Do infrastructure and quality of governance matter for manufacturing productivity? Empirical evidence from the Indian states

Khanna, Rupika; Sharma, Chandan

doi:10.1108/jes-04-2017-0100

Cited by 14 publications

(9 citation statements)

References 67 publications

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“…The negative impact is stronger on CS (customer satisfaction) than on OGS (organizational goal satisfaction). This finding is in line with another study conducted to explore the impact of governance quality on the performance of the Indian manufacturing sector (Khanna and Sharma, 2018). While judicial service quality did not show significant impact, the “public service deliveries of economic infrastructure” exhibited significant impact on industrial performance.…”

Section: Discussionsupporting

confidence: 91%

Lean manufacturing implementation and performance: the role of economic volatility in an emerging economy

Basu¹,

Chatterjee²,

Ghosh

et al. 2020

JMTM

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PurposeThe purpose of this study is to explore the mediation effect of volatile economic conditions on performance benefits of successful kean manufacturing implementation (LMI). The mediating factor of economic volatility (EV) is constructed based on four macroeconomic dimensions – supplier uncertainty, market demand fluctuations, governmental policy changes and peer competition.Design/methodology/approachAn attempt is made to build an exhaustive list of the internal operational manifests grouped into one human and three technical input factors. Similarly the benefits accrued are collated under two performance measures – customer satisfaction (CS) and organizational goal satisfaction (OGS). Based on data from the Indian manufacturing sector, structural equation modelling (SEM) and ordinary least square (OLS) analyses are carried out to validate the proposed model.FindingsResults of the structural model validate the first six hypotheses posited in the model. Results of OLS further reveal the mediation effect of EV having negative impact on LMI–CS and LMI–OGS nexus.Practical implicationsThis research offers a fair understanding of the internal operational lean factors and the effect of volatile macroeconomic conditions on lean benefits. The structural model will aid the academicians and lean implementers comprehend the dimensional structure underlying the lean practices and beliefs. This work further helps to understand the moderation effect of environmental complexity on the output measures of LMI in the Indian manufacturing sector.Originality/valueThis work is one of the very first empirical analyses of lean performance under contingent economic conditions. The paper presents a valuable recommendation to practitioners for considering the dynamism of external economic environment instead of simply adopting standalone internal lean parameters, if satisfactory levels of performance in terms of CS and OGS are to be achieved.

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Section: Discussionsupporting

confidence: 91%

Lean manufacturing implementation and performance: the role of economic volatility in an emerging economy

Basu¹,

Chatterjee²,

Ghosh

et al. 2020

JMTM

View full text Add to dashboard Cite

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“…New economic geography also shows that infrastructure is an important stimulus for economic development, and the construction of a transport infrastructure has a positive effect on economic growth. Research results not only support the above conclusion but also are consistent with the argument that infrastructure is positively correlated with economic growth (Liu and Zhang, 2014; Khanna and Sharma, 2018). This also shows that the integration of a transport infrastructure in Beijing-Tianjin-Hebei not only accelerates the movement of economic factors, but also promotes the economic development of Beijing-Tianjin-Hebei.…”

Section: Analysis Of Hsfm Estimates For Different Regionssupporting

confidence: 85%

“…This is of vital importance for an improvement in regional economic efficiency. Most scholars agree that an open-door policy has a positive effect on economic efficiency (Khanna and Sharma, 2018). Research results show that economic efficiency is not significantly improved by the foreign investment arising from the economic opening of the districts, counties, and cities of Beijing-Tianjin-Hebei.…”

Section: Analysis Of Hsfm Estimates For Different Regionsmentioning

confidence: 96%

Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Xingling

Liu

2020

Chin. Geogr. Sci.

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Using a heterogeneity stochastic frontier model (HSFM), we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors. The key findings of the paper lie in: 1) in Beijing-Tianjin-Hebei, the overall economic and technological efficiency tended to increase in a wavelike manner, economic growth slowed down, and there was an obvious imbalance in economic efficiency between the different districts, counties and cities; 2) the heterogeneity stochastic frontier production functions (SFPFs) of Beijing, Tianjin and Hebei were different from each other, and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei; 3) economic efficiency was positively correlated with economic agglomeration, human capital, industrial structure, infrastructure, the informatization level, and institutional factors, but negatively correlated with the government role and economic opening. The following policy suggestions are offered: 1) to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei, governments must reduce their intervention in economic activities, stimulate the potentials of labor and capital, optimize the structure of human resources, and foster new demographic incentives; 2) governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions, thus attaining sustainable economic development; 3) governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors (e.g., labor, resources, and innovations) across different regions, thus attaining complementary advantages between Beijing, Tianjin, and Hebei.

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“…Further research results in the year 2017-2019 as follows Murova (2017) and Khanna & Sharma (2018) start by looking at that to increase the growth is by increasing the effectiveness of the public area. Nguyen (2018) said the government is raising the capital stock.…”

Section: Introductionmentioning

confidence: 99%

Government Stimulus Policy Effects to Foster Indonesia's Economic Growth: Evidence from Seventeen Years' Experience

2021

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We study the budget stimulus effects and government spending to help foster the recovery of Indonesia's current economic growth that was hit by the monetary crisis 1997 and 2008. Using government spending allocation policies through capital expenditures, infrastructure expenditures, financing through government debt, private debts, and increased productivity through export and import activities. This research provides to proves the extent to which macroeconomic variables could promote Indonesia's economic growth due to the crisis—using quantitative analysis of time series in the analysis of cointegration autoregressive distribution lag and bounds testing cointegration starting from 2001 Q4 to 2018q4 data. We can prove that in the short term, the most influential factor in economic growth is the first lag of the GDP growth itself; The first lag of exports, and the first lag of government spending and imports. However, some factors still negatively affect corruption control, government effectiveness, and government debt. While in the long term, government expenditure and imports still have a positive effect, but corruption control is still hurt GDP.JEL Classification: G18, O47How to Cite:Sriyanto, A., Murwani, S., & Sofilda, E. (2021). Government Stimulus Policy Effects to Foster Indonesia's Economic Growth: Evidence from Seventeen Years' Experience. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 63-76. https://doi.org/10.15408/sjie.v10i1.15480.

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Do infrastructure and quality of governance matter for manufacturing productivity? Empirical evidence from the Indian states

Cited by 14 publications

References 67 publications

Lean manufacturing implementation and performance: the role of economic volatility in an emerging economy

Lean manufacturing implementation and performance: the role of economic volatility in an emerging economy

Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Government Stimulus Policy Effects to Foster Indonesia's Economic Growth: Evidence from Seventeen Years' Experience

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