scholarly journals The direct and indirect effect of cash transfers: the case of Indonesia

2018 ◽  
Vol 45 (5) ◽  
pp. 793-807
Author(s):  
Arief Anshory Yusuf
Keyword(s):  
National Economy ◽  
Rural Areas ◽  
Computable General Equilibrium ◽  
Value Added ◽  
Cash Transfers ◽  
Cge Model ◽  
Time Dimension ◽  
Content Type ◽  
Poverty And Inequality ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of unconditional cash transfers in Indonesia on poverty and inequality while, unlike much of the previous literature on the welfare impact of such transfers, acknowledging that they will have both a direct effect and an economy-wide effect on the national economy. Design/methodology/approach The methodology used is a Computable General Equilibrium (CGE) model of the Indonesian economy. The unique feature of this model, which is very relevant in this study, is the disaggregation of households by expenditure classes; this allows for precise estimation of the distributional impact and poverty incidence. Findings The results suggest that, despite a large reduction in poverty, particularly in rural areas, such transfers reduce the Indonesian GDP, especially if domestically financed through increasing the value added tax of all commodities. However, the GDP reduction can be reduced by approximately half when cash transfers are financed by reducing the distortionary fuel subsidy. Moreover, cash transfers financed by reducing the fuel subsidy also reduce inequality by much more than otherwise. Various extents of the distribution of the transfers are compared, from giving them to the poorest 10 percent to distributing them equally to all households. The benefit of the transfers, in terms of reduced poverty and inequality, is found to be smaller when the author extends the beneficiaries toward the non-poor, although the economy-wide cost, in terms of the reduced GDP, is smaller. Research limitations/implications The CGE model used in this model is a comparative-static model that does not explicitly model the time dimension, i.e. how the impact of the transfers evolves over time. This is important if we want to know the timing of the transfers and how and when they are translated into impacts. Practical implications To reduce the contractionary effect of cash transfers program, government/policy makers should carefully look for appropriate financing such as from removing subsidy with pre-existing distortions like fuel subsidies. Social implications Government needs to carefully design cash transfers to minimize the negative indirect (economy-wide) implication for the national economy and to make sure that the transfers reach the targeted beneficiaries. Originality/value Few previous studies have acknowledged the indirect economy-wide effect in analyzing the impact of cash transfers. To the author’s knowledge, this has never been done before for Indonesia. Unlike previous studies, this paper is unique as it contains sensitivity analysis on how transfers can be mistargeted and reach the non-poor and looks at the implications not only for poverty and inequality but also for the rest of the economy.

Mining booms and growth in Laos – empirical result from CGE model

2016 ◽  
Vol 15 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Phouphet Kyophilavong
Keyword(s):  
Computable General Equilibrium ◽  
Design Methodology ◽  
Negative Impact ◽  
Value Added ◽  
Dutch Disease ◽  
Cge Model ◽  
Mining Sector ◽  
Content Type ◽  
The Impact ◽  
Practical Implications

Purpose This study aims to lay out a framework to quantify the impacts of mining booms on the macro-economy in Laos. Design/methodology/approach A computable general equilibrium (CGE) model is used to investigate the impact of the mining sector on the Laos’ economy by examining this sector’s increase in both stock and the productivity of capital. Findings It was found that higher capital stock and productivity lead to increased value added, production, exports and investment in the mining sector. These increases result in higher real gross domestic product, exports and investment. Unfortunately, the effects from the associated Dutch disease negatively impact real production and value added in the agriculture and industry. Suitable macroeconomic management and prudent administration of the windfall income from mining are therefore important. Practical implications The finding is important for policymakers to implement policy to deal with the negative impact of mining booms. Originality/value It is the first study to attempt to investigate the impact of the mining sector on the Lao economy using the CGE model. Second, we also provide recommendation to cope with the negative impact from mining booms which provide important implications for other developing countries that face the negative impact from mining booms.

How much did the return of rural migrant labor affect China's national economy?

