Input Misallocation Research Articles

Financial Constraints, Investment Climate and Firm Productivity of Small and Medium Enterprises (SMEs) in India

The study’s major aim is to explore the effects of financial constraints and the investment climate conditions on resource misallocation and productivity of Indian Small and Medium Enterprises on a larger sample of 6,932 firms using data from the World Bank Enterprises Survey, 2014. The current study employs Hsieh and Klenow model (2009) and Stochastic Frontier Analysis to measure the distortion in input misallocation and firm productivity, respectively. The study’s major findings suggest a distortion of resources in capital and labour, but the extent of misallocation is more significant in the case of capital. Financial constraint significantly affects the marginal productivity of capital and labour and firms’ total factor productivity. Investment climate conditions such as red tape and harmful competition are critical to achieving the productivity gap of capital. Further, red tape in the system adversely affects the efficiency and productivity of firms. Hence, in addition to access to finance, focus on investment climate conditions such as red tape and harmful competition should be given while framing policies to support Small and Medium Enterprises in India.

When Losses Turn into Loans: The Cost of Weak Banks

We provide evidence that banks distort the composition of credit supply in order to comply with ratio-based capital requirements in times of economic distress. An unexpected intervention by the European Banking Authority provides a natural experiment to study how banks respond to falling below minimum required capital ratios during an economic downturn. We show that affected banks respond by cutting lending but also by reallocating credit to distressed firms with underreported loan losses. We develop a method to detect underreported losses using loan-level data. The credit reallocation leads to a reallocation of inputs across firms. We calculate that the resulting increase in input misallocation accounts for about 22 percent of the decline in productivity in Portugal in 2012. (JEL E23, E32, G21, G28, G32, G38)

Who Needs to Save Energy and Reduce Emissions? Perspective of Energy Misallocation and Economies of Scale.

With the rapid development of the economy, human survival and socio-economic development are facing the severe challenges of climate threats. Global warming is one of the greatest threats to human survival and political stability that has occurred in human history. The main factor causing global warming is the extensive use of energy; therefore, it is imperative to spend more effort in energy conservation and emission reduction. In this context, this paper provides a reference and basis for decision making on emission-reduction paths through the perspective of energy input misallocation and economies of scale of CO2 emissions. The results show that for cities with relatively low energy inputs, the impact of excessive energy input on CO2 emissions is stronger than the effect of the scale of energy input on reducing CO2 emissions. Therefore, these cities need to prioritize energy conservation and emission reduction. On the other hand, in cities with large energy inputs, the impact of the scale of energy input on reducing CO2 emissions is more significant than the effect of excessive energy input on CO2 emissions. Therefore, these areas should also focus on energy conservation and emission reduction. The results of this paper have theoretical value and practical significance for scientifically implementing energy conservation and emission reduction strategies, as well as reasonably planning energy conservation pathways.

Productivity Variation and Input Misallocation: Evidence from Hospitals

Productivity Variation and Input Misallocation: Evidence from Hospitals

Quantitative Evaluation and Characteristic Analysis of Resource Allocation Efficiency of the Energy Industry in the Yangtze River Economic Belt

The resource allocation efficiency of the energy industry in the Yangtze River economic belt is related to the green and high-quality development of the region. This study constructed a quantitative model which modified from the traditional HK model to evaluate the efficiency of energy industry resource allocation. This paper makes a quantitative evaluation of the efficiency of inter-industrial and inter-regional resource allocation of the energy industry in the Yangtze River economic belt from 2000 to 2019. The results show that: the average annual loss of total factor productivity of the energy industry in the Yangtze River economic belt is as high as 25.11% due to the misallocation of resources among the energy industries, capital misallocation, labor misallocation, and intermediate input misallocation were 12.32%, 7.08%, and 5.08%, respectively. The misallocation of resources among the energy industries of the provinces in upper, middle, and lower reaches is gradually increasing in turn. The average annual loss of total factor productivity (TFP) in the energy industry of the Yangtze River economic belt is 6.5% due to the misallocation of resources between regions. Capital misallocation, labor misallocation, and intermediate input misallocation were 2.48%, 3.40%, and 0.63%, respectively. In the upper, middle, and lower reaches of the Yangtze River, the labor force, capital, and intermediate input of each province’s energy industry were misallocated to a different extent. According to the trend of resource input in the energy industry of various provinces and cities, the middle and lower reaches of the Yangtze River also show different characteristics.

