes economic disparities between northern and southern Sukamara. For further regional development, disparities between regions and sustainability issues must be addressed using a nature-based approach and socially inclusive measures by promoting and fostering small and medium enterprises, especially in southern Sukamara. Shifting the economy from extractive sectors (primary) to trade and tourism (secondary and tertiary) is also recommended to ensure the sustainabality of the development.

Local projections in unstable environments

This paper develops a local projection estimator for estimating impulse responses in the presence of time variation. Importantly, we allow local instabilities in both slope coefficients and variances. Monte Carlo simulations illustrate that the method performs well in practice. Using our proposed estimator, we shed new light on the effects of fiscal policy shocks and the size of government spending multipliers. Our analysis uncovers the existence of instabilities that were unaccounted for in previous studies, and links time variation in the multipliers to the size of government debt.

Abstract PR001: Highlighting the combined effects of BMI and polygenic risk score on endometrial cancer risk

Abstract Obesity is more strongly associated with endometrial cancer risk than any other cancer type. However, the extent to which genetic susceptibility influences the risk of endometrial cancer independent of obesity remains unknown. Thus, this study aimed to evaluate the predictive performance of polygenic risk score (PRS), body mass index (BMI) and other factors in determining endometrial cancer risk, as well as to explore joint effects on endometrial cancer. PRS was generated using 1.1 million HapMap3 variants from the largest published endometrial cancer genome-wide association study. An endometrial cancer prediction model was constructed using established endometrial cancer risk factors (age, BMI, number of live births, ever taken oral contraceptive pill, age of menarche, and predicted age of menopause). Additionally, an integrated prediction model was constructed, combining the endometrial cancer PRS with established risk factors. The ability of models to predict endometrial cancer status was assessed in unrelated participants of European ancestry from the UK Biobank cohort, encompassing 1,867 participants with endometrial cancer (860 incident cases) and 133,322 cancer-free controls. The integrated model including PRS and risk factors had a modest yet statistically significant improvement in prediction of endometrial cancer status, compared with the model using risk factors alone (AUC 0.752 versus 0.741; P = 1.28 × 10−7). When examining incident cases, participants in the middle and top tertiles of the PRS distribution had a 1.96- (95% CI 1.39-2.77; P = 1.28 × 10−4) and 3.03-fold (95% CI 2.01-4.58; P = 1.60 × 10−8) elevated risk of developing endometrial cancer, respectively, in contrast to those in the lowest tertile. As expected, elevated BMI was associated with increased endometrial cancer risk. Compared to participants with a normal BMI, overweight participants (25kg/m2 ≤ BMI < 30kg/m2) had a 1.58-fold increased hazard ratio (HR; 95% CI 1.32-1.90; P = 8.43 × 10−7), while obese participants (BMI ≥ 30kg/m2) a 3.23-fold increased HR (95% CI 2.71-3.85; P < 2.00 × 10−16). Notably, we observed multiplying effects of BMI and PRS on endometrial cancer risk, with obese participants in the top tertile of the PRS distribution having a 7.53-fold increased HR (95% CI 3.78-14.99; P = 9.41 × 10−9). In summary, these findings indicate that higher PRS was associated with endometrial cancer risk, irrespective of BMI. Moreover, the integration of PRS with established risk factors may aid in better stratifying the general population for their susceptibility to endometrial cancer. Citation Format: Tracy A. O'Mara, Xuemin Wang, Laure Dossus, Marc J. Gunter, Emma J. Crosbie, Dylan M. Glubb. Highlighting the combined effects of BMI and polygenic risk score on endometrial cancer risk [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr PR001.