2014 ◽  
Vol 6 (1) ◽  
pp. 38-54
Author(s):  
Wei Jia ◽  
Xiaoyun Liu
Keyword(s):  
Growth Rate ◽  
Financial Crisis ◽  
National Economy ◽  
Computable General Equilibrium ◽  
Agricultural Sector ◽  
Migrant Labor ◽  
Content Type ◽  
Rural Migrant ◽  
The Impact ◽  
China’S Economy

Purpose – What this paper aims to tackle is how much did the return of rural migrant labor during the financial crisis affect China's GDP and the growth rate of the national economy. Design/methodology/approach – This paper constructs a computable general equilibrium (CGE) model and uses data of China's 2007 Input-Output Table to analyze the impact of the return of rural migrant labor on China's economy during the financial crisis. Findings – The results show that the return of rural migrant labor during the financial crisis had substantial impacts on China's economy. The national GDP decreased by about 0.499-1.463 percent, mainly due to the number of rural labor who migrated from the non-agricultural sector to agriculture. Of the major sectors of economy, the manufacturing, construction and other services sectors were the most affected. Originality/value – This paper assesses the impacts of return of rural migrant labor during the financial crisis on China's GDP and the growth rate of the national economy.

An econometric model of the determinants of private investment and a CGE model of the impact of democracy on investment and economic growth in Fiji

2008 ◽  
Vol 35 (12) ◽  
pp. 1017-1031 ◽  
Author(s):  
Paresh Kumar Narayan
Keyword(s):  
Computable General Equilibrium ◽  
Econometric Model ◽  
Private Investment ◽  
Cge Model ◽  
Content Type ◽  
Long Run ◽  
National Welfare ◽  
Investment Function ◽  
The Impact ◽  
Democratic Country

PurposeThe purpose of this paper is to construct an econometric model of the determinants of private investment with a particular focus on the impact of democracy on investment.Design/methodology/approachThe first step was to econometrically derive the long‐run elasticities; then to modify the Fiji computable general equilibrium (CGE) model to incorporate the investment function. Also the econometrically derived long run elasticities in the CGE model were used.FindingsIt was found that democracy has a positive and statistically significant impact on private investment in Fiji. The paper's simulation of Fiji becoming a fully democratic country on investment and other macroeconomic fundamentals, based on a CGE model, reveals that real gross domestic product and real national welfare increase by around 0.01 and 0.05 per cent, respectively; government savings and revenue performance improves; there is a trade balance surplus; and both private consumption and disposable income increase by around 0.05 and 0.12 per cent, respectively.Originality/valueThis is the first study that uses a CGE model to examine the impact of democracy, via investment, on other macroeconomic fundaments. No other study is known to have modelled democracy in a CGE framework.

scholarly journals Economic Impact of Public Expenditure in The Gambia

2020 ◽  
pp. 39-53
Author(s):  
Thomas Roberts ◽  
François J. Cabral ◽  
Samuel Maxime Coly
Keyword(s):  
Rural Areas ◽  
Computable General Equilibrium ◽  
Poverty Reduction ◽  
Service Sector ◽  
Public Expenditure ◽  
Value Added ◽  
The Gambia ◽  
Significant Finding ◽  
The Government ◽  
The Impact

The impact of public expenditure on the productive sectors (agriculture, industry, and service) in The Gambia, is analyzed within the framework of a Dynamic Computable General Equilibrium (DCGE) model. The model is applied and calibrated to assess the impact of a 10% increase in public expenditure on economic growth and welfare over five years. The results indicate an increase in GDP and value-added, mainly as a result of growth in the service sector.Also, an expansion of the service sector leads to the migration of jobs to the rural areas, which will consequently enhance rural labour income. A significant finding is that general public expenditure on agriculture may not get the desired result for poverty reduction, specifically in rural areas. As a result, public agricultural spending should be targeted across various agriculture sub-sectors, such as, irrigation, among others. The Government of The Gambia (GoTG) should also prioritize investment in the service sector, given that it has immense potentials in enhancing the livelihoods of Gambians in rural areas.