Female entrepreneurship, financial frictions and capital misallocation in the US

We document and quantify the effect of a gender gap in credit access on both entrepreneurship and input misallocation in the US. Female entrepreneurs are found to be more likely to face a rejection on their loan applications and to have a higher average product of capital, a sign of gender-driven capital misallocation that decreases in female-led firms’ access to finance. These results are not driven by differences in observable individual or businesses characteristics. Calibrating a heterogeneous agents model of entrepreneurship to the US economy, we show that the observed gap in credit access explains the bulk of the gender differences in capital allocation across firms. Eliminating such credit imbalance is estimated to potentially increase output by 4%, and to reduce capital misallocation by 12%.

Wage Determination Across Firms

Some firms pay higher wages than others for identical workers. To unpack the firm wage premium distribution, I develop and implement a new structural decomposition using datasets that cover the universe of employers and employees in France. Existing research shows that firm wage premia depend on firms' labor productivity and wage-setting power. This paper shows that they also depend on firms' product market power and labor share of production. I find these firm characteristics to be correlated with each other, implying that: (i) without taking the latter set of characteristics into account, workhorse models that generate firm wage premia overestimate the contributions of firms' labor productivity and wage-setting power; (ii) conventional measures of input misallocation overestimate the degree of labor misallocation; (iii) high productivity firms have low labor shares of revenue not only because of greater product market power, but also greater labor market power and low labor shares of production.

Misallocation in Open Economy

This paper estimates the impact of reducing export and import tariffs on firm input choices. In presence of borrowing constraints, lower export tariffs facilitate the reallocation of capital and labor inputs across firms, while a decline in import tariffs either tightens import competition or increases the availability of imported inputs; all three mechanisms suggest that a higher degree of openness should be associated with lower misallocation. To analyze the empirical relationship between openness and input misallocation, we draw on the annual surveys conducted by the Chinese National Bureau of Statistics (NBS) between 1998 and 2007. From the surveys, we con- struct firm-level measures of input misallocation that control for firm heterogeneity; we identify shocks to openness using industry tariff levels and firm trade shares. We find that firm facing higher tariffs in either import or export markets make less optimal input choices. We further decompose our analysis between input and output tariffs: our results suggest that the labor reallocation mainly occurs because of lower input tariffs, while the selection effect induced by changes in output tariffs does not necessarily cause more distorted firms to exit and, therefore, tends to have an insignificant effect on input allocation. Finally, we calculate the contribution of tariff changes towards aggregate misallocation and productivity: our results indicate that the impact of firm-level tariff reductions on aggregate misallocation and productivity was marginal in our sample period, but the presence of sizeable interactions between trade shocks and mis- allocation at the sector level suggests that our result should be interpreted as a lower bound of the overall effect.

Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms

Recent econometric advances have made it possible to distinguish between persistent and transient technical inefficiency along with allocative inefficiency in stochastic frontier models for panel data. Kumbhakar et al. (2020) and Lai and Kumbhakar (2019) introduce a methodology that allows for the estimation of these inefficiency components and costs therefrom, while including determinants of both components of technical inefficiency. We extend these models to include technical change and determinants of allocative inefficiency (input misallocation). Including a set of variables that influence input misallocation, we are able to determine the effects of these variables on the cost of allocative inefficiency. We provide empirical evidence on the costs of all three types of inefficiency using data on 149 Norwegian electricity distribution firms between 2000 and 2016. We find that the cost of input misallocation is only slightly lower than that of technical inefficiency. Our results reject a commonly imposed modeling assumption that firms are fully allocatively efficient.

Disentangling Costs of Persistent and Transient Technical Inefficiency and Input Misallocation: The Case of Norwegian Electricity Distribution Firms

Numerous studies have focused on estimating technical inefficiency in electricity distribution firms. However, most of these studies did not distinguish between persistent and transient technical inefficiency. Furthermore, almost none of the studies estimated the cost of input misallocation arising from non-optimal use of inputs. One reason is that the cost function (input distance function) typically used in the literature does not allow for the separation of technical inefficiency and allocative inefficiency. In this study, we estimate both the persistent and transient components of technical inefficiency and input misallocation of Norwegian electricity distribution firms, using panel data from 2000 to 2016. Our modeling and estimation strategy is to use a system approach, consisting of the production function and the first-order conditions of cost minimization. Input misallocation for each pair of inputs is modeled via the first-order conditions of cost minimization. We also estimate the costs of each component of technical inefficiency and input misallocation by deriving the cost function for a multi-output separable production technology. Our modeling and estimation strategy handles endogeneity of inputs. Finally, we allow for inclusion of determinants of persistent and transient technical inefficiency. Our results show that the costs of input misallocation of Norwegian electricity distribution firms are non-negligible.