The role of strategy in ensuring the security of business structures

The paper considers the role of strategizing in ensuring the security of business structures. The theoretical aspect of the concept of "strategizing" in the context of security of business structures is studied. The approaches to defining the essence of its concept by foreign and domestic scholars are analyzed. It is determined that the most key aspects are the following: development management, self-development potential, a set of provisions and procedures, actions in case of uncertainty, maneuvering in conditions of imbalance, multiplier effect, achievement of goals, and resource. It is found that the main structural elements of business security are determined in accordance with the specifics of their activities. The most commonly distinguished are the following: information, technical and technological, personnel and intellectual, financial, organizational and managerial, environmental, power and political and legal. The author defines the role of strategizing in the formation of the security system of business structures and how it affects its individual subsystems, in particular, financial, technical and technological, organizational and managerial. With regard to the former, the actions and measures of strategizing are implemented at the stages of planning, analysis, evaluation and control. As for the second, they are implemented during foresighting, planning, analysis, evaluation, modeling, and controlling. As for the third, the actions and measures of strategy are implemented in planning, analysis, evaluation, controlling, forecasting and determining KPIs. All of this will have the corresponding effect: as for the financial subsystem of security - increasing the level of financial independence, sustainability and competitiveness; as for the technical and technological subsystem - increasing the level of innovation, adaptability, competitiveness; as for the organizational and managerial subsystem - increasing the level of corporate social responsibility, interconnection between the structural units of the organizational management structure.

VALUASI EKONOMI DAN DAMPAK WISATA PANTAI TANJUNG PASIR TERHADAP SOSIAL EKONOMI MASYARAKAT SEKITAR DI KABUPATEN TANGERANG

This study aims to examine the factors that influence the number of tourists who visit Tanjung Pasir Beach, the economic value of tourism, and the impact of tourism on Tangerang Regency's economy. A survey was used in this study, with 77 visitors, 15 businessmen, and a tourism manager responding to the survey. The Tanjung Pasir Beach was selected intentionally as the location for the research. The collection of data was conducted in January - February 2023. This study employed the travel cost, multiple linear regression, and Keynesian multiplier effect as data analysis techniques. The findings revealed that visitors spent IDR102,493.51 per individual per visit on transportation. Distance, age, income, travel costs, facilities, and infrastructure are all factors that influence the number of tourist visits. The result of the calculation of travel cost using TCM on Tanjung Pasir Beach has a yearly economic value of IDR 44,801,325,052. The multiplier effect is used to estimate the economic impact of Tanjung Pasir Beach tourism, which has a direct impact of IDR 193,031,663.83 per month, an indirect impact of IDR 116,505,417.50 per month, and a secondary impact of IDR 80,166,666.67 per month. Tanjung Pasir Beach tourism still has a low impact on the economy because the Keynesian income multiplier value is 0.04. Key words: economic impact, economic value, tourism, travel cost

Optimal Corrective Maintenance Policies via an Availability-Cost Hybrid Factor for Software Aging Systems

Availability is an important index for the evaluation of the performance of software aging systems. Although the corrective maintenance increases the system availability, the associated cost may be very high; therefore, the balancing of availability and cost during the corrective maintenance phase is a critical issue. This paper investigates optimal corrective maintenance policies via an availability-cost hybrid factor for software aging systems. The system is described by a group of coupled differential equations, where the multiplier effect of the repair rate on a system variable is bilinear term. Our aim is to drive an optimal repair rate that ensures a balance between the maximal system availability and the minimal repair cost. In a finite time interval [0,T], we rigorously discuss the state space of the system and prove the existence of the optimal repair rate, and then derive the first-order necessary optimality conditions by applying a variational inequality with the adjoint variables.

Development of a Mechanism for Assessing Mutual Structural Relations for Import Substitution of High-Tech Transfer in Life Cycle Management of Fundamentally New Products