Effect of education on migration decisions in Ghana: a rural-urban perspective

2016 ◽  
Vol 43 (2) ◽  
pp. 336-356 ◽  
Author(s):  
Franklin Amuakwa-Mensah ◽  
Louis Boakye-Yiadom ◽  
William Baah-Boateng
Keyword(s):  
Educational Attainment ◽  
Rural Areas ◽  
Migration Decision ◽  
Skilled Workers ◽  
Mixed Effect ◽  
Content Type ◽  
Rural And Urban ◽  
Migration Decisions ◽  
Negative Effect ◽  
The Impact

Purpose – The purpose of this paper is to investigate the effect of education on migration decisions focusing on rural and urban in-migrants by comparing the 2005/2006 and 2012/2013 rounds of the Ghana Living Standards Survey (GLSS5 and GLSS6). After correcting for selectivity bias, the authors observed that anticipated welfare gain and socio-economic variables such as sector of employment, sex, experience, age, educational level and marital status significantly affect an individual’s migration decision. Design/methodology/approach – The authors made use of Sjaastad’s (1962) human capital framework as a basis for examining the impact of education on migration. The migration decision equation was based on the Heckman two stage procedure. Findings – While educational attainment is observed to have a positive effect on migration decision in the period 2005/2006, the authors find a negative effect of educational attainment on migration decision in the period 2012/2013. The effect of educational attainment on migration decision in 2005/2006 for urban in-migrant is higher than the effect for rural in-migrant, with its significance varying for the different stages of educational attainment. In absolute terms, whereas the effect of secondary educational attainment on migration decisions for urban in-migrant is higher than that of rural in-migrant, the reverse holds for higher educational attainment during the period 2012/2013. Social implications – Based on the mixed effect of education on migration decision as evident from the study, policies to enhance the educational system in Ghana should be complemented with job creations in the entire country. Moreover, special attention should be given to the rural sector in such a way that the jobs to be created in the sector do not require skilled workers. With quality education and job creation, the welfare of individuals living in urban and rural areas will be enhanced. Originality/value – In spite of the importance of education in migration decisions, there is scanty literature on the rural-urban dimension. To the best of the author’s knowledge there is no literature in the Ghanaian context which examines the rural and urban perspective of the impact of education on migration with a much recent data. Further, the author consider how the determinants of migration decision have changed over time focusing on rural and urban perspectives.

The impact of intellectual capital on firm performance: a study of Indian firms listed in COSPI

2018 ◽  
Vol 19 (5) ◽  
pp. 935-964 ◽  
Author(s):  
Neha Smriti ◽  
Niladri Das
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Value Creation ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Secondary Data ◽  
Share Price ◽  
Content Type ◽  
Listed Firms ◽  
The Impact

Purpose The purpose of this paper is to examine the effect of intellectual capital (IC) on financial performance (FP) for Indian companies listed on the Centre for Monitoring Indian Economy Overall Share Price Index (COSPI). Design/methodology/approach Hypotheses were developed according to theories and literature review. Secondary data were collected from Indian companies listed on the COSPI between 2001 and 2016, and the value-added intellectual coefficient (VAIC) of Pulic (2000) was used to measure IC and its components. A dynamic system generalized method of moments (SGMM) estimator was employed to identify the variables that significantly contribute to firm performance. Findings Indian listed firms appear to be performing well and efficiently utilizing their IC. Overall, human capital had a major impact on firm productivity during the study period. Furthermore, the empirical analysis showed that structural capital efficiency and capital employed efficiency were equally important contributors to firm’s sales growth and market value. The growing importance of the contribution of IC to value creation was consistently reflected in the FP of these Indian companies. Practical implications This study has robust theoretical grounds and employs a validated methodology. The present study extends knowledge of IC among academicians and managers and highlights its contribution to value creation. The findings may help stakeholders and policymakers in developing countries properly reallocate intellectual resources. Originality/value This study is the first study to evaluate IC and its relationship with traditional measures of firm performance among Indian listed firms using dynamic SGMM and VAIC models.

