Technical change and agglomeration

Although economic historians consider technical change to be a significant factor explaining the evolution of the spatial organization of an economy, economic geography still fails to address this important issue. By developing a simple two-region general equilibrium model under monopolistic competition, we show that agglomeration is triggered by technological progress shifting production towards more skill intensive techniques.Skill-biased change economic geography

TECHNICAL CHANGE IN AGRICULTURE

Research and Development/Tech Change/Emerging Technologies,

"Patent Activity and Technical Change"

This paper presents an aggregate production function of the generalized Fechner-Thurstone (GFT) form to analyze the impact of an important component of intellectual industrial property, namely patent activity, on technical change in the USA for the period 1947-1981. We define a technology-changer as a variable that has an impact on the elasticity of the marginal rate of technical substitution (mrts) between inputs of the GFT production function over time. Various types of US patent grant activity, specifically total, domestic, foreign, successful and unsuccessful patents, are used as instruments for the technology-changer. Using the GFT specification, the impacts of various technology-changers on the elasticity of the mrts between inputs are estimated directly. It is found that granted (or successful) patents, patents granted to foreign companies and individuals, total patent applications, and even unsuccessful patent applications, have significant impacts on the rates at which inputs are substituted for each other over time in production.

Technical Change, Learning, and Wages

This paper examines the relationship between technological change and wages using pooled cross-sectional industry-level data and several alternative indicators of the rate of introduction of new technology. Our main finding is that industries with a high rate of technical change pay higher wages to workers of given age and education, compared to less technologically advanced industries. This is Consistent with the notion that the introduction of new technology creates a demand for learning, that learning is a function of employee ability and effort, and that increases in wages are required to elicit increases in ability and effort. A related finding is that the wages of highly educated workers (especially recent graduates) relative to those of less educated workers are highest in technologically advanced industries; this is consistent with the notion that educated workers are better learners.

TECHNOLOGIES AND LOCALIZED TECHNICAL CHANGE

Heterogenous Technologies, Transformation Function, Localized Technical Change, Production Economics, Research Methods/ Statistical Methods, Q12, O33, C35,

Product variety and technical change

Several trade-based measures of product variety have recently been used implicitly to represent states of technology, promoting long-run growth. In this paper, we define the state of technology as the range of specialised production processes and propose the variety of capital goods available for production as a direct measure of technology. Within a simple growth framework, we derive a testable “conditional technological convergence” hypothesis on this measure. The hypothesis is tested with highly disaggregated trade data by economic categories, using tools from the income convergence literature. The results suggest that trade-based count measures of the variety of available capital goods indeed behave “as if” they were representing technology and that there is conditional technological convergence among our panel of mainly OECD and transition economies.Product variety, diffusion, adoption, technical change

The Environment and Directed Technical Change

This paper introduces endogenous and directed technical change in a growth model with environmental constraints. A unique final good is produced by combining inputs from two sectors. One of these sectors uses “dirty” machines and thus creates environmental degradation. Research can be directed to improving the technology of machines in either sector. We characterize dynamic tax policies that achieve sustainable growth or maximize intertemporal welfare. We show that: (i) in the case where the inputs are sufficiently substitutable, sustainable long-run growth can be achieved with temporary taxation of dirty innovation and production; (ii) optimal policy involves both “carbon taxes” and research subsidies, so that excessive use of carbon taxes is avoided; (iii) delay in intervention is costly: the sooner and the stronger is the policy response, the shorter is the slow growth transition phase; (iv) the use of an exhaustible resource in dirty input production helps the switch to clean innovation under laissez-faire when the two inputs are substitutes. Under reasonable parameter values and with sufficient substitutability between inputs, it is optimal to redirect technical change towards clean technologies immediately and optimal environmental regulation need not reduce long-run growth.environment; exhaustible resources; directed technological change; innovation

Green Biased Technical Change in Terms of Industrial Water Resources in China’s Yangtze River Economic Belt

As a significant ecological corridor from west to east across China, the Yangtze River Economical Belt (YREB) is in great need of green development and transformation. Rather than only focusing on the overall growth of green productivity, it is important to identify whether the technical change is biased towards economic performance or green performance in promoting green productivity. By employing the biased technical change theory and Malmquist index decomposition method, we analyze the green biased technical change in terms of industrial water resources in YREB at the output side and the input side respectively. We find that the green biased technical change varies during 2006–2015 at both the input side and output side in YREB. At the input side, water-saving biased technical change is generally dominant compared to water-using biased technical change during 2006–2015, presenting the substitution effects of non-water production factors. At the output side, the economy-growth biased technical change is the main force to promote green productivity, whereas the role of water-conservation biased technical change is insufficient. The green performance at the output side needs to be strengthened compared to the economic performance in YREB. A series of water-related environmental policies introduced in China since 2008 have promoted the green biased technical change both at the input side and the output side in YREB, but the policy effects at the output side is still inadequate compared to that at the input side. The technological innovation in sewage treatment and control need to catch up with the economic growth in YREB. Our research gives insights to enable a deeper understanding of the green biased technical change in YREB and will benefit more focused policy-making of green innovation

Productivity Growth, Technical Efficiency and Technical Change on Minnesota Farms

Changes and trends in farm productivity have been of intense interest to many involved with agriculture. This study used data envelopment analysis (DEA) to estimate the output-oriented Malmquist total factor productivity (TFP) index from panel data for 1993-2006 for farms in Southern Minnesota. Bootstrap methods were used to estimate confidence intervals for the productivity, efficiency change and technical change indices. The model included three inputs (labor, land and immediate expenditures) and six outputs (corn, soybean, milk, hog, beef, and nonfarm income). Productivity growth was found to be positive during the period, with an average annual productivity growth of 6.6 percent. However, TFP growth has been slowing down in recent years and indeed negative in 2000/01, 2002/03 and 2005/06. In the second stage of the analysis, the significance of various factors that might affect farm performance was estimated. Farm size (as measured by the log of farm income) was correlated with higher productivity which may help explain the increase in farm size in Minnesota farms in recent years. Government subsidies were found to have a negative impact on farm performance supporting the argument that agricultural subsidies may create disincentives for farmers to improve their productivity and efficiency. A higher nonfarm income ratio was positively related with higher productivity growth. A higher proportion of hired labor has a negative effect implying family labor is more crucial than hired labor in improving productivity.total factor productivity, farms, Malmquist index, data envelopment analysis, DEA, bootstrap, government subsidies, Farm Management, Productivity Analysis, Q12, C14,

Biased Technical Change, Intermediate Goods and Total Factor Productivity

Biased technical change can be defined as changes that affect the elasticity of output with respect to inputs. In this paper, I analyze the effect of biased technical change on total factor productivity (TFP). I construct an input-output economy in which firms produce gross output using capital, labor and intermediate goods. In equilibrium, biased technical change appears as an explicit part of TFP in the value added aggregate production function, where the latter is obtained through the aggregation of individual firms optimal decisions. A larger elasticity of gross output with respect to intermediates implies a smaller TFP level. I use the model to quantify the impact of biased technical change for measured TFP growth in Italy. The exercise shows that biased technical change can account for the productivity slowdown observed in Italy from 1994 to 2004