The emergence of fundamentally new products is conditioned both by the development of techniques and technologies and by the emerging new needs and conditions of economic and social life of society. In this case, the process of achieving product dominance in the market has a progressive cyclical character in the form of a spiral pattern, the movement along which occurs with acceleration. At the current stage of economic development, most states have problems expanding sales of products and capturing new markets. These problems today are described in the works of various scientists; the research of the authors touches upon the issues of economic development. Today’s economic conditions, which are characterized by the application of sanctions pressure on a large scale, do not assess the opposite effect, when the countries that are subjected to this pressure, and the countries that organize this pressure, suffer economic damage. Some suffer damage in the form of reduced ability to produce knowledge-intensive products by providing them with imported materials and components, others who exert this pressure, by reducing the sales of their products, and in this case, it is relevant to build a mechanism for assessing mutual structural links for import substitution of high-tech transfer in the management of the life cycle of radical new products, which in our view is useful for those or other countries. The hypothesis is that the modeling of mutual structural relations of high-tech transfer in the management of the life cycle of radical new products will significantly improve the mechanisms of industrial policy management and national technological security and ensure sustainable economic development. The aim of the study is the task of developing a mechanism of mutual structural links and assessing the synergetic economic effect based on the approach of intersectoral links, interactions and interdependencies. In the course of the research, the following tasks are solved: the necessity to adequately replace high-tech imports within the framework of national technological security is substantiated, for this purpose it is necessary to create unique equipment for the system of RNP production; the assessment of the possibility of realization of such a task is carried out; the assessment of high-tech competencies of science and production, technical and resource readiness (configuration of the RNP system) is necessary, and a complex model for the assessment of structural and mutual linkages in the economy of innovation is developed. The modeling performed by the authors allowed us to assess the structure of domestic high-tech imports and the coefficients of mutual linkage of imports. The practical significance of the study lies in the fact that the conducted research makes it possible to significantly improve the efficiency of management of innovation processes of high-tech transfer to ensure the creation of a system of production of radically new products at the levels of organization, industry or national economy, which will ensure stable economic development. For this purpose, the structure and dynamics of high-tech imports of the Russian Federation have been analyzed and calculated, taking into account critical technologies and industries. The multiplier effects in high-tech industries of the Russian economy taking into account imports were analyzed on the basis of the latest actual detailed data of Rosstat. The estimation of the mutual relationship of imports and application of the developed toolkit for the example “Mechanical equipment, machine tools and other equipment for general or special purposes” is carried out.

Sustainability drivers of fast-moving consumer goods supply chains: a multi-method study

PurposeThis study responds to the calls from the literature on identifying interactions among the sustainable supply chain management (SSCM) drivers, which influence focal firms’ SSCM decisions. It also determines how the effect of SSCM drivers differs across the upstream and downstream supply chains (SCs) entities of fast-moving consumer goods (FMCGs) companies.Design/methodology/approachWe employ a multi-method design encompassing three studies: study 1 (multiple-case study), study 2 (quantitative survey), and study 3 (multiple-criteria decision-making or MCDM modeling).FindingsThe results show that the external drivers such as customer pressure, competition, and supplier pressure and internal drivers such as top management commitment interact to influence the adoption of SSCM practices, and this interaction is diverse across upstream and downstream SC entities of the FMCG sector. The study provides empirical evidence of relationships among the SSCM drivers, which influence SSCM decisions.Originality/valueUnderstanding these interactions will help managers derive strategies to manage the overall SSCM ecosystem and recognize the multiplier effects of upstream to downstream and vice versa.

Taking the edge of ostracism – a slow death: from socio-legal perspective

PurposeFirst, with real-life examples and current research, this study aims to demonstrate the existence of various forms of ostracism (linguistic, gender, social and workplace). Second, following the “need-threat model,” this research addresses the previously unaddressed topic of coping with, reducing, mitigating or curbing workplace ostracism. Moreover, the researchers also proposed a “multiplying effect model” of ostracism.Design/methodology/approachData was gathered from 199 service sector employees. The NVivo software is used for the thematic analysis of qualitative data(suggestions) gathered using open ended question on how to mitigate/reduce/curb ostracism.FindingsThe results generated were the suggestive measures, which were further categorized under three major themes: individual, society and organizational. The measures to reduce, mitigate and stop the practices of workplace ostracism can be initiated on all these three levels.Originality/valueThis is the only study that addresses the subject of decreasing, alleviating or eliminating workplace ostracism and explains the compounding effect of ostracism by suggesting a multiplying effect model. The study will pique the interest of the government and legislators to propose legal measures to prevent ostracism and achieve sustainable development goals (gender equality and reduced inequalities. The study’s practical, social, theoretical and managerial utility are discussed in the implications section.