Coping mechanisms of Philippine tourism and hospitality family businesses during the COVID-19 pandemic: a non-parametric approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrea Santiago ◽  
Fernando Martin Roxas ◽  
John Paolo Rivera ◽  
Eylla Laire Gutierrez
Keyword(s):  
Rural Areas ◽  
Family Firms ◽  
The Philippines ◽  
Academic Community ◽  
Family Businesses ◽  
Content Type ◽  
Family Enterprises ◽  
Tourism And Hospitality ◽  
The Impact ◽  
Non Parametric

PurposeFamily businesses (FB), mostly small-sized, dominate the tourism and hospitality industry (THI), especially in the rural areas. While many would have been used to the impact of demand seasonality, it is unknown how these businesses would have survived through the restrictions imposed to contain the coronavirus disease 2019 (COVID-19) pandemic as compared to non-family business (NFB) counterparts. This study aims to determine if there were differences on how family and non-family enterprises in the THI coped with government restrictions.Design/methodology/approachBy subjecting the survey data from tourism enterprises to non-parametric techniques, the authors establish empirical evidence on similarities and differences of coping strategies adopted by FBs and NFBs; their required support from government and their perceptions of a post-pandemic THI.FindingsThe analysis revealed that family-owned tourism and hospitality businesses in the Philippines tended to collaborate with other businesses to manage the impact of the pandemic restrictions. Since they hired more seasonal workers prior to the restrictions, they tended to avoid hiring workers during the restricted period. NFBs, on the other hand, that were generally larger in size and more professionally managed with more regular employees, tended to streamline operations for greater efficiency.Research limitations/implicationsThe study relied on survey results distributed and collected online. There is an innate bias against those firms that did not have access to the survey links.Practical implicationsThe comparative study suggests that interventions to assist firms in the THI should consider the differences in firm ownership as “one size does not fit all.”Social implicationsThe study provides evidence about how environmental factors impact the operations of family firms. Thus, it provides valuable insights for both the academic community and industry practitioners.Originality/valueThis is the first study in the Philippines that was able to capture response of family and non-family firms in the THI during the COVID-19 lockdown.

What should be lean buffer threshold for the forward-reserve warehouse?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhavin Shah
Keyword(s):  
Mathematical Model ◽  
Customer Service ◽  
Value Added ◽  
Service Level ◽  
Buffer Size ◽  
Value Stream Mapping ◽  
Content Type ◽  
Customer Service Level ◽  
The Impact ◽  
Just Right

PurposeThe assorted piece-wise retail orders in a cosmetics warehouse are fulfilled through a separate fast-picking area called Forward Buffer (FB). This study determines “just-right” size of FB to ensure desired Customer Service Level (CSL) at least storage wastages. It also investigates the impact of FB capacity and demand variations on FB leanness.Design/methodology/approachA Value Stream Mapping (VSM) tool is applied to analyse the warehouse activities and mathematical model is implemented in MATLAB to quantify the leanness at desired CSL. A comprehensive framework is developed to determine lean FB buffer size for a Retail Distribution Centre (RDC) of a cosmetics industry.FindingsThe CSL increases monotonically; however, the results concerning spent efforts towards CSL improvement gets diminished with raised demand variances. The desired CSL can be achieved at least FB capacity and fewer Storage Waste (SW) as it shifts towards more lean system regime. It is not possible to improve Value Added (VA) time beyond certain constraints and therefore, it is recommended to reduce Non-Value Added (NVA) order processing activities to improve leanness.Research limitations/implicationsThis study determines “just-right” capacity and investigates the impact of buffer and demand variations on leanness. It helps managers to analyse warehouse processes and design customized distribution policies in food, beverage and retail grocery warehouse.Practical implicationsProposed buffering model offers customized strategies beyond pre-set CSL by varying it dynamically to reduce wastages. The mathematical model deriving lean sizing and mitigation guidelines are constructive development for managers.Originality/valueThis research provides an inventive approach of VSM model and Mathematical algorithm endorsing lean thinking to design effective buffering policies in a forward warehouse.