The sources of heterogeneity in firm performance: lessons from Italy1

Abstract An extensive body of literature documents large and persistent within-industry heterogeneity of firm performance. While some authors explain such evidence in terms of input misallocation, we provide an alternative analytical framework that integrates insights from resource-based and institutional approaches. We interpret firms’ behaviour as the result of the interaction among exogenous and endogenous factors. Exogenous factors, both supply and demand related, define the opportunity set that is available to firms. Endogenous factors reflect instead firm-specific interpretations of such set, which, combined with the available resources and capabilities, determine a firm’s strategic responses, which can be markedly heterogeneous. Whenever the diversity of firm conducts is associated with relatively small profit differentials, firm heterogeneity can persist. Evidence based on the evolution of labour productivity and profit dispersion in the Italian manufacturing sector between the 1990s and early 2000s provides support for our interpretative framework.

Sources and Implications of Resource Misallocation: New Evidence from Firm-Level Marginal Products and User Costs

Using micro-data on firm-specific borrowing costs and wages, we demonstrate that distortions in firms’ policies can be empirically measured using firm-level gaps between marginal revenue products and user costs (MRP-cost gaps). We estimate MRP-cost gaps for 4.7 million firm-year observations in Italy between 1997 and 2013: their variation is closely related to the extent of credit and labor market frictions. Using the MRP-cost gaps, we assess the scope of input misallocation in Italy, and its impact on aggregate output and total factor productivity (TFP). The Italian corporate sector could produce 6% to 8% more output by reallocating resources toward higher-value users. Output losses from misallocation are larger (i) during episodes of financial instability, (ii) in non-manufacturing industries, (iii) in areas with less developed institutions and (iv) among high-risk firms. We highlight an important gain/risk tradeoff: gains from reallocation might come at the expense of increasing aggregate financial fragility, because maximizing reallocation gains requires a transfer of resource from large, old, and low-risk firms toward small, young, and high-risk firms.

Making Do With What You Have: Conflict, Input Misallocation and Firm Performance

This article investigates whether conflict induces distortions in the functioning and accessibility of markets for production inputs and in their allocation among firms. We study firm operations and outcomes in the context of Palestine during the Second Intifada. We analyse input usage over time across districts experiencing differential changes in conflict intensity. Conflict induces firms to substitute domestically produced materials for imported ones. Counterfactual analyses show that this mechanism can account for more than 70% of the fall in the output value of firms in high conflict districts.

What Is the Extent of Misallocation?

Measures of institutional quality are strong predictors of cross-country differences in income and productivity. The institutional economics literature has long maintained that one way institutions influence economic growth is by impacting the efficient allocation of production factors across firms. In this study, we measure the effect of bureaucracy, labor regulations, family management and financial frictions on input misallocation across firms using a unique dataset that combines firm-level financial data with a large survey administered to company managers. We use a general equilibrium model and a new econometric methodology that is robust to production function mis-specification to infer the size of the distortions induced by these frictions in six large European Union economies. For each of the countries included in our sample, we find that the amount of output that is lost as a result of these frictions is less than 1% of aggregate manufacturing production. This is relatively small compared to previous estimates, partly because we implement a number of methodological innovations to reduce upward bias in our measurements.

Capital and Labour (Mis)Allocation in the Euro Area: Some Stylized Facts and Determinants

We analyse the evolution of capital and labour (mis)allocation across firms in five euro-area countries (Belgium, France, Germany, Italy and Spain) and eight main sectors of the economy during the period 2002-2012. Three key stylized facts emerge. First, in all countries with the exception of Germany, capital allocation has worsened over time whereas the efficiency of labour reallocation has not changed significantly. Second, the observed increase in capital misallocation has been particularly severe in services as opposed to industry. Third, misallocation of both labour and capital dropped in all countries in 2009 and again for some country-sectors in 2011-2012. We next take stock of the possible drivers of input misallocation dynamics in a standard panel regression framework. Controlling for demand conditions and for the initial level of misallocation, heightened uncertainty, restrictive bank credit standards and tight product and labour market regulation are found to have boosted input misallocation, whereas the Great Recession per se exerted a cleansing effect.