Assessing the impact of urban planning policies on renewable energy: A case a China using the DID estimation model

The ongoing pace of urbanization poses a substantial obstacle to the concurrent progress of both financial and ecological development. Recognizing this challenge, governments globally are formulating cutting-edge strategies for urban renewal to ensure the long-term sustainability of cities. In this context, we employ a difference-in-differences model to scrutinize the intricate relationship between smart cities and the growth of renewable energy, utilizing the Chinese smart city pilot program as a pertinent experiment. This analytical approach provides novel insights into the underlying reasons behind this correlation. The research yields three noteworthy findings. Firstly, it underscores the indispensable role of pilot initiatives in smart cities for advancing the cause of renewable energy. Secondly, the study reveals a positive and beneficial interplay between creativity, economic inclusion, and the utilization of technological innovation in experimental urban programs, suggesting a potential multiplier effect. Thirdly, the local context significantly influences the impact of smart city pilots, with the dissemination of renewable energy being particularly effective in resource-rich, metropolitan, and coastal cities. Observable impacts of current smart city experiment on energy security and sustainable development are already apparent. The research findings contribute fresh perspectives to the complex challenges of sustainable energy production and urban planning, especially in developing countries like China.

Analisis Pembangunan Moda Raya Terpadu Terhadap Struktur Perekonomian Provinsi DKI Jakarta Tahun 2013-2019

The Provincial Government of DKI Jakarta Investment on Moda Raya Terpadu (MRT) project is an effort to improve the mass transportation system and overcome congestion problems. The development of Moda Raya Terpadu project will affect the construction sector and other sectors. This study aims to analyze the role of the construction sector, inter-sectoral linkages, degree of sensitivity and spread, multiplier effect, and also analyze the economic impact of government investment on The Moda Raya Terpadu project, in terms of output, income, and job opportunities.This research has been conducted with an input-output analysis. This analysis uses data from the DKI Jakarta Province Input-Output Tables based on producer prices year 2012, classified as 72 sectors that have been aggregated into 17 main sectors. This study indicates that the construction sector has a massive contribution to the formation of output in DKI Jakarta Province. The construction sector has a greater backward linkages value than the forward linkages value. The construction sector has a higher degree of spread therefore this sector can encourage the growth of its upstream sector. The construction sector has owned the largest output multiplier value compare to income multiplier and job opportunities. The Moda Raya Terpadu (MRT) project can create an overall economic output of 42,8 trillion rupiahs, an enlarge in household income of 5,2 trillion rupiahs, and expand for 51 thousand job opportunities

Impact of foreign trade and foreign direct investment on economic growth: Empirical insights from Nepal

This study aims to examine the impact of foreign trade and foreign direct investment on Nepal’s long-term economic growth. It uses secondary data from 1989/90 to 2021/22 collected from various economic surveys of the Ministry of Finance of Nepal. Descriptive and explanatory research designs are used in this study. The trace, max-eigen tests, and fully modified least square methods search the long-run co-integration and impact between response and predictor variables. Trace and max-eigen tests consistently point toward the long-run co-integration between dependent (gross domestic product) and independent (import, export, total trade, and foreign direct investment) variables. Exports and imports are found to be negative and statistically significant to explain Nepal’s economic growth. One unit increase in exports results in a 0.748 unit decrease in Nepal’s economic growth. Similarly, total trade volume and foreign direct investment positively impact economic growth. Each unit increase in foreign direct investment results in a 0.0036 unit increase in GDP in Nepal. Foreign trade has a multiplier effect on Nepal’s GDP growth. The 76.35 percent variation in economic growth depends upon total foreign trade volume, exports, imports, and foreign direct investment. To promote sustainable economic growth, policymakers should prioritize policies encouraging increased total foreign trade and foreign direct investment while carefully managing the potential negative impact of excessive reliance on import dynamics.

Economic Simulation of Central Java: Indonesia’s Province-Based IRIO Analysis

This study simulates increased sectoral investment in the economy of Central Java Province, Indonesia. Using output and household income indicators, several policy scenarios are applied to Indonesia's interregional input-output (IRIO) tables, including green economic scenarios. The aim of this research is to identify the most impactful policy on the economy of Central Java based on the results of investment policy simulations. Investment injections are conducted in production sectors within Central Java and in sectors outside the province. By assessing the direct, indirect and induced effects on economic sectors and households, cross-sectoral insights for regional development policies, the simulation results show that the Central Java economy experiences the best impact in terms of sectoral household output and income levels. In IRIO analysis, this impact is seen as a multiplier effect from sectors within and beyond Central Java. The findings imply that policies focused on local sector development will generate the highest income levels and largest output multiplier for Central Java given the existing economic conditions, while green economic policies do not have insignificant economic impacts compared to non-green policies. It is crucial to develop additional policy scenarios targeting both local and non-local industries to obtain more sensitive simulation results.