Municipal response to the Great Recession

2018 ◽  
Vol 30 (4) ◽  
pp. 384-401 ◽  
Author(s):  
Cary Christian ◽  
Jonathan Bush
Keyword(s):  
Great Recession ◽  
Rural Areas ◽  
Property Tax ◽  
Research Attention ◽  
Content Type ◽  
Service Levels ◽  
The Great Recession ◽  
Financial Condition ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to examine the impact of the Great Recession on small- to medium-sized municipalities within the states of Georgia and Florida using a newly developed set of quantitative indices. Design/methodology/approach An examination of the methods and strategies utilized by individual cities to maintain public service levels despite distressed revenues is performed. From the data, performance measures are developed and used to evaluate the efficacy of the various strategies used by the cities. Outcomes of Georgia municipalities were compared to similarly sized Florida municipalities to study how underlying differences in tax structures and economies might have affected those outcomes. Findings Georgia and Florida municipalities relied on very different strategies for surviving the recession and its aftermath. Enterprise activities were critically important in both states with transfers to or from governmental activities rationalized in various ways. While Georgia is generally anti-property tax, more than half the Georgia municipalities relied on property tax increases to survive. Municipalities were unable to count on increased intergovernmental revenues during the recession. Finally, even with a tourist activity advantage, Florida municipalities fared only marginally better during and just after the recession, and fared worse four to six years post-recession. Practical implications The measures developed in this study provide a new, customizable methodology for the evaluation of financial condition that does not require in-depth comparisons to peers. Social implications Small- and medium-sized cities, and especially those in rural areas, are worthy of targeted research to better understand their unique problems. Originality/value This research is novel in utilizing a fiscal condition methodology that can be applied to a single municipality and does not require comparisons to peers for validity. However, it represents a very intuitive and customizable tool for making comparisons between municipalities of any size when such comparisons are desired. Additionally, the focus of this study is on small- to medium-sized municipalities which generally do not receive as much research attention as larger cities.

An improved modified FMEA model for prioritization of lean waste risk

2018 ◽  
Vol 11 (2) ◽  
pp. 233-253 ◽  
Author(s):  
Agung Sutrisno ◽  
Indra Gunawan ◽  
Iwan Vanany ◽  
Mohammad Asjad ◽  
Wahyu Caesarendra
Keyword(s):  
Decision Support ◽  
Loss Function ◽  
Value Added ◽  
Ordinal Scale ◽  
Decision Support Model ◽  
Integration Model ◽  
Taguchi Loss Function ◽  
Content Type ◽  
The Impact ◽  
Support Model

Purpose Proposing an improved model for evaluating criticality of non-value added (waste) in operation is necessary for realizing sustainable manufacturing practices. The purpose of this paper is concerning on improvement of the decision support model for evaluating risk criticality lean waste occurrence by considering the weight of modified FMEA indices and the influence of waste-worsening factors causing the escalation of waste risk magnitude. Design/methodology/approach Integration of entropy and Taguchi loss function into decision support model of modified FMEA is presented to rectify the limitation of previous risk reprioritization models in modified FMEA studies. The weight of the probability components and loss components are quantified using entropy. A case study from industry is used to test the applicability of the integration model in practical situation. Findings The proposed model enables to overcome the limitations of using subjective determination on the weight of modified FMEA indices. The inclusion of the waste-worsening factors and Taguchi loss functions enables the FMEA team to articulate the severity level of waste consequences appropriately over the use of ordinal scale in ranking the risk of lean waste in modified FMEA references. Research limitations/implications When appraising the risk of lean waste criticality, ignorance on weighting of FMEA indices may be inappropriate for an accurate risk-based decision-making. This paper provides insights to scholars and practitioners and others concerned with the lean operation to understand the significance of considering the impact of FMEA indices and waste-worsening factors in evaluating criticality of lean waste risks. Practical implications The method adopted is for quantifying the criticality of lean waste and inclusion of weighting of FMEA indices in modified FMEA provides insight and exemplar on tackling the risk of lean waste and determining the most critical waste affecting performability of company operations. Originality/value Integration of the entropy and Taguchi loss function for appraising the criticality of lean waste in modified FMEA is the first in the lean management discipline. These findings will be highly useful for professionals wishing to implement the lean waste reduction strategy.

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