Customer Capital, Markup Cyclicality, and Amplification

This paper studies the importance of firm-level price markup dynamics for business cycle fluctuations. Using state-of-the-art IO techniques to measure the behavior of markups over the business cycle at the firm level, I find that markups are countercyclical with an average elasticity of -1.1 with respect to real GDP. Importantly, I find substantial heterogeneity in markup cyclicality across firms, with small firms having significantly more counter-cyclical markups than large firms. Then, I develop a general equilibrium model by embedding customer capital (due to deep habits as in Ravn, Schmitt-Grohe, and Uribe, 2006) into a standard Hopenhayn (1992) model of firm dynamics with entry and exit. The calibrated model replicates these empirical facts and produces counter-cyclical firm sales dispersions consistent with the data. The resulting input misallocation amplifies both the volatility and persistence of the aggregate productivity shocks driving the business cycle.

Is Corruption Efficiency-Enhancing? A Case Study of Nine Central and Eastern European Countries

We investigate the role of corruption in the business environment in explaining the efficiency of within-sector production factor allocation across firms in nine Central and Eastern European (CEE) countries in 2003-2012. Using a conditional convergence model, we find evidence of a positive relationship between corruption growth and both labour and capital misallocation dynamics, once country framework conditions are controlled for: this link is larger the smaller the country, the lower the degree of political stability and civil liberties, and the weaker the quality of its regulations. As input misallocation is one of the determinants of productivity growth, we further show that the correlation between changes in corruption and TFP growth is indeed negative. Our results also hold when we tackle a possible omitted variable bias by instrumenting corruption with two instrumental variables (the percentage of women in Parliament and freedom of the press). In conclusion, targeted action against corruption in the CEE region would be efficiency-enhancing.

Capital and Labour (Mis)Allocation in the Euro Area: Some Stylized Facts and Determinants

We analyse the evolution of capital and labour (mis)allocation across firms in five euro-area countries (Belgium, France, Germany, Italy and Spain) and eight main sectors of the economy during the period 2002-2012. Three key stylized facts emerge. First, in all countries with the exception of Germany, capital allocation has worsened over time whereas the efficiency of labour reallocation has not changed significantly. Second, the observed increase in capital misallocation has been particularly severe in services as opposed to industry. Third, misallocation of both labour and capital dropped in all countries in 2009 and again for some country-sectors in 2011-2012. We next take stock of the possible drivers of input misallocation dynamics in a standard panel regression framework. Controlling for demand conditions and for the initial level of misallocation, heightened uncertainty, restrictive bank credit standards and tight product and labour market regulation are found to have boosted input misallocation, whereas the Great Recession per se exerted a cleansing effect. JEL Classification: D24, D61, O47

Is Corruption Efficiency-Enhancing? A Case Study of Nine Central and Eastern European Countries

We investigate the role of corruption in the business environment in explaining the efficiency of within-sector production factor allocation across firms in nine Central and Eastern European countries in the period 2003-2012. Using a conditional convergence model, we find evidence of a positive relationship between corruption growth and both labour and capital misallocation dynamics, once country framework conditions are controlled for: the link between corruption and input misallocation dynamics is larger the smaller the country, the lower the degree of political stability and of civil liberties, and the weaker the quality of its regulations. As input misallocation is one of the determinants of productivity growth, we further show that the relationship between changes in corruption and TFP growth is indeed negative. Our results hold when we tackle a possible omitted variable bias by instrumenting corruption with two instrumental variables (the percentage of women in Parliament and freedom of the press). JEL Classification: D24, D73, O47

Physical versus economic depletion of a nonrenewable natural resource

The present paper explores the relationship between physical and economic depletion of a nonrenewable natural resource using a decomposition of mining costs akin to the one used in the literature on productivity and technical change. We argue that this decomposition can provide key insights on future availability of nonrenewable natural resources. Using data on slate mining in Galicia (Northern Spain), we provide quantitative evidence of the role played by physical depletion in economic exhaustion but also of the offsetting effects of technical change. Additionally, we provide a measure of the effects on economic depletion of input prices, output, fixed inputs and production scale. Input prices and fixed input misallocation contributes far more to economic depletion than physical depletion while technical change has a remarkable negative contribution to economic depletion. Policy implications are discussed, particularly, the importance of promoting technical change.